{"pageNumber":"97","pageRowStart":"2400","pageSize":"25","recordCount":68760,"records":[{"id":70268773,"text":"70268773 - 2023 - Modeling global indices for estimating non-photosynthetic vegetation cover","interactions":[],"lastModifiedDate":"2025-07-08T16:28:40.126405","indexId":"70268773","displayToPublicDate":"2023-07-20T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Modeling global indices for estimating non-photosynthetic vegetation cover","docAbstract":"Non-photosynthetic vegetation (NPV) includes plant litter, senesced leaves, and crop residues. NPV plays an essential role in terrestrial ecosystem processes, and is an important indicator of drought severity, ecosystem disturbance, agricultural resilience, and wildfire danger. Current moderate spatial resolution multispectral satellite systems (e.g., Landsat and Sentinel-2) have only a single band in the 2000–2500 nm shortwave infrared “SWIR2” range where non-pigment biochemical constituents of NPV, including cellulose and lignin, have important spectral absorption features. Thus, these current systems have suboptimal capabilities for characterizing NPV cover. This research used simulated spectral mixtures accounting for variability among NPV and soils to evaluate globally-appropriate hyperspectral and multispectral indices for estimation of fractional NPV cover. The Continuum Interpolated NPV Depth Index (CINDI), a weighted ratio index measuring lignocellulose absorption near 2100 nm, was found to produce the lowest error in estimating NPV cover. CINDI was less sensitive to variability in soil spectra and green vegetation cover than competing indices. While CINDI was sensitive to the relative water content of soil and NPV, this sensitivity allowed for correcting error in estimated NPV cover as water content increased. CINDI bands were less capable than Dual Absorption NPV Index (DANI) bands for maintaining continuity with the heritage Landsat SWIR2 band, but combining multiple CINDI bands demonstrated adequate continuity. Three SWIR2 bands with band centers at 2038, 2108, and 2211 nm can provide superior capabilities for future moderate resolution multispectral/superspectral systems targeting NPV monitoring, including the next generation Landsat mission (Landsat Next). These bands and the associated CINDI index provide potential for global NPV monitoring using a constellation of future superspectral sensors and imaging spectrometers, with applications including improving soil management, preventing land degradation, evaluating impacts of drought, mapping ecosystem disturbance, and assessing wildfire danger.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2023.113715","usgsCitation":"Dennison, P., Lamb, B.T., Campbell, M., Kokaly, R.F., Hively, W.D., Vermote, E., Dabney, P.W., Serbin, G., Quemada, M., Daughtry, C.S., Masek, J.G., and Wu, Z., 2023, Modeling global indices for estimating non-photosynthetic vegetation cover: Remote Sensing of Environment, v. 295, 113715, 18 p., https://doi.org/10.1016/j.rse.2023.113715.","productDescription":"113715, 18 p.","ipdsId":"IP-151713","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":492062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2023.113715","text":"Publisher Index Page"},{"id":491817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"295","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dennison, Phillip 0000-0002-0241-1917","orcid":"https://orcid.org/0000-0002-0241-1917","contributorId":266031,"corporation":false,"usgs":false,"family":"Dennison","given":"Phillip","email":"","affiliations":[{"id":54865,"text":"Dept. 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River turbulence is spatially variable due to interactions between morphology of rivers and physical mechanics of flowing water. Understanding the variation of turbulence in rivers is important for characterizing transport processes of soluble and particulate materials in these systems. We present an exploratory effort to understand ecologically relevant flow patterns using measurements of mean flow and turbulence in a highly engineered river channel around an island in the lower Missouri River. Specifically, the profiles of mean river velocities were investigated to examine the logarithmic relation and associated parameters, including shear velocity and bed roughness. Turbulence intensity and Reynolds shear stress were compared with classic open-channel profiles and previously reported river data in the hydraulics literature. With the capability of pulse-to-pulse coherent Doppler velocity profiling in high spatial resolution, we estimated the profiles of turbulence dissipation rate using resolved one-dimensional velocity spectra. These measurement data allow us to examine the validity of turbulence production-dissipation balance and the classic open-channel profiles of turbulence statistics, including turbulence intensity, Reynolds shear stress, dissipation rate, and eddy viscosity. The field data show a strong variation of turbulence profiles in close vicinity of the river island. In shallow water depths close to the island, turbulence is substantially enhanced in comparison with classic open-channel profiles. Such turbulence enhancement is likely attributed to non-uniformity of the flow structures.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.4180","usgsCitation":"Li, G., Elliott, C.M., Call, B., Sansom, B.J., Jacobson, R., and Wang, B., 2023, Turbulence near a sandbar island in the lower Missouri River: River Research and Applications, v. 39, no. 9, p. 1857-1874, https://doi.org/10.1002/rra.4180.","productDescription":"18 p.","startPage":"1857","endPage":"1874","ipdsId":"IP-144621","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":442717,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4180","text":"Publisher Index Page"},{"id":435251,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P4K1UL","text":"USGS data release","linkHelpText":"Flow, turbulence, and bathymetric measurements of the Missouri River at Searcys Bend, near Huntsdale, Missouri September 16, 2021"},{"id":424491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"lower Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.49876362916422,\n 38.916436821729974\n ],\n [\n -92.49876362916422,\n 38.87742560479387\n ],\n [\n -92.46614796754318,\n 38.87742560479387\n ],\n [\n -92.46614796754318,\n 38.916436821729974\n ],\n [\n -92.49876362916422,\n 38.916436821729974\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Geng","contributorId":298636,"corporation":false,"usgs":false,"family":"Li","given":"Geng","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":892621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":892622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Call, Bruce 0000-0001-9064-2231","orcid":"https://orcid.org/0000-0001-9064-2231","contributorId":217707,"corporation":false,"usgs":true,"family":"Call","given":"Bruce","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":892623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sansom, Brandon James 0000-0001-7999-9547","orcid":"https://orcid.org/0000-0001-7999-9547","contributorId":289636,"corporation":false,"usgs":true,"family":"Sansom","given":"Brandon","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":892624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobson, R. B. 0000-0002-8368-2064","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":92614,"corporation":false,"usgs":true,"family":"Jacobson","given":"R. B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":892625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Bin","contributorId":298637,"corporation":false,"usgs":false,"family":"Wang","given":"Bin","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":892626,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70246961,"text":"70246961 - 2023 - Closing the gap between science and management of cold-water refuges in rivers and streams","interactions":[],"lastModifiedDate":"2023-09-06T16:31:46.083746","indexId":"70246961","displayToPublicDate":"2023-07-19T06:53:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Closing the gap between science and management of cold-water refuges in rivers and streams","docAbstract":"

Human activities and climate change threaten coldwater organisms in freshwater ecosystems by causing rivers and streams to warm, increasing the intensity and frequency of warm temperature events, and reducing thermal heterogeneity. Cold-water refuges are discrete patches of relatively cool water that are used by coldwater organisms for thermal relief and short-term survival. Globally, cohesive management approaches are needed that consider interlinked physical, biological, and social factors of cold-water refuges. We review current understanding of cold-water refuges, identify gaps between science and management, and evaluate policies aimed at protecting thermally sensitive species. Existing policies include designating cold-water habitats, restricting fishing during warm periods, and implementing threshold temperature standards or guidelines. However, these policies are rare and uncoordinated across spatial scales and often do not consider input from Indigenous peoples. We propose that cold-water refuges be managed as distinct operational landscape units, which provide a social and ecological context that is relevant at the watershed scale. These operational landscape units provide the foundation for an integrated framework that links science and management by (1) mapping and characterizing cold-water refuges to prioritize management and conservation actions, (2) leveraging existing and new policies, (3) improving coordination across jurisdictions, and (4) implementing adaptive management practices across scales. Our findings show that while there are many opportunities for scientific advancement, the current state of the sciences is sufficient to inform policy and management. Our proposed framework provides a path forward for managing and protecting cold-water refuges using existing and new policies to protect coldwater organisms in the face of global change.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16844","usgsCitation":"Mejia, F.H., Ouellet, V., Briggs, M., Carlson, S.M., Casas-Mulet, R., Chapman, M., Collins, M.J., Dugdale, S.J., Ebersole, J.L., Frechette, D.M., Fullerton, A.H., Gillis, C., Johnson, Z., Kelleher, C., Kurylyk, B.L., Lave, R., Letcher, B., Myrvold, K.M., Nadeau, T., Neville, H., Piégay, H., Smith, K.E., Tonolla, D., and Torgersen, C.E., 2023, Closing the gap between science and management of cold-water refuges in rivers and streams: Global Change Biology, v. 29, no. 19, p. 5482-5508, https://doi.org/10.1111/gcb.16844.","productDescription":"27 p.","startPage":"5482","endPage":"5508","ipdsId":"IP-139941","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":442723,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":878400,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70246968,"text":"70246968 - 2023 - Tire-derived transformation product 6PPD-quinone induces mortality and transcriptionally disrupts vascular permeability pathways in developing coho salmon","interactions":[],"lastModifiedDate":"2023-08-08T14:27:10.518154","indexId":"70246968","displayToPublicDate":"2023-07-19T06:49:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Tire-derived transformation product 6PPD-quinone induces mortality and transcriptionally disrupts vascular permeability pathways in developing coho salmon","docAbstract":"

Urban stormwater runoff frequently contains the car tire transformation product 6PPD-quinone, which is highly toxic to juvenile and adult coho salmon (Onchorychus kisutch). However, it is currently unclear if embryonic stages are impacted. We addressed this by exposing developing coho salmon embryos starting at the eyed stage to three concentrations of 6PPD-quinone twice weekly until hatch. Impacts on survival and growth were assessed. Further, whole-transcriptome sequencing was performed on recently hatched alevin to address the potential mechanism of 6PPD-quinone-induced toxicity. Acute mortality was not elicited in developing coho salmon embryos at environmentally measured concentrations lethal to juveniles and adults, however, growth was inhibited. Immediately after hatching, coho salmon were sensitive to 6PPD-quinone mortality, implicating a large window of juvenile vulnerability prior to smoltification. Molecularly, 6PPD-quinone induced dose-dependent effects that implicated broad dysregulation of genomic pathways governing cell–cell contacts and endothelial permeability. These pathways are consistent with previous observations of macromolecule accumulation in the brains of coho salmon exposed to 6PPD-quinone, implicating blood–brain barrier disruption as a potential pathway for toxicity. Overall, our data suggests that developing coho salmon exposed to 6PPD-quinone are at risk for adverse health events upon hatching while indicating potential mechanism(s) of action for this highly toxic chemical.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c01040","usgsCitation":"Greer, J.B., Dalsky, E.M., Lane, R.F., and Hansen, J.D., 2023, Tire-derived transformation product 6PPD-quinone induces mortality and transcriptionally disrupts vascular permeability pathways in developing coho salmon: Environmental Science & Technology, v. 57, no. 30, p. 10940-10950, https://doi.org/10.1021/acs.est.3c01040.","productDescription":"11 p.","startPage":"10940","endPage":"10950","ipdsId":"IP-147696","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":442727,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.3c01040","text":"Publisher Index Page"},{"id":435252,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PYKOPH","text":"USGS data release","linkHelpText":"Mortality, morphology, and water chemistry for 6PPD-quinone exposed coho embryos"},{"id":419176,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"30","noUsgsAuthors":false,"publicationDate":"2023-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":878412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalsky, Ellie Maureen 0000-0001-8299-7198","orcid":"https://orcid.org/0000-0001-8299-7198","contributorId":265182,"corporation":false,"usgs":true,"family":"Dalsky","given":"Ellie","email":"","middleInitial":"Maureen","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":878413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":878414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":878415,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70246747,"text":"sir20235057 - 2023 - Assessment of factors that influence human water demand for Providence, Rhode Island","interactions":[],"lastModifiedDate":"2026-03-09T16:31:25.89611","indexId":"sir20235057","displayToPublicDate":"2023-07-18T14:10:00","publicationYear":"2023","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":"2023-5057","displayTitle":"Assessment of Factors That Influence Human Water Demand for Providence, Rhode Island","title":"Assessment of factors that influence human water demand for Providence, Rhode Island","docAbstract":"

