{"pageNumber":"157","pageRowStart":"3900","pageSize":"25","recordCount":46651,"records":[{"id":70241477,"text":"70241477 - 2022 - What common-garden experiments tell us about climate responses in plants","interactions":[],"lastModifiedDate":"2023-03-21T12:20:18.416592","indexId":"70241477","displayToPublicDate":"2022-05-09T07:19:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"What common-garden experiments tell us about climate responses in plants","docAbstract":"
  1. Common garden experiments are indoor or outdoor plantings of species or populations collected from multiple distinct geographic locations, grown together under shared conditions. These experiments examine a range of questions for theory and application using a variety of methods for analysis. The eight papers of this special feature comprise a cross section of contemporary approaches, summarized and synthesized here by what they tell us about the relationships between climate-related trait spectra and fitness optima.
  2. Four of the eight papers are based on field experiments in prairie, desert, Mediterranean and boreal biomes. Representative of many common garden experiments, these experiments reveal consistent evidence of traits varying with population climate provenance, but evidence of a tradeoff between growth and tolerance traits or of consistent fitness optimization at home is scant, in contrast to trait theory. Two synthesis papers highlight dominant patterns of trait divergence, including for an exotic invasive species. One theoretical paper warned that unknown kinship relationships between populations can result in the misidentification of adaptive trait divergence. A third synthesis paper formulated novel and ambitious goals for common-garden studies through including measurement of response variables at multiple levels of biological organization.
  3. The featured papers discuss multiple avenues for improving common garden studies. Genomic analysis, together with the quantification of kinship relationships, will continue to reveal the influence of environmental drivers on gene selection. Measuring a more complete set of fitness traits, especially for traits related to regeneration, will permit the development of projection models to explicitly link trait spectra, climate patterns and fitness consequences. More standardized data reporting will additionally improve abilities to synthesize findings across experiments. Testing population performance in competition with other species will produce more robust fitness comparisons between genotypes, especially for slower-growing genotypes in higher-resource environments. Adding gardens in and beyond climatic edge locations will furthermore strengthen the understanding of population failure and species exclusion. Finally, there is unrealized potential in adding ecosystem-level observations to common-garden studies that will enhance integrative analysis across scales of biological organization and scientific domains.
  4. Synthesis. With novel, creative designs, data integration and synthesis, common garden experiments will continue to advance the understanding of trait ensembles interacting with climate across scales of biological organization, provide pivotal data for global change models and guide ecological applications such as restoration of habitats for rare and climate sensitive species.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13887","usgsCitation":"Schwinning, S., Lorti, C.J., Esque, T., and DeFalco, L., 2022, What common-garden experiments tell us about climate responses in plants: Journal of Ecology, v. 110, no. 5, p. 986-996, https://doi.org/10.1111/1365-2745.13887.","productDescription":"11 p.","startPage":"986","endPage":"996","ipdsId":"IP-138947","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447867,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13887","text":"Publisher Index Page"},{"id":414429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Schwinning, Susanne","contributorId":303275,"corporation":false,"usgs":false,"family":"Schwinning","given":"Susanne","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":866974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorti, Christopher J.","contributorId":303276,"corporation":false,"usgs":false,"family":"Lorti","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":866975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":866976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":208658,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":866977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70231381,"text":"70231381 - 2022 - Classifying Worldwide Standardized Seismograph Network records using a simple convolution neural network","interactions":[],"lastModifiedDate":"2022-09-01T14:34:12.884031","indexId":"70231381","displayToPublicDate":"2022-05-09T06:55:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Classifying Worldwide Standardized Seismograph Network records using a simple convolution neural network","docAbstract":"

The U.S. Geological Survey (USGS) maintains an archive of 189,180 digitized scans of analog seismic records from the World‐Wide Standardized Seismograph Network (WWSSN). Although these scans have been made public, the archive is too large to manually review, and few researchers have utilized large numbers of these records. To facilitate further research using this historical dataset, we develop a simple convolutional neural network (CNN) that rapidly (∼4.75 s/film chip) classifies scanned film chip images (called “chips,” because they are individually cut segments of 70 mm film) into four categories of “interestingness” to earthquake seismologists based on the presence of earthquakes and other seismic signals in the record: “no interest,” “little interest,” “interest,” and “high interest.” The CNN, dubbed “Seismic Analog Record Network” (SARNet), can identify four types of seismic traces (“no events,” “minor events,” “major events,” and “errors”) in 200 × 200 pixel subcrops with an accuracy of 92% using a confidence threshold of 85%. SARNet then converts 100 random subcrops from each film chip into the overall classification of interestingness. In this task, SARNet performed as well as expert human classifiers in determining the film chip’s overall interest grade. Applying SARNet to 34,000 film chips in the WWSSN archive found that 21% of the images were of “high interest” and had an “indeterminate” rate of only 4%. Thus, the need for the manual review of images was reduced by 79%. Sorting of film chips derived from SARNet will expedite further exploration of the archive of digitized analog seismic records stored at the USGS.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220220017","usgsCitation":"Nagle-McNaughton, N., Ringler, A.T., Anthony, R.E., Alejandro, A.C., Wilson, D.C., and Wilgus, J.T., 2022, Classifying Worldwide Standardized Seismograph Network records using a simple convolution neural network: Seismological Research Letters, v. 93, no. 5, p. 2451-2466, https://doi.org/10.1785/0220220017.","productDescription":"16 p.","startPage":"2451","endPage":"2466","ipdsId":"IP-135431","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":400380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagle-McNaughton, Nagle","contributorId":291491,"corporation":false,"usgs":false,"family":"Nagle-McNaughton","given":"Nagle","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":842454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alejandro, Alexis Casondra Bianca 0000-0002-3401-9303","orcid":"https://orcid.org/0000-0002-3401-9303","contributorId":246023,"corporation":false,"usgs":true,"family":"Alejandro","given":"Alexis","email":"","middleInitial":"Casondra Bianca","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilgus, Justin Thomas 0000-0001-9239-1579","orcid":"https://orcid.org/0000-0001-9239-1579","contributorId":291493,"corporation":false,"usgs":true,"family":"Wilgus","given":"Justin","email":"","middleInitial":"Thomas","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842459,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70231448,"text":"70231448 - 2022 - Incorporating snowmelt into daily estimates of recharge using a state-space model of infiltration","interactions":[],"lastModifiedDate":"2022-11-16T16:23:43.278815","indexId":"70231448","displayToPublicDate":"2022-05-07T06:50:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating snowmelt into daily estimates of recharge using a state-space model of infiltration","docAbstract":"

A state-space model (SSM) of infiltration estimates daily groundwater recharge using time-series of groundwater-level altitude and meteorological inputs (liquid precipitation, snowmelt, and evapotranspiration). The model includes diffuse and preferential flow through the unsaturated zone, where preferential flow is a function of liquid precipitation and snowmelt rates and a threshold rate, above which there is direct recharge to the water table. Model parameters are estimated over seasonal periods and the SSM is coupled with the Kalman Filter (KF) to assimilate recent observations (hydraulic head) and meteorological inputs into recharge estimates. The approach can take advantage of real-time hydrologic and meteorological data to deliver real-time recharge estimates. The model is demonstrated on daily observations from two bedrock wells in carbonate aquifers of northwestern New York (USA) between 2013 and 2018. Meteorological inputs for liquid precipitation and snowmelt are compiled from SNODAS (2021). Results for recharge during winter and spring seasons show preferential flow events to the water table from liquid precipitation, snowmelt, or a combination of the two. Recharge estimates summed annually are consistent with previous estimates of recharge reported from groundwater flow and surface-process models. Results from the SSM and KF point to errors in meteorological inputs, such as the snowmelt rate, that are not compatible with hydraulic head observations. Whereas liquid and solid precipitation are measured at discrete stations and extrapolated to 1-km2 grid cells, snowmelt is a meteorological modeled outcome that may not represent conditions in the vicinity of monitoring well locations.

","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.13206","usgsCitation":"Shapiro, A.M., Day-Lewis, F., Kappel, W.M., and Williams, J., 2022, Incorporating snowmelt into daily estimates of recharge using a state-space model of infiltration: Groundwater, v. 60, no. 6, p. 721-746, https://doi.org/10.1111/gwat.13206.","productDescription":"26 p.","startPage":"721","endPage":"746","ipdsId":"IP-130903","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":447877,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13206","text":"Publisher Index Page"},{"id":435854,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MRGR88","text":"USGS data release","linkHelpText":"Algorithms for model parameter estimation and state estimation applied to a state-space model for one-dimensional vertical infiltration incorporating snowmelt rate as a system input"},{"id":400497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":842636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":842637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70231264,"text":"dr1156 - 2022 - U.S. Geological Survey national shoreline change— Summary statistics for updated vector shorelines (1800s–2010s) and associated shoreline change data for the Georgia and Florida coasts","interactions":[],"lastModifiedDate":"2026-03-18T19:28:05.893773","indexId":"dr1156","displayToPublicDate":"2022-05-06T11:45:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1156","displayTitle":"U.S. Geological Survey National Shoreline Change— Summary Statistics for Updated Vector Shorelines (1800s–2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts","title":"U.S. Geological Survey national shoreline change— Summary statistics for updated vector shorelines (1800s–2010s) and associated shoreline change data for the Georgia and Florida coasts","docAbstract":"

Rates of shoreline change have been updated for the open-ocean sandy coastlines of Georgia and Florida as part of the U.S. Geological Survey’s Coastal Change Hazards programmatic focus. This work was formerly within the National Assessment of Shoreline Change project. Shorelines were compiled from the original report published in 2005, recent update reports, and additional light detection and ranging (lidar) shorelines which were extracted from lidar data collected prior to and following Hurricane Irma, which made landfall in September 2017. These shorelines were used to compute long- and short-term rates that incorporate the proxy-datum bias on a transect-by-transect basis. The proxy-datum bias accounts for the unidirectional onshore bias of proxy-based high water line shorelines relative to datum-based mean high water shorelines. In this study, the coast of Georgia exhibited the highest average rates of erosion and accretion in both the long term (approximately 150 years) and the short term (approximately 30 years). Shoreline positions from the mid-1800s through 2018 were used to update the shoreline change rates for Florida and Georgia using the Digital Shoreline Analysis System (DSAS) software.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1156","usgsCitation":"Kratzmann, M.G., 2022, U.S. Geological Survey national shoreline change— Summary statistics for updated vector shorelines (1800s–2010s) and associated shoreline change data for the Georgia and Florida coasts: U.S. Geological Survey Data Report 1156, 8 p., https://doi.org/10.3133/dr1156.","productDescription":"Report: vi, 8 p.; Data Release","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-132897","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":400139,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1156/dr1156.XML"},{"id":400294,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/dr1156/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1156"},{"id":400136,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J3CVN4","text":"USGS data release","linkHelpText":"USGS national shoreline change—A GIS compilation of updated vector shorelines (1800s–2010s) and associated shoreline change data for the Georgia and Florida Coasts"},{"id":400134,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1156/coverthb.jpg"},{"id":400135,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1156/dr1156.pdf","text":"Report","size":"1.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1156"},{"id":400138,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1156/images/"},{"id":501269,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112990.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida, Georgia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.71484375,\n 24.287026865376436\n ],\n [\n -78.486328125,\n 24.287026865376436\n ],\n [\n -78.486328125,\n 32.69486597787505\n ],\n [\n -87.71484375,\n 32.69486597787505\n ],\n [\n -87.71484375,\n 24.287026865376436\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543–1598

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-05-06","noUsgsAuthors":false,"publicationDate":"2022-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kratzmann, Meredith G. 0000-0002-2513-2144 mkratzmann@usgs.gov","orcid":"https://orcid.org/0000-0002-2513-2144","contributorId":4950,"corporation":false,"usgs":true,"family":"Kratzmann","given":"Meredith","email":"mkratzmann@usgs.gov","middleInitial":"G.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842158,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70255103,"text":"70255103 - 2022 - The potential of semi-structured citizen science data as a supplement for conservation decision-making: Validating the performance of eBird against targeted avian monitoring efforts","interactions":[],"lastModifiedDate":"2024-06-17T15:10:24.743676","indexId":"70255103","displayToPublicDate":"2022-05-06T09:57:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The potential of semi-structured citizen science data as a supplement for conservation decision-making: Validating the performance of eBird against targeted avian monitoring efforts","docAbstract":"

Methods are being developed to capitalize on citizen science data for research and monitoring, but these data are rarely used within established decision-making frameworks of wildlife agencies. Citizen science data are often collected at higher resolution and extent than targeted monitoring programs, and may provide complementary information. Here, we demonstrate that carefully filtered semi-structured citizen science observations, when paired with targeted survey data, can produce ecological predictions at higher resolution and extent than targeted surveys alone, and both datasets can represent complementary aspects of species' ecology. We present case studies demonstrating how citizen science data can enhance or supplement decision-making of government and conservation organizations. First, we show how the continuous spatial coverage of citizen science projects, when coupled with targeted surveys, can improve estimates of metrics used by the U.S. Fish and Wildlife Service in regulatory processes to estimate population size, and inform take limits of federally managed species nationwide. Second, we show that the spatial coverage of citizen science accommodates dynamic avian space use patterns during key times of the year, relative to standardized monitoring protocols carried out by the Illinois Natural History Survey. Lastly, we demonstrate that citizen science information can replicate estimates of migratory chronologies for the Illinois Natural History Survey and the U.S. Fish and Wildlife Service for some waterfowl species, and in some contexts can supplement missing data on abundance. These findings illustrate the value of integrating validated information from semi-structured citizen science into the current evidence base used to justify, inform, and evaluate conservation decision-making.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2022.109556","usgsCitation":"Stuber, E.F., Robinson, O., Bjerre, E.R., Otto, M.C., Millsap, B., Zimmerman, G., Brasher, M., Ringelman, K., Fournier, A., Yetter, A., Isola, J., and Ruiz-Gutierrez, V., 2022, The potential of semi-structured citizen science data as a supplement for conservation decision-making: Validating the performance of eBird against targeted avian monitoring efforts: Biological Conservation, v. 270, 109556, 11 p., https://doi.org/10.1016/j.biocon.2022.109556.","productDescription":"109556, 11 p.","ipdsId":"IP-134088","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":488728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2022.109556","text":"Publisher Index Page"},{"id":430277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Illinois, Iowa, Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.49828581034168,\n 39.76455400687408\n ],\n [\n -122.49828581034168,\n 38.81660641718298\n ],\n [\n -121.0222303704384,\n 38.81660641718298\n ],\n [\n -121.0222303704384,\n 39.76455400687408\n ],\n [\n -122.49828581034168,\n 39.76455400687408\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.90160005903965,\n 41.45769825249826\n ],\n [\n -92.50893391243744,\n 41.45769825249826\n ],\n [\n -92.50893391243744,\n 38.85655448556952\n ],\n [\n -88.90160005903965,\n 38.85655448556952\n ],\n [\n -88.90160005903965,\n 41.45769825249826\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"270","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":903404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Orin","contributorId":338622,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":903405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjerre, Emily R.","contributorId":338623,"corporation":false,"usgs":false,"family":"Bjerre","given":"Emily","email":"","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Otto, Mark C.","contributorId":338624,"corporation":false,"usgs":false,"family":"Otto","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millsap, Brian A.","contributorId":338625,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Guthrie S.","contributorId":338626,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brasher, Michael G.","contributorId":338627,"corporation":false,"usgs":false,"family":"Brasher","given":"Michael G.","affiliations":[{"id":81180,"text":"Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":903410,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ringelman, Kevin M.","contributorId":338628,"corporation":false,"usgs":false,"family":"Ringelman","given":"Kevin M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":903411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fournier, Auriel","contributorId":338631,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel","email":"","affiliations":[{"id":81181,"text":"University of Illinois at Urbana-Champaign, Havana","active":true,"usgs":false}],"preferred":false,"id":903412,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yetter, Aaron","contributorId":338634,"corporation":false,"usgs":false,"family":"Yetter","given":"Aaron","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":903413,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Isola, Jennifer","contributorId":242027,"corporation":false,"usgs":false,"family":"Isola","given":"Jennifer","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":904306,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ruiz-Gutierrez, Viviana","contributorId":261212,"corporation":false,"usgs":false,"family":"Ruiz-Gutierrez","given":"Viviana","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":904307,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70254768,"text":"70254768 - 2022 - Using predictions from multiple anthropogenic threats to estimate future population persistence of an imperiled species","interactions":[],"lastModifiedDate":"2024-06-07T14:46:22.029683","indexId":"70254768","displayToPublicDate":"2022-05-06T09:38:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using predictions from multiple anthropogenic threats to estimate future population persistence of an imperiled species","docAbstract":"

Imperiled species face numerous and diverse anthropogenic threats to their persistence, and wildlife managers charged with making conservation decisions benefit from a sound understanding of how populations, species, and ecosystems will respond to future changes in threats to biodiversity. In southeastern North America, the gopher tortoise (Gopherus polyphemus) is a keystone species in upland ecosystems; however, tortoise populations have declined strongly over the last century, and the species is a candidate for increased protection by the United States federal government under the Endangered Species Act (ESA). Here, we sought to support conservation decision making for G. polyphemus by developing a spatially-explicit predictive population model that linked four anthropogenic threats (climate warming, sea-level rise, urbanization, habitat degradation) to demographic vital rates and used the model to estimate future changes in the number of individuals, populations, and metapopulations across the species’ range. Using recent survey data, we projected 457 populations for 80 years into the future under scenarios varying in threat magnitude, management magnitude, and demographic uncertainty. Population projections predicted that the number of individuals, populations, and metapopulations would decline among all simulated scenarios in the next 80 years. Model predictions were more sensitive to variation in adult survival and immigration rates than to variation in threat magnitude. A scenario with decreased habitat management and threat effects from climate warming, sea-level rise, and urbanization predicted geographic variation in persistence probabilities for populations that might result in decreased genetic representation across the species' range. Our results can be used to support conservation listing decisions for the gopher tortoise as part of its federal Species Status Assessment and provide an analytical framework for how to link diverse threats to geographically-varying demographic rates during population viability analyses for wide-ranging imperiled species around the world.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02143","usgsCitation":"Folt, B., Marshall, M., Emanuel, J.A., Dziadzio, M., Cooke, J., Mena, L., Hinderliter, M., Hoffmann, S., Rankin, N., Tupy, J., and McGowan, C., 2022, Using predictions from multiple anthropogenic threats to estimate future population persistence of an imperiled species: Global Ecology and Conservation, v. 36, e02143, 21 p., https://doi.org/10.1016/j.gecco.2022.e02143.","productDescription":"e02143, 21 p.","ipdsId":"IP-133548","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":447881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02143","text":"Publisher Index Page"},{"id":429647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Folt, Brian","contributorId":267702,"corporation":false,"usgs":false,"family":"Folt","given":"Brian","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":902450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Michael","contributorId":337474,"corporation":false,"usgs":false,"family":"Marshall","given":"Michael","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":902451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emanuel, Jo Anna","contributorId":337478,"corporation":false,"usgs":false,"family":"Emanuel","given":"Jo","email":"","middleInitial":"Anna","affiliations":[{"id":81021,"text":"Florida Ecological Services","active":true,"usgs":false}],"preferred":false,"id":902452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dziadzio, Michelina","contributorId":337480,"corporation":false,"usgs":false,"family":"Dziadzio","given":"Michelina","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":902453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Jane","contributorId":337481,"corporation":false,"usgs":false,"family":"Cooke","given":"Jane","email":"","affiliations":[{"id":81021,"text":"Florida Ecological Services","active":true,"usgs":false}],"preferred":false,"id":902454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mena, Lourdes","contributorId":105576,"corporation":false,"usgs":true,"family":"Mena","given":"Lourdes","email":"","affiliations":[],"preferred":false,"id":902455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hinderliter, Matthew","contributorId":337483,"corporation":false,"usgs":false,"family":"Hinderliter","given":"Matthew","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoffmann, Scott","contributorId":337616,"corporation":false,"usgs":false,"family":"Hoffmann","given":"Scott","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":902457,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rankin, Nicole","contributorId":337485,"corporation":false,"usgs":false,"family":"Rankin","given":"Nicole","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902458,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tupy, John","contributorId":337486,"corporation":false,"usgs":false,"family":"Tupy","given":"John","affiliations":[{"id":81024,"text":"Mississippi Ecological Services Office","active":true,"usgs":false}],"preferred":false,"id":902459,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":902460,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70231347,"text":"70231347 - 2022 - Microtremor array method using spatial autocorrelation analysis of Rayleigh‑wave data","interactions":[],"lastModifiedDate":"2022-05-06T13:42:57.669261","indexId":"70231347","displayToPublicDate":"2022-05-06T08:33:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2453,"text":"Journal of Seismology","active":true,"publicationSubtype":{"id":10}},"title":"Microtremor array method using spatial autocorrelation analysis of Rayleigh‑wave data","docAbstract":"Microtremor array measurements (MAM) and passive surface wave methods in general, have been increasingly used to non-invasively estimate shear-wave velocity structures (Vs) for various purposes. The methods estimate dispersion curves and invert them for retrieving S-wave velocity profiles. This paper summarizes principles, limitations, data collection and processing methods. It intends to enable students and practitioners to understand the principles needed to plan a microtremor array investigation, record and process the data, and evaluate the quality of investigation result. The paper focuses on the spatial autocorrelation (SPAC) processing method among microtremor array processing methods because of its relatively simple calculation and stable applicability.","language":"English","publisher":"Springer","doi":"10.1007/s10950-021-10051-y","usgsCitation":"Hayashi, K., Asten, M.W., Stephenson, W.J., Cornou, C., Hobiger, M., Pilz, M., and Yamanaka, H., 2022, Microtremor array method using spatial autocorrelation analysis of Rayleigh‑wave data: Journal of Seismology, 27 p., https://doi.org/10.1007/s10950-021-10051-y.","productDescription":"27 p.","ipdsId":"IP-131758","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":447892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10950-021-10051-y","text":"Publisher Index Page"},{"id":400275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayashi, Koichi","contributorId":291435,"corporation":false,"usgs":false,"family":"Hayashi","given":"Koichi","affiliations":[{"id":62705,"text":"Geometrics/OYO Corporation, San Jose, CA","active":true,"usgs":false}],"preferred":false,"id":842349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asten, Michael W.","contributorId":184065,"corporation":false,"usgs":false,"family":"Asten","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":842350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornou, Cecile","contributorId":175495,"corporation":false,"usgs":false,"family":"Cornou","given":"Cecile","email":"","affiliations":[{"id":27334,"text":"Universite Grenoble Alpes","active":true,"usgs":false}],"preferred":false,"id":842352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobiger, Manuel","contributorId":291436,"corporation":false,"usgs":false,"family":"Hobiger","given":"Manuel","email":"","affiliations":[{"id":62706,"text":"Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland / Federal Institute for Geosciences and Natural Resources (BGR), Hanover, Germany","active":true,"usgs":false}],"preferred":false,"id":842353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilz, Marco","contributorId":264169,"corporation":false,"usgs":false,"family":"Pilz","given":"Marco","email":"","affiliations":[],"preferred":false,"id":842354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yamanaka, Hiroaki","contributorId":291437,"corporation":false,"usgs":false,"family":"Yamanaka","given":"Hiroaki","email":"","affiliations":[{"id":62709,"text":"Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","active":true,"usgs":false}],"preferred":false,"id":842355,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70231680,"text":"70231680 - 2022 - Major point and nonpoint sources of nutrient pollution to surface water have declined throughout the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2022-05-20T11:55:42.439649","indexId":"70231680","displayToPublicDate":"2022-05-06T06:53:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Major point and nonpoint sources of nutrient pollution to surface water have declined throughout the Chesapeake Bay watershed","docAbstract":"

