{"pageNumber":"601","pageRowStart":"15000","pageSize":"25","recordCount":165309,"records":[{"id":70210777,"text":"70210777 - 2020 - Factors affecting sampling strategies for design of an effects‐directed analysis for endocrine‐active chemicals","interactions":[],"lastModifiedDate":"2020-07-09T15:18:37.987513","indexId":"70210777","displayToPublicDate":"2020-05-03T08:36:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting sampling strategies for design of an effects‐directed analysis for endocrine‐active chemicals","docAbstract":"Effects‐directed analysis (EDA) is an important tool for identifying unknown bioactive components in a complex mixture. Such an analysis of endocrine‐active chemicals (EACs) from water sources has promising regulatory implications but also unique logistical challenges. We propose a conceptual EDA (framework) based on a critical review of EDA literature and concentrations of common EACs in waste and surface waters. Required water volumes for identification of EACs under this EDA framework were estimated based on bioassay performance (in vitro and in vivo bioassays), limits of quantification by mass spectrometry (MS), and EAC water concentrations. Sample volumes for EDA across the EACs showed high variation in the bioassay detectors, with genistein, bisphenol A, and androstenedione requiring very high sample volumes and ethinylestradiol and 17β‐trenbolone requiring low sample volumes. Sample volume based on the MS detector was far less variable across the EACs. The EDA framework equation was rearranged to calculate detector “thresholds,” and these thresholds were compared with the literature EAC water concentrations to evaluate the feasibility of the EDA framework. In the majority of instances, feasibility of the EDA was limited by the bioassay, not MS detection. Mixed model analysis showed that the volumes required for a successful EDA were affected by the potentially responsible EAC, detection methods, and the water source type, with detection method having the greatest effect on the EDA of estrogens and androgens. The EDA framework, equation, and model we present provide a valuable tool for designing a successful EDA.","language":"English","publisher":"Wiley","doi":"10.1002/etc.4739","usgsCitation":"Brennan, J., Gale, R.W., Alvarez, D.A., Berninger, J., Leet, J.K., Li, Y., Wagner, T., and Tillitt, D.E., 2020, Factors affecting sampling strategies for design of an effects‐directed analysis for endocrine‐active chemicals: Environmental Toxicology and Chemistry, v. 39, no. 7, p. 1309-1324, https://doi.org/10.1002/etc.4739.","productDescription":"16 p.","startPage":"1309","endPage":"1324","ipdsId":"IP-116702","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":456874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4739","text":"Publisher Index Page"},{"id":375849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brennan, Jennifer 0000-0003-0386-3496 jcbrennan@usgs.gov","orcid":"https://orcid.org/0000-0003-0386-3496","contributorId":200181,"corporation":false,"usgs":true,"family":"Brennan","given":"Jennifer","email":"jcbrennan@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gale, Robert W. 0000-0002-8533-141X rgale@usgs.gov","orcid":"https://orcid.org/0000-0002-8533-141X","contributorId":2808,"corporation":false,"usgs":true,"family":"Gale","given":"Robert","email":"rgale@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berninger, Jason P.","contributorId":173602,"corporation":false,"usgs":false,"family":"Berninger","given":"Jason P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":791370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leet, Jessica Kristin 0000-0001-8142-6043","orcid":"https://orcid.org/0000-0001-8142-6043","contributorId":225505,"corporation":false,"usgs":true,"family":"Leet","given":"Jessica","email":"","middleInitial":"Kristin","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791371,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Yan","contributorId":204630,"corporation":false,"usgs":false,"family":"Li","given":"Yan","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":791372,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tyler","contributorId":204107,"corporation":false,"usgs":false,"family":"Wagner","given":"Tyler","affiliations":[{"id":36847,"text":"Pennsylvania Cooperative Fish and Wildlife Research Institute, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":791373,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791374,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70210286,"text":"70210286 - 2020 - Wildfire reveals transient changes to individual traits and population responses of a native bumble bee (<i>Bombus vosnesenskii</i>)","interactions":[],"lastModifiedDate":"2020-08-26T19:07:09.876849","indexId":"70210286","displayToPublicDate":"2020-05-02T09:42:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire reveals transient changes to individual traits and population responses of a native bumble bee (<i>Bombus vosnesenskii</i>)","docAbstract":"1. Fire-induced changes in the abundance and distribution of organisms, especially plants, can alter resource landscapes for mobile consumers driving bottom-up effects on their population sizes, morphologies, and reproductive potential. We expect these impacts to be most striking for obligate visitors of plants, like bees and other pollinators, but these impacts can be difficult to interpret due to the limited information provided by forager