To determine the most relevant climatic and economic factors driving water demand for Providence, Rhode Island, and to further the understanding of human interactions with water availability, linear regression models were developed to estimate single-family and multifamily residential, commercial, and industrial water demand for the service area of Providence Water for 2014–21. Monthly water use delivery data were provided by Providence Water. An array of climatic and economic data, the drought index, and binary variables to represent seasonal water use and the onset of the coronavirus (COVID–19) were investigated as possible explanatory variables for the water demand models. The water demand model with the best fit with the least amount of error was the single-family residential water demand followed in descending order of accuracy by the commercial, multifamily residential, and industrial water demand. Seasonal variables were significant in all models, and the COVID–19 binary variable was significant in the commercial and industrial models. One or two economic variables were significant in all models and one climatic variable was significant in all models except the commercial model.

Overall residential, commercial, and industrial water demand in the Providence, Rhode Island, service area has decreased during the study period most likely because of widescale drought conditions and policies designed to improve water efficiencies. The linear regression models developed for single-family and multifamily residential, commercial, and industrial water use explained 94, 85, 91, and 77 percent, respectively, of the variability in monthly water use. Multifamily residential water demand displayed a less distinct seasonal trend than that observed for single-family residential customers, likely because multifamily homes tend to use less water outdoors. The commercial water-demand model included no climatic variables, one economic variable, the COVID–19 pandemic variable, and the high and low water use seasonal variables—the latter two variables indicating the importance of seasonal fluctuations in water use. The COVID–19 pandemic and a concomitant State executive order had the immediate effect of severely reducing commercial water use. The industrial water-demand model did not perform as well as the other models because industrial water delivery data display a greater range of values, both seasonally and for the overall study period.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235057","collaboration":"Prepared in cooperation with the Rhode Island Water Resources Board","usgsCitation":"Stagnitta, T.J., and Medalie, L., 2023, Assessment of factors that influence human water demand for Providence, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2023–5057, 18 p., https://doi.org/10.3133/sir20235057.","productDescription":"Report: vi, 18 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-142026","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":419046,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5057/coverthb.jpg"},{"id":500938,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114971.htm","linkFileType":{"id":5,"text":"html"}},{"id":419051,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91H5QOY","text":"USGS data release","linkHelpText":"Data for regression models to estimate water use in Providence, Rhode Island, 2014–2021"},{"id":419050,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5057/images/"},{"id":419049,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5057/sir20235057.XML"},{"id":419048,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235057/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 20023-5057"},{"id":419047,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5057/sir20235057.pdf","text":"Report","size":"1.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 20023-5057"}],"country":"United States","state":"Rhode Island","city":"Providence","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.496115199193,\n 41.87371310909353\n ],\n [\n -71.496115199193,\n 41.785379633702576\n ],\n [\n -71.37573267926174,\n 41.785379633702576\n ],\n [\n -71.37573267926174,\n 41.87371310909353\n ],\n [\n -71.496115199193,\n 41.87371310909353\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","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":"2023-07-18","noUsgsAuthors":false,"publicationDate":"2023-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Stagnitta, Timothy J. 0000-0001-8903-428X","orcid":"https://orcid.org/0000-0001-8903-428X","contributorId":304230,"corporation":false,"usgs":true,"family":"Stagnitta","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":true,"id":878154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medalie, Laura 0000-0002-2440-2149","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":258234,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":878155,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70246624,"text":"ofr20231047 - 2023 - Multiple-well monitoring site within the Poso Creek Oil Field, Kern County, California","interactions":[],"lastModifiedDate":"2026-02-11T21:28:50.272733","indexId":"ofr20231047","displayToPublicDate":"2023-07-18T11:37:02","publicationYear":"2023","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":"2023-1047","displayTitle":"Multiple-Well Monitoring Site Within the Poso Creek Oil Field, Kern County, California","title":"Multiple-well monitoring site within the Poso Creek Oil Field, Kern County, California","docAbstract":"

Introduction

The Poso Creek Oil Field is one of the many fields selected for regional groundwater mapping and monitoring by the California State Water Resources Control Board as part of the Oil and Gas Regional Monitoring Program (RMP; California State Water Resources Control Board, 2015, 2022b; U.S. Geological Survey, 2022a). The U.S. Geological Survey (USGS), in cooperation with the California State Water Resources Control Board, is evaluating several questions about oil and gas development and groundwater resources in California, including (1) the location of groundwater resources; (2) the proximity of oil and gas operations to groundwater and the geologic materials between them; (3) evidence (or no evidence) of fluids from oil and gas sources in groundwater; and (4) the pathways or processes responsible when fluids from oil and gas sources are present in groundwater (U.S. Geological Survey, 2022a). As part of this evaluation, the USGS installed a multiple-well monitoring site within the administrative boundary of the Poso Creek Oil Field about 12 miles north of Bakersfield, California (fig. 1). Data collected at the Poso Creek multiple-well monitoring site (PCCT) provide information about the geology, hydrology, geophysical properties, and water quality of the aquifer system overlying the oil-bearing zone, thus enhancing understanding of relations between adjacent groundwater and the Poso Creek Oil Field in an area where groundwater data are limited, particularly at different depths in the aquifer. This report presents construction information for the PCCT and initial geohydrologic data collected from the site. Similar sites installed on the east side of the Lost Hills Oil Field and North and South Belridge Oil Fields were described by Everett and others (2020a, b).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231047","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Everett, R.R., McMahon, P.B., Stephens, M.J., Gillespie, J.M., Shepherd, M.M., and Fenton, N.C., 2023, Multiple-well monitoring site within the Poso Creek Oil Field, Kern County, California: U.S. Geological Survey Open-File Report 2023-1047, 11 p., https://doi.org/10.3133/ofr20231047.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-143467","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":499783,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114968.htm","linkFileType":{"id":5,"text":"html"}},{"id":418877,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/preview/ofr20231047/full"},{"id":418876,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1047/images"},{"id":418875,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1047/ofr20231047.xml"},{"id":418874,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1047/ofr20231047.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":418873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1047/covrthb.jpg"}],"country":"United States","state":"California","county":"Kern County","otherGeospatial":"Poso Creek Oil Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.02751948230053,\n 35.55715768005527\n ],\n [\n -119.02751948230053,\n 35.37156425616723\n ],\n [\n -118.8051417495576,\n 35.37156425616723\n ],\n [\n -118.8051417495576,\n 35.55715768005527\n ],\n [\n -119.02751948230053,\n 35.55715768005527\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-07-12","noUsgsAuthors":false,"publicationDate":"2023-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":208212,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett","email":"","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":219675,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shepherd, Mackenzie M. 0000-0001-9256-8872","orcid":"https://orcid.org/0000-0001-9256-8872","contributorId":224950,"corporation":false,"usgs":true,"family":"Shepherd","given":"Mackenzie","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fenton, Nicole C. 0000-0002-8220-7181","orcid":"https://orcid.org/0000-0002-8220-7181","contributorId":214992,"corporation":false,"usgs":true,"family":"Fenton","given":"Nicole","email":"","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877421,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70246715,"text":"sir20235077 - 2023 - Comparison of turbidity sensors at U.S. Geological Survey supergages in Indiana from November 2018 to December 2021","interactions":[],"lastModifiedDate":"2026-03-12T20:46:14.625569","indexId":"sir20235077","displayToPublicDate":"2023-07-18T10:30:00","publicationYear":"2023","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":"2023-5077","displayTitle":"Comparison of Turbidity Sensors at U.S. Geological Survey Supergages in Indiana From November 2018 To December 2021","title":"Comparison of turbidity sensors at U.S. Geological Survey supergages in Indiana from November 2018 to December 2021","docAbstract":"

Beginning in September 2010, the U.S. Geological Survey installed continuous water-quality monitors at several streamgages across Indiana as part of a network of supergages to meet cooperator information needs. Two types (or models) of water-quality monitors deployed at each site measured and recorded water temperature, dissolved oxygen, specific conductance, pH, and turbidity every 15 minutes during the study period. Associated discrete water samples were collected at regular intervals and analyzed for concentrations of suspended sediment and total phosphorus. Surrogate regression models were developed between the continuously measured turbidity values and turbidity values in the associated samples to compute continuous concentrations and loads of suspended sediment and total phosphorus. Starting in November 2018, the original extended deployment system monitors were replaced with the newest model of multiparameter water-quality monitors and were equipped with turbidity smart sensors because the older monitors were phased out of production. The updated monitor and smart sensor yield different but relatable turbidity values.

Turbidity data collected concurrently by the two sensors from November 2018 to December 2021 were compared and analyzed to quantify the relation between them at six supergage sites in northwestern Indiana and one site in the town of Zionsville in central Indiana. Ordinary least squares regression was used to calculate site-specific conversion factors so that turbidity data from the newer monitors can be used in published surrogate models based on the older monitor data. Regression analyses explained approximately 98 percent of the variation in turbidity readings between the two sensors. From these analyses, conversion factors were developed that may be applied to older turbidity readings to calculate near real-time concentrations of phosphorus and suspended sediment.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235077","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Iroquois River Conservancy District, Kankakee River Basin and Yellow River Basin Development Commission, and the Town of Zionsville","usgsCitation":"Messner, M.L., Perkins, M.K., and Bunch, A.R., 2023, Comparison of turbidity sensors at U.S. Geological Survey supergages in Indiana from November 2018 to December 2021: U.S. Geological Survey Scientific Investigations Report 2023–5077, 13 p., https://doi.org/10.3133/sir20235077.","productDescription":"Report: iv, 13 p.; Dataset","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129902","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":501040,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114970.htm","linkFileType":{"id":5,"text":"html"}},{"id":419012,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System","linkHelpText":"- U.S. Geological Survey water data for the nation"},{"id":419011,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5077/images/"},{"id":419010,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5077/sir20235077.XML"},{"id":419009,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235077/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5077"},{"id":419008,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5077/sir20235077.pdf","text":"Report","size":"3.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5077"},{"id":419007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5077/coverthb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Kankakee River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.47825888394271,\n 41.7055943665263\n ],\n [\n -87.47825888394271,\n 40.75718260396678\n ],\n [\n -86.31031406433961,\n 40.75718260396678\n ],\n [\n -86.31031406433961,\n 41.7055943665263\n ],\n [\n -87.47825888394271,\n 41.7055943665263\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd.
Indianapolis, IN 46278