Understanding drivers of water quality in local watersheds is the first step for implementing targeted restoration practices. Nutrient inventories can inform water quality management decisions by identifying shifts in nitrogen (N) and phosphorus (P) balances over space and time while also keeping track of the likely urban and agricultural point and nonpoint sources of pollution. The Chesapeake Bay Program's Chesapeake Assessment Scenario Tool (CAST) provides N and P balance data for counties throughout the Chesapeake Bay watershed, and these data were leveraged to create a detailed nutrient inventory for all the counties in the watershed from 1985–2019. This study focuses on three primary watershed nutrient balance components—agricultural surplus, atmospheric deposition, and point source loads—which are thought to be the leading anthropogenic drivers of nutrient loading trends across the watershed. All inputs, outputs, and derived metrics (n=53) like agricultural surplus and nutrient use efficiency, were subjected to short- and long-term trend analyses to discern how sources of pollution to surface water have changed over time. Across the watershed from 1985–2019, downward trends in atmospheric deposition were ubiquitous. Though there are varying effects, long-term declines in agricultural surplus were observed, likely because nutrients are being managed more efficiently. Multiple counties' point source loads declined, primarily associated with upgrades at major cities that discharge treated wastewater directly to tidal waters. Despite all of these positive developments, recent increases in agricultural surpluses from 2009–2019 highlight that water quality gains may soon be reversed in many agricultural areas of the basin. Besides tracking progress and jurisdictional influence on pollution sources, the nutrient inventory can be used for retrospective water quality analysis to highlight drivers of past improvement/degradation of water quality trends and for decision makers to develop and track their near- and long-term watershed restoration strategies.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/2515-7620/ac5db6","usgsCitation":"Sabo, R.D., Sullivan, B.M., Wu, C., Trentacoste, E.M., Zhang, Q., Shenk, G.W., Bhatt, G., and Linker, L.C., 2022, Major point and nonpoint sources of nutrient pollution to surface water have declined throughout the Chesapeake Bay watershed: Environmental Research Communications, v. 4, no. 4, 045012, 11 p., https://doi.org/10.1088/2515-7620/ac5db6.","productDescription":"045012, 11 p.","ipdsId":"IP-139189","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":447898,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2515-7620/ac5db6","text":"Publisher Index Page"},{"id":400855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Unites States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1904296875,\n 38.41916639395372\n ],\n [\n -75.223388671875,\n 38.64261790634527\n ],\n [\n -75.35522460937499,\n 38.79690830348427\n ],\n [\n -75.498046875,\n 38.87392853923629\n ],\n [\n -75.5419921875,\n 39.0533181067413\n ],\n [\n -75.662841796875,\n 39.30029918615029\n ],\n [\n -75.750732421875,\n 39.70718665682654\n ],\n [\n -75.6298828125,\n 40.052847601823984\n ],\n [\n -75.69580078125,\n 40.07807142745009\n ],\n [\n -75.95947265625,\n 40.052847601823984\n ],\n [\n -76.0693359375,\n 40.069664523297774\n ],\n [\n -76.058349609375,\n 40.18726672309203\n ],\n [\n -75.9375,\n 40.29628651711716\n ],\n [\n -75.91552734375,\n 40.3549167507906\n ],\n [\n -75.89355468749999,\n 40.47202439692057\n ],\n [\n -76.09130859375,\n 40.56389453066509\n ],\n [\n -76.190185546875,\n 40.64730356252251\n ],\n [\n -76.0693359375,\n 40.75557964275589\n ],\n [\n -75.83862304687499,\n 40.871987756697415\n ],\n [\n -75.76171875,\n 40.91351257612758\n ],\n [\n -75.706787109375,\n 40.95501133048621\n ],\n [\n -75.7177734375,\n 41.071069130806414\n ],\n [\n -75.662841796875,\n 41.1455697310095\n ],\n [\n -75.5419921875,\n 41.13729606112276\n ],\n [\n -75.322265625,\n 41.104190944576466\n ],\n [\n -75.377197265625,\n 41.22824901518529\n ],\n [\n -75.377197265625,\n 41.28606238749825\n ],\n [\n -75.377197265625,\n 41.43449030894922\n ],\n [\n -75.399169921875,\n 41.6154423246811\n ],\n [\n -75.34423828125,\n 41.68111756290652\n ],\n [\n -75.2783203125,\n 41.91045347666418\n ],\n [\n -75.38818359375,\n 42.00848901572399\n ],\n [\n -75.377197265625,\n 42.09007006868398\n ],\n [\n -75.223388671875,\n 42.17968819665961\n ],\n [\n -74.970703125,\n 42.26917949243506\n ],\n [\n -74.8388671875,\n 42.32606244456202\n ],\n [\n -74.520263671875,\n 42.415346114253616\n ],\n [\n -74.278564453125,\n 42.54498667313236\n ],\n [\n -74.322509765625,\n 42.64204079304426\n ],\n [\n -74.410400390625,\n 42.80346172417078\n ],\n [\n -74.68505859374999,\n 42.924251753870685\n ],\n [\n -75.069580078125,\n 42.98053954751642\n ],\n [\n -75.38818359375,\n 42.96446257387128\n ],\n [\n -75.684814453125,\n 42.93229601903058\n ],\n [\n -75.9375,\n 42.87596410238256\n ],\n [\n -76.201171875,\n 42.827638636242284\n ],\n [\n -76.26708984375,\n 42.72280375732727\n ],\n [\n -76.2890625,\n 42.601619944327965\n ],\n [\n -76.2890625,\n 42.52069952914966\n ],\n [\n -76.343994140625,\n 42.415346114253616\n ],\n [\n -76.46484375,\n 42.382894009614034\n ],\n [\n -76.640625,\n 42.431565872579185\n ],\n [\n -76.7724609375,\n 42.39912215986002\n ],\n [\n -76.80541992187499,\n 42.24478535602799\n ],\n [\n -76.88232421875,\n 42.285437007491545\n ],\n [\n -76.9482421875,\n 42.415346114253616\n ],\n [\n -77.04711914062499,\n 42.44778143462245\n ],\n [\n -77.14599609375,\n 42.415346114253616\n ],\n [\n -77.2998046875,\n 42.382894009614034\n ],\n [\n -77.222900390625,\n 42.54498667313236\n ],\n [\n -77.442626953125,\n 42.69858589169842\n ],\n [\n -77.574462890625,\n 42.60970621339408\n ],\n [\n -77.640380859375,\n 42.48830197960227\n ],\n [\n -77.728271484375,\n 42.439674178149424\n ],\n [\n -77.6513671875,\n 42.31793945446847\n ],\n [\n -77.596435546875,\n 42.22851735620852\n ],\n [\n -77.5634765625,\n 42.09007006868398\n ],\n [\n -77.6953125,\n 41.92680320648791\n ],\n [\n -77.9150390625,\n 41.83682786072714\n ],\n [\n -78.0908203125,\n 41.795888098191426\n ],\n [\n -78.453369140625,\n 41.599013054830216\n ],\n [\n -78.453369140625,\n 41.50857729743935\n ],\n [\n -78.42041015625,\n 41.376808565702355\n ],\n [\n -78.3984375,\n 41.21172151054787\n ],\n [\n -78.519287109375,\n 41.054501963290505\n ],\n [\n -78.541259765625,\n 40.9218144123785\n ],\n [\n -78.409423828125,\n 40.713955826286046\n ],\n [\n -78.299560546875,\n 40.55554790286311\n ],\n [\n -78.343505859375,\n 40.48873742102282\n ],\n [\n -78.475341796875,\n 40.30466538259176\n ],\n [\n -78.64013671875,\n 40.06125658140474\n ],\n [\n -78.826904296875,\n 39.9434364619742\n ],\n [\n -78.848876953125,\n 39.80853604144591\n ],\n [\n -78.85986328125,\n 39.715638134796336\n ],\n [\n -78.99169921875,\n 39.69873414348139\n ],\n [\n -79.046630859375,\n 39.64799732373418\n ],\n [\n -79.266357421875,\n 39.436192999314095\n ],\n [\n -79.420166015625,\n 39.2832938689385\n ],\n [\n -79.354248046875,\n 39.26628442213066\n ],\n [\n -79.266357421875,\n 39.232253141714885\n ],\n [\n -79.2333984375,\n 39.155622393423215\n ],\n [\n -79.244384765625,\n 39.01918369029134\n ],\n [\n -79.27734374999999,\n 38.89103282648846\n ],\n [\n -79.398193359375,\n 38.74551518488265\n ],\n [\n -79.661865234375,\n 38.54816542304656\n ],\n [\n -79.683837890625,\n 38.47079371120379\n ],\n [\n -79.727783203125,\n 38.34165619279595\n ],\n [\n -79.815673828125,\n 38.20365531807149\n ],\n [\n -80.04638671875,\n 38.013476231041935\n ],\n [\n -80.17822265625,\n 37.779398571318765\n ],\n [\n -80.2880859375,\n 37.59682400108367\n ],\n [\n -80.4638671875,\n 37.47485808497102\n ],\n [\n -80.694580078125,\n 37.38761749978395\n ],\n [\n -80.771484375,\n 37.23032838760387\n ],\n [\n -80.57373046875,\n 37.26530995561875\n ],\n [\n -80.44189453125,\n 37.309014074275915\n ],\n [\n -80.255126953125,\n 37.31775185163688\n ],\n [\n -80.013427734375,\n 37.3002752813443\n ],\n [\n -79.8486328125,\n 37.23907530202184\n ],\n [\n -79.771728515625,\n 37.18657859524883\n ],\n [\n -79.6728515625,\n 37.07271048132943\n ],\n [\n -79.541015625,\n 37.09900294387622\n ],\n [\n -79.354248046875,\n 37.142803443716836\n ],\n [\n -79.1455078125,\n 37.10776507118514\n ],\n [\n -79.112548828125,\n 37.055177106660814\n ],\n [\n -78.936767578125,\n 36.932330061503144\n ],\n [\n -78.837890625,\n 36.94111143010769\n ],\n [\n -78.662109375,\n 37.055177106660814\n ],\n [\n -78.486328125,\n 37.03763967977139\n ],\n [\n -78.42041015625,\n 36.94111143010769\n ],\n [\n -78.20068359374999,\n 36.96744946416934\n ],\n [\n -77.904052734375,\n 37.03763967977139\n ],\n [\n -77.750244140625,\n 37.081475648860525\n ],\n [\n -77.53051757812499,\n 37.081475648860525\n ],\n [\n -77.354736328125,\n 37.07271048132943\n ],\n [\n -77.069091796875,\n 37.081475648860525\n ],\n [\n -76.959228515625,\n 37.01132594307015\n ],\n [\n -76.893310546875,\n 36.932330061503144\n ],\n [\n -76.871337890625,\n 36.83566824724438\n ],\n [\n -76.849365234375,\n 36.677230602346214\n ],\n [\n -76.7724609375,\n 36.527294814546245\n ],\n [\n -76.629638671875,\n 36.55377524336089\n ],\n [\n -76.46484375,\n 36.589068371399115\n ],\n [\n -76.35498046875,\n 36.48314061639213\n ],\n [\n -76.256103515625,\n 36.57142382346277\n ],\n [\n -76.190185546875,\n 36.66841891894786\n ],\n [\n -76.0693359375,\n 36.65079252503471\n ],\n [\n -75.9375,\n 36.66841891894786\n ],\n [\n -75.948486328125,\n 36.76529191711624\n ],\n [\n -75.904541015625,\n 37.01132594307015\n ],\n [\n -75.926513671875,\n 37.17782559332976\n ],\n [\n -75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Sabo, Robert D. 0000-0001-8713-7699","orcid":"https://orcid.org/0000-0001-8713-7699","contributorId":178226,"corporation":false,"usgs":false,"family":"Sabo","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":843387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Breck Maura 0000-0002-9199-7568","orcid":"https://orcid.org/0000-0002-9199-7568","contributorId":291929,"corporation":false,"usgs":true,"family":"Sullivan","given":"Breck","email":"","middleInitial":"Maura","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Cuiyin","contributorId":291930,"corporation":false,"usgs":false,"family":"Wu","given":"Cuiyin","email":"","affiliations":[{"id":62786,"text":"ERT, Inc.","active":true,"usgs":false}],"preferred":false,"id":843389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trentacoste, Emily M. 0000-0003-2870-861X","orcid":"https://orcid.org/0000-0003-2870-861X","contributorId":218532,"corporation":false,"usgs":false,"family":"Trentacoste","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":843390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":843391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bhatt, Gopal 0000-0002-6627-793X","orcid":"https://orcid.org/0000-0002-6627-793X","contributorId":252963,"corporation":false,"usgs":false,"family":"Bhatt","given":"Gopal","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":843393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":843394,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70231318,"text":"70231318 - 2022 - Hydroclimate response of spring ecosystems to a two-stage Younger Dryas event in western North America","interactions":[],"lastModifiedDate":"2022-05-06T14:29:19.84111","indexId":"70231318","displayToPublicDate":"2022-05-05T09:26:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimate response of spring ecosystems to a two-stage Younger Dryas event in western North America","docAbstract":"

The Younger Dryas (YD) climate event is the preeminent example of abrupt climate change in the recent geologic past. Climate conditions during the YD were spatially complex, and high-resolution sediment cores in the North Atlantic, western Europe, and East Asia have revealed it unfolded in two distinct stages, including an initial stable climatic period between ~ 12.9 and 12.2 ka associated with a weakened Atlantic Meridional Overturning Circulation (AMOC) and a second phase characterized by variable conditions until 11.7 ka as the AMOC recovered. Decades of investigations into the climate of western North America during the YD have failed to identify this stepped phenomenon. Here we present hydroclimate data from paleospring deposits in Death Valley National Park (California, USA) that demonstrate unequivocal evidence of two-stage partitioning within the YD event. High groundwater levels supported persistent and long-lived spring ecosystems between ~ 13.0 and 12.2 ka, which were immediately replaced by alternating wet and dry environments until ~ 11.8 ka. These results establish the mid-YD climate transition extended into western North America at approximately the same time it was recorded by hydrologic systems elsewhere in the Northern Hemisphere and show that even short-lived changes in the AMOC can have profound consequences for ecosystems worldwide.

","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-022-11377-4","usgsCitation":"Pigati, J.S., and Springer, K.B., 2022, Hydroclimate response of spring ecosystems to a two-stage Younger Dryas event in western North America: Scientific Reports, v. 12, 7373, 7 p., https://doi.org/10.1038/s41598-022-11377-4.","productDescription":"7373, 7 p.","ipdsId":"IP-122733","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":447910,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-022-11377-4","text":"Publisher Index Page"},{"id":435857,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U5XSRY","text":"USGS data release","linkHelpText":"Data release for Hydroclimate response of spring ecosystems to a two-stage Younger Dryas event in western North America"},{"id":400284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Death Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.070068359375,\n 36.217687122250574\n ],\n [\n -116.66931152343749,\n 36.217687122250574\n ],\n [\n -116.66931152343749,\n 37.4356124041315\n ],\n [\n -118.070068359375,\n 37.4356124041315\n ],\n [\n -118.070068359375,\n 36.217687122250574\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2022-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":842301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":842302,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70246533,"text":"70246533 - 2022 - Accounting for residual heterogeneity in double-observer sightability models decreases bias in burro abundance estimates","interactions":[],"lastModifiedDate":"2023-07-07T12:07:54.511452","indexId":"70246533","displayToPublicDate":"2022-05-05T06:54:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for residual heterogeneity in double-observer sightability models decreases bias in burro abundance estimates","docAbstract":"

Feral burros (Equus asinus) and horses (E. ferus caballus) inhabiting public land in the western United States are intended to be managed at population levels established to promote a thriving, natural ecological balance. Double-observer sightability (MDS) models, which use detection records from multiple observers and sighting covariates, perform well for estimating feral horse abundances, but their effectiveness for use in burro populations is less understood. These MDS models help minimize detection bias, yet bias can be further reduced with models that account for unmodeled variation, or residual heterogeneity, in detection probability. In populations containing radio-marked individuals, residual heterogeneity can be estimated with MDS models by including a covariate that corresponds to the marked status of a group (MH models). Another approach is to use information from detections missed by both observers to account for the characteristics that make groups more or less likely to be detected, or recaptured, by the second observer (MR models). We used aerial survey data from 3 burro populations (Sinbad Herd Management Area, UT [2016–2018], Lake Pleasant Herd Management Area, AZ [2017], and Fort Irwin National Training Center, CA [2016–2017]) to develop MDS models applicable for feral burros in the southwestern United States. Our objectives were to quantify precision and bias of standard MDS surveys for feral burros and to examine which model type for incorporating residual heterogeneity (MH or MR) would result in the least-biased estimates of burro populations relative to the minimum number known alive (MNKA) within the Sinbad Herd Management Area. Standard MDS model estimates achieved a mean coefficient of variation of 0.08, while underestimating MNKA by an average of 27.1%. Accounting for residual heterogeneity through recapture probability in MR models resulted in estimates closer to MNKA than MH models (9.5% vs. 16.5% less than MNKA). Our results indicate that MDS models can achieve precise enough estimates to monitor feral burro populations, but they routinely produce negatively biased estimates. We encourage the use of radio-collars to reduce bias in future burro surveys by accounting for residual heterogeneity through MR models.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22239","usgsCitation":"Hennig, J.D., Schoenecker, K., Cain, J.W., Roemer, G., and Laake, J.L., 2022, Accounting for residual heterogeneity in double-observer sightability models decreases bias in burro abundance estimates: Journal of Wildlife Management, v. 86, no. 5, e22239, 17 p., https://doi.org/10.1002/jwmg.22239.","productDescription":"e22239, 17 p.","ipdsId":"IP-132644","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":447914,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22239","text":"Publisher Index Page"},{"id":435858,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OAEATC","text":"USGS data release","linkHelpText":"Detections of burros from helicopter aerial surveys in the southwestern US, 2016-2018"},{"id":418742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hennig, Jacob Daniel 0000-0001-6450-6906","orcid":"https://orcid.org/0000-0001-6450-6906","contributorId":264526,"corporation":false,"usgs":true,"family":"Hennig","given":"Jacob","email":"","middleInitial":"Daniel","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":877076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":877077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":877078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roemer, Gary W.","contributorId":276331,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary W.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":877079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laake, Jeffrey L.","contributorId":83851,"corporation":false,"usgs":false,"family":"Laake","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":877080,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70231182,"text":"tm4D3 - 2022 - U.S. Geological Survey Hydrologic Toolbox — A graphical and mapping interface for analysis of hydrologic data","interactions":[],"lastModifiedDate":"2022-05-05T13:50:19.759656","indexId":"tm4D3","displayToPublicDate":"2022-05-04T13:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-D3","displayTitle":"U.S. Geological Survey Hydrologic Toolbox — A Graphical and Mapping Interface for Analysis of Hydrologic Data","title":"U.S. Geological Survey Hydrologic Toolbox — A graphical and mapping interface for analysis of hydrologic data","docAbstract":"

The Hydrologic Toolbox is a Windows-based desktop software program that provides a graphical and mapping interface for analysis of hydrologic time-series data with a set of widely used and standardized computational methods. The software combines the analytical and statistical functionality provided in the U.S. Geological Survey Groundwater and Surface-Water Toolboxes and provides several enhancements to these programs. The main analytical methods are the computation of hydrologic-frequency statistics such as the 7-day minimum flow that occurs on average only once every 10 years (7Q10); the computation of design flows, including biologically based flows; the computation of flow-duration curves and duration hydrographs; eight computer-programming methods for hydrograph separation of a streamflow time series, including the Base-Flow Index (BFI), HYSEP, PART, and SWAT Bflow methods and Eckhardt’s two-parameter digital-filtering method; and the RORA recession-curve displacement method and associated RECESS program to estimate groundwater-recharge values from streamflow data. Several of the statistical methods provided in the Hydrologic Toolbox are used primarily for computation of critical low-flow statistics. The Hydrologic Toolbox also facilitates retrieval of streamflow and groundwater-level time-series data from the U.S. Geological Survey National Water Information System and outputs text reports that describe their analyses.

The Hydrologic Toolbox was developed by use of the DotSpatial geographic information system (GIS) programming library, which is part of the MapWindow project. DotSpatial is a nonproprietary, open-source program written for the .NET framework that includes a spatial data viewer and GIS capabilities. Advantages of the DotSpatial system include its pure .NET implementation for both the user interface and the GIS mapping engine, and thus the DotSpatial system simplifies software deployment and installation. In addition to combining the functionality of the separate Groundwater and Surface-Water Toolboxes, the Hydrologic Toolbox also organizes the functionality by theme (Groundwater Tools, Surface-Water Tools, and general Time-Series Tools).