counts in the absence of survival or fitness proxies. \n\n2. Increased bumble bee worker abundance is often coincident with the pulses of flowers that follow recent fire. However, it is unknown if observed postfire activity is due to underlying population growth or a stable pool of colonies recruiting more foragers to abundant resource patches. This distinction is necessary for determining the net impact of disturbance on bumble bees: are there population-wide responses or do just a few colonies reap the rewards? \n\n3. We estimated colony abundance before and after fire in burned and unburned areas using a genetic mark-recapture framework. We paired colony abundance estimates with measures of body size, counts of queens, and estimates of foraging and dispersal to assess changes in worker size, reproductive output, and landscape-scale movements. \n\n4. Higher floral abundance following fire not only increased forager abundance, but also the number of colonies from which those foragers came. Importantly, despite a larger population size we also observed increased mean worker size. Two years following fire, queen abundance was higher in both burned and unburned sites, potentially due to the dispersal of queens from burned into unburned areas.  The effects of fire were transient; within two growing seasons, worker abundance was substantially reduced across the entire sampling area and body sizes were similar between burned and unburned sites. \n\n5. Our results reveal how disturbance can temporarily release populations from resource limitation, boosting the genetic diversity, body size, and reproductive output of populations. Given that the effects of fire on bumble bees acted indirectly through pulsed resource availability, it is likely our results are generalizable to other situations, such as habitat restorations, where resource density is enhanced within the landscape.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.13244","usgsCitation":"Mola, J.M., Miller, M.R., O'Rourke, S., and Williams, N.M., 2020, Wildfire reveals transient changes to individual traits and population responses of a native bumble bee (<i>Bombus vosnesenskii</i>): Journal of Animal Ecology, v. 89, no. 8, p. 1799-1810, https://doi.org/10.1111/1365-2656.13244.","productDescription":"12 p.","startPage":"1799","endPage":"1810","ipdsId":"IP-115631","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":456877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13244","text":"Publisher Index Page"},{"id":375181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"University of California McLaughlin Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.43606090545656,\n              38.86116445552303\n            ],\n            [\n              -122.40078449249268,\n              38.86116445552303\n            ],\n            [\n              -122.40078449249268,\n              38.88465260708987\n            ],\n            [\n              -122.43606090545656,\n              38.88465260708987\n            ],\n            [\n              -122.43606090545656,\n              38.86116445552303\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Mola, John Michael 0000-0002-5394-9071","orcid":"https://orcid.org/0000-0002-5394-9071","contributorId":224281,"corporation":false,"usgs":true,"family":"Mola","given":"John","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":789954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Michael R.","contributorId":45796,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12709,"text":"Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":789955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Rourke, Sean M.","contributorId":224282,"corporation":false,"usgs":false,"family":"O'Rourke","given":"Sean M.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":789956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Neal M. 0000-0003-3053-8445","orcid":"https://orcid.org/0000-0003-3053-8445","contributorId":214382,"corporation":false,"usgs":false,"family":"Williams","given":"Neal","email":"","middleInitial":"M.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":789957,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70213227,"text":"70213227 - 2020 - Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces","interactions":[],"lastModifiedDate":"2020-09-15T12:56:38.466452","indexId":"70213227","displayToPublicDate":"2020-05-02T07:41:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces","docAbstract":"Urban green spaces (UGS), like most managed land covers, are getting progressively affected by water scarcity and drought. Preserving, restoring and expanding UGS require sustainable management of green and blue water resources to fulfil evapotranspiration (ET) demand for green plant cover. The heterogeneity of UGS with high variation in their microclimates and irrigation practices builds up the complexity of ET estimation. In oversized UGS, areas too large to be measured with in situ ET methods, remote sensing (RS) approaches of ET measurement have the potential to estimate the actual ET. Often in situ approaches are not feasible or too expensive. We studied the effects of spatial resolution using different satellite images, with high‐, medium‐ and coarse‐spatial resolutions, on the greenness and ET of UGS using Vegetation Indices (VIs) and VI‐based ET, over a 780‐ha urban park in Adelaide, Australia. We validated ET with the ground‐based ET method of Soil Water Balance. Three