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-07-18","noUsgsAuthors":false,"publicationDate":"2023-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Messner, Madelyn L. 0000-0002-3469-8852","orcid":"https://orcid.org/0000-0002-3469-8852","contributorId":316695,"corporation":false,"usgs":true,"family":"Messner","given":"Madelyn","email":"","middleInitial":"L.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":878073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, Mary Kate 0000-0002-8955-2615","orcid":"https://orcid.org/0000-0002-8955-2615","contributorId":302624,"corporation":false,"usgs":true,"family":"Perkins","given":"Mary","email":"","middleInitial":"Kate","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":878074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":878075,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247692,"text":"70247692 - 2023 - Water quality impacts of climate change, land use, and population growth in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2023-12-20T17:47:57.414032","indexId":"70247692","displayToPublicDate":"2023-07-18T08:53:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Water quality impacts of climate change, land use, and population growth in the Chesapeake Bay watershed","docAbstract":"

The 2010 Chesapeake Bay Total Maximum Daily Load was established for the water quality and ecological restoration of the Chesapeake Bay. In 2017, the latest science, data, and modeling tools were used to develop revised Watershed Implementation Plans (WIPs). In this article, we examine the vulnerability of the Chesapeake Bay watershed to the combined pressures of climate change and growth in population, agricultural intensity, and economic activity for the 60-year period 1995–2055. The results will be used to revise WIPs, as needed, to account for expected increases in loads. Assessing changes relative to 1995 for the years 2025, 2035, 2045, and 2055, mean annual precipitation increases of 3.11%, 4.21%, 5.34%, and 6.91%, respectively, air temperature increases of 1.12, 1.45, 1.84, and 2.12°C, respectively, and potential evapotranspiration increases of 3.36%, 4.43%, 5.54%, and 6.35%, respectively, are projected. Population in the watershed is expected to grow by 3.5 million between 2025 and 2055. Watershed model results show incremental increases in streamflow (2.3%–6.2%), nitrogen (2.6%–10.8%), phosphorus (4.5%–26.7%), and sediment (3.8%–18.8%) loads to the tidal Bay due to climate change. Growth in population, agricultural intensity, development, and economic activity resulted in relatively smaller increases in loads compared to climate change.

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University","active":true,"usgs":false}],"preferred":false,"id":880052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":880053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":880054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":880055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tian, Richard 0000-0002-9416-8669","orcid":"https://orcid.org/0000-0002-9416-8669","contributorId":261309,"corporation":false,"usgs":false,"family":"Tian","given":"Richard","email":"","affiliations":[{"id":52807,"text":"U.S. Environmental Protection Agency Chesapeake Bay Program","active":true,"usgs":false}],"preferred":false,"id":880056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rigelman, Jessica","contributorId":267328,"corporation":false,"usgs":false,"family":"Rigelman","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":880057,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hinson, Kyle E. 0000-0002-2737-2379","orcid":"https://orcid.org/0000-0002-2737-2379","contributorId":306024,"corporation":false,"usgs":false,"family":"Hinson","given":"Kyle","email":"","middleInitial":"E.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":880058,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Claggett, Peter 0000-0002-5335-2857","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":238920,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":880059,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70254457,"text":"70254457 - 2023 - Sexual dimorphism in endangered Jemez Mountains Salamanders (Plethodon neomexicanus)","interactions":[],"lastModifiedDate":"2024-05-28T11:26:18.281398","indexId":"70254457","displayToPublicDate":"2023-07-17T06:23:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Sexual dimorphism in endangered Jemez Mountains Salamanders (Plethodon neomexicanus)","docAbstract":"

Sex ratio is a key demographic characteristic indicative of the condition of populations. Despite over 70 yr of study, researchers have not fully evaluated morphological characteristics that differentiate sex in Jemez Mountains Salamanders (Plethodon neomexicanus; federally endangered). Populations of this endemic salamander, which are distributed in north-central New Mexico, have undergone declines in the past two decades. We assessed morphological characters of 160 preserved P. neomexicanus specimens, evaluated our ability to infer sex in the field, and tested our ability to determine sex on a subset of preserved specimens. In preserved salamanders with body length (i.e., postcloaca snout–vent length, SVLp) ≥ 55 mm, females exhibited greater total length, trunk length, tail length, and cloaca length, and males exhibited greater precloacal tail width, head length, head width, and head height. We documented weakly female-biased size dimorphism. Females with SVLp ≥ 52 mm had cloacal rugae, whereas males with SVLp ≥ 51 mm had distinct papillose tissue in the cloaca and a cloacal cleft. In an evaluation of 30 preserved specimens, we correctly inferred sex in 97% of salamanders by cloacal characters alone. Of 29 adult salamanders captured in the field, we confidently inferred the sex of 27 individuals (16 females, 11 males) with SVL ≥ 44 mm. Thus, sex of most individuals can be correctly inferred in the field by cloacal characters. This information will aid researchers in better understanding population trajectories of this endangered species.

","language":"English","publisher":"BioOne","doi":"10.1670/21-083","usgsCitation":"Karraker, N.E., Loehman, R.A., and Cordova, S., 2023, Sexual dimorphism in endangered Jemez Mountains Salamanders (Plethodon neomexicanus): Journal of Herpetology, v. 57, no. 2, p. 204-210, https://doi.org/10.1670/21-083.","productDescription":"7 p.","startPage":"204","endPage":"210","ipdsId":"IP-135791","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":429312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karraker, Nancy E.","contributorId":150566,"corporation":false,"usgs":false,"family":"Karraker","given":"Nancy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":901447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":901448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cordova, Samantha","contributorId":336934,"corporation":false,"usgs":false,"family":"Cordova","given":"Samantha","email":"","affiliations":[{"id":80917,"text":"Jefferson Middle School","active":true,"usgs":false}],"preferred":false,"id":901449,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70246761,"text":"70246761 - 2023 - Persistence of native riverine fishes downstream from two hydropower dams with contrasting operations","interactions":[],"lastModifiedDate":"2023-11-07T15:09:41.061212","indexId":"70246761","displayToPublicDate":"2023-07-14T07:14:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of native riverine fishes downstream from two hydropower dams with contrasting operations","docAbstract":"
Identifying hydropower dam operations that lessen detrimental effects on downstream fauna could inform conservation strategies for native fishes. We compared occurrence of native fishes in 20 shoal habitats downstream from two differently operated hydropower dams in the Coosa River system, Georgia, USA. Species richness averaged 7 and 11, respectively, in surveys downstream from (1) a hydropeaking dam and (2) a dam with a re-regulation structure that stabilized downstream flows. In contrast, surveys in two nearby reference communities averaged 19 and 24 species. Species persisting downstream from the dams tended toward water-column orientation, larger body size, longer life-span, and greater prevalence in tributary stream collections, compared with missing or rarely captured species. We observed no evidence of recovery toward reference conditions when operations were paused for 28 months at the hydropeaking dam. Our observations suggest that (1) strongly contrasting dam operations can result in similar alterations to native fish assemblages, potentially reflecting effects of thermal alteration by hypolimnetic water release, and (2) periodic dispersal from tributary streams may enhance fish persistence in flow-altered rivers.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0297","usgsCitation":"Freeman, M., Albanese, B., Bumpers, P.M., Hagler, M.M., Nagy, A.J., Freeman, B.J., and Wenger, S., 2023, Persistence of native riverine fishes downstream from two hydropower dams with contrasting operations: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 11, p. 1723-1736, https://doi.org/10.1139/cjfas-2022-0297.","productDescription":"14 p.","startPage":"1723","endPage":"1736","ipdsId":"IP-148155","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":442763,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2022-0297","text":"Publisher Index Page"},{"id":435256,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KSXAGW","text":"USGS data release","linkHelpText":"Native riverine fish occurrences downstream from two hydropower dams with contrasting operations, Georgia, USA"},{"id":419146,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":878203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albanese, Brett","contributorId":146590,"corporation":false,"usgs":false,"family":"Albanese","given":"Brett","email":"","affiliations":[],"preferred":false,"id":878204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bumpers, Phillip M.","contributorId":203871,"corporation":false,"usgs":false,"family":"Bumpers","given":"Phillip","email":"","middleInitial":"M.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":878205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagler, Megan M.","contributorId":203870,"corporation":false,"usgs":false,"family":"Hagler","given":"Megan","email":"","middleInitial":"M.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":878206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagy, Andrew J.","contributorId":316733,"corporation":false,"usgs":false,"family":"Nagy","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":878207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":878208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":878209,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70246570,"text":"70246570 - 2023 - Lake sturgeon population trends in the St. Clair–Detroit River System, 2001–2019","interactions":[],"lastModifiedDate":"2023-09-20T16:20:24.267694","indexId":"70246570","displayToPublicDate":"2023-07-13T09:45:55","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Lake sturgeon population trends in the St. Clair–Detroit River System, 2001–2019","docAbstract":"

Lake Sturgeon Acipenser fulvescens are listed as threatened or endangered in 15 states or provinces within their native range. Accordingly, investments in habitat and population restoration for this species have increased throughout the Great Lakes. To aide evaluation of restoration efficacy, robust population parameters are needed to inform management decisions. The St. Clair – Detroit River System (SCDRS) contains one of the largest self-sustaining Lake Sturgeon populations in the Great Lakes; however recent estimates of population abundance and growth parameters have not been assessed. Our study used baited setline and mark-recapture data collected between 2001 – 2019 to estimate whether the number of Lake Sturgeon captured varied annually and/or with water temperature and whether population abundance and population growth rate varied among three sub-populations located in the SCDRS. Trends in the number of Lake Sturgeon captured on setlines varied among sub-populations and by life stage. Annual trends in the number of Lake Sturgeon captured remained consistent over time in the upper St. Clair River, decreased for adults and increased for subadults in the lower St. Clair River, and increased in the Detroit River. With sub-population abundance of 20,184 (95% CI = 12,533 – 27,816) in the upper St. Clair River/southern Lake Huron, 6,523 (95% CI = 5,720 – 7,327) in the lower St. Clair River, and 6,416 (95% CI = 4,065 – 8,767) in the Detroit River, our study confirms that the SCDRS contains the largest Lake Sturgeon population with unimpeded access to the Great Lakes. The geometric mean population growth rate (λ) for all sub-populations indicated stable populations and ranged from 1.00 – 1.16. Our study provides an updated assessment of Lake Sturgeon population parameters that serve as a baseline to evaluate habitat restoration efforts and inform management of the SCDRS recreational Lake Sturgeon fishery.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10917","usgsCitation":"Chiotti, J., Boase, J., Briggs, A.S., Davis, C., Drouin, R., Hondorp, D.W., Mohr, L., Roseman, E., Thomas, M.V., and Wills, T.C., 2023, Lake sturgeon population trends in the St. Clair–Detroit River System, 2001–2019: North American Journal of Fisheries Management, v. 43, no. 4, p. 1066-1080, https://doi.org/10.1002/nafm.10917.","productDescription":"15 p.","startPage":"1066","endPage":"1080","ipdsId":"IP-137433","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":442766,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10917","text":"Publisher Index Page"},{"id":418800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.37937675719795,\n 41.841019809758876\n ],\n [\n -82.98007655844503,\n 41.97565564942232\n ],\n [\n -82.98651225027805,\n 42.20799521065484\n ],\n [\n -82.38332005697309,\n 42.350470301178746\n ],\n [\n -82.40688308860425,\n 42.584079482850626\n ],\n [\n -82.3163144315291,\n 43.00425817508719\n ],\n [\n -82.6321265850878,\n 43.08619329541759\n ],\n [\n -83.04444510888004,\n 42.572640973304175\n ],\n [\n -83.32788082965169,\n 42.08612558362202\n ],\n [\n -83.37937675719795,\n 41.841019809758876\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Chiotti, Justin A.","contributorId":26629,"corporation":false,"usgs":false,"family":"Chiotti","given":"Justin A.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":877240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":877241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Andrew S 0000-0002-0268-9310","orcid":"https://orcid.org/0000-0002-0268-9310","contributorId":215596,"corporation":false,"usgs":false,"family":"Briggs","given":"Andrew","email":"","middleInitial":"S","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":877242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Chris","contributorId":316266,"corporation":false,"usgs":false,"family":"Davis","given":"Chris","affiliations":[],"preferred":false,"id":877243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drouin, Richard","contributorId":70288,"corporation":false,"usgs":false,"family":"Drouin","given":"Richard","email":"","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":877244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":877245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mohr, Lloyd","contributorId":34001,"corporation":false,"usgs":true,"family":"Mohr","given":"Lloyd","affiliations":[],"preferred":false,"id":877246,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":877247,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thomas, Michael V.","contributorId":195401,"corporation":false,"usgs":false,"family":"Thomas","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":877248,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wills, Todd C.","contributorId":195402,"corporation":false,"usgs":false,"family":"Wills","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":877249,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70248941,"text":"70248941 - 2023 - Impacts of a Cascadia subduction zone earthquake on water levels and wetlands of the lower Columbia River and Estuary","interactions":[],"lastModifiedDate":"2023-09-27T12:07:10.761375","indexId":"70248941","displayToPublicDate":"2023-07-13T07:05:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of a Cascadia subduction zone earthquake on water levels and wetlands of the lower Columbia River and Estuary","docAbstract":"