This report provides a description of how to build a Hydrologic Toolbox project and to download and manage hydrologic time-series data. It includes an overview of the analytical and statistical capabilities of the Hydrologic Toolbox and highlights the primary differences between the Hydrologic Toolbox and the Groundwater and Surface-Water Toolboxes. The report supplements information available in an extensive online Help manual and is intended to provide a set of instructions that will allow users to quickly develop skills to use the mapping, data-retrieval, and computational tools of the program.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Book 4, Hydrologic Analysis and Interpretation","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4D3","programNote":"Water Availability and Use Science Program","usgsCitation":"Barlow, P.M., McHugh, A.R., Kiang, J.E., Zhai, T., Hummel, P., Duda, P., and Hinz, S., 2022, U.S. Geological Survey Hydrologic Toolbox — A graphical and mapping interface for analysis of hydrologic data: U.S. Geological Survey Techniques and Methods, book 4, chap. D3, 23 p., https://doi.org/10.3133/tm4D3.","productDescription":"Report: vi, 23 p.; Software release","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-130481","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":400024,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/04/d03/tm4d3.pdf","text":"Report","size":"4.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 4-D3"},{"id":400023,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/04/d03/coverthb.jpg"},{"id":400027,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9DBLL43","text":"USGS software release","linkHelpText":"- U.S. Geological Survey Hydrologic Toolbox software archive"}],"contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-05-04","noUsgsAuthors":false,"publicationDate":"2022-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":841871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Amy R. 0000-0002-7745-9886","orcid":"https://orcid.org/0000-0002-7745-9886","contributorId":205491,"corporation":false,"usgs":true,"family":"McHugh","given":"Amy R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":841873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhai, Tong","contributorId":291242,"corporation":false,"usgs":false,"family":"Zhai","given":"Tong","affiliations":[{"id":36536,"text":"RESPEC","active":true,"usgs":false}],"preferred":false,"id":841874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Paul","contributorId":291243,"corporation":false,"usgs":false,"family":"Hummel","given":"Paul","affiliations":[{"id":36536,"text":"RESPEC","active":true,"usgs":false}],"preferred":false,"id":841875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duda, Paul","contributorId":291244,"corporation":false,"usgs":false,"family":"Duda","given":"Paul","email":"","affiliations":[{"id":36536,"text":"RESPEC","active":true,"usgs":false}],"preferred":false,"id":841876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hinz, Scott","contributorId":291245,"corporation":false,"usgs":false,"family":"Hinz","given":"Scott","email":"","affiliations":[{"id":18005,"text":"LimnoTech","active":true,"usgs":false}],"preferred":false,"id":841877,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70231263,"text":"fs20223024 - 2022 - Hawaii and Landsat","interactions":[],"lastModifiedDate":"2022-09-27T12:12:48.835499","indexId":"fs20223024","displayToPublicDate":"2022-05-04T11:10:31","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3024","displayTitle":"Hawaii and Landsat","title":"Hawaii and Landsat","docAbstract":"

Hawaii stands apart from the rest of the United States, literally and figuratively. The nearest of the eight islands that make up the Hawaiian archipelago is 2,000 miles from the U.S. mainland. Like every bit of land mass within the State, it emerged from the Pacific Ocean after thousands of years of undersea volcanic activity. Kona International Airport, on the “Big Island” of Hawai‘i, was built atop 220-year-old lava flows from the Hualālai volcano.

The volcanic soils and tropical vegetation that stretch across Hawaii’s postcard-perfect peaks and valleys, as well as the trade winds that blow precipitation northeast across the islands and the warm Kona winds that move in from the south, are among the factors that make the study of the State’s landscapes distinct from the rest of the Nation.

Six active volcanoes continue to alter the land surface. Some of them, like the constantly erupting Kīlauea or Mauna Loa, the world’s largest active volcano, can threaten human life and property. Man-made changes to the islands, such as the long-term agricultural production of sugar cane or pineapple, along with the introduction of non-native species, have also affected the health of the State’s ecosystems.

Landsat satellites, with 50 years of repeat Earth observations and decades of data from infrared and thermal instruments capable of tracking lava flows, can offer unique opportunities for the study of Hawaii’s ever-changing landscapes. Here are a few examples of how Landsat benefits the State.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223024","usgsCitation":"U.S. Geological Survey, 2022, Hawaii and Landsat: U.S. Geological Survey Fact Sheet 2022–3024, 2 p., https://doi.org/10.3133/fs20223024.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-140071","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400152,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223024/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":400123,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3024/images"},{"id":400121,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3024/fs20223024.pdf","text":"Report","size":"3.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3024"},{"id":400120,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3024/coverthb.jpg"},{"id":400122,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3024/fs20223024.XML"}],"country":"United States","state":"Hawaii","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-155.778234,20.245743],[-155.772734,20.245409],[-155.746893,20.232325],[-155.737004,20.222773],[-155.735822,20.212417],[-155.732704,20.205392],[-155.653966,20.16736],[-155.630382,20.146916],[-155.624565,20.145911],[-155.607797,20.137987],[-155.600909,20.126573],[-155.598033,20.124539],[-155.590923,20.122497],[-155.58168,20.123617],[-155.568368,20.130545],[-155.558933,20.13157],[-155.523661,20.120028],[-155.516795,20.11523],[-155.502561,20.114155],[-155.468211,20.104296],[-155.443957,20.095318],[-155.405459,20.078772],[-155.4024,20.075541],[-155.387578,20.067119],[-155.33021,20.038517],[-155.29548,20.024438],[-155.282629,20.021969],[-155.270316,20.014525],[-155.240933,19.990173],[-155.204486,19.969438],[-155.194593,19.958368],[-155.179939,19.949372],[-155.149215,19.922872],[-155.144394,19.920523],[-155.131235,19.906801],[-155.124618,19.897288],[-155.12175,19.886099],[-155.107541,19.872467],[-155.098716,19.867811],[-155.095032,19.867882],[-155.086341,19.855399],[-155.084357,19.849736],[-155.085674,19.838584],[-155.088979,19.826656],[-155.094414,19.81491],[-155.09207,19.799409],[-155.091216,19.776368],[-155.093517,19.771832],[-155.093387,19.737751],[-155.087118,19.728013],[-155.079426,19.726193],[-155.063972,19.728917],[-155.045382,19.739824],[-155.006423,19.739286],[-154.997278,19.72858],[-154.987168,19.708524],[-154.981102,19.690687],[-154.984718,19.672161],[-154.983778,19.641647],[-154.974342,19.633201],[-154.963933,19.627605],[-154.950359,19.626461],[-154.947874,19.62425],[-154.947718,19.621947],[-154.951014,19.613614],[-154.947106,19.604856],[-154.93394,19.597505],[-154.928205,19.592702],[-154.924422,19.586553],[-154.903542,19.570622],[-154.875,19.556797],[-154.852618,19.549172],[-154.837384,19.538354],[-154.826732,19.537626],[-154.814417,19.53009],[-154.809561,19.522377],[-154.809379,19.519086],[-154.822968,19.48129],[-154.838545,19.463642],[-154.86854,19.438126],[-154.887817,19.426425],[-154.928772,19.397646],[-154.944185,19.381852],[-154.964619,19.365646],[-154.980861,19.349291],[-155.020537,19.331317],[-155.061729,19.316636],[-155.113272,19.290613],[-155.1337,19.276099],[-155.159635,19.268375],[-155.172413,19.26906],[-155.187427,19.266156],[-155.19626,19.261295],[-155.205892,19.260907],[-155.243961,19.271313],[-155.264619,19.274213],[-155.296761,19.266289],[-155.303808,19.261835],[-155.31337,19.250698],[-155.341268,19.234039],[-155.349148,19.217756],[-155.360631,19.20893],[-155.378638,19.202435],[-155.390701,19.201171],[-155.417369,19.187858],[-155.427093,19.179546],[-155.432519,19.170623],[-155.453516,19.151952],[-155.465663,19.146964],[-155.505281,19.137908],[-155.51474,19.132501],[-155.51214,19.128174],[-155.512137,19.124296],[-155.519652,19.117025],[-155.526136,19.115889],[-155.528902,19.11371],[-155.544806,19.091059],[-155.551129,19.08878],[-155.557817,19.08213],[-155.555326,19.069377],[-155.555177,19.053932],[-155.557371,19.046565],[-155.566446,19.032531],[-155.576599,19.027412],[-155.581903,19.02224],[-155.596032,18.998833],[-155.596521,18.980654],[-155.601866,18.971572],[-155.613966,18.970399],[-155.625256,18.961951],[-155.625,18.959934],[-155.638054,18.941723],[-155.658486,18.924835],[-155.672005,18.917466],[-155.681825,18.918694],[-155.687716,18.923358],[-155.690171,18.932195],[-155.693117,18.940542],[-155.726043,18.969437],[-155.763598,18.981837],[-155.806109,19.013967],[-155.853943,19.023762],[-155.88155,19.036644],[-155.884077,19.039266],[-155.886278,19.05576],[-155.903693,19.080777],[-155.908355,19.081138],[-155.921389,19.121183],[-155.917292,19.155963],[-155.903339,19.217792],[-155.90491,19.230147],[-155.902565,19.258427],[-155.895435,19.274639],[-155.890842,19.298905],[-155.887356,19.337101],[-155.888701,19.348031],[-155.898792,19.377984],[-155.913849,19.401107],[-155.909087,19.415455],[-155.921707,19.43055],[-155.924269,19.438794],[-155.925166,19.468081],[-155.922609,19.478611],[-155.924124,19.481406],[-155.930523,19.484921],[-155.935641,19.485628],[-155.936403,19.481905],[-155.939145,19.481577],[-155.95149,19.486649],[-155.952897,19.488805],[-155.953663,19.510003],[-155.960457,19.546612],[-155.962264,19.551779],[-155.965211,19.554745],[-155.96935,19.555963],[-155.970969,19.586328],[-155.978206,19.608159],[-155.997728,19.642816],[-156.028982,19.650098],[-156.032928,19.653905],[-156.034994,19.65936],[-156.033326,19.66923],[-156.027427,19.672154],[-156.029281,19.678908],[-156.036079,19.690252],[-156.04796,19.698938],[-156.051652,19.703649],[-156.052485,19.718667],[-156.064364,19.730766],[-156.05722,19.742536],[-156.052315,19.756836],[-156.049651,19.780452],[-156.021732,19.8022],[-156.006267,19.81758],[-155.982821,19.845651],[-155.976651,19.85053],[-155.964817,19.855183],[-155.949251,19.857034],[-155.945297,19.853443],[-155.940311,19.852305],[-155.925843,19.858928],[-155.926938,19.870221],[-155.92549,19.875],[-155.915662,19.887126],[-155.901987,19.912081],[-155.894099,19.923135],[-155.894474,19.926927],[-155.892533,19.932162],[-155.866919,19.954172],[-155.856588,19.968885],[-155.840708,19.976952],[-155.838692,19.975527],[-155.835312,19.976078],[-155.831948,19.982775],[-155.828965,19.995542],[-155.825473,20.025944],[-155.828182,20.035424],[-155.850385,20.062506],[-155.866931,20.078652],[-155.88419,20.10675],[-155.899149,20.145728],[-155.906035,20.205157],[-155.901452,20.235787],[-155.890663,20.25524],[-155.882631,20.263026],[-155.873921,20.267744],[-155.853293,20.271548],[-155.811459,20.26032],[-155.783242,20.246395],[-155.778234,20.245743]]],[[[-157.789581,21.438396],[-157.789734,21.437679],[-157.789276,21.435833],[-157.790543,21.434313],[-157.791718,21.434881],[-157.793045,21.43391],[-157.793167,21.43574],[-157.791565,21.43651],[-157.791779,21.437752],[-157.793289,21.437658],[-157.791779,21.438435],[-157.791092,21.438442],[-157.790741,21.43874],[-157.789581,21.438396]]],[[[-160.125,21.95909],[-160.122262,21.962881],[-160.112746,21.995245],[-160.09645,22.001489],[-160.072123,22.003334],[-160.058543,21.99638],[-160.051992,21.983681],[-160.052729,21.980321],[-160.056336,21.977939],[-160.060549,21.976729],[-160.063349,21.978354],[-160.065811,21.976562],[-160.078393,21.955153],[-160.085787,21.927295],[-160.080012,21.910808],[-160.079065,21.89608],[-160.098897,21.884711],[-160.124283,21.876789],[-160.147609,21.872814],[-160.16162,21.864746],[-160.174796,21.846923],[-160.189782,21.82245],[-160.205211,21.789053],[-160.200427,21.786479],[-160.205851,21.779518],[-160.218044,21.783755],[-160.23478,21.795418],[-160.24961,21.815145],[-160.244943,21.848943],[-160.231028,21.886263],[-160.228965,21.889117],[-160.21383,21.899193],[-160.205528,21.907507],[-160.202716,21.912422],[-160.190158,21.923592],[-160.167471,21.932863],[-160.13705,21.948632],[-160.127302,21.955508],[-160.125,21.95909]]],[[[-159.431707,22.220015],[-159.40732,22.230555],[-159.388119,22.223252],[-159.385977,22.220009],[-159.367563,22.214906],[-159.359842,22.214831],[-159.357227,22.217744],[-159.353795,22.217669],[-159.339964,22.208519],[-159.315613,22.186817],[-159.308855,22.155555],[-159.297808,22.149748],[-159.295875,22.144547],[-159.295271,22.13039],[-159.297143,22.113815],[-159.317451,22.080944],[-159.321667,22.063411],[-159.324775,22.05867],[-159.333267,22.054639],[-159.337996,22.046575],[-159.341401,22.028978],[-159.333224,21.973005],[-159.333109,21.964176],[-159.334714,21.961099],[-159.350828,21.950817],[-159.356613,21.939546],[-159.382349,21.924479],[-159.408284,21.897781],[-159.425862,21.884527],[-159.446599,21.871647],[-159.471962,21.88292],[-159.490914,21.888898],[-159.517973,21.890996],[-159.555415,21.891355],[-159.574991,21.896585],[-159.577784,21.900486],[-159.584272,21.899038],[-159.610241,21.898356],[-159.637849,21.917166],[-159.648132,21.93297],[-159.671872,21.957038],[-159.681493,21.960054],[-159.705255,21.963427],[-159.72014,21.970789],[-159.758218,21.980694],[-159.765735,21.986593],[-159.788139,22.018411],[-159.790932,22.031177],[-159.786543,22.06369],[-159.780096,22.072567],[-159.748159,22.100388],[-159.741223,22.115666],[-159.733457,22.142756],[-159.726043,22.152171],[-159.699978,22.165252],[-159.66984,22.170782],[-159.608794,22.207878],[-159.591596,22.219456],[-159.583965,22.22668],[-159.559643,22.229185],[-159.554166,22.228212],[-159.548594,22.226263],[-159.54115,22.216764],[-159.534594,22.219403],[-159.523769,22.217602],[-159.51941,22.215646],[-159.518348,22.211182],[-159.515574,22.208008],[-159.507811,22.205987],[-159.501055,22.211064],[-159.500821,22.225538],[-159.488558,22.23317],[-159.480158,22.232715],[-159.467007,22.226529],[-159.45619,22.228811],[-159.441809,22.226321],[-159.431707,22.220015]]],[[[-157.014553,21.185503],[-156.999108,21.182221],[-156.991318,21.18551],[-156.987768,21.18935],[-156.982343,21.207798],[-156.984464,21.210063],[-156.984032,21.212198],[-156.974002,21.218503],[-156.969064,21.217018],[-156.962847,21.212131],[-156.951654,21.191662],[-156.950808,21.182636],[-156.946159,21.175963],[-156.918248,21.168279],[-156.903466,21.16421],[-156.898174,21.16594],[-156.89613,21.169561],[-156.896537,21.172208],[-156.867944,21.16452],[-156.841592,21.167926],[-156.821944,21.174693],[-156.771495,21.180053],[-156.742231,21.176214],[-156.738341,21.17202],[-156.736648,21.16188],[-156.719386,21.163911],[-156.712696,21.161547],[-156.714158,21.152238],[-156.726033,21.13236],[-156.748932,21.1086],[-156.775995,21.089751],[-156.790815,21.081686],[-156.794136,21.075796],[-156.835351,21.06336],[-156.865795,21.057801],[-156.877137,21.0493],[-156.891946,21.051831],[-156.89517,21.055771],[-156.953719,21.067761],[-157.00295,21.083282],[-157.02617,21.089015],[-157.032045,21.091094],[-157.037667,21.097864],[-157.079696,21.105835],[-157.095373,21.10636],[-157.125,21.1026],[-157.143483,21.096632],[-157.254061,21.090601],[-157.298054,21.096917],[-157.313343,21.105755],[-157.299187,21.132488],[-157.299471,21.135972],[-157.293774,21.146127],[-157.284346,21.157755],[-157.276474,21.163175],[-157.274504,21.162762],[-157.259911,21.174875],[-157.254709,21.181376],[-157.251007,21.190952],[-157.25026,21.207739],[-157.256935,21.215665],[-157.261457,21.217661],[-157.263163,21.220873],[-157.26069,21.225684],[-157.257085,21.227268],[-157.241534,21.220969],[-157.226445,21.220185],[-157.212082,21.221848],[-157.202125,21.219298],[-157.192439,21.207644],[-157.185553,21.205602],[-157.157103,21.200706],[-157.148125,21.200745],[-157.144627,21.202555],[-157.128207,21.201488],[-157.113438,21.197375],[-157.097971,21.198012],[-157.064264,21.189076],[-157.053053,21.188754],[-157.047757,21.190739],[-157.039987,21.190909],[-157.014553,21.185503]]],[[[-156.544169,20.522802],[-156.550016,20.520273],[-156.559994,20.521892],[-156.586238,20.511711],[-156.603844,20.524372],[-156.631143,20.514943],[-156.642347,20.508285],[-156.647464,20.512017],[-156.668809,20.504738],[-156.682939,20.506775],[-156.703673,20.527237],[-156.702265,20.532451],[-156.696662,20.541646],[-156.6801,20.557021],[-156.651567,20.565574],[-156.614598,20.587109],[-156.610734,20.59377],[-156.576871,20.60657],[-156.56714,20.604895],[-156.553604,20.594729],[-156.543034,20.580115],[-156.542808,20.573674],[-156.548909,20.56859],[-156.556021,20.542657],[-156.553018,20.539382],[-156.540189,20.534741],[-156.539643,20.527644],[-156.544169,20.522802]]],[[[-156.612012,21.02477],[-156.612065,21.027273],[-156.606238,21.034371],[-156.592256,21.03288],[-156.580448,21.020172],[-156.562773,21.016167],[-156.549813,21.004939],[-156.546291,21.005082],[-156.528246,20.967757],[-156.518707,20.954662],[-156.512226,20.95128],[-156.510391,20.940358],[-156.507913,20.937886],[-156.49948,20.934577],[-156.495883,20.928005],[-156.493263,20.916011],[-156.481055,20.898199],[-156.474796,20.894546],[-156.422668,20.911631],[-156.386045,20.919563],[-156.374297,20.927616],[-156.370729,20.932669],[-156.352649,20.941414],[-156.345655,20.941596],[-156.342365,20.938737],[-156.332817,20.94645],[-156.324578,20.950184],[-156.307198,20.942739],[-156.286332,20.947701],[-156.275116,20.937361],[-156.263107,20.940888],[-156.242555,20.937838],[-156.230159,20.931936],[-156.230089,20.917864],[-156.226757,20.916677],[-156.222062,20.918309],[-156.217953,20.916573],[-156.216341,20.907035],[-156.173103,20.876926],[-156.170458,20.874605],[-156.166746,20.865646],[-156.132669,20.861369],[-156.129381,20.847513],[-156.115735,20.827301],[-156.100123,20.828502],[-156.090291,20.831872],[-156.059788,20.81054],[-156.033287,20.808246],[-156.003532,20.795545],[-156.002947,20.789418],[-155.987944,20.776552],[-155.984587,20.767496],[-155.986851,20.758577],[-155.985413,20.744245],[-155.987216,20.722717],[-155.991534,20.713654],[-156.00187,20.698064],[-156.01415,20.685681],[-156.020044,20.686857],[-156.030702,20.682452],[-156.040341,20.672719],[-156.043786,20.664902],[-156.053385,20.65432],[-156.059753,20.652044],[-156.081472,20.654387],[-156.089365,20.648519],[-156.120985,20.633685],[-156.129898,20.627523],[-156.142665,20.623605],[-156.144588,20.624032],[-156.148085,20.629067],[-156.156772,20.629639],[-156.169732,20.627358],[-156.173393,20.6241],[-156.184556,20.629719],[-156.192938,20.631769],[-156.210258,20.628518],[-156.225338,20.62294],[-156.236145,20.61595],[-156.265921,20.601629],[-156.284391,20.596488],[-156.288037,20.59203],[-156.293454,20.588783],[-156.302692,20.586199],[-156.322944,20.588273],[-156.351716,20.58697],[-156.359634,20.581977],[-156.370725,20.57876],[-156.377633,20.578427],[-156.415313,20.586099],[-156.417523,20.589728],[-156.415746,20.594044],[-156.417799,20.598682],[-156.423141,20.602079],[-156.427708,20.598873],[-156.431872,20.598143],[-156.438385,20.601337],[-156.444242,20.607941],[-156.442884,20.613842],[-156.450651,20.642212],[-156.445894,20.64927],[-156.443673,20.656018],[-156.448656,20.704739],[-156.451038,20.725469],[-156.452895,20.731287],[-156.458438,20.736676],[-156.462242,20.753952],[-156.462058,20.772571],[-156.464043,20.781667],[-156.473562,20.790756],[-156.489496,20.798339],[-156.501688,20.799933],[-156.506026,20.799463],[-156.515994,20.794234],[-156.525215,20.780821],[-156.537752,20.778408],[-156.631794,20.82124],[-156.678634,20.870541],[-156.688969,20.888673],[-156.687804,20.89072],[-156.688132,20.906325],[-156.691334,20.91244],[-156.697418,20.916368],[-156.69989,20.920629],[-156.69411,20.952708],[-156.680905,20.980262],[-156.665514,21.007054],[-156.652419,21.008994],[-156.645966,21.014416],[-156.642592,21.019936],[-156.644167,21.022312],[-156.642809,21.027583],[-156.619581,21.027793],[-156.612012,21.02477]]],[[[-157.010001,20.929757],[-156.989813,20.932127],[-156.971604,20.926254],[-156.937529,20.925274],[-156.91845,20.922546],[-156.897169,20.915395],[-156.837047,20.863575],[-156.825237,20.850731],[-156.809576,20.826036],[-156.808469,20.820396],[-156.809463,20.809169],[-156.817427,20.794606],[-156.838321,20.764575],[-156.846413,20.760201],[-156.851481,20.760069],[-156.869753,20.754701],[-156.890295,20.744855],[-156.909081,20.739533],[-156.949009,20.738997],[-156.96789,20.73508],[-156.984747,20.756677],[-156.994001,20.786671],[-156.988933,20.815496],[-156.991834,20.826603],[-157.006243,20.849603],[-157.010911,20.854476],[-157.054552,20.877219],[-157.059663,20.884634],[-157.061128,20.890635],[-157.062511,20.904385],[-157.05913,20.913407],[-157.035789,20.927078],[-157.025626,20.929528],[-157.010001,20.929757]]],[[[-158.044485,21.306011],[-158.0883,21.2988],[-158.1033,21.2979],[-158.1127,21.3019],[-158.1211,21.3169],[-158.1225,21.3224],[-158.111949,21.326622],[-158.114196,21.331123],[-158.119427,21.334594],[-158.125459,21.330264],[-158.13324,21.359207],[-158.1403,21.3738],[-158.149719,21.385208],[-158.161743,21.396282],[-158.1792,21.4043],[-158.181274,21.409626],[-158.181,21.420868],[-158.182648,21.430073],[-158.192352,21.44804],[-158.205383,21.459793],[-158.219446,21.46978],[-158.233,21.4876],[-158.231171,21.523857],[-158.23175,21.533035],[-158.234314,21.540058],[-158.250671,21.557373],[-158.27951,21.575794],[-158.277679,21.578789],[-158.254425,21.582684],[-158.190704,21.585892],[-158.17,21.5823],[-158.12561,21.586739],[-158.10672,21.596577],[-158.106689,21.603024],[-158.1095,21.6057],[-158.108185,21.607487],[-158.079895,21.628101],[-158.0668,21.6437],[-158.066711,21.65234],[-158.0639,21.6584],[-158.0372,21.6843],[-158.018127,21.699955],[-157.9923,21.708],[-157.98703,21.712494],[-157.968628,21.712704],[-157.947174,21.689568],[-157.939,21.669],[-157.9301,21.6552],[-157.924591,21.651183],[-157.9228,21.6361],[-157.9238,21.6293],[-157.910797,21.611183],[-157.900574,21.605885],[-157.87735,21.575277],[-157.878601,21.560181],[-157.872528,21.557568],[-157.8669,21.5637],[-157.85614,21.560661],[-157.85257,21.557514],[-157.836945,21.529945],[-157.837372,21.512085],[-157.849579,21.509598],[-157.852625,21.499971],[-157.84549,21.466747],[-157.84099,21.459483],[-157.82489,21.455379],[-157.8163,21.4502],[-157.8139,21.4403],[-157.8059,21.4301],[-157.786513,21.415633],[-157.779846,21.417309],[-157.774455,21.421352],[-157.772209,21.431236],[-157.774905,21.453698],[-157.772209,21.457741],[-157.764572,21.461335],[-157.754239,21.461335],[-157.737617,21.459089],[-157.731777,21.455944],[-157.731328,21.444713],[-157.73582,21.438424],[-157.740762,21.424048],[-157.741211,21.414614],[-157.7386,21.4043],[-157.730191,21.401871],[-157.728221,21.402104],[-157.726421,21.402845],[-157.724324,21.403311],[-157.723794,21.40329],[-157.723286,21.403227],[-157.722735,21.403121],[-157.722544,21.403036],[-157.721845,21.401596],[-157.721083,21.399541],[-157.7189,21.3961],[-157.7089,21.3833],[-157.7087,21.3793],[-157.7126,21.3689],[-157.7106,21.3585],[-157.7088,21.3534],[-157.6971,21.3364],[-157.6938,21.3329],[-157.6619,21.3131],[-157.6518,21.3139],[-157.652629,21.308709],[-157.6537,21.302],[-157.6946,21.2739],[-157.6944,21.2665],[-157.7001,21.264],[-157.7097,21.2621],[-157.7139,21.2638],[-157.7142,21.2665],[-157.7114,21.272],[-157.7122,21.2814],[-157.7143,21.2845],[-157.7213,21.2869],[-157.7572,21.278],[-157.765,21.2789],[-157.7782,21.2735],[-157.7931,21.2604],[-157.8096,21.2577],[-157.8211,21.2606],[-157.8241,21.2646],[-157.8253,21.2714],[-157.8319,21.2795],[-157.8457,21.29],[-157.89,21.3065],[-157.894518,21.319632],[-157.898969,21.327391],[-157.90482,21.329172],[-157.918939,21.318615],[-157.917921,21.313781],[-157.913469,21.310983],[-157.910925,21.305768],[-157.952263,21.306531],[-157.950736,21.312509],[-157.951881,21.318742],[-157.967971,21.327986],[-157.973334,21.327426],[-157.989424,21.317984],[-158.0245,21.3093],[-158.044485,21.306011]]]]},\"properties\":{\"name\":\"Hawaii\",\"nation\":\"USA \"}}]}","contact":"

Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-05-04","noUsgsAuthors":false,"publicationDate":"2022-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":127955,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":842157,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70231257,"text":"70231257 - 2022 - Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics","interactions":[],"lastModifiedDate":"2022-05-04T13:25:52.650064","indexId":"70231257","displayToPublicDate":"2022-05-04T08:09:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics","docAbstract":"

Bedrock property quantification is critical for predicting the hydrological response of watersheds to climate disturbances. Estimating bedrock hydraulic properties over watershed scales is inherently difficult, particularly in fracture-dominated regions. Our analysis tests the covariability of above- and belowground features on a watershed scale, by linking borehole geophysical data, near-surface geophysics, and remote sensing data. We use machine learning to quantify the relationships between bedrock geophysical/hydrological properties and geomorphological/vegetation indices and show that machine learning relationships can estimate most of their covariability. Although we can predict the electrical resistivity variation across the watershed, regions of lower variability in the input parameters are shown to provide better estimates, indicating a limitation of commonly applied geomorphological models. Our results emphasize that such an integrated approach can be used to derive detailed bedrock characteristics, allowing for identification of small-scale variations across an entire watershed that may be critical to assess the impact of disturbances on hydrological systems.

","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.abj2479","usgsCitation":"Uhlemann, S., Dafflon, B., Wainwright, H.M., Williams, K.H., Minsley, B.J., Zamudio, K.D., Carr, B., Falco, N., Ulrich, C., and Hubbard, S.S., 2022, Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics: Science Advances, v. 8, no. 12, 15 p., https://doi.org/10.1126/sciadv.abj2479.","productDescription":"15 p.","ipdsId":"IP-134172","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":447933,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1126/sciadv.abj2479","text":"External Repository"},{"id":400125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"East River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.02726364135741,\n 38.86671143315032\n ],\n [\n -106.9134521484375,\n 38.86671143315032\n ],\n [\n -106.9134521484375,\n 38.97595868249733\n ],\n [\n -107.02726364135741,\n 38.97595868249733\n ],\n [\n -107.02726364135741,\n 38.86671143315032\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Uhlemann, Sebastian","contributorId":291360,"corporation":false,"usgs":false,"family":"Uhlemann","given":"Sebastian","email":"","affiliations":[{"id":36254,"text":"LBNL","active":true,"usgs":false}],"preferred":false,"id":842137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dafflon, Baptiste","contributorId":245441,"corporation":false,"usgs":false,"family":"Dafflon","given":"Baptiste","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":842138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wainwright, Haruko Murakami","contributorId":291362,"corporation":false,"usgs":false,"family":"Wainwright","given":"Haruko","email":"","middleInitial":"Murakami","affiliations":[{"id":36254,"text":"LBNL","active":true,"usgs":false}],"preferred":false,"id":842139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Kenneth Hurst","contributorId":291364,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth","email":"","middleInitial":"Hurst","affiliations":[{"id":62696,"text":"LBNL, Rocky Mountain Biological Lab","active":true,"usgs":false}],"preferred":false,"id":842140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":842141,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zamudio, Katrina D. 0000-0003-0278-0154","orcid":"https://orcid.org/0000-0003-0278-0154","contributorId":203252,"corporation":false,"usgs":true,"family":"Zamudio","given":"Katrina","email":"","middleInitial":"D.","affiliations":[],"preferred":true,"id":842142,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carr, Bradley","contributorId":175482,"corporation":false,"usgs":false,"family":"Carr","given":"Bradley","email":"","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":842143,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Falco, Nicola","contributorId":245431,"corporation":false,"usgs":false,"family":"Falco","given":"Nicola","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":842144,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ulrich, Craig","contributorId":175248,"corporation":false,"usgs":false,"family":"Ulrich","given":"Craig","email":"","affiliations":[],"preferred":false,"id":842145,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hubbard, Susan S.","contributorId":175249,"corporation":false,"usgs":false,"family":"Hubbard","given":"Susan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":842146,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70255095,"text":"70255095 - 2022 - Management goals for conserving White Sturgeon in the Sacramento-San Joaquin River basin","interactions":[],"lastModifiedDate":"2024-06-12T23:41:55.201627","indexId":"70255095","displayToPublicDate":"2022-05-03T18:40:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Management goals for conserving White Sturgeon in the Sacramento-San Joaquin River basin","docAbstract":"

Management objectives for long-lived species are difficult to define because many taxa have delayed maturity and variable recruitment. White Sturgeon Acipenser transmontanus is an example of a species with a complex life history that complicates long-term status monitoring and establishment of management objectives. Historically, White Sturgeon in the Sacramento–San Joaquin River basin have been monitored by tracking the abundance of age-15 individuals as outlined by the Central Valley Project Improvement Act. However, infrequent recruitment complicates progress toward Central Valley Project Improvement Act management objectives because abundance of a single cohort fails to represent overall population trends. By using a Leslie population matrix, we demonstrate that the probability of reaching the Central Valley Project Improvement Act objective of 11,000 age-15 White Sturgeon is highly unlikely. We propose an alternative metric of 155,000 adults, which better represents overall population trends of White Sturgeon in the Sacramento–San Joaquin River basin, can be efficiently monitored, and can support both the goal of the Central Valley Project Improvement Act and management objectives.

","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-21-070","usgsCitation":"Ulaski, M., Blackburn, S., Jackson, Z., and Quist, M.C., 2022, Management goals for conserving White Sturgeon in the Sacramento-San Joaquin River basin: Journal of Fish and Wildlife Management, v. 13, no. 2, p. 334-343, https://doi.org/10.3996/JFWM-21-070.","productDescription":"10 p.","startPage":"334","endPage":"343","ipdsId":"IP-131268","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":447939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-070","text":"Publisher Index Page"},{"id":430058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Ulaski, Marta","contributorId":338595,"corporation":false,"usgs":false,"family":"Ulaski","given":"Marta","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blackburn, Shannon","contributorId":338596,"corporation":false,"usgs":false,"family":"Blackburn","given":"Shannon","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Zachary","contributorId":338597,"corporation":false,"usgs":false,"family":"Jackson","given":"Zachary","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903388,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70231181,"text":"fs20223027 - 2022 - Wyoming and Landsat","interactions":[],"lastModifiedDate":"2022-09-27T12:14:23.957794","indexId":"fs20223027","displayToPublicDate":"2022-05-03T09:59:16","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3027","displayTitle":"Wyoming and Landsat","title":"Wyoming and Landsat","docAbstract":"

Wyoming has the smallest population of any State—fewer than 600,000 people—but an abun­dance of wildlife. The largest number of pronghorn (Antilocapra americana), often called antelope, and the biggest public bison (Bison bison) herd in the United States live in Wyoming, which also hosts elk (Cervus elaphus), moose (Alces americanus), bighorn sheep (Ovis canadensis), black bears (Ursus americanus), and grizzly bears (U. arctos). The terrain of the Nation’s 10th largest State varies from the Black Hills to the Rocky Mountains, and from Great Plains grassland to Wyoming Basin desert sagebrush.

Natural resources attract millions of visitors annually, especially to the country’s first national park, Yellowstone, and the ski slopes in Grand Teton National Park and elsewhere. Natural resources account for much of the employment in the Cowboy State, from tourism and ranching to coal, natural gas, and oil mining.

To help monitor these natural resources, researchers and land managers have relied on USGS Landsat imagery and data. The scale of images from the first Landsat satellites helped geologists detect previously unknown uranium deposits in Wyoming, which is the leading State for uranium production. Today, land managers and researchers take advantage of Landsat and its 50-year archive to explore landscape change over time—and continue to make new discoveries.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223027","usgsCitation":"U.S. Geological Survey, 2022, Wyoming and Landsat: U.S. Geological Survey Fact Sheet 2022–3027, 2 p., https://doi.org/10.3133/fs20223027.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-138811","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400058,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223027/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":400038,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3027/images"},{"id":400037,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3027/fs20223027.XML"},{"id":400036,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3027/fs20223027.pdf","text":"Report","size":"5.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3027"},{"id":400035,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3027/coverthb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[-104.053107,42.499964],[-104.052776,42.25822],[-104.052793,42.249962],[-104.053125,42.249962],[-104.052761,42.170278],[-104.052547,42.166801],[-104.053001,42.137254],[-104.052738,42.133769],[-104.0526,42.124963],[-104.052954,42.089077],[-104.052967,42.075004],[-104.05288,42.021761],[-104.052729,42.016318],[-104.052704,42.001718],[-104.052699,41.998673],[-104.052761,41.994967],[-104.05283,41.9946],[-104.052856,41.975958],[-104.052734,41.973007],[-104.052991,41.914973],[-104.052931,41.906143],[-104.053026,41.885464],[-104.052774,41.733401],[-104.05283,41.697954],[-104.052913,41.64519],[-104.052945,41.638167],[-104.052975,41.622931],[-104.052735,41.613676],[-104.052859,41.592254],[-104.05254,41.564274],[-104.052531,41.552723],[-104.052584,41.55265],[-104.052692,41.541154],[-104.052686,41.539111],[-104.052476,41.522343],[-104.052478,41.515754],[-104.05234,41.417865],[-104.05216,41.407662],[-104.052287,41.393307],[-104.052288,41.393214],[-104.052687,41.330569],[-104.052324,41.321144],[-104.052476,41.320961],[-104.052568,41.316202],[-104.052453,41.278202],[-104.052574,41.278019],[-104.052666,41.275251],[-104.053514,41.157257],[-104.053142,41.114457],[-104.053083,41.104985],[-104.053025,41.090274],[-104.053177,41.089725],[-104.053097,41.018045],[-104.053158,41.016809],[-104.053249,41.001406],[-104.066961,41.001504],[-104.086068,41.001563],[-104.10459,41.001543],[-104.123586,41.001626],[-104.211473,41.001591],[-104.214191,41.001568],[-104.214692,41.001657],[-104.467672,41.001473],[-104.497058,41.001805],[-104.497149,41.001828],[-104.675999,41.000957],[-104.829504,40.99927],[-104.855273,40.998048],[-104.943371,40.998084],[-105.254779,40.99821],[-105.256527,40.998191],[-105.27686,40.998173],[-105.277138,40.998173],[-105.724804,40.99691],[-105.730421,40.996886],[-106.061181,40.996999],[-106.190554,40.997607],[-106.217573,40.997734],[-106.321165,40.999123],[-106.386356,41.001144],[-106.391852,41.001176],[-106.43095,41.001752],[-106.437419,41.001795],[-106.439563,41.001978],[-106.453859,41.002057],[-106.857773,41.002663],[-107.000606,41.003444],[-107.241194,41.002804],[-107.317794,41.002967],[-107.367443,41.003073],[-107.625624,41.002124],[-107.918421,41.002036],[-108.046539,41.002064],[-108.181227,41.000455],[-108.250649,41.000114],[-108.500659,41.000112],[-108.526667,40.999608],[-108.631108,41.000156],[-108.884138,41.000094],[-109.050076,41.000659],[-109.173682,41.000859],[-109.231985,41.002059],[-109.250735,41.001009],[-109.500694,40.999127],[-109.534926,40.998143],[-109.676421,40.998395],[-109.713877,40.998266],[-109.715409,40.998191],[-109.854302,40.997661],[-109.855299,40.997614],[-109.97553,40.997912],[-109.999838,40.99733],[-110.000708,40.997352],[-110.006495,40.997815],[-110.048476,40.997555]]]},\"properties\":{\"name\":\"Wyoming\",\"nation\":\"USA \"}}]}","contact":"

Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-05-03","noUsgsAuthors":false,"publicationDate":"2022-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128037,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":842071,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70231231,"text":"ofr20221032 - 2022 - Risk assessment for bull trout introduction into Sullivan Lake and Harvey Creek, northeastern Washington","interactions":[],"lastModifiedDate":"2022-05-04T13:59:56.131714","indexId":"ofr20221032","displayToPublicDate":"2022-05-03T08:23:53","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1032","displayTitle":"Risk Assessment for Bull Trout Introduction into Sullivan Lake and Harvey Creek, Northeastern Washington","title":"Risk assessment for bull trout introduction into Sullivan Lake and Harvey Creek, northeastern Washington","docAbstract":"

The Kalispel Tribe of Indians (KT), U. S. Fish and Wildlife Service, and Washington Department of Fish and Wildlife are engaged in conservation of bull trout (Salvelinus confluentus) in the Lake Pend Oreille (LPO) Core Area. The LPO is a complex habitat core area which falls within three states (Montana, Idaho, and Washington) and a tribal entity. As part of the conservation process, KT worked in cooperation with the U. S. Geological Survey (USGS) to complete a risk assessment for introduction of bull trout into Sullivan Lake/Harvey Creek, northeastern, Washington. The risk assessment was designed to evaluate potential risks to resident fish species, to bull trout introduced into Sullivan Lake, and to bull trout donor source populations. This risk assessment describes the potential risks associated with pathogens (introduction of pathogens and increased pathogen burden), genetics (such as risk to donor sources, straying and breeding with native bull trout, and introduction of bull-brook hybrids), and ecological interactions (such as predation and competition). Potential donor source populations were identified and evaluated using a qualitative approach based on expert opinion and a decision framework.

Literature reviews were completed for fish species composition and abundance in Sullivan Lake basin to assess potential ecological interactions and risks to these populations and to the introduced bull trout. The USGS assessed pathogen risks through two major questions: (1) whether introduced bull trout might bring pathogens into the Sullivan Lake basin that were not previously present and (2) whether the health of introduced bull trout could be adversely affected by pathogens already present in the basin. Assessment of genetic risks included demographic risks to donor source populations, potential for hybridization with native bull trout, and the risk of introducing bull-brook hybrids. Literature reviews were used in conjunction with discussions among regional biologists to identify potential donor source populations and their population attributes. A decision framework was developed by USGS in collaboration with KT biologists that identified desirable population attributes (life history behavior, abundance, population viability, feasibility of collection, and environmental match) associated with donor source populations and established ranking criteria. The population attribute information was used with the (1) decision framework, (2) established ranking criteria, and (3) expert opinion of regional biologists, to assign scores for overall ranking of donor source populations.

The LPO source population was the highest ranked and is considered a robust and stable population. The risk of introducing pathogens from LPO into Sullivan Lake via a bull trout introduction program seems low, and indirect pathogen burden risks to resident species can be mitigated using established pathogen surveillance methods. The likelihood that bull trout, introduced into Sullivan Lake, stray and spawn with native bull trout is low. Nearest-neighbor donor source populations, such as LPO, could minimize negative fitness impacts that might occur from straying and interbreeding of individuals that become entrained and help maintain natural patterns of genetic diversity in native populations. The ecological risk that a bull trout introduction presents to resident species seems to be low but with some uncertainty. Pygmy whitefish, a Washington State Sensitive species, is likely most vulnerable to extirpation with increased predation pressure with introduction of an additional piscivore into the ecosystem. The status of the pygmy whitefish in Sullivan Lake is unknown. The ecological risks most likely to reduce the viability of introduced bull trout are predation by burbot and an adequate forage base in Sullivan Lake. Prior fish surveys provided data on resident species abundance, provided an established baseline for effective monitoring, and identifying ecosystem changes post-bull trout introduction to inform future adaptive management decisions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221032","collaboration":"Prepared in cooperation with Kalispel Tribe of Indians","usgsCitation":"Hardiman, J.M., Breyta, R.B., and Ostberg, C.O., 2022, Risk assessment for bull trout introduction into Sullivan Lake and Harvey Creek, northeastern Washington: U.S. Geological Survey Open-File Report 2022–1032, 26 p., https://doi.org/10.3133/ofr20221032.","productDescription":"Report: vii, 26 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128540","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":400079,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1032/images"},{"id":400080,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1032/ofr20221032.XML"},{"id":400074,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1032/coverthb.jpg"},{"id":400075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1032/ofr20221032.pdf","text":"Report","size":"8.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1032"},{"id":400076,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XCQEZ1","text":"USGS data release","description":"USGS data release","linkHelpText":"Information tables associated with a risk assessment for bull trout introduction into Sullivan Lake, northeastern, Washington including population donor sources and resident species, April 2021"}],"country":"United States","state":"Washington","otherGeospatial":"Harvey Creek, Sullivan Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.49191284179688,\n 48.67736049788919\n ],\n [\n -117.03598022460938,\n 48.67736049788919\n ],\n [\n -117.03598022460938,\n 48.89632393659644\n ],\n [\n -117.49191284179688,\n 48.89632393659644\n ],\n [\n -117.49191284179688,\n 48.67736049788919\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2022-05-03","noUsgsAuthors":false,"publicationDate":"2022-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":842102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, Rachel B. 0000-0002-9106-1014","orcid":"https://orcid.org/0000-0002-9106-1014","contributorId":213372,"corporation":false,"usgs":true,"family":"Breyta","given":"Rachel","email":"","middleInitial":"B.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":842103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":842104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230645,"text":"sir20215112 - 2022 - Areas contributing recharge to priority wells in valley-fill aquifers in the Neversink River and Rondout Creek drainage basins, New York","interactions":[],"lastModifiedDate":"2026-04-02T19:45:28.223124","indexId":"sir20215112","displayToPublicDate":"2022-05-02T14:55:05","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5112","displayTitle":"Areas Contributing Recharge to Priority Wells in Valley-fill Aquifers in the Neversink River and Rondout Creek Drainage Basins, New York","title":"Areas contributing recharge to priority wells in valley-fill aquifers in the Neversink River and Rondout Creek drainage basins, New York","docAbstract":"

In southeastern New York, the villages of Ellenville, Wurtsboro, Woodridge, the hamlet of Mountain Dale, and surrounding communities in the Neversink River and Rondout Creek drainage basins rely on wells that pump groundwater from valley-fill glacial aquifers for public water supply. Glacial aquifers are vulnerable to contamination because they are highly permeable and have a shallow depth to water table. To protect the quality of these water resources, water managers need accurate information about the areas that contribute recharge to production wells that pump from these aquifers. The New York State Department of Environmental Conservation and the New York State Department of Health designated eight priority wells in this region for which water supply protection is of primary concern.

The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation and the New York State Department of Health, began an investigation in 2019 with the general objectives of (1) improving understanding of regional groundwater-flow system, (2) delineating areas contributing recharge to eight priority production wells, and (3) quantifying the uncertainty of these contributing areas in a probabilistic way that can be used to inform decision-making related to priority well source-water protection. To complete these objectives, a MODFLOW 6 groundwater model was created encompassing the eight priority wells and the surrounding flow system, which includes parts of the Neversink River and Rondout Creek Basins in Sullivan County and Ulster County, New York. The model was built using Python tools (such as flopy, modflow-setup, and sfrmaker) that facilitate transparent and repeatable model development using existing datasets. The model parameters were estimated with a stepwise approach using an iterative ensemble smoother implementation of the Parameter ESTimation software PEST++ (version 5.0.0). We evaluated initial “best guess” parameter bounds with a prior Monte Carlo analysis. Results of the first prior Monte Carlo analysis were used to make informed adjustments to model parameter bounds (typically resulting in expanded bounds), and a second prior Monte Carlo analysis was run to identify improved ranges for model parameters during history matching.