sets of imagery from WorldView2, Landsat and MODIS, and three VIs including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Enhanced Vegetation Index 2 (EVI2), were used to assess long‐term changes of VIs and ET calculated from the different imagery acquired for this study (2011–2018). We found high correspondence between ET‐MODIS and ET‐Landsat (R2 > 0.99 for all VIs). Landsat‐VIs captured the seasonal changes of greenness better than MODIS‐VIs. We used artificial neural network (ANN) to relate the RS‐ET and ground data, and ET‐MODIS (EVI2) showed the highest correlation (R2 = 0.95 and MSE =0.01 for validation). We found a strong relationship between RS‐ET and in situ measurements, even though it was not explicable by simple regressions; black box models helped us to explore their correlation. The methodology used in this research makes a strong case for the value of remote sensing in estimating and managing ET of green spaces in water‐limited cities.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13790","usgsCitation":"Nouri, H., Nagler, P.L., Borujeni, S.C., Munez, A.B., Alaghmand, S., Noori, B., Galindo, A., and Didan, K., 2020, Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces: Hydrological Processes, v. 34, no. 15, p. 3183-3199, https://doi.org/10.1002/hyp.13790.","productDescription":"17 p.","startPage":"3183","endPage":"3199","ipdsId":"IP-110995","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":456880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13790","text":"Publisher Index Page"},{"id":378390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","city":"Adelaide","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              138.4716796875,\n              -35.06597313798418\n            ],\n            [\n              138.955078125,\n              -35.06597313798418\n            ],\n            [\n              138.955078125,\n              -34.70549341022545\n            ],\n            [\n              138.4716796875,\n              -34.70549341022545\n            ],\n            [\n              138.4716796875,\n              -35.06597313798418\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nouri, Hamideh 0000-0002-7424-5030","orcid":"https://orcid.org/0000-0002-7424-5030","contributorId":16327,"corporation":false,"usgs":true,"family":"Nouri","given":"Hamideh","email":"","affiliations":[],"preferred":false,"id":798683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borujeni, Sattar Chavoshi","contributorId":240671,"corporation":false,"usgs":false,"family":"Borujeni","given":"Sattar","email":"","middleInitial":"Chavoshi","affiliations":[],"preferred":false,"id":798684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munez, Armando Barreto","contributorId":240672,"corporation":false,"usgs":false,"family":"Munez","given":"Armando","email":"","middleInitial":"Barreto","affiliations":[],"preferred":false,"id":798685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alaghmand, Sina","contributorId":172388,"corporation":false,"usgs":false,"family":"Alaghmand","given":"Sina","email":"","affiliations":[{"id":27031,"text":"School of Natural and Built Environments, U. So. Aus and Discipline of Civil Engineering, School Of Engineering, Monash University Malaysia","active":true,"usgs":false}],"preferred":false,"id":798686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noori, Behnaz","contributorId":172392,"corporation":false,"usgs":false,"family":"Noori","given":"Behnaz","email":"","affiliations":[],"preferred":false,"id":798687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galindo, Alejandro","contributorId":240673,"corporation":false,"usgs":false,"family":"Galindo","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":798688,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Didan, Kamel","contributorId":130999,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","email":"","affiliations":[{"id":7204,"text":"University of Arizona, Electrical and Computer Engineering","active":true,"usgs":false}],"preferred":false,"id":798689,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211830,"text":"70211830 - 2020 - Sources of variation in maternal allocation in a long-lived mammal","interactions":[],"lastModifiedDate":"2020-08-07T21:45:00.993214","indexId":"70211830","displayToPublicDate":"2020-05-01T16:43:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sources of variation in maternal allocation in a long-lived mammal","docAbstract":"<p>1.</p><ol class=\"\"><li>Life history theory predicts allocation of energy to reproduction varies with maternal age, but additional maternal features may be important to the allocation of energy to reproduction.</li><li>We aimed to characterize age‐specific variation in maternal allocation and assess the relationship between maternal allocation and other static and dynamic maternal features.</li><li>Mass measurements of 531 mothers and pups were used with Bayesian hierarchical models to explain the relationship between diverse maternal attributes and both the proportion of mass allocated by Weddell seal mothers, and the efficiency of mass transfer from mother to pup during lactation as well as the weaning mass of pups.