Subsidence after a subduction zone earthquake can cause major changes in estuarine bathymetry. Here, we quantify the impacts of earthquake-induced subsidence on hydrodynamics and habitat distributions in a major system, the lower Columbia River Estuary, using a hydrodynamic and habitat model. Model results indicate that coseismic subsidence increases tidal range, with the smallest changes at the coast and a maximum increase of ∼10% in a region of topographic convergence. All modeled scenarios reduce intertidal habitat by 24%–25% and shifts ∼93% of estuarine wetlands to lower-elevation habitat bands. Incorporating dynamic effects of tidal change from subsidence yields higher estimates of remaining habitat by multiples of 0–3.7, dependent on the habitat type. The persistent tidal change and chronic habitat disturbance after an earthquake poses strong challenges for estuarine management and wetland restoration planning, particularly when coupled with future sea-level rise effects.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL103017","usgsCitation":"Brand, M., Diefenderfer, H., O'Connor, J., Borde, A., Jay, D., Al-Bahadily, A., McKeon, M., and Talke, S., 2023, Impacts of a Cascadia subduction zone earthquake on water levels and wetlands of the lower Columbia River and Estuary: Geophysical Research Letters, v. 50, no. 14, e2023GL103017, 11 p., https://doi.org/10.1029/2023GL103017.","productDescription":"e2023GL103017, 11 p.","ipdsId":"IP-152586","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":442769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl103017","text":"Publisher Index Page"},{"id":421245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.73290237773512,\n 47.10099262836192\n ],\n [\n -124.73290237773512,\n 44.810109654082595\n ],\n [\n -121.56883987773514,\n 44.810109654082595\n ],\n [\n -121.56883987773514,\n 47.10099262836192\n ],\n [\n -124.73290237773512,\n 47.10099262836192\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"14","noUsgsAuthors":false,"publicationDate":"2023-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Brand, M.W.","contributorId":330189,"corporation":false,"usgs":false,"family":"Brand","given":"M.W.","email":"","affiliations":[{"id":78843,"text":"Pacific Northwest National Laboratory, Coastal Sciences Division, Sequim, WA","active":true,"usgs":false}],"preferred":false,"id":884284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenderfer, H.L.","contributorId":330190,"corporation":false,"usgs":false,"family":"Diefenderfer","given":"H.L.","affiliations":[{"id":78843,"text":"Pacific Northwest National Laboratory, Coastal Sciences Division, Sequim, WA","active":true,"usgs":false}],"preferred":false,"id":884285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":884286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borde, A.B.","contributorId":330191,"corporation":false,"usgs":false,"family":"Borde","given":"A.B.","email":"","affiliations":[{"id":78843,"text":"Pacific Northwest National Laboratory, Coastal Sciences Division, Sequim, WA","active":true,"usgs":false}],"preferred":false,"id":884287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jay, D.A.","contributorId":174832,"corporation":false,"usgs":false,"family":"Jay","given":"D.A.","email":"","affiliations":[{"id":24698,"text":"PSU","active":true,"usgs":false}],"preferred":false,"id":884288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Al-Bahadily, A.","contributorId":330192,"corporation":false,"usgs":false,"family":"Al-Bahadily","given":"A.","email":"","affiliations":[{"id":78845,"text":"Mustansiriyah University, Baghdad, Iraq","active":true,"usgs":false}],"preferred":false,"id":884289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKeon, M.","contributorId":330193,"corporation":false,"usgs":false,"family":"McKeon","given":"M.","email":"","affiliations":[{"id":78846,"text":"Pacific Northwest National Laboratory, Coastal Sciences Division, Sequim, WA.","active":true,"usgs":false}],"preferred":false,"id":884290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Talke, S.A.","contributorId":174831,"corporation":false,"usgs":false,"family":"Talke","given":"S.A.","email":"","affiliations":[{"id":24698,"text":"PSU","active":true,"usgs":false}],"preferred":false,"id":884291,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70247818,"text":"70247818 - 2023 - River geomorphology affects biogeochemical responses to hydrologic events in a large river ecosystem","interactions":[],"lastModifiedDate":"2023-08-21T11:54:49.113964","indexId":"70247818","displayToPublicDate":"2023-07-13T06:50:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"River geomorphology affects biogeochemical responses to hydrologic events in a large river ecosystem","docAbstract":"

Shifts in the frequency and intensity of high discharge events due to climate change may have important consequences for the hydrology and biogeochemistry of rivers. However, our understanding of event-scale biogeochemical dynamics in large rivers lags that of small streams. To fill this gap, we used high-frequency sensor data collected during four consecutive summers from a main channel and backwater site of the Upper Mississippi River. We identified high discharge events and calculated event concentration-discharge responses for both physical-chemical (nitrate, turbidity, and fluorescent dissolved organic matter) and biological (chlorophyll-a and cyanobacteria) constituents using metrics of hysteresis and slope. We found a range of responses across events, particularly for nitrate. Although fluorescent dissolved organic matter (FDOM) and turbidity exhibited more consistent responses across events, contrasting hysteresis metrics indicated that FDOM was flushed to the river from more distant sources than turbidity. Biological responses (chlorophyll a and cyanobacteria) differed more between sites than physical and chemical constituents. Lastly, we found that the event characteristics best explaining concentration responses differed between sites, with event magnitude more frequently related to responses in the main channel, and antecedent wetness conditions associated with response variation in the backwater. Our results indicate that event responses in large rivers are distinct across the diverse habitats and biogeochemical components of a large floodplain river, which has implications for local and downstream ecosystems as the climate shifts.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR033662","usgsCitation":"Waite, T., Jankowski, K.J., Bruesewitz, D., Van Appledorn, M., Johnston, M., Houser, J.N., Baumann, D., and Bennie, B., 2023, River geomorphology affects biogeochemical responses to hydrologic events in a large river ecosystem: Water Resources Research, v. 59, no. 7, e2022WR033662, 20 p., https://doi.org/10.1029/2022WR033662.","productDescription":"e2022WR033662, 20 p.","ipdsId":"IP-144914","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":442771,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2022wr033662","text":"External Repository"},{"id":435257,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FGYHVS","text":"USGS data release","linkHelpText":"Continuous water quality sensor data from the main channel and a backwater of the Upper Mississippi River from 2015-2018"},{"id":419955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.57819589524492,\n 44.068937640692496\n ],\n [\n -91.57819589524492,\n 43.541905498577336\n ],\n [\n -91.11696800511088,\n 43.541905498577336\n ],\n [\n -91.11696800511088,\n 44.068937640692496\n ],\n [\n -91.57819589524492,\n 44.068937640692496\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Waite, Taryn","contributorId":328546,"corporation":false,"usgs":false,"family":"Waite","given":"Taryn","email":"","affiliations":[{"id":78398,"text":"Pacific Northwest National Lab, Colby College","active":true,"usgs":false}],"preferred":false,"id":880568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruesewitz, Denise","contributorId":328547,"corporation":false,"usgs":false,"family":"Bruesewitz","given":"Denise","affiliations":[{"id":51887,"text":"Colby College","active":true,"usgs":false}],"preferred":false,"id":880570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnston, Megan","contributorId":328548,"corporation":false,"usgs":false,"family":"Johnston","given":"Megan","email":"","affiliations":[{"id":40432,"text":"Emory University","active":true,"usgs":false}],"preferred":false,"id":880572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baumann, Douglas","contributorId":328549,"corporation":false,"usgs":false,"family":"Baumann","given":"Douglas","affiliations":[{"id":68293,"text":"University of Wisconsin La Crosse","active":true,"usgs":false}],"preferred":false,"id":880574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bennie, Barbara","contributorId":328550,"corporation":false,"usgs":false,"family":"Bennie","given":"Barbara","affiliations":[{"id":68293,"text":"University of Wisconsin La Crosse","active":true,"usgs":false}],"preferred":false,"id":880575,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70246656,"text":"sir20235070 - 2023 - Spatiotemporal variations in copper, arsenic, cadmium, and zinc concentrations in surface water, fine-grained bed sediment, and aquatic macroinvertebrates in the upper Clark Fork Basin, western Montana—A 20-year synthesis, 1996–2016","interactions":[],"lastModifiedDate":"2026-03-09T17:10:18.876972","indexId":"sir20235070","displayToPublicDate":"2023-07-12T15:04:42","publicationYear":"2023","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":"2023-5070","displayTitle":"Spatiotemporal Variations in Copper, Arsenic, Cadmium, and Zinc Concentrations in Surface Water, Fine-Grained Bed Sediment, and Aquatic Macroinvertebrates in the Upper Clark Fork Basin, Western Montana—A 20-Year Synthesis, 1996–2016","title":"Spatiotemporal variations in copper, arsenic, cadmium, and zinc concentrations in surface water, fine-grained bed sediment, and aquatic macroinvertebrates in the upper Clark Fork Basin, western Montana—A 20-year synthesis, 1996–2016","docAbstract":"

The legacy of mining-related contamination in the upper Clark Fork Basin created an extensive longitudinal gradient in metal concentrations, extending from Silver Bow Creek to Lake Pend Oreille, Idaho. Downstream metal concentrations continue to decline, but, despite such improvements, the ecological health of much of the river remains uncertain. Understanding the long-term consequences of the Clark Fork River mining legacy may be supported by environmental monitoring techniques that include a holistic assessment of biological health or response to define organism exposure to complex contaminant mixtures and the consequences of such exposures. This report presents the spatiotemporal patterns of mining-related contaminants, copper, arsenic, cadmium, and zinc, in surface water, fine-grained bed sediment, and macroinvertebrate (aquatic insect) tissue in the upper Clark Fork from near Butte to Missoula, Montana. Overall, the patterns in water column sample concentrations observed in this study were consistent with previously observed trends, but bed sediment concentrations and concentrations of copper and arsenic varied more in tissue samples among sites. Trace element concentrations, especially copper, often exceeded the chronic aquatic life criteria and consistently exceeded the sediment probable effects level PEL for copper, particularly in the upper and middle river segments. The 20 years considered here were the wettest period since remediation started, and this increase in precipitation may have affected patterns in contaminant concentrations.