The history matching effort produced an ensemble of parameter values for the groundwater-flow model that spans the range of values within prior uncertainty bounds. The ensemble is informed by the historical observation data, within a reasonable range of uncertainty on those observations. This history-matched ensemble was used in a particle tracking Monte Carlo analysis to delineate the areas contributing recharge to priority wells. The groundwater-flow and particle tracking (MODPATH7) models were run once for each ensemble member. Deterministic contributing areas computed for each ensemble member were aggregated to produce maps showing the probability that a location contributes recharge to priority wells. Finally, the particle tracking Monte Carlo analysis was repeated for six pumping scenarios, representing a wide range of possible pumping levels, to incorporate uncertainty in future pumping rates related to population growth or other management decisions. Increasing pumping rates generally led to larger contributing recharge areas and larger areas of high probability that a location contributes recharge to priority wells. These maps show the overall uncertainty of the areas contributing recharge to priority wells in the study area and provide a tool for risk-based decision making for protection of well source water.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215112","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation and the New York State Department of Health","usgsCitation":"Corson-Dosch, N.T., Fienen, M.N., Finkelstein, J.S., Leaf, A.T., White, J.T., Woda, J., and Williams, J.H., 2022, Areas contributing recharge to priority wells in valley-fill aquifers in the Neversink River and Rondout Creek drainage basins, New York: U.S. Geological Survey Scientific Investigations Report 2021–5112, 50 p., https://doi.org/10.3133/sir20215112.","productDescription":"Report: ix, 50 p.; 2 Data Releases","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-125165","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":399109,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96R5K5R","text":"USGS data release","linkHelpText":"Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas"},{"id":399101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5112/coverthb.jpg"},{"id":399102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5112/sir20215112.pdf","text":"Report","size":"22.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5112"},{"id":399104,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5112/sir20215112.XML"},{"id":399105,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5112/images/"},{"id":399107,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://ny.water.usgs.gov/maps/neversink/","text":"Neversink-Rondout Source Water Mapper"},{"id":399982,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20215112/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2021-5112"},{"id":399106,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20225024","text":"Scientific Investigations Report 2022–5024","linkHelpText":"- Data Sources and Methods for Digital Mapping of Eight Valley-Fill Aquifer Systems in Upstate New York"},{"id":399108,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HWSOHP","text":"USGS data release","linkHelpText":"Groundwater model archive and workflow for Neversink/Rondout Basin, New York, source water delineation"},{"id":502119,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112974.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Neversink River and Rondout Creek Drainage Basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.8663330078125,\n 41.40153558289846\n ],\n [\n -74.1961669921875,\n 41.40153558289846\n ],\n [\n -74.1961669921875,\n 41.99216023337633\n ],\n [\n -74.8663330078125,\n 41.99216023337633\n ],\n [\n -74.8663330078125,\n 41.40153558289846\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-05-02","noUsgsAuthors":false,"publicationDate":"2022-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Corson-Dosch, Nicholas 0000-0002-6776-6241","orcid":"https://orcid.org/0000-0002-6776-6241","contributorId":202630,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Nicholas","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236 jfinkels@usgs.gov","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":140604,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason","email":"jfinkels@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woda, Joshua C. 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840992,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70230421,"text":"sir20215083 - 2022 - Areas contributing recharge to selected production wells in unconfined and confined glacial valley-fill aquifers in Chenango River Basin, New York","interactions":[],"lastModifiedDate":"2026-04-03T14:12:25.021685","indexId":"sir20215083","displayToPublicDate":"2022-05-02T14:55:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5083","displayTitle":"Areas Contributing Recharge to Selected Production Wells in Unconfined and Confined Glacial Valley-Fill Aquifers in Chenango River Basin, New York","title":"Areas contributing recharge to selected production wells in unconfined and confined glacial valley-fill aquifers in Chenango River Basin, New York","docAbstract":"

In the Chenango River Basin of central New York, unconfined and confined glacial valley-fill aquifers are an important source of drinking-water supplies. The risk of contaminating water withdrawn by wells that tap these aquifers might be reduced if the areas contributing recharge to the wells are delineated and these areas protected from land uses that might affect the water quality. The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation and the New York State Department of Health, began an investigation in 2019 to improve understanding of groundwater flow and delineate areas contributing recharge to 16 production wells clustered in three study areas in the basin as part of an effort to protect the source of water to these wells. Areas contributing recharge were delineated on the basis of numerical steady-state groundwater-flow models representing long-term average hydrologic conditions.

In the Cortland study area, four water suppliers operate 10 production wells that withdraw a total average rate of 2,480 gallons per minute from an unconfined aquifer consisting of well-sorted sand and gravel deposits. Simulated areas contributing recharge to these wells at their average pumping rates covered a total area of 6.93 square miles. Simulated areas contributing recharge extend upgradient from the wells to upland till deposits and to groundwater divides. Some simulated areas contributing recharge include isolated areas remote from the wells. Short simulated groundwater traveltimes from recharging locations to discharging wells indicated that the wells are vulnerable to contamination from land-surface activities; 50 percent of the traveltimes were 10 years or less. Land cover in some of the areas contributing recharge included a substantial amount of urban and agriculture land use.

The groundwater-flow model of the Cortland study area was calibrated to available hydrologic data by inverse modeling using nonlinear regression. The parameter variance-covariance matrix from model calibration was used to create parameter sets that reflect the uncertainty of the parameter estimates and the correlation among parameters to evaluate the uncertainty associated with the single, predicted contributing areas to the wells. This analysis led to contributing areas expressed as a probability distribution. Because of the effects of parameter uncertainty, the size of the probabilistic contributing areas was larger than the size of the single, predicted contributing area for the wells. Thus, some areas not in the single, predicted contributing area might actually be in the contributing area, including additional areas of urban and agriculture land use that have the potential to contaminate groundwater. Additional areas that might be in the contributing area included recharge originating near the pumping wells that have relatively short groundwater-flow paths and traveltimes.

In each of the Greene and Cincinnatus study areas, one water supplier operates three wells that are screened near the top of the bedrock surface in a confined aquifer consisting of poorly to well-sorted sand and gravel deposits. This confined aquifer is overlain by a lacustrine confining unit of very fine sand, silt, and clay, which in turn is overlain by a thin unconfined aquifer of sand and gravel. The groundwater-flow models for these two areas were manually calibrated because of the limited hydrologic data. Simulated areas contributing recharge to the Greene study area wells covered a total area of 0.35 square mile for the average pumping rate of 170 gallons per minute. The contributing areas extended southeastward of the wells to the groundwater divide in the till uplands. The contributing areas also included remote, isolated areas on the opposite side of the Chenango River from the wells primarily in the till uplands. For the Cincinnatus study area wells, which have a low average pumping rate (34 gallons per minute), the simulated contributing areas totaled 0.06 square mile and were on the same side of the river as the wells, but they are isolated areas remote from the wells primarily in the till-covered bedrock uplands. Land cover in these contributing areas for both study areas is primarily agriculture and forested, with the contributing areas to the Greene study area wells also including some urban land uses. Because the Greene and Cincinnatus study area wells are screened relatively deep and some flow paths to the wells partly travel through the confining unit, which impedes the connection with surface sources of recharge, overall groundwater traveltimes are greater than for wells in the Cortland study area. Fifty percent of Cortland study area wells, but only 9 and 44 percent of Greene and Cincinnatus study area wells, respectively, have groundwater traveltimes of 10 years or less.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215083","collaboration":"Prepared in cooperation with New York State Department of Environmental Conservation and New York State Department of Health","usgsCitation":"Friesz, P.J., Williams, J.H., Finkelstein, J.S., and Woda, J.C., 2022, Areas contributing recharge to selected production wells in unconfined and confined glacial valley-fill aquifers in Chenango River Basin, New York (ver. 1.1, 2026): U.S. Geological Survey Scientific Investigations Report 2021–5083, 48 p., https://doi.org/10.3133/sir20215083.","productDescription":"Report: vi, 48 p.; 2 Data Releases; Database","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-126791","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":502109,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112975.htm","linkFileType":{"id":5,"text":"html"}},{"id":500551,"rank":10,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2021/5083/versionHist.txt","size":"892 B","linkFileType":{"id":2,"text":"txt"}},{"id":398545,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/sir20225024","text":"Scientific Investigations Report 2022–5024","linkHelpText":"- Data Sources and Methods for Digital Mapping of Eight Valley-Fill Aquifer Systems in Upstate New York"},{"id":398544,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96R5K5R","text":"USGS data release","linkHelpText":"Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas"},{"id":398543,"rank":7,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":398541,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5083/images/"},{"id":398540,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5083/sir20215083.XML"},{"id":398539,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5083/sir20215083.pdf","text":"Report","size":"18.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5083"},{"id":398538,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5083/coverthb3.jpg"},{"id":399980,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215083/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2021-5083"},{"id":398542,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HU2G1K","text":"USGS data release","linkHelpText":"MODFLOW -NWT groundwater-flow models used to delineate areas contributing recharge to selected production wells in unconfined and confined glacial valley-fill aquifers in Chenango River Basin, New York"}],"country":"United States","state":"New York","otherGeospatial":"Chenango River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.11328125000001,\n 42.13896840458089\n ],\n [\n -75.16845703125,\n 42.13896840458089\n ],\n [\n -75.16845703125,\n 42.90011265525331\n ],\n [\n -76.11328125000001,\n 42.90011265525331\n ],\n [\n -76.11328125000001,\n 42.13896840458089\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: May 2022; Version 1.1: April 2026","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-05-02","revisedDate":"2026-04-02","noUsgsAuthors":false,"publicationDate":"2022-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Friesz, Paul J. 0000-0002-4660-2336 pfriesz@usgs.gov","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":1075,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul","email":"pfriesz@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236 jfinkels@usgs.gov","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":140604,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason","email":"jfinkels@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woda, Joshua C. 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840403,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230478,"text":"sir20225024 - 2022 - Data sources and methods for digital mapping of eight valley-fill aquifer systems in upstate New York","interactions":[],"lastModifiedDate":"2026-04-09T17:00:04.762111","indexId":"sir20225024","displayToPublicDate":"2022-05-02T14:55:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5024","displayTitle":"Data Sources and Methods for Digital Mapping of Eight Valley-Fill Aquifer Systems in Upstate New York","title":"Data sources and methods for digital mapping of eight valley-fill aquifer systems in upstate New York","docAbstract":"

Digital hydrogeologic maps were developed in eight study areas in upstate New York by the U.S. Geological Survey in cooperation with the New York State Department of Environmental Conservation. The digital maps define the hydrogeologic framework of the valley-fill aquifers and surrounding till-covered uplands in the vicinity of the villages of Ellenville and Wurtsboro and hamlets of Woodbourne and South Fallsburg in Sullivan and Ulster Counties, town of Greene in Chenango County, city of Cortland and town of Cincinnatus in Cortland County, city of Jamestown in Chautauqua County, city of Olean and village of Ellicottville in Cattaraugus County, and villages of Fishkill and Wappinger Falls in Dutchess County. The hydrogeologic framework provided the foundation for groundwater-flow models that were used in the delineation of areas contributing groundwater flow to production wells screened in four of the eight valley-fill aquifers considered in this study. The hydrogeologic framework for the other four study areas was developed for potential future use in groundwater contributing-area studies.

Data used in the creation of all digital surfaces and thicknesses included published surficial geology; aquifer maps and hydrogeologic sections; light detection and ranging (lidar) datasets; the Soil Survey Geographic Database; and lithologic well logs from the National Water Information System, New York State Department of Environmental Conservation, New York State Department of Transportation, and Empire State Organized Geologic Information System databases. Digital maps of the surficial geology; thickness of the surficial sand and gravel aquifers; and tops of the confining lacustrine silt and clay units, confined sand and gravel aquifers, and bedrock surfaces were created by using ArcGIS (a geographic information system). All surfaces and thicknesses were generated by using one of the following ArcGIS interpolation tools: Topo to Raster, Natural Neighbors, Kriging, or Empirical Bayesian Kriging. The datasets developed in this study provide a greater understanding of the underlying hydrogeologic framework in glacial valley-fill aquifers and can be applied in the evaluation of groundwater-supply development and protection.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225024","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Finkelstein, J.S., Woda, J.C., and Williams, J.H., 2022, Data sources and methods for digital mapping of eight valley-fill aquifer systems in upstate New York: U.S. Geological Survey Scientific Investigations Report 2022–5024, 21 p., https://doi.org/10.3133/sir20225024.","productDescription":"Report: v, 21 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-122133","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":398708,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96R5K5R","text":"USGS data release","linkHelpText":"Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas"},{"id":398704,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5024/coverthb2.jpg"},{"id":398705,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5024/sir20225024.pdf","text":"Report","size":"4.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5024"},{"id":502380,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112976.htm","linkFileType":{"id":5,"text":"html"}},{"id":399981,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225024/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5024"},{"id":398710,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/sir20215112","text":"Scientific Investigations Report 2021–5112","linkHelpText":"- Areas Contributing Recharge to Priority Wells in Valley-fill Aquifers in the Neversink River and Rondout Creek Drainage Basins, New York"},{"id":398709,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/sir20215083","text":"Scientific Investigations Report 2021–5083","linkHelpText":"- Areas Contributing Recharge to Selected Production Wells in Unconfined and Confined Glacial Valley-Fill Aquifers in Chenango River Basin, New York"},{"id":398707,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5024/images/"},{"id":398706,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5024/sir20225024.XML"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.200439453125,\n 40.59727063442024\n ],\n [\n -73.223876953125,\n 40.59727063442024\n ],\n [\n -73.223876953125,\n 43.48481212891603\n ],\n [\n -79.200439453125,\n 43.48481212891603\n ],\n [\n -79.200439453125,\n 40.59727063442024\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-05-02","noUsgsAuthors":false,"publicationDate":"2022-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Finkelstein, Jason S. 0000-0002-7496-7236 jfinkels@usgs.gov","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":140604,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason","email":"jfinkels@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woda, Joshua C. 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230935,"text":"sir20225031 - 2022 - Gravity surveys for estimating possible width of enhanced porosity zones across structures on the Coconino Plateau, Coconino County, north-central Arizona","interactions":[],"lastModifiedDate":"2026-04-09T17:16:54.486408","indexId":"sir20225031","displayToPublicDate":"2022-05-02T11:04:57","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5031","displayTitle":"Gravity Surveys for Estimating Possible Width of Enhanced Porosity Zones Across Structures on the Coconino Plateau, Coconino County, North-Central Arizona","title":"Gravity surveys for estimating possible width of enhanced porosity zones across structures on the Coconino Plateau, Coconino County, north-central Arizona","docAbstract":"

The U.S. Geological Survey completed gravity transects in 2015, 2018, and 2019 over four features: the Bright Angel Fault, Bright Angel Monocline, Tusayan Graben, and Redlands Ranch Fault Zone in the Coconino Plateau, Coconino County, Arizona, to determine if the existence and width of high porosity (low density) zones could be inferred from the resulting gravity contrasts, which could be used to update groundwater models of the region. Faults and other geological structures in the Coconino Plateau are commonly thought to play a role in the movement of groundwater in the area, but limited data exist to constrain their influence. Some groundwater models of the region have used zones of enhanced permeability and porosity along or near features to model their effect on groundwater flow but have not shown sensitivity to the width of the zones used. Enhanced porosity zones in the subsurface, such as those included along or near features in some groundwater models of the region, could create small mass deficiencies detectable by microgravity methods. However, 3 of the 4 gravity transects, the Bright Angel Fault, Bright Angel Monocline, and Tusayan Graben, showed no negative gravity anomaly over the features that could indicate the presence of a low-density zone. Only the Redlands Ranch Fault Zone that had nearby collapse features showed a negative gravity anomaly that was modeled as a zone of 0.017 increased porosity about 800 meters wide, corresponding to the relative dimension and enhanced porosity used in groundwater models of the area. This study was unable to verify the existence of enhanced porosity zones at the selected locations along the other features. However, faults and other features may affect groundwater flow in different ways at different locations, and this work does not preclude the existence of enhanced porosity zones at other places along these faults.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225031","usgsCitation":"Wildermuth, L.M., 2022, Gravity surveys for estimating possible width of enhanced porosity zones across structures on the Coconino Plateau, Coconino County, north-central Arizona: U.S. Geological Survey Scientific Investigations Report 2022–5031, 22 p., https://doi.org/10.3133/sir20225031.","productDescription":"Report: v, 22 p.; Data Release","numberOfPages":"22","ipdsId":"IP-121579","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":502389,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112973.htm","linkFileType":{"id":5,"text":"html"}},{"id":399839,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZYHEBB","text":"Data from “Gravity surveys for estimating possible width of enhanced porosity zones across structures on the Coconino Plateau, Coconino County, north-central Arizona”","description":"Wildermuth, L.M., 2021, Data from “Gravity surveys for estimating possible width of enhanced porosity zones across structures on the Coconino Plateau, Coconino County, north-central Arizona”: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZYHEBB."},{"id":399838,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5031/sir20225031.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":399837,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5031/covrthb.jpg"}],"country":"United States","state":"Arizona","county":"Coconino County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.752,37.0045],[-110.751,34.2621],[-110.758,34.2599],[-110.763,34.2568],[-110.765,34.2568],[-110.766,34.2587],[-110.766,34.2664],[-110.765,34.2682],[-110.757,34.2781],[-110.759,34.284],[-110.765,34.2918],[-110.769,34.2946],[-110.776,34.2974],[-110.782,34.3079],[-110.788,34.2975],[-110.788,34.3098],[-110.795,34.3067],[-110.797,34.299],[-110.803,34.2972],[-110.804,34.3109],[-110.807,34.3109],[-110.812,34.295],[-110.818,34.2992],[-110.828,34.3016],[-110.834,34.3048],[-110.839,34.308],[-110.846,34.3072],[-110.844,34.304],[-110.834,34.2998],[-110.83,34.2975],[-110.821,34.2878],[-110.825,34.2865],[-110.831,34.282],[-110.838,34.2803],[-110.835,34.278],[-110.826,34.2784],[-110.827,34.2743],[-110.828,34.2747],[-110.834,34.2712],[-110.838,34.2689],[-110.858,34.2701],[-110.877,34.2757],[-110.884,34.2803],[-110.888,34.2862],[-110.884,34.2903],[-110.896,34.2958],[-110.894,34.2995],[-110.898,34.3027],[-110.906,34.3],[-110.928,34.3107],[-110.943,34.3113],[-110.945,34.3172],[-110.953,34.3186],[-110.955,34.3128],[-110.963,34.3183],[-110.968,34.3251],[-110.975,34.3366],[-110.989,34.3421],[-110.997,34.3445],[-110.996,34.3499],[-110.998,34.3513],[-111.005,34.3518],[-111.004,34.3573],[-111.008,34.3623],[-111.01,34.3596],[-111.021,34.3619],[-111.02,34.3715],[-111.023,34.3738],[-111.025,34.3688],[-111.026,34.3638],[-111.034,34.3625],[-111.027,34.3538],[-111.029,34.3511],[-111.032,34.3493],[-111.03,34.3411],[-111.045,34.3426],[-111.054,34.3536],[-111.057,34.3536],[-111.043,34.3703],[-111.037,34.3716],[-111.043,34.3794],[-111.06,34.3782],[-111.077,34.3801],[-111.076,34.3865],[-111.08,34.3892],[-111.085,34.3943],[-111.088,34.3952],[-111.096,34.3966],[-111.1,34.3939],[-111.106,34.3885],[-111.112,34.3849],[-111.115,34.3845],[-111.128,34.3905],[-111.13,34.3869],[-111.138,34.387],[-111.142,34.3811],[-111.147,34.3752],[-111.151,34.3789],[-111.15,34.3871],[-111.159,34.3976],[-111.163,34.4044],[-111.168,34.4031],[-111.178,34.4086],[-111.19,34.4073],[-111.199,34.4097],[-111.222,34.4166],[-111.223,34.4257],[-111.225,34.4257],[-111.228,34.4312],[-111.235,34.4299],[-111.239,34.4313],[-111.241,34.4381],[-111.246,34.4413],[-111.245,34.449],[-111.252,34.4527],[-111.259,34.4468],[-111.268,34.4424],[-111.281,34.4388],[-111.296,34.4366],[-111.314,34.4299],[-111.321,34.4272],[-111.326,34.4227],[-111.337,34.4237],[-111.353,34.4238],[-111.355,34.4292],[-111.352,34.4324],[-111.354,34.4342],[-111.353,34.4379],[-111.354,34.4402],[-111.363,34.4356],[-111.365,34.4384],[-111.368,34.4393],[-111.374,34.4384],[-111.379,34.4317],[-111.386,34.4308],[-111.388,34.4253],[-111.392,34.424],[-111.396,34.4254],[-111.397,34.4286],[-111.401,34.4259],[-111.4,34.4154],[-111.401,34.4109],[-111.406,34.4086],[-111.412,34.4091],[-111.403,34.3986],[-111.394,34.3981],[-111.387,34.3972],[-111.39,34.3945],[-111.389,34.3917],[-111.384,34.3908],[-111.387,34.3876],[-111.39,34.3876],[-111.393,34.3854],[-111.409,34.3773],[-111.413,34.3819],[-111.418,34.381],[-111.423,34.3887],[-111.425,34.3942],[-111.423,34.4028],[-111.423,34.4083],[-111.426,34.4196],[-111.422,34.4291],[-111.424,34.4351],[-111.418,34.435],[-111.416,34.4323],[-111.412,34.4336],[-111.407,34.4272],[-111.405,34.43],[-111.406,34.4386],[-111.4,34.4404],[-111.398,34.4431],[-111.403,34.444],[-111.408,34.4468],[-111.409,34.4427],[-111.418,34.4446],[-111.426,34.4478],[-111.436,34.446],[-111.441,34.437],[-111.451,34.4311],[-111.454,34.4261],[-111.46,34.4239],[-111.466,34.4139],[-111.479,34.414],[-111.479,34.4253],[-111.472,34.4303],[-111.468,34.4366],[-111.478,34.4312],[-111.475,34.4358],[-111.479,34.4344],[-111.484,34.4349],[-111.485,34.4304],[-111.489,34.4304],[-111.495,34.4345],[-111.493,34.4231],[-111.494,34.4186],[-111.498,34.4209],[-111.5,34.4272],[-111.505,34.4218],[-111.509,34.4218],[-111.511,34.4191],[-111.512,34.4159],[-111.519,34.4128],[-111.528,34.411],[-111.537,34.4119],[-111.537,34.4147],[-111.54,34.4151],[-111.546,34.4147],[-111.547,34.4174],[-111.551,34.4197],[-111.544,34.4229],[-111.54,34.4283],[-111.537,34.4247],[-111.529,34.4224],[-111.53,34.4346],[-111.525,34.4301],[-111.518,34.431],[-111.52,34.4378],[-111.517,34.44],[-111.519,34.4459],[-111.513,34.4436],[-111.508,34.4404],[-111.507,34.4377],[-111.502,34.4418],[-111.503,34.4436],[-111.499,34.4463],[-111.496,34.4463],[-111.494,34.4517],[-111.49,34.4504],[-111.489,34.454],[-111.484,34.4535],[-111.477,34.4508],[-111.48,34.4549],[-111.476,34.4594],[-111.472,34.4571],[-111.474,34.4598],[-111.472,34.4626],[-111.48,34.4608],[-111.481,34.4621],[-111.486,34.464],[-111.487,34.4622],[-111.496,34.4618],[-111.501,34.459],[-111.512,34.4555],[-111.518,34.4559],[-111.519,34.4582],[-111.521,34.4573],[-111.534,34.4542],[-111.54,34.4551],[-111.54,34.4565],[-111.537,34.4592],[-111.53,34.4619],[-111.522,34.4637],[-111.521,34.4628],[-111.519,34.4664],[-111.513,34.4682],[-111.512,34.4732],[-111.509,34.4782],[-111.511,34.4841],[-111.513,34.4845],[-111.513,34.4914],[-111.51,34.4936],[-111.508,34.4981],[-111.518,34.4945],[-111.519,34.4955],[-111.518,34.4991],[-111.521,34.4991],[-111.524,34.495],[-111.522,34.4878],[-111.522,34.4778],[-111.526,34.4751],[-111.529,34.4705],[-111.536,34.4678],[-111.537,34.4696],[-111.536,34.4719],[-111.539,34.4751],[-111.541,34.4719],[-111.542,34.4656],[-111.544,34.4647],[-111.549,34.4656],[-111.548,34.5456],[-111.549,34.5687],[-111.549,34.6696],[-111.549,34.6891],[-111.548,34.8013],[-111.644,34.8016],[-111.742,34.8028],[-111.776,34.8037],[-111.775,34.8814],[-111.775,34.9713],[-111.775,34.9799],[-111.791,34.98],[-111.805,34.9804],[-111.805,34.9754],[-111.806,34.9754],[-111.964,34.9756],[-112.005,34.9756],[-112.019,34.9738],[-112.078,34.9738],[-112.11,34.9733],[-112.331,34.9724],[-112.332,35.0773],[-112.333,35.0818],[-112.333,35.149],[-112.44,35.1487],[-112.439,35.2245],[-112.439,35.2399],[-112.439,35.2535],[-112.445,35.2585],[-112.515,35.2401],[-112.54,35.2363],[-112.542,35.2363],[-112.555,35.2385],[-112.585,35.2497],[-112.585,35.2511],[-112.635,35.3003],[-112.659,35.292],[-112.685,35.3091],[-112.698,35.3117],[-112.757,35.3087],[-112.769,35.3149],[-112.786,35.3167],[-112.801,35.3243],[-112.868,35.3383],[-112.876,35.3405],[-112.929,35.3497],[-112.961,35.3748],[-112.962,35.3766],[-112.971,35.3888],[-112.982,35.396],[-113.086,35.4527],[-113.093,35.4549],[-113.096,35.4571],[-113.232,35.5148],[-113.235,35.5166],[-113.251,35.5232],[-113.296,35.53],[-113.312,35.5303],[-113.334,35.5278],[-113.335,35.6299],[-113.334,35.7202],[-113.334,35.7656],[-113.334,35.7933],[-113.33,35.8055],[-113.328,35.8101],[-113.332,35.8219],[-113.327,35.8287],[-113.322,35.8442],[-113.321,35.8456],[-113.312,35.857],[-113.311,35.8588],[-113.31,35.8933],[-113.315,35.8974],[-113.321,35.9028],[-113.325,35.9104],[-113.329,35.9185],[-113.328,35.9222],[-113.326,35.9254],[-113.322,35.9368],[-113.324,35.9522],[-113.316,35.9627],[-113.316,35.9672],[-113.317,35.9718],[-113.324,35.9749],[-113.34,35.9856],[-113.341,35.9896],[-113.339,35.9947],[-113.335,36.0056],[-113.34,36.011],[-113.343,36.0177],[-113.352,36.0344],[-113.35,36.0381],[-113.35,36.0426],[-113.348,36.0476],[-113.328,36.071],[-113.323,36.0824],[-113.312,36.0943],[-113.308,36.0989],[-113.306,36.0994],[-113.299,36.0967],[-113.287,36.0964],[-113.276,36.0938],[-113.253,36.09],[-113.24,36.0928],[-113.23,36.0915],[-113.222,36.0934],[-113.205,36.1068],[-113.199,36.1118],[-113.196,36.1128],[-113.19,36.1187],[-113.192,36.1282],[-113.195,36.1373],[-113.194,36.1427],[-113.187,36.1491],[-113.172,36.162],[-113.17,36.1647],[-113.156,36.1721],[-113.141,36.1714],[-113.136,36.1678],[-113.116,36.178],[-113.106,36.1867],[-113.103,36.1885],[-113.068,36.2033],[-113.056,36.2071],[-113.05,36.2121],[-113.028,36.2318],[-113.007,36.2383],[-113.002,36.2366],[-112.982,36.2322],[-112.942,36.2402],[-112.93,36.2467],[-112.919,36.2576],[-112.912,36.2586],[-112.899,36.2542],[-112.89,36.257],[-112.886,36.2597],[-112.869,36.2812],[-112.861,36.2853],[-112.853,36.2822],[-112.839,36.2791],[-112.834,36.281],[-112.826,36.2878],[-112.814,36.2893],[-112.807,36.2861],[-112.799,36.2862],[-112.794,36.2889],[-112.791,36.2926],[-112.789,36.2976],[-112.78,36.3031],[-112.762,36.3096],[-112.76,36.315],[-112.752,36.3219],[-112.744,36.3246],[-112.736,36.322],[-112.728,36.317],[-112.723,36.3198],[-112.719,36.328],[-112.721,36.3375],[-112.72,36.342],[-112.714,36.3466],[-112.708,36.3498],[-112.704,36.3512],[-112.686,36.3549],[-112.683,36.3508],[-112.681,36.3454],[-112.678,36.3436],[-112.673,36.345],[-112.667,36.3487],[-112.661,36.3555],[-112.652,36.3642],[-112.646,36.3746],[-112.643,36.3837],[-112.636,36.3897],[-112.628,36.3906],[-112.628,36.4006],[-112.622,36.4079],[-112.621,36.4133],[-112.623,36.4179],[-112.627,36.421],[-112.628,36.4283],[-112.636,36.4264],[-112.64,36.4346],[-112.643,36.44],[-112.635,36.4423],[-112.638,36.4464],[-112.644,36.4459],[-112.638,36.4559],[-112.641,36.459],[-112.638,36.4618],[-112.631,36.4627],[-112.626,36.4664],[-112.627,36.4714],[-112.623,36.4736],[-112.622,36.4759],[-112.638,36.4745],[-112.647,36.4771],[-112.647,36.4808],[-112.644,36.4849],[-112.643,36.4917],[-112.648,36.4916],[-112.653,36.4884],[-112.661,36.4875],[-112.656,36.493],[-112.652,36.5025],[-112.657,36.5043],[-112.66,36.5088],[-112.659,36.5134],[-112.659,36.5211],[-112.663,36.5247],[-112.663,36.5342],[-112.671,36.5378],[-112.67,36.5455],[-112.666,36.5482],[-112.666,36.556],[-112.656,36.5546],[-112.655,36.556],[-112.647,36.5629],[-112.644,36.566],[-112.633,36.5724],[-112.626,36.5788],[-112.624,36.5834],[-112.617,36.5952],[-112.617,36.6029],[-112.616,36.6129],[-112.616,36.6165],[-112.615,36.6202],[-112.618,36.6238],[-112.621,36.6292],[-112.622,36.6324],[-112.619,36.6369],[-112.62,36.6419],[-112.623,36.6478],[-112.632,36.6677],[-112.635,36.6731],[-112.636,36.6772],[-112.635,36.6808],[-112.636,36.6844],[-112.634,36.6885],[-112.634,36.6922],[-112.635,36.7017],[-112.632,36.7053],[-112.629,36.7112],[-112.626,36.7244],[-112.621,36.7457],[-112.615,36.7626],[-112.615,36.7671],[-112.614,36.7793],[-112.616,36.7952],[-112.612,36.7988],[-112.608,36.8057],[-112.607,36.8079],[-112.601,36.8166],[-112.6,36.8257],[-112.597,36.8288],[-112.595,36.832],[-112.593,36.8402],[-112.59,36.8429],[-112.586,36.8507],[-112.582,36.8602],[-112.576,36.8711],[-112.576,36.8797],[-112.574,36.892],[-112.571,36.8974],[-112.565,36.8988],[-112.56,36.9025],[-112.554,36.9048],[-112.55,36.9129],[-112.546,36.9257],[-112.545,36.9343],[-112.543,36.9388],[-112.531,36.9602],[-112.531,36.9643],[-112.532,36.9706],[-112.536,36.9783],[-112.538,36.9855],[-112.542,36.9996],[-112.542,37.0032],[-112.496,37.0032],[-112.362,37.0033],[-112.243,37.003],[-112.228,37.0029],[-112.134,37.0027],[-111.708,37.003],[-111.64,37.003],[-111.525,37.0035],[-111.442,37.0034],[-111.423,37.0038],[-111.404,37.0037],[-111.359,37.0039],[-111.056,37.0042],[-110.886,37.0044],[-110.752,37.0045]]]},\"properties\":{\"name\":\"Coconino\",\"state\":\"AZ\"}}]}","contact":"

Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-05-02","noUsgsAuthors":false,"publicationDate":"2022-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Wildermuth, Libby M. 0000-0001-5333-0968 lwildermuth@usgs.gov","orcid":"https://orcid.org/0000-0001-5333-0968","contributorId":290713,"corporation":false,"usgs":true,"family":"Wildermuth","given":"Libby","email":"lwildermuth@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841672,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70243026,"text":"70243026 - 2022 - Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery","interactions":[],"lastModifiedDate":"2023-04-27T15:03:42.253254","indexId":"70243026","displayToPublicDate":"2022-05-02T08:54:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery","docAbstract":"

The relationships that control seed production in trees are fundamental to understanding the evolution of forest species and their capacity to recover from increasing losses to drought, fire, and harvest. A synthesis of fecundity data from 714 species worldwide allowed us to examine hypotheses that are central to quantifying reproduction, a foundation for assessing fitness in forest trees. Four major findings emerged. First, seed production is not constrained by a strict trade-off between seed size and numbers. Instead, seed numbers vary over ten orders of magnitude, with species that invest in large seeds producing more seeds than expected from the 1:1 trade-off. Second, gymnosperms have lower seed production than angiosperms, potentially due to their extra investments in protective woody cones. Third, nutrient-demanding species, indicated by high foliar phosphorus concentrations, have low seed production. Finally, sensitivity of individual species to soil fertility varies widely, limiting the response of community seed production to fertility gradients. In combination, these findings can inform models of forest response that need to incorporate reproductive potential.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-022-30037-9","usgsCitation":"Qiu, T., Andrus, R., Aravena Acuna, M., Ascoli, D., Bergeron, Y., Berretti, R., Berveiller, D., Biovin, T., Bonal, R., Bragg, D.C., Caignard, T., Calama, R., Camarero, J., Chang-Yang, C., Cleavitt, N.L., Courbaud, B., Courbet, F., Curt, T., Das, A., Daskalakou, E., Davi, H., Delpierre, N., Delzon, S., Dietze, M., Donoso Calderon, S., Dormont, L., Espelta, J.M., Fahey, T.J., Farfan-Rios, W., Gehring, C.A., Gilbert, G.S., Gratzner, G., Greenberg, C.H., Guo, Q., Hacket-Pain, A., Hampe, A., Han, Q., Hille Ris Lambers, J., Hoshizaki, K., Ibanez, I., Johnstone, J.F., Journe, V., Kabeya, D., Kilner, C.L., Kitzberger, T., Knops, J., Kobe, R.K., Kunstler, G., Kurokawa, H., Lageard, J., LaMontagne, J., Ledwon, M., Lefevre, F., Leininger, T., Limousin, J., Lutz, J.A., Macias, D., McIntire, E.J., Moore, C.M., Moran, E.V., Motta, R., Myers, J.A., Nagel, T.A., Noguchi, K., Ourcival, J., Parmenter, R., Pearse, I.S., Perez-Ramos, I., Piechnik, L., Poulsen, J., Poulton-Kamakura, R., Redmond, M., Reid, C.D., Rodman, K., Rodrigues-Sanchez, F., Sanguinetti, J., Scher, C.L., Schlesinger, W.H., Schmidt Van Marle, H., Seget, B., Sharma, S., Silman, M., Steele, M.A., Stephenson, N.L., Straub, J.N., Sun, I., Sutton, S., Swenson, J., Swift, M., Thomas, P., Uriarte, M., Vacchiano, G., Veblen, T., Whipple, A.V., Whitham, T.G., Wion, A., Wright, B., Wright, S.J., Zhu, K., Zimmermann, J., Zlotin, R., Zywiec, M., and Clark, J.S., 2022, Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery: Nature Communications, v. 13, 2381, 12 p., https://doi.org/10.1038/s41467-022-30037-9.","productDescription":"2381, 12 p.","ipdsId":"IP-132526","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-022-30037-9","text":"Publisher Index Page"},{"id":416441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2022-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Qiu, Tong","contributorId":268817,"corporation":false,"usgs":false,"family":"Qiu","given":"Tong","affiliations":[{"id":55678,"text":"Duke U","active":true,"usgs":false}],"preferred":false,"id":870629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrus, Robert","contributorId":304538,"corporation":false,"usgs":false,"family":"Andrus","given":"Robert","affiliations":[],"preferred":false,"id":870838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aravena Acuna, Marie-Claire","contributorId":302436,"corporation":false,"usgs":false,"family":"Aravena Acuna","given":"Marie-Claire","email":"","affiliations":[],"preferred":false,"id":870630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ascoli, Davide","contributorId":224289,"corporation":false,"usgs":false,"family":"Ascoli","given":"Davide","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":870631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergeron, Yves","contributorId":256848,"corporation":false,"usgs":false,"family":"Bergeron","given":"Yves","email":"","affiliations":[{"id":40150,"text":"Adam Mickiewicz University, Poland","active":true,"usgs":false}],"preferred":false,"id":870632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berretti, Roberta","contributorId":268819,"corporation":false,"usgs":false,"family":"Berretti","given":"Roberta","email":"","affiliations":[{"id":55679,"text":"U Turin","active":true,"usgs":false}],"preferred":false,"id":870633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Berveiller, Daniel","contributorId":303321,"corporation":false,"usgs":false,"family":"Berveiller","given":"Daniel","email":"","affiliations":[{"id":65756,"text":"Universite Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":870839,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Biovin, Thomas","contributorId":304485,"corporation":false,"usgs":false,"family":"Biovin","given":"Thomas","email":"","affiliations":[{"id":66087,"text":"research institution","active":true,"usgs":false}],"preferred":false,"id":870634,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bonal, Raul","contributorId":268821,"corporation":false,"usgs":false,"family":"Bonal","given":"Raul","email":"","affiliations":[{"id":55681,"text":"University of Madrid","active":true,"usgs":false}],"preferred":false,"id":870635,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bragg, Don C.","contributorId":256851,"corporation":false,"usgs":false,"family":"Bragg","given":"Don","email":"","middleInitial":"C.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":870840,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Caignard, Thomas","contributorId":268822,"corporation":false,"usgs":false,"family":"Caignard","given":"Thomas","email":"","affiliations":[{"id":55680,"text":"INRAE, France","active":true,"usgs":false}],"preferred":false,"id":870636,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Calama, Rafael","contributorId":268823,"corporation":false,"usgs":false,"family":"Calama","given":"Rafael","email":"","affiliations":[{"id":55682,"text":"INIA-CIFOR, Spain","active":true,"usgs":false}],"preferred":false,"id":870638,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Camarero, J. Julio","contributorId":303060,"corporation":false,"usgs":false,"family":"Camarero","given":"J. Julio","affiliations":[{"id":65633,"text":"Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), Spain","active":true,"usgs":false}],"preferred":false,"id":870637,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Chang-Yang, Chia-Huo","contributorId":304487,"corporation":false,"usgs":false,"family":"Chang-Yang","given":"Chia-Huo","email":"","affiliations":[],"preferred":false,"id":870641,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Cleavitt, Natalie L.","contributorId":256853,"corporation":false,"usgs":false,"family":"Cleavitt","given":"Natalie","email":"","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":870642,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Courbaud, Benoit","contributorId":256858,"corporation":false,"usgs":false,"family":"Courbaud","given":"Benoit","email":"","affiliations":[{"id":39773,"text":"Univ. Grenoble Alpes, France","active":true,"usgs":false}],"preferred":false,"id":870644,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Courbet, Francois","contributorId":303323,"corporation":false,"usgs":false,"family":"Courbet","given":"Francois","email":"","affiliations":[{"id":65760,"text":"Institut National de Recherche pour Agriculture, France","active":true,"usgs":false}],"preferred":false,"id":870841,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Curt, Thomas","contributorId":303064,"corporation":false,"usgs":false,"family":"Curt","given":"Thomas","email":"","affiliations":[{"id":65637,"text":"Aix Marseille universite, Institut National de Recherche pour Agriculture, Alimentation et Environnement (IN- RAE), Aix-en-Provence, France","active":true,"usgs":false}],"preferred":false,"id":870645,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":870646,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Daskalakou, Evangelia","contributorId":303324,"corporation":false,"usgs":false,"family":"Daskalakou","given":"Evangelia","email":"","affiliations":[{"id":65761,"text":"Institute of Mediterranean and Forest Ecosystems, Hellenic Agricultural Organization, Greece","active":true,"usgs":false}],"preferred":false,"id":870842,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Davi, Hendrik","contributorId":181968,"corporation":false,"usgs":false,"family":"Davi","given":"Hendrik","email":"","affiliations":[],"preferred":false,"id":870843,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Delpierre, Nicolas","contributorId":303325,"corporation":false,"usgs":false,"family":"Delpierre","given":"Nicolas","email":"","affiliations":[{"id":65756,"text":"Universite Paris-Saclay, France","active":true,"usgs":false}],"preferred":false,"id":870647,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Delzon, Sylvain","contributorId":181969,"corporation":false,"usgs":false,"family":"Delzon","given":"Sylvain","email":"","affiliations":[],"preferred":false,"id":870648,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Dietze, Michael","contributorId":248349,"corporation":false,"usgs":false,"family":"Dietze","given":"Michael","affiliations":[],"preferred":false,"id":870649,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Donoso Calderon, Sergio","contributorId":268826,"corporation":false,"usgs":false,"family":"Donoso Calderon","given":"Sergio","email":"","affiliations":[{"id":37346,"text":"Universidad de Chile","active":true,"usgs":false}],"preferred":false,"id":870844,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Dormont, Laurent","contributorId":303066,"corporation":false,"usgs":false,"family":"Dormont","given":"Laurent","email":"","affiliations":[{"id":65640,"text":"Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS), Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":870650,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Espelta, Josep Maria","contributorId":303326,"corporation":false,"usgs":false,"family":"Espelta","given":"Josep","email":"","middleInitial":"Maria","affiliations":[{"id":65762,"text":"Centre de Recerca Ecologica i Aplicacions Forestals (CREAF), Spain","active":true,"usgs":false}],"preferred":false,"id":870651,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Fahey, Timothy J.","contributorId":256866,"corporation":false,"usgs":false,"family":"Fahey","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":870652,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Farfan-Rios, William","contributorId":268827,"corporation":false,"usgs":false,"family":"Farfan-Rios","given":"William","email":"","affiliations":[{"id":37383,"text":"Washington University","active":true,"usgs":false}],"preferred":false,"id":870653,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Gehring, Catherine A.","contributorId":189076,"corporation":false,"usgs":false,"family":"Gehring","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":870655,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Gilbert, Gregory S.","contributorId":220542,"corporation":false,"usgs":false,"family":"Gilbert","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":870656,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Gratzner, Georg","contributorId":304489,"corporation":false,"usgs":false,"family":"Gratzner","given":"Georg","email":"","affiliations":[{"id":66087,"text":"research institution","active":true,"usgs":false}],"preferred":false,"id":870657,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Greenberg, Cathryn H.","contributorId":268828,"corporation":false,"usgs":false,"family":"Greenberg","given":"Cathryn","email":"","middleInitial":"H.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":870658,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Guo, Qinfeng","contributorId":214263,"corporation":false,"usgs":false,"family":"Guo","given":"Qinfeng","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":870660,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Hacket-Pain, Andrew","contributorId":224290,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":870661,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Hampe, Arndt","contributorId":303068,"corporation":false,"usgs":false,"family":"Hampe","given":"Arndt","email":"","affiliations":[{"id":65642,"text":"INRAE, Biodiversity, Genes, and Communities (BIOGECO), Pessac, France","active":true,"usgs":false}],"preferred":false,"id":870662,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Han, Qingmin","contributorId":303069,"corporation":false,"usgs":false,"family":"Han","given":"Qingmin","email":"","affiliations":[{"id":65643,"text":"Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Ibaraki, Japan","active":true,"usgs":false}],"preferred":false,"id":870663,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Hille Ris Lambers, Janneke","contributorId":256876,"corporation":false,"usgs":false,"family":"Hille Ris Lambers","given":"Janneke","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":870664,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Hoshizaki, Kazuhiko","contributorId":303070,"corporation":false,"usgs":false,"family":"Hoshizaki","given":"Kazuhiko","email":"","affiliations":[{"id":65644,"text":"Akita Prefectural University, Akita, Japan","active":true,"usgs":false}],"preferred":false,"id":870665,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Ibanez, Ines","contributorId":236833,"corporation":false,"usgs":false,"family":"Ibanez","given":"Ines","affiliations":[],"preferred":false,"id":870666,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Johnstone, Jill F.","contributorId":179336,"corporation":false,"usgs":false,"family":"Johnstone","given":"Jill","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":870667,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Journe, Valentin","contributorId":303071,"corporation":false,"usgs":false,"family":"Journe","given":"Valentin","email":"","affiliations":[{"id":65645,"text":"Universite Grenoble Alpes, France","active":true,"usgs":false}],"preferred":false,"id":870668,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Kabeya, Daisuke","contributorId":303328,"corporation":false,"usgs":false,"family":"Kabeya","given":"Daisuke","email":"","affiliations":[{"id":65764,"text":"Department of Plant Ecology Forestry and Forest Products Research Institute (FFPRI), Japan","active":true,"usgs":false}],"preferred":false,"id":870845,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Kilner, Christopher L.","contributorId":256877,"corporation":false,"usgs":false,"family":"Kilner","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":870846,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Kitzberger, Thomas","contributorId":181980,"corporation":false,"usgs":false,"family":"Kitzberger","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":870669,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Knops, Johannes M. H.","contributorId":303329,"corporation":false,"usgs":false,"family":"Knops","given":"Johannes M. H.","affiliations":[{"id":65765,"text":"Xian Jiaotong-Liverpool University, China","active":true,"usgs":false}],"preferred":false,"id":870670,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Kobe, Richard K.","contributorId":303330,"corporation":false,"usgs":false,"family":"Kobe","given":"Richard","email":"","middleInitial":"K.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":870847,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Kunstler, Georges","contributorId":198539,"corporation":false,"usgs":false,"family":"Kunstler","given":"Georges","email":"","affiliations":[],"preferred":false,"id":870671,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Kurokawa, Hiroko","contributorId":303078,"corporation":false,"usgs":false,"family":"Kurokawa","given":"Hiroko","email":"","affiliations":[{"id":65650,"text":"Tohoku Research Center, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan","active":true,"usgs":false}],"preferred":false,"id":870672,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Lageard, Jonathan G. A.","contributorId":302461,"corporation":false,"usgs":false,"family":"Lageard","given":"Jonathan G. A.","affiliations":[],"preferred":false,"id":870673,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"LaMontagne, Jalene M.","contributorId":223096,"corporation":false,"usgs":false,"family":"LaMontagne","given":"Jalene","middleInitial":"M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":870674,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Ledwon, Mateusz","contributorId":268834,"corporation":false,"usgs":false,"family":"Ledwon","given":"Mateusz","email":"","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":870848,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Lefevre, Francois","contributorId":304490,"corporation":false,"usgs":false,"family":"Lefevre","given":"Francois","affiliations":[{"id":66087,"text":"research institution","active":true,"usgs":false}],"preferred":false,"id":870675,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Leininger, Theodor","contributorId":303073,"corporation":false,"usgs":false,"family":"Leininger","given":"Theodor","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":870676,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Limousin, Jean-Marc","contributorId":199453,"corporation":false,"usgs":false,"family":"Limousin","given":"Jean-Marc","email":"","affiliations":[],"preferred":false,"id":870677,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Lutz, James A.","contributorId":139178,"corporation":false,"usgs":false,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":870678,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Macias, Diana","contributorId":256880,"corporation":false,"usgs":false,"family":"Macias","given":"Diana","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":870679,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"McIntire, Eliot J. B.","contributorId":256881,"corporation":false,"usgs":false,"family":"McIntire","given":"Eliot","email":"","middleInitial":"J. B.","affiliations":[{"id":51885,"text":"Pacific Forestry Centre, British Columbia","active":true,"usgs":false}],"preferred":false,"id":870681,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Moore, Christopher M.","contributorId":256883,"corporation":false,"usgs":false,"family":"Moore","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":51887,"text":"Colby College","active":true,"usgs":false}],"preferred":false,"id":870682,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Moran, Emily V.","contributorId":216568,"corporation":false,"usgs":false,"family":"Moran","given":"Emily","email":"","middleInitial":"V.","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":870683,"contributorType":{"id":1,"text":"Authors"},"rank":60},{"text":"Motta, Renzo","contributorId":224294,"corporation":false,"usgs":false,"family":"Motta","given":"Renzo","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":870684,"contributorType":{"id":1,"text":"Authors"},"rank":61},{"text":"Myers, Jonathan A.","contributorId":197852,"corporation":false,"usgs":false,"family":"Myers","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":870685,"contributorType":{"id":1,"text":"Authors"},"rank":62},{"text":"Nagel, Thomas A.","contributorId":268835,"corporation":false,"usgs":false,"family":"Nagel","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":40950,"text":"University of Ljubljana","active":true,"usgs":false}],"preferred":false,"id":870686,"contributorType":{"id":1,"text":"Authors"},"rank":63},{"text":"Noguchi, Kyotaro","contributorId":268836,"corporation":false,"usgs":false,"family":"Noguchi","given":"Kyotaro","email":"","affiliations":[{"id":55689,"text":"Forestry