Results of this study demonstrated the utility of a continued, comprehensive biomonitoring program to help guide and evaluate future environmental cleanup activities in the Clark Fork. Despite variation in defining complete restoration in these watersheds, using multiple lines of evidence in this study provided quantifiable measures of the timing and completeness of recovery relative to reference conditions. Successful recovery in the Clark Fork may benefit from an adaptive management strategy to continue collecting a comprehensive, multivariate dataset to evaluate whether established goals are being met and for subsequent adjustments and management, as needed.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235070","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Caldwell Eldridge, S.L., and Hornberger, M.I., 2023, Spatiotemporal variations in copper, arsenic, cadmium, and zinc concentrations in surface water, fine-grained bed sediment, and aquatic macroinvertebrates in the upper Clark Fork Basin, western Montana—A 20-year synthesis, 1996–2016: U.S. Geological Survey Scientific Investigations Report 2023–5070, 55 p., https://doi.org/10.3133/sir20235070.","productDescription":"Report: viii, 55 p.; Dataset","numberOfPages":"68","onlineOnly":"Y","ipdsId":"IP-124462","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":500950,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114966.htm","linkFileType":{"id":5,"text":"html"}},{"id":418908,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235070/full"},{"id":418905,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":418904,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5070/images/"},{"id":418903,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5070/sir20235070.XML"},{"id":418902,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5070/sir20235070.pdf","text":"Report","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5070"},{"id":418901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5070/coverthb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Upper Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.19960466889883,\n 47.19600162794333\n ],\n [\n -114.19960466889883,\n 45.651910037647326\n ],\n [\n -110.76235872576048,\n 45.651910037647326\n ],\n [\n -110.76235872576048,\n 47.19600162794333\n ],\n [\n -114.19960466889883,\n 47.19600162794333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-07-12","noUsgsAuthors":false,"publicationDate":"2023-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Caldwell Eldridge, Sara L. 0000-0001-8838-8940 seldridge@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":4981,"corporation":false,"usgs":true,"family":"Caldwell Eldridge","given":"Sara","email":"seldridge@usgs.gov","middleInitial":"L.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":877808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":877809,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70255972,"text":"70255972 - 2023 - Widespread regeneration failure in ponderosa pine forests of the southwestern United States","interactions":[],"lastModifiedDate":"2024-07-11T13:35:51.985737","indexId":"70255972","displayToPublicDate":"2023-07-12T08:28:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Widespread regeneration failure in ponderosa pine forests of the southwestern United States","docAbstract":"

As climate changes in coming decades, ponderosa pine forest persistence may be increasingly dictated by their regeneration. Sustained regeneration failure has been predicted for forests of the southwestern US (SWUS) even in absence of stand-replacing wildfire, but regeneration in undisturbed and lightly disturbed forests has been studied infrequently and at a limited number of locations. We characterized 77 ponderosa pine sites in 7 SWUS locations, documented regeneration occurring over the past ∼\">∼20 years, and utilized gridded meteorological estimates and water balance modeling to determine the climate and environmental conditions associated with regeneration failure (R0). Of these sites, 29%\">% were R0, illuminating that regeneration failure in these forests is widespread. R0 sites were distinguished by high above- and belowground heat loading, loss of cool-season climate, and high soil moisture variation. Explanatory variables had high accuracy in identifying R0 sites, and illustrate the climate-driven pathway by which regeneration failure has occurred in the SWUS. Regeneration failure has high potential to increase in a warmer, more hydrologically variable climate, and expand regionally from lower to higher latitudes. Yet, we also found that human management interventions were associated with environmental conditions that avoided regeneration failure. To counteract regeneration-associated forest declines, interventions will need to influence climate-driven environmental change by adjusting forest characteristics at local scales. Regeneration failures are a major threat to ponderosa pine forest persistence, and they have potential to intensify and expand in a changing climate.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2023.121208","usgsCitation":"Petrie, M., Hubbard, R.M., Bradford, J., Kolb, T.E., Noel, A.R., Schlaepfer, D.R., Bowen, M., Fuller, L., and Moser, W., 2023, Widespread regeneration failure in ponderosa pine forests of the southwestern United States: Forest Ecology and Management, v. 545, 121208, 13 p., https://doi.org/10.1016/j.foreco.2023.121208.","productDescription":"121208, 13 p.","ipdsId":"IP-152261","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":442782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2023.121208","text":"Publisher Index Page"},{"id":430955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Nevada, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.88234100540745,\n 37.05581076916032\n ],\n [\n -104.24583815503905,\n 38.9431487321456\n ],\n [\n -106.24666332057024,\n 39.8044030231502\n ],\n [\n -108.95797164480376,\n 36.82454106093326\n ],\n [\n -115.40763496916662,\n 36.58313667272253\n ],\n [\n -115.86898184601188,\n 36.398755822605594\n ],\n [\n -111.2925428928894,\n 33.383879484936614\n ],\n [\n -107.31417360931698,\n 31.942417637902594\n ],\n [\n -103.98498689695708,\n 32.13860059994752\n ],\n [\n -105.88234100540745,\n 37.05581076916032\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"545","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Petrie, Matthew D.","contributorId":206328,"corporation":false,"usgs":false,"family":"Petrie","given":"Matthew D.","affiliations":[{"id":37312,"text":"Department of Plant & Environmental Sciences, New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":906178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubbard, Robert M. 0000-0003-2601-1798","orcid":"https://orcid.org/0000-0003-2601-1798","contributorId":334944,"corporation":false,"usgs":false,"family":"Hubbard","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":80290,"text":"USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO 80521, USA","active":true,"usgs":false}],"preferred":false,"id":906179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolb, Tom E.","contributorId":340095,"corporation":false,"usgs":false,"family":"Kolb","given":"Tom","email":"","middleInitial":"E.","affiliations":[{"id":39356,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":906181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noel, Adam Roy 0000-0002-0891-4005","orcid":"https://orcid.org/0000-0002-0891-4005","contributorId":294761,"corporation":false,"usgs":true,"family":"Noel","given":"Adam","email":"","middleInitial":"Roy","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906182,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906183,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bowen, M.A.","contributorId":340096,"corporation":false,"usgs":false,"family":"Bowen","given":"M.A.","email":"","affiliations":[{"id":81462,"text":"USDA Forest Service, Lincoln National Forest, Cloudcroft, NM, USA","active":true,"usgs":false}],"preferred":false,"id":906184,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuller, L.R.","contributorId":340098,"corporation":false,"usgs":false,"family":"Fuller","given":"L.R.","email":"","affiliations":[{"id":81463,"text":"USDA Forest Service, Apache-Sitgreaves National Forest, Springerville, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":906185,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moser, W. Keith","contributorId":298271,"corporation":false,"usgs":false,"family":"Moser","given":"W. Keith","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":906186,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70246687,"text":"70246687 - 2023 - Combining expert knowledge of a threatened trout distribution with sparse occupancy data for climate-related projection","interactions":[],"lastModifiedDate":"2023-07-14T11:48:37.539996","indexId":"70246687","displayToPublicDate":"2023-07-12T06:41:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Combining expert knowledge of a threatened trout distribution with sparse occupancy data for climate-related projection","docAbstract":"

Objective

To evaluate the vulnerability of Bull Trout Salvelinus confluentus to potential climate changes across its range in Oregon, we compiled disparate expert knowledge of the distribution of spawning and rearing and combined these probabilistic statements as data along with documented records of breeding and rearing in a joint occupancy model.

Methods

The joint expert knowledge–occupancy model, which was based on discrete patches of cold water (≤13°C) suitable for spawning and rearing, permitted the association of true occupancy with climate and other explanatory variables while accounting for variation in detection probability. We then applied estimated relationships of patch occupancy with explanatory variables to projected coldwater patch configurations in the years 2040 and 2080.

Result

Projections of the kilometers of occupied coldwater patch in future decades suggest precipitous declines if current relationships of occupancy with environmental variables are maintained. Impacts of climate changes in future decades manifest directly through the outright loss of coldwater patches and increases in winter high flows but also indirectly by increased isolation.

Conclusion

Combining probabilistic statements of species distributions from knowledgeable experts with sparse occupancy data may be a robust and timely alternative when large numbers of repeated occupancy surveys are infeasible.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10905","usgsCitation":"Chelgren, N., Dunham, J., Gunckel, S.L., Hockman-Wert, D.P., and Allen, C.S., 2023, Combining expert knowledge of a threatened trout distribution with sparse occupancy data for climate-related projection: North American Journal of Fisheries Management, v. 43, no. 3, p. 839-858, https://doi.org/10.1002/nafm.10905.","productDescription":"20 p.","startPage":"839","endPage":"858","ipdsId":"IP-139349","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10905","text":"Publisher Index Page"},{"id":418940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Hawaiian coastal wetlands provide important habitat for federally endangered waterbirds and socio-cultural resources for Native Hawaiians. Currently, Hawaiian coastal wetlands are degraded by development, sedimentation, and invasive species and, thus, require restoration. Little is known about their original structure and function due to the large-scale alteration of the lowland landscape since European contact. Here, we used 1) rapid field assessments of hydrology, vegetation, soils, and birds, 2) a comprehensive analysis of endangered bird habitat value, 3) site spatial characteristics, 4) sea-level rise projections for 2050 and 2100 and wetland migration potential, and 5) preferences of the Native Hawaiian community in a GIS site suitability analysis to prioritize restoration of coastal wetlands on the island of Molokaʻi. The site suitability analysis is the first, to our knowledge, to incorporate community preferences, habitat criteria for endangered waterbirds, and sea-level rise into prioritizing wetland sites for restoration. The rapid assessments showed that groundwater is a ubiquitous water source for coastal wetlands. A groundwater-fed, freshwater herbaceous peatland or “coastal fen” not previously described in Hawaiʻi was found adjacent to the coastline at a site being used to grow taro, a staple crop for Native Hawaiians. In traditional ecological knowledge, such a groundwater-fed, agro-ecological system is referred to as a loʻipūnāwai (spring pond). Overall, 39 plant species were found at the 12 sites; 26 of these were wetland species and 11 were native. Soil texture in the wetlands ranged from loamy sands to silt and silty clays and the mean % organic carbon content was 10.93% ± 12.24 (sd). In total, 79 federally endangered waterbirds, 13 Hawaiian coots (‘alae keʻokeʻo; Fulica alai) and 66 Hawaiian stilts (aeʻo; Himantopus mexicanus knudseni), were counted during the rapid field assessments. The site suitability analysis consistently ranked three sites the highest, Kaupapaloʻi o Kaʻamola, Kakahaiʻa National Wildlife Refuge, and ʻŌhiʻapilo Pond, under three different weighting approaches. Site prioritization represents both an actionable plan for coastal wetland restoration and an alternative protocol for restoration decision-making in places such as Hawaiʻi where no pristine “reference” sites exist for comparison.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2023.1212206","usgsCitation":"Drexler, J.Z., Raine, H., Jacobi, J.D., House, S., Lima, P., Haase, W., Dibben-Young, A., and Wolfe, B.T., 2023, A prioritization protocol for coastal wetland restoration on Molokaʻi, Hawaiʻi: Frontiers in Environmental Science, v. 11, 1212206, 19 p., https://doi.org/10.3389/fenvs.2023.1212206.","productDescription":"1212206, 19 p.","ipdsId":"IP-151868","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":442791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2023.1212206","text":"Publisher Index Page"},{"id":419231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Sates","state":"Hawaii","otherGeospatial":"Molokai","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.32066368665434,\n 21.259659773693144\n ],\n [\n -157.31792520913558,\n 21.020418290169815\n ],\n [\n -156.7035934191068,\n 21.020418290169815\n ],\n [\n -156.7035934191068,\n 21.2622119405154\n ],\n [\n -157.32066368665434,\n 21.259659773693144\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":878553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raine, Helen","contributorId":240849,"corporation":false,"usgs":false,"family":"Raine","given":"Helen","email":"","affiliations":[],"preferred":false,"id":878554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":878555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"House, Sally 0000-0002-3398-4742 shouse@usgs.gov","orcid":"https://orcid.org/0000-0002-3398-4742","contributorId":151032,"corporation":false,"usgs":true,"family":"House","given":"Sally","email":"shouse@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":878556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lima, Pulama","contributorId":316859,"corporation":false,"usgs":false,"family":"Lima","given":"Pulama","email":"","affiliations":[{"id":68716,"text":"Ka Ipu Makani, Kaunakakai, HI, USA","active":true,"usgs":false}],"preferred":false,"id":878557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haase, William","contributorId":316860,"corporation":false,"usgs":false,"family":"Haase","given":"William","email":"","affiliations":[{"id":68718,"text":"Moloka‘i Land Trust, PO Box 1884, Kaunakakai, HI, USA","active":true,"usgs":false}],"preferred":false,"id":878558,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dibben-Young, Arleone","contributorId":316861,"corporation":false,"usgs":false,"family":"Dibben-Young","given":"Arleone","email":"","affiliations":[{"id":68719,"text":"Hawaiian Islands Conservation Collective, P.O. Box 1327, Kaunakakai, HI, USA","active":true,"usgs":false}],"preferred":false,"id":878559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wolfe, Brett T.","contributorId":266136,"corporation":false,"usgs":false,"family":"Wolfe","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":54926,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA","active":true,"usgs":false}],"preferred":false,"id":878561,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70248421,"text":"70248421 - 2023 - GRiMeDB: The Global River Database Methane Database of concentrations and fluxes","interactions":[],"lastModifiedDate":"2023-09-12T14:47:36.640208","indexId":"70248421","displayToPublicDate":"2023-07-11T09:37:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"GRiMeDB: The Global River Database Methane Database of concentrations and fluxes","docAbstract":"

Despite their small spatial extent, fluvial ecosystems play a significant role in processing and transporting carbon in aquatic networks, which results in substantial emission of methane (CH4) into the atmosphere. For this reason, considerable effort has been put into identifying patterns and drivers of CH4 concentrations in streams and rivers and estimating fluxes to the atmosphere across broad spatial scales. However, progress toward these ends has been slow because of pronounced spatial and temporal variability of lotic CH4 concentrations and fluxes and by limited data availability across diverse habitats and physicochemical conditions. To address these challenges, we present a comprehensive database of CH4 concentrations and fluxes for fluvial ecosystems along with broadly relevant and concurrent physical and chemical data. The Global River Methane Database (GriMeDB; https://doi.org/10.6073/pasta/f48cdb77282598052349e969920356ef, Stanley et al., 2023) includes 24 024 records of CH4 concentration and 8205 flux measurements from 5029 unique sites derived from publications, reports, data repositories, unpublished data sets, and other outlets that became available between 1973 and 2021. Flux observations are reported as diffusive, ebullitive, and total CH4 fluxes, and GriMeDB also includes 17 655 and 8409 concurrent measurements of concentrations and 4444 and 1521 fluxes for carbon dioxide (CO2) and nitrous oxide (N2O), respectively. Most observations are date-specific (i.e., not site averages), and many are supported by data for 1 or more of 12 physicochemical variables and 6 site variables. Site variables include codes to characterize marginal channel types (e.g., springs, ditches) and/or the presence of human disturbance (e.g., point source inputs, upstream dams). Overall, observations in GRiMeDB encompass the broad range of the climatic, biological, and physical conditions that occur among world river basins, although some geographic gaps remain (arid regions, tropical regions, high-latitude and high-altitude systems). The global median CH4 concentration (0.20 µmol L−1) and diffusive flux (0.44 mmol m-2 d-1) in GRiMeDB are lower than estimates from prior site-averaged compilations, although ranges (0 to 456 µmol L−1 and −136 to 4057 mmol m-2 d-1) and standard deviations (10.69 and 86.4) are greater for this larger and more temporally resolved database. Available flux data are dominated by diffusive measurements despite the recognized importance of ebullitive and plant-mediated CH4 fluxes. Nonetheless, GriMeDB provides a comprehensive and cohesive resource for examining relationships between CH4 and environmental drivers, estimating the contribution of fluvial ecosystems to CH4 emissions, and contextualizing site-based investigations.

","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-15-2879-2023","usgsCitation":"Stanley, E.H., Loken, L.C., Casson, N.J., Oliver, S.K., Sponseller, R.A., Wallin, M.B., Zhang, L., and Rocher-Ros, G., 2023, GRiMeDB: The Global River Database Methane Database of concentrations and fluxes: Earth System Science Data, v. 15, no. 7, p. 2879-2926, https://doi.org/10.5194/essd-15-2879-2023.","productDescription":"48 p.","startPage":"2879","endPage":"2926","ipdsId":"IP-146293","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":442795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-15-2879-2023","text":"Publisher Index Page"},{"id":420723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":882857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casson, Nora J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":882859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882860,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sponseller, Ryan A.","contributorId":329667,"corporation":false,"usgs":false,"family":"Sponseller","given":"Ryan","email":"","middleInitial":"A.","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":882861,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallin, Marcus B.","contributorId":329668,"corporation":false,"usgs":false,"family":"Wallin","given":"Marcus","email":"","middleInitial":"B.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":882862,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Liwei","contributorId":329669,"corporation":false,"usgs":false,"family":"Zhang","given":"Liwei","email":"","affiliations":[{"id":57409,"text":"Peking University","active":true,"usgs":false}],"preferred":false,"id":882863,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rocher-Ros, Gerard","contributorId":329670,"corporation":false,"usgs":false,"family":"Rocher-Ros","given":"Gerard","email":"","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":882864,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70253132,"text":"70253132 - 2023 - Thermography captures the differential sensitivity of dryland functional types to changes in rainfall event timing and magnitude","interactions":[],"lastModifiedDate":"2024-04-19T12:08:14.090033","indexId":"70253132","displayToPublicDate":"2023-07-11T07:05:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Thermography captures the differential sensitivity of dryland functional types to changes in rainfall event timing and magnitude","docAbstract":"
","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.19127","usgsCitation":"Javadian, M., Scott, R.L., Biederman, J.A., Zhang, F., Fisher, J.B., Reed, S., Potts, D.L., Villarreal, M.L., Feldman, A.F., and Smith, W.K., 2023, Thermography captures the differential sensitivity of dryland functional types to changes in rainfall event timing and magnitude: New Phytologist, v. 240, no. 1, p. 114-126, https://doi.org/10.1111/nph.19127.","productDescription":"13 p.","startPage":"114","endPage":"126","ipdsId":"IP-153705","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498671,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/nph.19127","text":"External Repository"},{"id":427942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"240","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Javadian, Mostafa","contributorId":335693,"corporation":false,"usgs":false,"family":"Javadian","given":"Mostafa","affiliations":[{"id":39400,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":899232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Russell L.","contributorId":39875,"corporation":false,"usgs":false,"family":"Scott","given":"Russell","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":899233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biederman, Joel A.","contributorId":201939,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":899234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Fangyue","contributorId":266007,"corporation":false,"usgs":false,"family":"Zhang","given":"Fangyue","email":"","affiliations":[{"id":54855,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, Arizona 85719 ; School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona 85721","active":true,"usgs":false}],"preferred":false,"id":899235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Joshua B.","contributorId":211503,"corporation":false,"usgs":false,"family":"Fisher","given":"Joshua","email":"","middleInitial":"B.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":899236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":899237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Potts, Daniel L.","contributorId":335696,"corporation":false,"usgs":false,"family":"Potts","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":80473,"text":"Biology Department, SUNY Buffalo State, Buffalo, NY, USA","active":true,"usgs":false}],"preferred":false,"id":899238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":899239,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feldman, Andrew F.","contributorId":335697,"corporation":false,"usgs":false,"family":"Feldman","given":"Andrew","email":"","middleInitial":"F.","affiliations":[{"id":80476,"text":"Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD","active":true,"usgs":false}],"preferred":false,"id":899240,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, William K. 0000-0002-5785-6489","orcid":"https://orcid.org/0000-0002-5785-6489","contributorId":239667,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":47959,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":899241,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70245537,"text":"sir20235071 - 2023 - Assessment of salinity retention or mobilization by sediment-retention ponds near Delta, Colorado, 2019","interactions":[],"lastModifiedDate":"2026-03-09T17:12:27.818572","indexId":"sir20235071","displayToPublicDate":"2023-07-10T17:45:00","publicationYear":"2023","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":"2023-5071","displayTitle":"Assessment of Salinity Retention or Mobilization by Sediment-Retention Ponds near Delta, Colorado, 2019","title":"Assessment of salinity retention or mobilization by sediment-retention ponds near Delta, Colorado, 2019","docAbstract":"

Salinity control efforts in the Colorado River Basin have focused on mobilization of salts from irrigated land, but nonirrigated rangelands are also a source of salinity. In particular, lands where soils have formed from the Late Cretaceous Mancos Shale under arid and semiarid climates contain considerable quantities of salt, mainly in the subsurface. Hundreds of thousands of contour furrows and check dams (gully plugs) were constructed by the Bureau of Land Management (BLM) and Bureau of Reclamation in the late 1950s and 1960s to reduce runoff, sedimentation, and salt mobilization from ephemeral stream channels on rangelands. Sediment-retention ponds associated with check dams are dry most of the year, except immediately following substantial rain events. Generally, no maintenance has been performed on these structures, some have degraded over time, and their current and past influence on salinity is poorly understood. To assess the influence of check dams and their associated ponds on salt retention and mobilization, the U.S. Geological Survey, in cooperation with the BLM, conducted a study of such ponds within the Gunnison Gorge National Conservation Area (GGNCA) near Delta, Colorado.