and Forest Products Research Institute, Japan","active":true,"usgs":false}],"preferred":false,"id":870849,"contributorType":{"id":1,"text":"Authors"},"rank":64},{"text":"Ourcival, Jean-Marc","contributorId":303079,"corporation":false,"usgs":false,"family":"Ourcival","given":"Jean-Marc","email":"","affiliations":[{"id":65651,"text":"CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":870689,"contributorType":{"id":1,"text":"Authors"},"rank":65},{"text":"Parmenter, Robert","contributorId":243994,"corporation":false,"usgs":false,"family":"Parmenter","given":"Robert","affiliations":[{"id":48788,"text":"Valles Caldera National Preserve, U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":870690,"contributorType":{"id":1,"text":"Authors"},"rank":66},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":870691,"contributorType":{"id":1,"text":"Authors"},"rank":67},{"text":"Perez-Ramos, Ignacio M.","contributorId":303080,"corporation":false,"usgs":false,"family":"Perez-Ramos","given":"Ignacio M.","affiliations":[{"id":65652,"text":"Inst. de Recursos Naturales y Agrobiologia de Sevilla, Consejo Superior de Investigaciones Cientificas (IRNAS-CSIC), Seville, Andalucia, Spain","active":true,"usgs":false}],"preferred":false,"id":870692,"contributorType":{"id":1,"text":"Authors"},"rank":68},{"text":"Piechnik, Lukasz","contributorId":268838,"corporation":false,"usgs":false,"family":"Piechnik","given":"Lukasz","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":870693,"contributorType":{"id":1,"text":"Authors"},"rank":69},{"text":"Poulsen, John","contributorId":303082,"corporation":false,"usgs":false,"family":"Poulsen","given":"John","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":870695,"contributorType":{"id":1,"text":"Authors"},"rank":70},{"text":"Poulton-Kamakura, Renata","contributorId":268840,"corporation":false,"usgs":false,"family":"Poulton-Kamakura","given":"Renata","email":"","affiliations":[{"id":55678,"text":"Duke U","active":true,"usgs":false}],"preferred":false,"id":870850,"contributorType":{"id":1,"text":"Authors"},"rank":71},{"text":"Redmond, Miranda D.","contributorId":225094,"corporation":false,"usgs":false,"family":"Redmond","given":"Miranda","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":870696,"contributorType":{"id":1,"text":"Authors"},"rank":72},{"text":"Reid, Chantal D.","contributorId":256889,"corporation":false,"usgs":false,"family":"Reid","given":"Chantal","email":"","middleInitial":"D.","affiliations":[{"id":51889,"text":"Department of Geography, University of Colorado Boulder, Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":870697,"contributorType":{"id":1,"text":"Authors"},"rank":73},{"text":"Rodman, Kyle C.","contributorId":238090,"corporation":false,"usgs":false,"family":"Rodman","given":"Kyle C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":870698,"contributorType":{"id":1,"text":"Authors"},"rank":74},{"text":"Rodrigues-Sanchez, Francisco","contributorId":304494,"corporation":false,"usgs":false,"family":"Rodrigues-Sanchez","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":870699,"contributorType":{"id":1,"text":"Authors"},"rank":75},{"text":"Sanguinetti, Javier","contributorId":304496,"corporation":false,"usgs":false,"family":"Sanguinetti","given":"Javier","affiliations":[],"preferred":false,"id":870701,"contributorType":{"id":1,"text":"Authors"},"rank":76},{"text":"Scher, C. Lane","contributorId":268843,"corporation":false,"usgs":false,"family":"Scher","given":"C.","email":"","middleInitial":"Lane","affiliations":[{"id":40036,"text":"Duke U.","active":true,"usgs":false}],"preferred":false,"id":870702,"contributorType":{"id":1,"text":"Authors"},"rank":77},{"text":"Schlesinger, Wiliam H","contributorId":256891,"corporation":false,"usgs":false,"family":"Schlesinger","given":"Wiliam","email":"","middleInitial":"H","affiliations":[{"id":51889,"text":"Department of Geography, University of Colorado Boulder, Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":870851,"contributorType":{"id":1,"text":"Authors"},"rank":78},{"text":"Schmidt Van Marle, Harald","contributorId":268844,"corporation":false,"usgs":false,"family":"Schmidt Van Marle","given":"Harald","email":"","affiliations":[{"id":37346,"text":"Universidad de Chile","active":true,"usgs":false}],"preferred":false,"id":870852,"contributorType":{"id":1,"text":"Authors"},"rank":79},{"text":"Seget, Barbara","contributorId":268845,"corporation":false,"usgs":false,"family":"Seget","given":"Barbara","email":"","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":870703,"contributorType":{"id":1,"text":"Authors"},"rank":80},{"text":"Sharma, Shubhi","contributorId":256893,"corporation":false,"usgs":false,"family":"Sharma","given":"Shubhi","email":"","affiliations":[{"id":51889,"text":"Department of Geography, University of Colorado Boulder, Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":870704,"contributorType":{"id":1,"text":"Authors"},"rank":81},{"text":"Silman, Miles","contributorId":268846,"corporation":false,"usgs":false,"family":"Silman","given":"Miles","email":"","affiliations":[{"id":36744,"text":"Wake Forest University","active":true,"usgs":false}],"preferred":false,"id":870706,"contributorType":{"id":1,"text":"Authors"},"rank":82},{"text":"Steele, Michael A.","contributorId":256894,"corporation":false,"usgs":false,"family":"Steele","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":51892,"text":"Department of Biology, Wilkes University, 84 West South Street, Wilkes-Barre, PA 18766","active":true,"usgs":false}],"preferred":false,"id":870707,"contributorType":{"id":1,"text":"Authors"},"rank":83},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":870708,"contributorType":{"id":1,"text":"Authors"},"rank":84},{"text":"Straub, Jacob N.","contributorId":130962,"corporation":false,"usgs":false,"family":"Straub","given":"Jacob","email":"","middleInitial":"N.","affiliations":[{"id":7179,"text":"Ctr for Earth & Envir Sc, St Univ of NY-Plattsburgh, NY","active":true,"usgs":false}],"preferred":false,"id":870709,"contributorType":{"id":1,"text":"Authors"},"rank":85},{"text":"Sun, I-Fang","contributorId":197843,"corporation":false,"usgs":false,"family":"Sun","given":"I-Fang","email":"","affiliations":[],"preferred":false,"id":870853,"contributorType":{"id":1,"text":"Authors"},"rank":86},{"text":"Sutton, Samantha","contributorId":256895,"corporation":false,"usgs":false,"family":"Sutton","given":"Samantha","email":"","affiliations":[{"id":51889,"text":"Department of Geography, University of Colorado Boulder, Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":870710,"contributorType":{"id":1,"text":"Authors"},"rank":87},{"text":"Swenson, Jennifer J.","contributorId":268847,"corporation":false,"usgs":false,"family":"Swenson","given":"Jennifer J.","affiliations":[{"id":55678,"text":"Duke U","active":true,"usgs":false}],"preferred":false,"id":870711,"contributorType":{"id":1,"text":"Authors"},"rank":88},{"text":"Swift, Margaret","contributorId":256897,"corporation":false,"usgs":false,"family":"Swift","given":"Margaret","email":"","affiliations":[{"id":51889,"text":"Department of Geography, University of Colorado Boulder, Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":870712,"contributorType":{"id":1,"text":"Authors"},"rank":89},{"text":"Thomas, Peter A.","contributorId":302432,"corporation":false,"usgs":false,"family":"Thomas","given":"Peter A.","affiliations":[],"preferred":false,"id":870713,"contributorType":{"id":1,"text":"Authors"},"rank":90},{"text":"Uriarte, Maria","contributorId":287019,"corporation":false,"usgs":false,"family":"Uriarte","given":"Maria","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":870714,"contributorType":{"id":1,"text":"Authors"},"rank":91},{"text":"Vacchiano, Giorgio","contributorId":224295,"corporation":false,"usgs":false,"family":"Vacchiano","given":"Giorgio","email":"","affiliations":[{"id":40851,"text":"University of Milan","active":true,"usgs":false}],"preferred":false,"id":870715,"contributorType":{"id":1,"text":"Authors"},"rank":92},{"text":"Veblen, Thomas T.","contributorId":71112,"corporation":false,"usgs":true,"family":"Veblen","given":"Thomas T.","affiliations":[],"preferred":false,"id":870854,"contributorType":{"id":1,"text":"Authors"},"rank":93},{"text":"Whipple, Amy V.","contributorId":256898,"corporation":false,"usgs":false,"family":"Whipple","given":"Amy","email":"","middleInitial":"V.","affiliations":[{"id":51893,"text":"Department of Biological Science, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":870716,"contributorType":{"id":1,"text":"Authors"},"rank":94},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":870717,"contributorType":{"id":1,"text":"Authors"},"rank":95},{"text":"Wion, Andreas","contributorId":225092,"corporation":false,"usgs":false,"family":"Wion","given":"Andreas","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":870718,"contributorType":{"id":1,"text":"Authors"},"rank":96},{"text":"Wright, Boyd","contributorId":303087,"corporation":false,"usgs":false,"family":"Wright","given":"Boyd","email":"","affiliations":[{"id":65655,"text":"University of New England, Armidale, New South Wales, Australia","active":true,"usgs":false}],"preferred":false,"id":870855,"contributorType":{"id":1,"text":"Authors"},"rank":97},{"text":"Wright, S. Joseph","contributorId":303333,"corporation":false,"usgs":false,"family":"Wright","given":"S.","email":"","middleInitial":"Joseph","affiliations":[{"id":47602,"text":"Smithsonian Tropical Research Institute, Panama","active":true,"usgs":false}],"preferred":false,"id":870719,"contributorType":{"id":1,"text":"Authors"},"rank":98},{"text":"Zhu, Kai","contributorId":256900,"corporation":false,"usgs":false,"family":"Zhu","given":"Kai","email":"","affiliations":[{"id":51894,"text":"University California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":870720,"contributorType":{"id":1,"text":"Authors"},"rank":99},{"text":"Zimmermann, Jess","contributorId":304498,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Jess","email":"","affiliations":[{"id":66087,"text":"research institution","active":true,"usgs":false}],"preferred":false,"id":870721,"contributorType":{"id":1,"text":"Authors"},"rank":100},{"text":"Zlotin, Roman","contributorId":256901,"corporation":false,"usgs":false,"family":"Zlotin","given":"Roman","email":"","affiliations":[{"id":51895,"text":"Geography Department and Russian and East European Institute, Student Building 120, Bloomington, IN 47405","active":true,"usgs":false}],"preferred":false,"id":870856,"contributorType":{"id":1,"text":"Authors"},"rank":101},{"text":"Zywiec, Magdalena","contributorId":268853,"corporation":false,"usgs":false,"family":"Zywiec","given":"Magdalena","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":870722,"contributorType":{"id":1,"text":"Authors"},"rank":102},{"text":"Clark, James S.","contributorId":248348,"corporation":false,"usgs":false,"family":"Clark","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":870723,"contributorType":{"id":1,"text":"Authors"},"rank":103}]}} ,{"id":70233583,"text":"70233583 - 2022 - Development and application of Landsat-based wetland vegetation cover and unvegetated-vegetated marsh ratio (UVVR) for the conterminous United States","interactions":[],"lastModifiedDate":"2022-10-17T15:42:12.550353","indexId":"70233583","displayToPublicDate":"2022-05-02T07:01:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Development and application of Landsat-based wetland vegetation cover and unvegetated-vegetated marsh ratio (UVVR) for the conterminous United States","docAbstract":"

Effective management and restoration of salt marshes and other vegetated intertidal habitats require objective and spatially integrated metrics of geomorphic status and vulnerability. The unvegetated-vegetated marsh ratio (UVVR), a recently developed metric, can be used to establish present-day vegetative cover, identify stability thresholds, and quantify vulnerability to open-water conversion over a range of spatial scales. We developed a Landsat-based approach to quantify the within-pixel vegetated fraction and UVVR for coastal wetlands of the conterminous United States, at 30-m resolution for 2014–2018. Here we present the methodology used to generate the UVVR from spectral indices, along with calibration, validation, and spatial autocorrelation assessments. We then demonstrate multiple applications of the data across varying spatial scales: first, we aggregate the UVVR across individual states and estuaries to quantify total vegetated wetland area for the nation. On the state level, Louisiana and Florida account for over 50% of the nation’s total, while on the estuarine level, the Chesapeake Bay Estuary and selected Louisiana coastal areas each account for over 6% of the nation’s total vegetated wetland area. Second, we present cases where this dataset can be used to track wetland change (e.g., expansion due to restoration and loss due to stressors). Lastly, we propose a classification methodology that delineates areas vulnerable to open-water expansion based on the 5-year mean and standard deviation of the UVVR. Calculating the UVVR for the period-of-record back to 1985, as well as regular updating, will fill a critical gap for tracking national status of salt marshes and other vegetated habitats through time and space.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-022-01081-x","usgsCitation":"Ganju, N., Couvillion, B., Defne, Z., and Ackerman, K., 2022, Development and application of Landsat-based wetland vegetation cover and unvegetated-vegetated marsh ratio (UVVR) for the conterminous United States: Estuaries and Coasts, v. 45, p. 1861-1878, https://doi.org/10.1007/s12237-022-01081-x.","productDescription":"18 p.","startPage":"1861","endPage":"1878","ipdsId":"IP-134943","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":447954,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-022-01081-x","text":"Publisher Index Page"},{"id":404482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2022-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":847477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":219340,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":847478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":847479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackerman, Kate 0000-0003-3925-721X","orcid":"https://orcid.org/0000-0003-3925-721X","contributorId":293631,"corporation":false,"usgs":true,"family":"Ackerman","given":"Kate","email":"","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":847480,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70232096,"text":"70232096 - 2022 - Adaptive management framework and decision support tool for invasive annual bromes in seven Northern Great Plains National Park Service units","interactions":[],"lastModifiedDate":"2022-07-18T16:11:16.468009","indexId":"70232096","displayToPublicDate":"2022-05-01T10:40:18","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NGPN/NRR-2022/2381","title":"Adaptive management framework and decision support tool for invasive annual bromes in seven Northern Great Plains National Park Service units","docAbstract":"

National Park Service (NPS) units in the northern Great Plains (NGP) were established to preserve and interpret the history of the United States, protect and showcase unusual geology and paleontology, and provide a home for vanishing large wildlife. A unifying feature among these national parks, monuments, and historic sites is northern mixed-grass prairie, which not only provides background scenery and habitat but is the foundation of many park missions. As recognition of the prairie’s importance to park fundamental resources and values has grown, so too has the realization that invasive plants threaten these values by reducing native species diversity, altering food webs, and marring the visitor experience. Cheatgrass (Bromus tectorum) and Japanese brome (Bromus japonicus)—collectively referred to as “annual bromes”—are of particular concern because of their documented increase through time, and their association with lower native plant diversity, in NGP parks. A variety of grazing, herbicide-application, and prescribed-fire experiments have shown promising short-term results for controlling annual bromes in research-scale plots in the NGP, but it is unclear whether these management actions will be as effective at the larger spatial and longer temporal scales relevant to park management. When uncertainties about the effectiveness of different management actions cannot be answered with traditional research approaches in time to prevent resource degradation, yet recurrent management decisions must be made, an adaptive management approach may be appropriate. Thus, in 2017, we began to develop the ABAM—Annual Brome Adaptive Management—framework. The aim of this framework is to reduce uncertainties about methods for controlling annual bromes in seven NGP parks through a formal process of learning from the application of on-going management. A uniform framework across seven parks provides greater opportunities for reducing these uncertainties compared to a single park acting alone or to multiple parks using different adaptive management frameworks.

This technical report details the development and expected implementation of the ABAM framework. After briefly introducing the issue (Section 1) and describing the context in which the framework was developed (Section 2), the report describes how a structured decision-making process was used to frame the problem, determine concrete objectives, and decide the alternative actions for achieving those objectives that the framework would be designed around (Section 3). Then the report describes the process used to develop the ABAM decision support system (Section 4). At the core of this system is the ABAM decision support tool, a Bayesian decision network built on nearly two decades of vegetation monitoring data from NGP parks, as well as current literature and ABAMspecific experiments. This tool, referred to as the ABAM model by its intended users, is built to work with the existing vegetation monitoring, prescribed fire, and invasive plant management programs that support the seven ABAM parks. In Section 5, the report describes how output from the ABAM model is produced and used in annual vegetation management decision making. It describes the ABAM R package (Baldwin et al. 2021) and an example R script that leads a user through an annual workflow using the model and the package. This workflow updates the model with information from new monitoring events following management actions of prescribed fire, herbicide application, or a combination thereof. With the updated model, data describing the current condition of vegetation in park management units, and current data for environmental factors included in the model (soil texture, slope, weather, and grazing), the user then runs the model to predict future vegetation conditions—and managers’ happiness with the outcome—in response to each of 10 management actions for each management unit in each park. These predictions inform managers’ decisions regarding locations and types of management actions to apply in the upcoming year.

The ABAM framework is in its infancy, and the report concludes (Section 6) with a discussion of its longer-term viability. Successful adaptive management requires commitment for the long term, likely decades. Currently, the predictions of the decision support tool are not expected to be highly accurate, but they ideally will improve over time as more management actions are applied and their outcomes are captured by monitoring. We designed the ABAM decision support tool to work with the existing management and monitoring resources in ABAM parks to maximize the sustainability of the model’s use, but the ABAM framework requires more than the model. Because this application of an adaptive management framework supported by a quantitative decision support tool to guide vegetation management is unique within the NPS (to our knowledge), institutional knowledge and mechanisms for long-term implementation of the ABAM framework do not exist within the agency. Additionally, the ABAM model and the data that inform it could be improved in a variety of ways. Thus, this report concludes with a discussion of ways to both sustain and improve upon the work completed so far.