This report includes conceptual models of how sediment-retention ponds function relative to salinity, and a collection of environmental data to evaluate the conceptual models. An inventory of 69 ponds indicated that 38 percent no longer had water holding capacity, and another 20 percent could hold 1 foot or less of water. Check-dam degradation was the main cause, but sediment infill of ponds contributed as well. Water content of soil profiles collected beneath ponds and immediately downstream from check dams indicated little penetration of water below 60 centimeters for most ponds and little evidence for lateral movement of water beneath check dams. Patterns of salt content in the soil profiles indicated no accumulation of salts at the pond surface from evaporating waters and little evidence for salt redistribution in the form of salt bulges or salt depletion curves at intermediate depths. Based on the conceptual models presented and interpretations of data collected by this study, it appears that the sediment-retention ponds in the GGNCA have neither mobilized nor retained substantial quantities of salt during their lifetimes.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235071","collaboration":"Prepared in cooperation with Bureau of Land Management","programNote":"Water Availability and Use Science Program","usgsCitation":"Richards, R.J., Bern, C.R., and Moreno, V., 2023, Assessment of salinity retention or mobilization by sediment-retention ponds near Delta, Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2023–5071, 21 p., https://doi.org/10.3133/sir20235071.","productDescription":"Report: v, 21 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-134766","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":418430,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WZNJL6","text":"USGS data release","linkHelpText":"Data from the assessment of sediment-retention ponds near Delta, Colorado, 2019"},{"id":418428,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5071/coverthb.jpg"},{"id":418429,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5071/sir20235071.pdf","text":"Report","size":"4.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5071"},{"id":500951,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114965.htm","linkFileType":{"id":5,"text":"html"}},{"id":418866,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235071/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5071"},{"id":418837,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5071/sir20235071.xml"},{"id":418836,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5071/images"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.55,\n 38.4\n ],\n [\n -107.55,\n 38.36\n ],\n [\n -107.53,\n 38.36\n ],\n [\n -107.53,\n 38.4\n ],\n [\n -107.55,\n 38.4\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25048, Mail Stop 415
Denver, Colorado 80225

","tableOfContents":"","publishedDate":"2023-07-10","noUsgsAuthors":false,"publicationDate":"2023-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Richards, Rodney J. 0000-0003-3953-984X","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":202708,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moreno, Victoria 0000-0001-8138-9086","orcid":"https://orcid.org/0000-0001-8138-9086","contributorId":312085,"corporation":false,"usgs":false,"family":"Moreno","given":"Victoria","email":"","affiliations":[{"id":67581,"text":"USGS volunteer - University of Texas at El Paso","active":true,"usgs":false}],"preferred":false,"id":876146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70246549,"text":"sir20235075 - 2023 - Potential effects of projected pumping scenarios on future water-table elevations near Kirtland Air Force Base in Albuquerque, New Mexico","interactions":[],"lastModifiedDate":"2026-03-12T20:44:43.104195","indexId":"sir20235075","displayToPublicDate":"2023-07-10T12:38:28","publicationYear":"2023","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":"2023-5075","displayTitle":"Potential Effects of Projected Pumping Scenarios on Future Water-Table Elevations Near Kirtland Air Force Base in Albuquerque, New Mexico","title":"Potential effects of projected pumping scenarios on future water-table elevations near Kirtland Air Force Base in Albuquerque, New Mexico","docAbstract":"

The U.S. Geological Survey, in cooperation with the Air Force Civil Engineer Center, simulated different groundwater pumping scenarios from 2016 to 2050 to determine the potential future changes in groundwater levels in areas around the Kirtland Air Force Base Bulk Fuels Facility and an ethylene dibromide (EDB) plume. Projections of water supply and demand created by the Albuquerque Bernalillo County Water Utility Authority were used to develop the future groundwater pumping scenarios used as inputs for a refined local-scale model within the updated Middle Rio Grande Basin regional model.

The simulated water-table elevations in model cells that contain the EDB plume in the medium demand and medium supply scenario rose 29 feet (ft) until 2035, then remained within 10 ft of that elevation through 2050, whereas the water-table elevations in the high demand and low supply scenario rose about 26 ft until 2035 and then decreased by more than 10 ft. Simulated water-table elevations in the low demand and high supply scenario continued to rise throughout most of the future simulation period and peaked at about 44 ft over the 2016 water-table elevation. All of the scenarios ended the future simulation period with higher simulated water-table elevations than at the beginning of the future simulation period. Simulations that represented the potentially highest and lowest volume of groundwater pumping near the EDB plume by adjusting the spatial distribution of pumping had similar simulated water-table elevations as the nonadjusted scenarios, with maximum water-table elevation changes that only differed by about 2 ft from the nonadjusted scenarios. Consideration should be taken when using these model results to inform decisions because the model results are subject to uncertainty from many different sources, including uncertainty in the future pumping scenarios as well as the model itself because of the simplification of the hydrogeologic system.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235075","issn":"2328-0328","collaboration":"Prepared in cooperation with the Air Force Civil Engineer Center","usgsCitation":"Flickinger, A.K., 2023, Potential effects of projected pumping scenarios on future water-table elevations near Kirtland Air Force Base in Albuquerque, New Mexico: U.S. Geological Survey Scientific Investigations Report 2023–5075, 19 p., https://doi.org/10.3133/sir20235075.","productDescription":"Report: viii, 20 p.; Data Release","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-139484","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501039,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114964.htm","linkFileType":{"id":5,"text":"html"}},{"id":418777,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ENV9EN","text":"USGS data release—Modified multi-node well (MNW2) files used to simulate potential future (2016-2050) water-table elevation change near Kirtland Air Force Base in Albuquerque, New Mexico"},{"id":418776,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5075/images"},{"id":418774,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5075/sir20235075.XML","size":"87.4 KB","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2023-5075 XML"},{"id":418773,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5075/sir20235075.pdf","size":"1.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5075"},{"id":418772,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5075/coverthb.jpg"},{"id":418835,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235075/full","description":"SIR 2023-5075 HTML"}],"country":"United States","state":"New Mexico","otherGeospatial":"Kirtland Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.3,\n 35.3\n ],\n [\n -107.3,\n 34.3\n ],\n [\n -106.0,\n 34.3\n ],\n [\n -106.0,\n 35.3\n ],\n [\n -107.3,\n 35.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

Contact Pubs Warehouse
","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-07-10","noUsgsAuthors":false,"publicationDate":"2023-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Flickinger, Allison K. 0000-0002-8638-2569 aflickinger@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-2569","contributorId":193268,"corporation":false,"usgs":true,"family":"Flickinger","given":"Allison","email":"aflickinger@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":877125,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70246536,"text":"tm9A6.0 - 2023 - Guidelines for field-measured water-quality properties","interactions":[{"subject":{"id":80043,"text":"twri09A6.0 - 2008 - Chapter A6. Section 6.0. General information and guidelines for field-measured water-quality properties","indexId":"twri09A6.0","publicationYear":"2008","noYear":false,"displayTitle":"Chapter A6. Section 6.0. General Information and Guidelines for Field-Measured Water-Quality Properties","title":"Chapter A6. Section 6.0. General information and guidelines for field-measured water-quality properties"},"predicate":"SUPERSEDED_BY","object":{"id":70246536,"text":"tm9A6.0 - 2023 - Guidelines for field-measured water-quality properties","indexId":"tm9A6.0","publicationYear":"2023","noYear":false,"title":"Guidelines for field-measured water-quality properties"},"id":1},{"subject":{"id":70246536,"text":"tm9A6.0 - 2023 - Guidelines for field-measured water-quality properties","indexId":"tm9A6.0","publicationYear":"2023","noYear":false,"displayTitle":"Guidelines for Field-Measured Water-Quality Properties","title":"Guidelines for field-measured water-quality properties"},"predicate":"IS_PART_OF","object":{"id":4912,"text":"twri09A6 - 2008 - Chapter A6. Field Measurements","indexId":"twri09A6","publicationYear":"2008","noYear":false,"title":"Chapter A6. Field Measurements"},"id":2}],"isPartOf":{"id":4912,"text":"twri09A6 - 2008 - Chapter A6. Field Measurements","indexId":"twri09A6","publicationYear":"2008","noYear":false,"title":"Chapter A6. Field Measurements"},"lastModifiedDate":"2023-07-26T13:57:52.269013","indexId":"tm9A6.0","displayToPublicDate":"2023-07-10T12:35:00","publicationYear":"2023","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":"9-A6.0","displayTitle":"Guidelines for Field-Measured Water-Quality Properties","title":"Guidelines for field-measured water-quality properties","docAbstract":"

The “National Field Manual for the Collection of Water-Quality Data” (NFM) provides guidelines and procedures for U.S. Geological Survey (USGS) personnel who collect data used to assess the quality of the Nation’s surface-water and groundwater resources. This chapter, NFM A6.0, provides guidance and protocols for the measurement of field parameters on site, which include the selection of sites and methods for measurement in groundwater and surface water and procedures for measurement and reporting. It updates and supersedes USGS Techniques of Water-Resources Investigations, book 9, chapter A6.0, version 2.0, by Franceska D. Wilde. Field parameters are routinely measured when water samples are collected, are often measured continually at USGS streamgages, and are regularly measured during laboratory and field experiments. The field methods for measuring field parameters described in this chapter are applicable to most natural waters.

Before 2017, the NFM chapters were released in the USGS Techniques of Water-Resources Investigations series. Effective in 2018, new and revised NFM chapters are being released in the USGS Techniques and Methods series; this series change does not affect the content and format of the NFM. More information is in the general introduction to the NFM (USGS Techniques and Methods, book 9, chapter A0) at https://doi.org/10.3133/tm9A0. The authoritative current versions of NFM chapters are available in the USGS Publications Warehouse at https://pubs.er.usgs.gov/. Comments, questions, and suggestions related to the NFM can be addressed to nfm@usgs.gov.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm9A6.0","usgsCitation":"U.S. Geological Survey, 2023, Guidelines for field-measured water-quality properties: U.S. Geological Survey Techniques and Methods, book 9, chap. A6.0 [version 1.1, July 17, 2023), 22 p., https://doi.org/10.3133/tm9A6.0. [Supersedes USGS Techniques of Water-Resources Investigations, book 9, chap. A6.0, version 2.0.]","productDescription":"vi, 22 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-118566","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":418758,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-A0","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":418759,"rank":5,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/mission-areas/water-resources/science/national-field-manual-collection-water-quality-data-nfm","text":"National Field Manual for the Collection of Water-Quality Data (NFM)"},{"id":418755,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/09/a6.0/coverthb2.jpg"},{"id":418757,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/09/a6.0/versionHist.txt","size":"2.70 KB","linkFileType":{"id":2,"text":"txt"}},{"id":418756,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/09/a6.0/tm9a6.0.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 9-A6.0"}],"edition":"Version 1.0: July 10, 2023; Version 1.1: July 17, 2023","contact":"

Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Email: nfm@usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-07-10","revisedDate":"2023-07-17","noUsgsAuthors":false,"publicationDate":"2023-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":152492,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":877087,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70246562,"text":"70246562 - 2023 - Dissolved organic carbon dynamics and fluxes in Mississippi-Atchafalaya deltaic system impacted by an extreme flood event and hurricanes: A multi-satellite approach using Sentinel-2/3 and Landsat-8/9 data","interactions":[],"lastModifiedDate":"2023-07-10T15:42:41.208404","indexId":"70246562","displayToPublicDate":"2023-07-10T10:15:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic carbon dynamics and fluxes in Mississippi-Atchafalaya deltaic system impacted by an extreme flood event and hurricanes: A multi-satellite approach using Sentinel-2/3 and Landsat-8/9 data","docAbstract":"

Transport of riverine and wetland-derived dissolved organic carbon (DOC) spanning tidal wetlands, estuaries, and continental shelf waters functionally connects terrestrial and aquatic carbon reservoirs, yet the magnitude and ecological significance of this variable and its spatiotemporal linkage remains uncertain for coastal deltaic regions, such as Mississippi River Delta Plain, which includes Mississippi (MR) and Atchafalaya (AR) rivers and estuaries with vast expanses of wetlands and coastal forests. We examined DOC dynamics and fluxes in this large river-dominated wetland-estuarine system for the period between 2019 and 2021 that included an extreme river flood event in 2019, two major hurricanes (Barry in 2019 and Ida in 2021), and cold front passage using an improved adaptive quasi-analytical algorithm (QAA-AD) applied to multi-satellite sensors (Sentinel 3A/B OLCI, Landsat-8/OLI and Sentinel-2A/B MSI) with varying spectral and spatial (10/30/300 m) resolutions. The DOC estimates from multi-satellite sensors in combination with water fluxes were used to assess DOC fluxes from two large rivers (MR and AR) and small channels across the delta plain. Overall, this system delivered a total of 6.7 Tg C yr-1 (1 Tg = 1012g) into the estuarine zone and the northern Gulf of Mexico (nGoM) during 2019. High DOC fluxes from the AR (1.3 Tg C yr-1) and MR (4.5 Tg C yr-1) were associated with the extreme flood event in 2019. Hurricanes that occurred in the study period also contributed to the wetland and estuarine DOC fluxes into continental shelf waters; for example, the passage of Hurricane Barry in July 2019, delivered over a 3-day period ~1.33 ×109 g DOC from Barataria Basin into the nGoM. Sentinel 2-MSI land and water classification revealed that Hurricane Ida eroded a total of 1.34×108 m2 of marshes in middle Barataria Basin, converting those habitats into open water with 3.0 m inundation depth and high DOC concentrations (16.4 mg L-1), a potentially large DOC source to the coastal waters. Overall, storms and flood events are major sources of DOC flux that facilitate transport of upstream carbon as well as transformation of carbon in the wetlands, through the conversion of vegetated wetland to open water.

","language":"English","publisher":"Frontiers Media S.A.","doi":"10.3389/fmars.2023.1159367","usgsCitation":"Liu, B., D’Sa, E.J., Messina, F., Baustian, M.M., Maiti, K., Rivera-Monroy, V.H., Huang, W., and Georgiou, I.Y., 2023, Dissolved organic carbon dynamics and fluxes in Mississippi-Atchafalaya deltaic system impacted by an extreme flood event and hurricanes: A multi-satellite approach using Sentinel-2/3 and Landsat-8/9 data: Frontiers in Marine Science, v. 10, 1159367, 24 p., https://doi.org/10.3389/fmars.2023.1159367.","productDescription":"1159367, 24 p.","ipdsId":"IP-148973","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":442812,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2023.1159367","text":"Publisher Index Page"},{"id":418810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River, Mississippi River, Mississippi River Delta Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.31893133610087,\n 30.458926156651998\n ],\n [\n -92.31893133610087,\n 27.86368380104267\n ],\n [\n -89.10966256396617,\n 27.86368380104267\n ],\n [\n -89.10966256396617,\n 30.458926156651998\n ],\n [\n -92.31893133610087,\n 30.458926156651998\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":877207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Sa, Eurico J.","contributorId":316255,"corporation":false,"usgs":false,"family":"D’Sa","given":"Eurico","email":"","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":877208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Messina, Francesca","contributorId":316256,"corporation":false,"usgs":false,"family":"Messina","given":"Francesca","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":877209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":877210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maiti, Kanchan","contributorId":316257,"corporation":false,"usgs":false,"family":"Maiti","given":"Kanchan","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":877211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rivera-Monroy, Victor H. 0000-0003-2804-4139","orcid":"https://orcid.org/0000-0003-2804-4139","contributorId":200322,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":877212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Wei","contributorId":316258,"corporation":false,"usgs":false,"family":"Huang","given":"Wei","email":"","affiliations":[{"id":40642,"text":"Oak Ridge National Lab","active":true,"usgs":false}],"preferred":false,"id":877213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Georgiou, Ioannis Y.","contributorId":205361,"corporation":false,"usgs":false,"family":"Georgiou","given":"Ioannis","email":"","middleInitial":"Y.","affiliations":[{"id":37089,"text":"Pontchartrain Institute for Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":877214,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70246625,"text":"70246625 - 2023 - BioLake: A first assessment of lake temperature-derived bioclimatic predictors for aquatic invasive species","interactions":[],"lastModifiedDate":"2023-07-12T12:15:02.02119","indexId":"70246625","displayToPublicDate":"2023-07-10T07:10:53","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"BioLake: A first assessment of lake temperature-derived bioclimatic predictors for aquatic invasive species","docAbstract":"

Aquatic invasive species (AIS) present major ecological and economic challenges globally, endangering ecosystems and human livelihoods. Managers and policy makers thus need tools to predict invasion risk and prioritize species and areas of concern, and they often use native range climate matching to determine whether a species could persist in a new location. However, climate matching for AIS often relies on air temperature rather than water temperature due to a lack of global water temperature data layers, and predictive power of models is seldom evaluated. We developed 12 global lake (water) temperature-derived “BioLake” bioclimatic layers for distribution modeling of aquatic species and compared “climatch” climate matching predictions (from climatchR package) from BioLake with those based on BioClim temperature layers and with a null model. We did this for 73 established AIS in the United States, training the models on their ranges outside of the United States and Canada. Models using either set of climate layers outperformed the null expectation by a similar (but modest) amount on average, but some species were occasionally found in locations with low climatch scores. Mean US climatch scores were higher for most species when using air temperature. Including additional climate layers in models reduced mean climatch scores, indicating that commonly used climatch score thresholds are not absolute but can be context specific and may require calibration based upon climate data used. Although finer resolution global lake temperature data would likely improve predictions, our BioLake layers provide a starting point for aquatic species distribution modeling. Climate matching was most effective for some species that originated at low latitudes or had small ranges. Climatch scores remain useful but limited for predicting AIS risk, perhaps because current ranges seldom fully reflect climatic tolerances (fundamental niches). Managers could consider climate matching as one of a suite of tools that can be used in AIS prioritization.

","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4616","usgsCitation":"Burner, R.C., Daniel, W., Engelstad, P.S., Churchill, C.J., and Erickson, R.A., 2023, BioLake: A first assessment of lake temperature-derived bioclimatic predictors for aquatic invasive species: Ecosphere, v. 14, no. 7, e4616, 15 p., https://doi.org/10.1002/ecs2.4616.","productDescription":"e4616, 15 p.","ipdsId":"IP-145073","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":442816,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4616","text":"Publisher Index Page"},{"id":435259,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96QLN5Y","text":"USGS data release","linkHelpText":"BioLake bioclimatic variables based on ERA5-Land lake temperature estimates 1991-2020"},{"id":435258,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X2XEZL","text":"USGS data release","linkHelpText":"Calculations of BioLake climate data"},{"id":418893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":877422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel, Wesley 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219312,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":877423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engelstad, Peder S.","contributorId":316321,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","email":"","middleInitial":"S.","affiliations":[{"id":68557,"text":"Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":877424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Churchill, Christopher J. 0000-0002-3227-3551 cchurchi@usgs.gov","orcid":"https://orcid.org/0000-0002-3227-3551","contributorId":4099,"corporation":false,"usgs":true,"family":"Churchill","given":"Christopher","email":"cchurchi@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":877426,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249566,"text":"70249566 - 2023 - Predicting inundation dynamics and hydroperiods of small, isolated wetlands using a machine learning approach","interactions":[],"lastModifiedDate":"2023-10-17T11:48:16.544061","indexId":"70249566","displayToPublicDate":"2023-07-10T06:42:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Predicting inundation dynamics and hydroperiods of small, isolated wetlands using a machine learning approach","docAbstract":"

The duration of inundation or saturation (i.e., hydroperiod) controls many wetland functions. In particular, it is a key determinant of whether a wetland will provide suitable breeding habitat for amphibians and other taxa that often have specific hydrologic requirements. Yet, scientists and land managers often are challenged by a lack of sufficient monitoring data to enable the understanding of the wetting and drying dynamics of small depressional wetlands. In this study, we present and evaluate an approach to predict daily inundation dynamics using a large wetland water-level dataset and a random forest algorithm. We relied on predictor variables that described characteristics of basin morphology of each wetland and atmospheric water budget estimates over various antecedent periods. These predictor variables were derived from datasets available over the conterminous United States making this approach potentially extendable to other locations. Model performance was evaluated using two metrics, median hydroperiod and the proportion of correctly classified days. We found that models performed well overall with a median balanced accuracy of 83% on validation data. Median hydroperiod was predicted most accurately for wetlands that were infrequently inundated and least accurate for permanent wetlands. The proportion of inundated days was predicted most accurately in permanent wetlands (99%) followed by frequently inundated wetlands (98%) and infrequently inundated wetlands (93%). This modeling approach provided accurate estimates of inundation and could be useful in other depressional wetlands where the primary water flux occurs with the atmosphere and basin morphology is a critical control on wetland inundation and hydroperiods.

","language":"English","publisher":"Springer","doi":"10.1007/s13157-023-01706-2","usgsCitation":"Riley, J.W., and Stillwell, C.C., 2023, Predicting inundation dynamics and hydroperiods of small, isolated wetlands using a machine learning approach: Wetlands, v. 43, 63, 17 p., https://doi.org/10.1007/s13157-023-01706-2.","productDescription":"63, 17 p.","ipdsId":"IP-140298","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":442823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-023-01706-2","text":"Publisher Index Page"},{"id":421936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.4899373474849,\n 30.03362023784058\n ],\n [\n -84.4899373474849,\n 29.881324089510343\n ],\n [\n -84.31415609748471,\n 29.881324089510343\n ],\n [\n -84.31415609748471,\n 30.03362023784058\n ],\n [\n -84.4899373474849,\n 30.03362023784058\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","noUsgsAuthors":false,"publicationDate":"2023-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Jeffrey W. 0000-0001-5525-3134 jriley@usgs.gov","orcid":"https://orcid.org/0000-0001-5525-3134","contributorId":3605,"corporation":false,"usgs":true,"family":"Riley","given":"Jeffrey","email":"jriley@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillwell, Charles C. 0000-0002-4571-4897","orcid":"https://orcid.org/0000-0002-4571-4897","contributorId":270394,"corporation":false,"usgs":true,"family":"Stillwell","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}