","language":"English","publisher":"National Park Service","doi":"10.36967/nrr-2288750","usgsCitation":"Symstad, A., Baldwin, H., and Post van der Burg, M., 2022, Adaptive management framework and decision support tool for invasive annual bromes in seven Northern Great Plains National Park Service units: Natural Resource Report NPS/NGPN/NRR-2022/2381, xii, 237 p., https://doi.org/10.36967/nrr-2288750.","productDescription":"xii, 237 p.","ipdsId":"IP-121689","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":435863,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y9HZGE","text":"USGS data release","linkHelpText":"Vegetation Composition and Management History Data (2015-2019) from Experimental Plots at Badlands NP, Wind Cave NP, and Scotts Bluff NM Used to Develop the ABAM Model"},{"id":403916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Nebraska, South Dakota, Wyoming","otherGeospatial":"Agate Fossil Beds National Monument, Badlands National Park, Devils Tower National Monument, Fort Laramie National Historic Site, Little Bighorn Battlefield National Monument, Scotts Bluff National Monument, Wind Cave National park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.73094940185547,\n 44.57860797153904\n ],\n [\n -104.69678878784178,\n 44.57860797153904\n ],\n [\n -104.69678878784178,\n 44.60159063224486\n ],\n [\n -104.73094940185547,\n 44.60159063224486\n ],\n [\n -104.73094940185547,\n 44.57860797153904\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.56563949584961,\n 42.19406111275616\n ],\n [\n -104.52598571777344,\n 42.19406111275616\n ],\n [\n -104.52598571777344,\n 42.21135515638117\n ],\n [\n -104.56563949584961,\n 42.21135515638117\n ],\n [\n -104.56563949584961,\n 42.19406111275616\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.73531341552734,\n 41.80919639152055\n ],\n [\n -103.67694854736328,\n 41.80919639152055\n ],\n [\n -103.67694854736328,\n 41.85882216893286\n ],\n [\n -103.73531341552734,\n 41.85882216893286\n ],\n [\n -103.73531341552734,\n 41.80919639152055\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.798828125,\n 42.407488160327205\n ],\n [\n -103.68913650512695,\n 42.407488160327205\n ],\n [\n -103.68913650512695,\n 42.43726713442646\n ],\n [\n -103.798828125,\n 42.43726713442646\n ],\n [\n -103.798828125,\n 42.407488160327205\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.44611740112305,\n 45.56682803483195\n ],\n [\n -107.4404525756836,\n 45.5560111391413\n ],\n [\n -107.43272781372069,\n 45.55420812072298\n ],\n [\n -107.41230010986328,\n 45.56352309320862\n ],\n [\n -107.42620468139648,\n 45.57566028814175\n ],\n [\n -107.44611740112305,\n 45.56682803483195\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.52691650390625,\n 43.50772499687011\n ],\n [\n -103.32778930664062,\n 43.50772499687011\n ],\n [\n -103.32778930664062,\n 43.64005063334696\n ],\n [\n -103.52691650390625,\n 43.64005063334696\n ],\n [\n -103.52691650390625,\n 43.50772499687011\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.843017578125,\n 43.48481212891603\n ],\n [\n -102.65625,\n 43.52465500687185\n ],\n [\n -102.3651123046875,\n 43.45291889355465\n ],\n [\n -102.2552490234375,\n 43.504736854976954\n ],\n [\n -102.2772216796875,\n 43.5843700152048\n ],\n [\n -102.557373046875,\n 43.55651037504758\n ],\n [\n -102.601318359375,\n 43.632099415557754\n ],\n [\n -102.5244140625,\n 43.64800079902171\n ],\n [\n -102.45849609375,\n 43.74332071724287\n ],\n [\n -102.271728515625,\n 43.775060351224695\n ],\n [\n -102.24426269531249,\n 43.80678314779554\n ],\n [\n -102.0849609375,\n 43.75125720420175\n ],\n [\n -101.8817138671875,\n 43.715534726205114\n ],\n [\n -101.8597412109375,\n 43.79488907226601\n ],\n [\n -102.161865234375,\n 43.858296779161826\n ],\n [\n -102.44750976562499,\n 43.94537239244209\n ],\n [\n -102.4365234375,\n 43.878097874251736\n ],\n [\n -102.4530029296875,\n 43.8186748554532\n ],\n [\n -102.6123046875,\n 43.8186748554532\n ],\n [\n -102.6068115234375,\n 43.71156424665851\n ],\n [\n -102.8485107421875,\n 43.683763524273346\n ],\n [\n -102.89794921875,\n 43.64800079902171\n ],\n [\n -102.919921875,\n 43.492782808225\n ],\n [\n -102.843017578125,\n 43.48481212891603\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Symstad, Amy 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":201095,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Heather 0000-0003-1939-5439 baldwinh@usgs.gov","orcid":"https://orcid.org/0000-0003-1939-5439","contributorId":5635,"corporation":false,"usgs":true,"family":"Baldwin","given":"Heather","email":"baldwinh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844198,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237073,"text":"70237073 - 2022 - Highly specialized recreationists contribute the most to the citizen science project eBird","interactions":[],"lastModifiedDate":"2022-09-29T15:03:37.83503","indexId":"70237073","displayToPublicDate":"2022-05-01T09:55:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Highly specialized recreationists contribute the most to the citizen science project eBird","docAbstract":"Contributory citizen science projects (hereafter “contributory projects”) are a powerful tool for avian conservation science. Large-scale projects such as eBird have produced data that have advanced science and contributed to many conservation applications. These projects also provide a means to engage the public in scientific data collection. A common challenge across contributory projects like eBird is to maintain participation, as some volunteers contribute just a few times before disengaging. To maximize contributions and manage an effective program that has broad appeal, it is useful to better understand factors that influence contribution rates. For projects capitalizing on recreation activities (e.g., birding), differences in contribution levels might be explained by the recreation specialization framework, which describes how recreationists vary in skill, behavior, and motives. We paired data from a survey of birders across the United States and Canada with data on their eBird contributions (n = 28,926) to test whether those who contributed most are more specialized birders. We assigned participants to 4 contribution groups based on eBird checklist submissions and compared groups’ specialization levels and motivations. More active contribution groups had higher specialization, yet some specialized birders were not active participants. The most distinguishing feature among groups was the behavioral dimension of specialization, with active eBird participants owning specialized equipment and taking frequent trips away from home to bird. Active participants had the strongest achievement motivations for birding (e.g., keeping a life list), whereas all groups had strong appreciation motivations (e.g., enjoying the sights and sounds of birding). Using recreation specialization to characterize eBird participants can help explain why some do not regularly contribute data. Project managers may be able to promote participation, particularly by those who are specialized but not contributing, by appealing to a broader suite of motivations that includes both appreciation and achievement motivations, and thereby increase data for conservation.","language":"English","publisher":"Oxford University Press","doi":"10.1093/ornithapp/duac008","usgsCitation":"Rosenblatt, C.J., Dayer, A., Duberstein, J., Phillips, T.B., Harshaw, H., Fulton, D.C., Cole, N.W., Raedeke, A., Rutter, J., and Wood, C.L., 2022, Highly specialized recreationists contribute the most to the citizen science project eBird: Ornithological Applications, v. 124, no. 2, 16 p., https://doi.org/10.1093/ornithapp/duac008.","productDescription":"16 p.","ipdsId":"IP-122716","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":447960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duac008","text":"Publisher Index Page"},{"id":407601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenblatt, Connor J.","contributorId":297070,"corporation":false,"usgs":false,"family":"Rosenblatt","given":"Connor","email":"","middleInitial":"J.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":853251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dayer, Ashley A.","contributorId":278637,"corporation":false,"usgs":false,"family":"Dayer","given":"Ashley A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":853252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duberstein, Jennifer N.","contributorId":278642,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jennifer N.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":853253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Tina B.","contributorId":149656,"corporation":false,"usgs":false,"family":"Phillips","given":"Tina","email":"","middleInitial":"B.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":853254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harshaw, H. W.","contributorId":297072,"corporation":false,"usgs":false,"family":"Harshaw","given":"H. W.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":853257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":853256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cole, Nicholas W. 0000-0003-1204-971X","orcid":"https://orcid.org/0000-0003-1204-971X","contributorId":278636,"corporation":false,"usgs":true,"family":"Cole","given":"Nicholas","email":"","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":853255,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Raedeke, Andrew H.","contributorId":297073,"corporation":false,"usgs":false,"family":"Raedeke","given":"Andrew H.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":853258,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rutter, Jonathan D.","contributorId":278638,"corporation":false,"usgs":false,"family":"Rutter","given":"Jonathan D.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":853259,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wood, Christopher L.","contributorId":297074,"corporation":false,"usgs":false,"family":"Wood","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":853260,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70231856,"text":"70231856 - 2022 - Estimated daily mean streamflow in Iowa using the Flow-Duration Curve Transfer Method StreamStats application","interactions":[],"lastModifiedDate":"2022-06-01T14:05:36.117162","indexId":"70231856","displayToPublicDate":"2022-05-01T09:01:42","publicationYear":"2022","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":10776,"text":"Hydrolink","active":true,"publicationSubtype":{"id":30}},"title":"Estimated daily mean streamflow in Iowa using the Flow-Duration Curve Transfer Method StreamStats application","docAbstract":"The U.S. Geological Survey (USGS) operates many streamgages throughout the country that provide historical and real-time daily streamflow information. Accurate estimates of daily streamflow and the percentage of time that a certain volume of streamflow occurs or is exceeded in a stream is crucial information for structure design and other activities conducted by federal, state, and local officials. However, many important locations are ungaged and therefore lack the in-depth data provided at streamgages. The USGS provides hydrologic information like streamflow statistics and drainage basin characteristics in the web-based tool StreamStats (https://streamstats.usgs.gov/ss/). A newly released StreamStats functionality developed by the StreamStats development team working closely with USGS scientists in the Central Midwest Water Science Center incorporates flow-duration statistics already available at USGS streamgages to calculate daily mean streamflow estimates for rural, ungaged locations in Iowa [1].","language":"English","publisher":"American Association of State Highway and Transportation Officials","usgsCitation":"Marti, M.K., Wavra, H.N., and Medenblik, A., 2022, Estimated daily mean streamflow in Iowa using the Flow-Duration Curve Transfer Method StreamStats application: Hydrolink, no. Spring 2022, p. 7-9.","productDescription":"3 p.","startPage":"7","endPage":"9","ipdsId":"IP-139918","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":401540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":401539,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://design.transportation.org/technical-committees/hydrology-and-hydraulics/"}],"country":"United States","state":"Iowa","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.217706,43.50055],[-91.216035,43.481142],[-91.233367,43.455168],[-91.200359,43.412701],[-91.198953,43.389835],[-91.21477,43.365874],[-91.20662,43.352524],[-91.132813,43.32803],[-91.107237,43.313645],[-91.07371,43.274746],[-91.071698,43.261014],[-91.058644,43.257679],[-91.066398,43.239293],[-91.12217,43.197255],[-91.1462,43.152405],[-91.1562,43.142945],[-91.175253,43.134665],[-91.179457,43.067427],[-91.156562,42.978226],[-91.14543,42.958211],[-91.14988,42.941955],[-91.1438,42.922877],[-91.146177,42.90985],[-91.100565,42.883078],[-91.097656,42.859871],[-91.091837,42.851225],[-91.09406,42.830813],[-91.078665,42.827678],[-91.069549,42.769628],[-91.060261,42.761847],[-91.065783,42.753387],[-91.056297,42.747341],[-91.051275,42.737001],[-91.035418,42.73734],[-91.026786,42.724228],[-91.000128,42.716189],[-90.977735,42.696816],[-90.949213,42.685573],[-90.923634,42.6855],[-90.88743,42.67247],[-90.731132,42.643437],[-90.706303,42.634169],[-90.692031,42.610366],[-90.686975,42.591774],[-90.661527,42.567999],[-90.654127,42.5499],[-90.643927,42.540401],[-90.636927,42.513202],[-90.655927,42.491703],[-90.654027,42.478503],[-90.624328,42.458904],[-90.567968,42.440389],[-90.560439,42.432897],[-90.555018,42.416138],[-90.477279,42.383794],[-90.462619,42.367253],[-90.443874,42.355218],[-90.416535,42.325109],[-90.430884,42.27823],[-90.419326,42.254467],[-90.400653,42.239293],[-90.391108,42.225473],[-90.356964,42.205445],[-90.328273,42.201047],[-90.282173,42.178846],[-90.234919,42.165431],[-90.209479,42.15268],[-90.197342,42.128163],[-90.167533,42.122475],[-90.161159,42.106372],[-90.168358,42.075779],[-90.164485,42.042105],[-90.151579,42.030633],[-90.140061,42.003252],[-90.146225,41.981329],[-90.164135,41.956178],[-90.163847,41.944934],[-90.152659,41.933058],[-90.153584,41.906614],[-90.181401,41.844647],[-90.181973,41.80707],[-90.278633,41.767358],[-90.310708,41.742214],[-90.317668,41.72269],[-90.313435,41.698082],[-90.334525,41.679559],[-90.343452,41.646959],[-90.339528,41.598633],[-90.343228,41.587833],[-90.41283,41.565333],[-90.461432,41.523533],[-90.500633,41.518033],[-90.540935,41.526133],[-90.591037,41.512832],[-90.602137,41.506032],[-90.605937,41.494232],[-90.655839,41.462132],[-90.750142,41.449632],[-90.846558,41.455141],[-90.930016,41.421404],[-90.979815,41.434321],[-91.027787,41.423603],[-91.043988,41.415897],[-91.05101,41.387556],[-91.06652,41.365246],[-91.074841,41.305578],[-91.092034,41.286911],[-91.114186,41.250029],[-91.113648,41.241401],[-91.07298,41.207151],[-91.041536,41.166138],[-91.027214,41.163373],[-91.007586,41.166183],[-90.99496,41.160624],[-90.946627,41.096632],[-90.949383,41.072711],[-90.942253,41.034702],[-90.945949,41.006495],[-90.958142,40.979767],[-90.952233,40.954047],[-90.965344,40.921633],[-91.009536,40.900565],[-91.021562,40.884021],[-91.044653,40.868356],[-91.05643,40.848387],[-91.092993,40.821079],[-91.097649,40.805575],[-91.091703,40.779708],[-91.110424,40.745528],[-91.115735,40.725168],[-91.11194,40.697018],[-91.123928,40.669152],[-91.185428,40.638071],[-91.253074,40.637962],[-91.306524,40.626231],[-91.339719,40.613488],[-91.359873,40.601805],[-91.379752,40.57445],[-91.401482,40.559458],[-91.406373,40.551831],[-91.404125,40.539127],[-91.384531,40.530948],[-91.369059,40.512532],[-91.364211,40.500043],[-91.364915,40.484168],[-91.381769,40.442555],[-91.372554,40.4012],[-91.381958,40.387632],[-91.419422,40.378264],[-91.441243,40.386255],[-91.452458,40.375501],[-91.463895,40.375659],[-91.465116,40.385257],[-91.484507,40.3839],[-91.490977,40.393484],[-91.487829,40.403866],[-91.498093,40.401926],[-91.522333,40.409648],[-91.527057,40.416689],[-91.519012,40.431298],[-91.529132,40.434272],[-91.533548,40.440804],[-91.523271,40.450061],[-91.526155,40.458625],[-91.552691,40.458769],[-91.574746,40.465664],[-91.590817,40.492292],[-91.621353,40.510072],[-91.618028,40.53403],[-91.6219,40.542292],[-91.6887,40.55739],[-91.691557,40.564867],[-91.686357,40.580875],[-91.716769,40.59853],[-91.729115,40.61364],[-92.686693,40.589809],[-94.294813,40.571341],[-94.632032,40.571186],[-95.765645,40.585208],[-95.753148,40.59284],[-95.748626,40.603355],[-95.768926,40.621264],[-95.776251,40.647463],[-95.795489,40.662384],[-95.822913,40.66724],[-95.842801,40.677496],[-95.852615,40.702262],[-95.883178,40.717579],[-95.888907,40.731855],[-95.879027,40.753081],[-95.84662,40.768619],[-95.835232,40.779151],[-95.834523,40.787778],[-95.845342,40.811324],[-95.837186,40.835347],[-95.847084,40.854174],[-95.847785,40.864328],[-95.838735,40.872191],[-95.815933,40.879846],[-95.809474,40.891228],[-95.813458,40.901693],[-95.836438,40.921642],[-95.839743,40.93278],[-95.829074,40.975688],[-95.838908,40.986484],[-95.867286,41.001599],[-95.869486,41.009399],[-95.859918,41.025403],[-95.859654,41.035695],[-95.882415,41.060411],[-95.862587,41.088399],[-95.865888,41.117898],[-95.882088,41.143998],[-95.883489,41.154898],[-95.871912,41.168122],[-95.846188,41.166698],[-95.841288,41.174998],[-95.856788,41.187098],[-95.90969,41.184398],[-95.91829,41.186698],[-95.92599,41.195698],[-95.924891,41.211198],[-95.910891,41.231798],[-95.921891,41.264598],[-95.913991,41.271398],[-95.928691,41.281398],[-95.927491,41.298397],[-95.90589,41.300897],[-95.90429,41.293497],[-95.912491,41.279498],[-95.90249,41.273398],[-95.87689,41.285097],[-95.871489,41.295797],[-95.883089,41.316697],[-95.92569,41.322197],[-95.946891,41.334096],[-95.956691,41.345496],[-95.954891,41.351796],[-95.93549,41.360596],[-95.92879,41.370096],[-95.93689,41.396387],[-95.929721,41.411331],[-95.933169,41.42943],[-95.919865,41.447922],[-95.922529,41.455766],[-95.936801,41.46519],[-95.962329,41.46281],[-96.011757,41.476212],[-96.019542,41.486617],[-95.997903,41.504789],[-95.992599,41.514174],[-95.999529,41.538679],[-96.005079,41.544004],[-96.019686,41.545743],[-96.027289,41.541081],[-96.034305,41.512853],[-96.040701,41.507076],[-96.05369,41.508859],[-96.07307,41.525052],[-96.08822,41.530595],[-96.09409,41.539265],[-96.093613,41.558271],[-96.081152,41.577289],[-96.085771,41.585746],[-96.109387,41.596871],[-96.117558,41.609999],[-96.116233,41.621574],[-96.100701,41.635507],[-96.095046,41.647365],[-96.099837,41.66103],[-96.120983,41.677861],[-96.121401,41.688522],[-96.111968,41.697773],[-96.082429,41.698159],[-96.073063,41.705004],[-96.079682,41.717962],[-96.10261,41.728016],[-96.106425,41.73789],[-96.102772,41.746339],[-96.079915,41.757895],[-96.077543,41.777824],[-96.064537,41.793002],[-96.075548,41.807811],[-96.107592,41.820685],[-96.110246,41.84885],[-96.142045,41.868865],[-96.148826,41.888132],[-96.161756,41.90182],[-96.160767,41.908044],[-96.136743,41.920826],[-96.144583,41.941544],[-96.133318,41.955732],[-96.1289,41.969727],[-96.141228,41.978063],[-96.156538,41.980137],[-96.184243,41.976696],[-96.192141,41.984461],[-96.183568,41.999987],[-96.194556,42.008662],[-96.215225,42.006701],[-96.223896,41.995456],[-96.236487,41.996428],[-96.241932,42.006965],[-96.223611,42.022652],[-96.223822,42.033346],[-96.238392,42.041088],[-96.261132,42.038974],[-96.271427,42.044988],[-96.279342,42.07028],[-96.267636,42.096177],[-96.2689,42.11359],[-96.279203,42.12348],[-96.310085,42.132523],[-96.319528,42.146647],[-96.342395,42.160491],[-96.349688,42.172043],[-96.348066,42.194747],[-96.35987,42.210545],[-96.358141,42.214088],[-96.336323,42.218922],[-96.323723,42.229887],[-96.330004,42.240224],[-96.328905,42.254734],[-96.336003,42.264806],[-96.365792,42.285875],[-96.369212,42.308344],[-96.375307,42.318339],[-96.407998,42.337408],[-96.417786,42.351449],[-96.417093,42.361443],[-96.408436,42.376092],[-96.41498,42.393442],[-96.413609,42.407894],[-96.387608,42.432494],[-96.380707,42.446394],[-96.385407,42.473094],[-96.396107,42.484095],[-96.409408,42.487595],[-96.474409,42.491895],[-96.476909,42.497795],[-96.473339,42.503537],[-96.477454,42.509589],[-96.490089,42.512441],[-96.49297,42.517282],[-96.479909,42.524195],[-96.476952,42.556079],[-96.498041,42.558153],[-96.498709,42.57087],[-96.489328,42.5708],[-96.485796,42.575001],[-96.49545,42.579474],[-96.494777,42.585741],[-96.499885,42.588539],[-96.509468,42.61273],[-96.517048,42.615343],[-96.525671,42.609312],[-96.531604,42.615148],[-96.518542,42.62035],[-96.516338,42.630435],[-96.537881,42.646446],[-96.542366,42.660736],[-96.559281,42.657903],[-96.556461,42.663939],[-96.566684,42.675942],[-96.576381,42.671302],[-96.575299,42.682665],[-96.596405,42.688514],[-96.59908,42.697296],[-96.61017,42.694568],[-96.629625,42.705102],[-96.624446,42.714294],[-96.624704,42.725497],[-96.631931,42.725086],[-96.638621,42.734921],[-96.630485,42.750378],[-96.620548,42.753534],[-96.620272,42.757124],[-96.632212,42.761512],[-96.633168,42.768325],[-96.61949,42.784034],[-96.604559,42.783034],[-96.595283,42.792982],[-96.590757,42.808255],[-96.596008,42.815044],[-96.585699,42.818041],[-96.577937,42.827645],[-96.581604,42.837521],[-96.571353,42.837155],[-96.565605,42.830434],[-96.560572,42.839373],[-96.552092,42.836057],[-96.549513,42.839143],[-96.554709,42.846142],[-96.545502,42.849956],[-96.54146,42.857682],[-96.550439,42.863171],[-96.549659,42.870281],[-96.537851,42.878475],[-96.540396,42.888877],[-96.526563,42.893755],[-96.542847,42.903737],[-96.537354,42.908791],[-96.541689,42.922576],[-96.525536,42.935511],[-96.516203,42.933769],[-96.52012,42.938183],[-96.500308,42.959391],[-96.505028,42.970844],[-96.515922,42.972886],[-96.520773,42.980385],[-96.512237,42.985937],[-96.509986,42.995126],[-96.49782,42.998143],[-96.49167,43.009707],[-96.499187,43.019213],[-96.510995,43.024701],[-96.509146,43.03668],[-96.518431,43.042068],[-96.510256,43.049917],[-96.490365,43.050789],[-96.476905,43.062383],[-96.463094,43.062981],[-96.458201,43.067554],[-96.454188,43.083379],[-96.462636,43.089614],[-96.460516,43.09494],[-96.436589,43.120842],[-96.450361,43.142237],[-96.458854,43.143356],[-96.466537,43.150281],[-96.464896,43.182034],[-96.473834,43.189804],[-96.470781,43.205099],[-96.475571,43.221054],[-96.496454,43.223652],[-96.519273,43.21769],[-96.535741,43.22764],[-96.56044,43.224219],[-96.568505,43.231554],[-96.571194,43.238961],[-96.552963,43.247281],[-96.552591,43.257769],[-96.582904,43.26769],[-96.586317,43.274319],[-96.577588,43.2788],[-96.580346,43.298204],[-96.553087,43.29286],[-96.530392,43.300034],[-96.526004,43.309999],[-96.534913,43.336473],[-96.524289,43.347214],[-96.527345,43.368109],[-96.521323,43.374607],[-96.521572,43.38564],[-96.524044,43.394762],[-96.529152,43.397735],[-96.537116,43.395063],[-96.573579,43.419228],[-96.569628,43.427527],[-96.575181,43.431756],[-96.592905,43.43317],[-96.602608,43.449649],[-96.600039,43.45708],[-96.584603,43.46961],[-96.586364,43.478251],[-96.580997,43.481384],[-96.590452,43.494298],[-96.598396,43.495074],[-96.598929,43.500441],[-91.217706,43.50055]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA \"}}]}","issue":"Spring 2022","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marti, Mackenzie K. 0000-0001-8817-4969 mmarti@usgs.gov","orcid":"https://orcid.org/0000-0001-8817-4969","contributorId":289738,"corporation":false,"usgs":true,"family":"Marti","given":"Mackenzie","email":"mmarti@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wavra, Harper N. 0000-0001-5688-902X","orcid":"https://orcid.org/0000-0001-5688-902X","contributorId":292171,"corporation":false,"usgs":true,"family":"Wavra","given":"Harper","email":"","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Medenblik, Andrea 0000-0003-2806-7541","orcid":"https://orcid.org/0000-0003-2806-7541","contributorId":216586,"corporation":false,"usgs":true,"family":"Medenblik","given":"Andrea","email":"","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843994,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}