</li><li>Our results demonstrated that maternal mass was strongly and positively associated with the relative reserves allocated by a mother and a pup's weaning mass but that the efficiency of mass transfer declines with maternal parturition mass. Birthdate was positively associated with proportion mass allocation and pup weaning mass, but mass transfer efficiency was predicted to be highest at the mean birthdate. The relative allocation of maternal reserves declined with maternal age but the efficiency of mass transfer to pups increases, suggestive of selective disappearance of poor‐quality mothers.</li><li>These findings highlight the importance of considering multiple maternal features when assessing variation in maternal allocation.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13243","usgsCitation":"Macdonald, K.R., Rotella, J.J., Garrott, R.A., and Link, W.A., 2020, Sources of variation in maternal allocation in a long-lived mammal: Journal of Animal Ecology, v. 89, no. 8, p. 1927-1940, https://doi.org/10.1111/1365-2656.13243.","productDescription":"14 p.","startPage":"1927","endPage":"1940","ipdsId":"IP-109760","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13243","text":"Publisher Index Page"},{"id":377211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Macdonald, Kaitlin R.","contributorId":237774,"corporation":false,"usgs":false,"family":"Macdonald","given":"Kaitlin","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":795273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":795274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrott, Robert A.","contributorId":171537,"corporation":false,"usgs":false,"family":"Garrott","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":795275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795276,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209775,"text":"sim3456 - 2020 - Elevation and elevation-change maps of Fountain Creek, southeastern Colorado, 2015–19","interactions":[],"lastModifiedDate":"2021-10-29T18:54:38.458013","indexId":"sim3456","displayToPublicDate":"2020-05-01T13:45:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3456","displayTitle":"Elevation and Elevation-Change Maps of Fountain Creek, Southeastern Colorado, 2015–19","title":"Elevation and elevation-change maps of Fountain Creek, southeastern Colorado, 2015–19","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has been collecting topographic data at 10 study areas along Fountain Creek, Colorado, annually since 2012. The 10 study areas are located between Colorado Springs and the terminus of Fountain Creek at the Arkansas River in Pueblo. The purpose of this report is to present elevation maps based on topographic surveys collected in 2015 and 2019 and to present maps of elevation change that occurred between 2015 and 2019 at all 10 study areas. Elevation and elevation-change maps were developed in ArcGIS from topographic surveys collected at each study area using real-time kinematic Global Navigation Satellite Systems during the winter months (January through April) of 2015 and 2019. Elevation-change maps were created using statistically defined minimum levels of change detection asso-ciated with the 68-percent confidence limit and the 95-percent confidence limit. Study areas along Fountain Creek underwent a range of geomorphic responses between 2015 and 2019 that often depended on the dominant channel pattern of the study area. The results of this ongoing monitoring effort can be used to assess long-term changes in land-surface elevation and to advance understanding of the geomorphic response to possible alterations in flow conditions on Fountain Creek. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3456","collaboration":"Prepared in cooperation with Colorado Springs Utilities","usgsCitation":"Hempel, L., 2020, Elevation and elevation-change maps of Fountain Creek, southeastern Colorado, 2015–19:  \nU.S. Geological Survey Scientific Investigations Map 3456, 10 sheets, 9 p., https://doi.org/10.3133/sim3456.","productDescription":"Report: vi, 9 p.; 11 Sheets: 12.20 x 13.45 inches or smaller; Read Me; Data Release","onlineOnly":"Y","ipdsId":"IP-112462","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":391173,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3481","text":"Elevation and Elevation-Change Maps of Fountain Creek, Southeastern Colorado, 2015–20"},{"id":374401,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R00MWF","text":"USGS data release","linkHelpText":"Topographic and Sediment Size Data from Fountain Creek between Colorado Springs and the Confluence with the Arkansas River, Colorado, 2019"},{"id":374374,"rank":14,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_ReadMe.txt","text":"Read Me","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3456 Read Me"},{"id":374298,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet9.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 09","size":"39.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 09","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374296,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet7.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 07","size":"32.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 07","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374295,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet6.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 06","size":"33.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 06","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374297,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet8.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 08","size":"41.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 08","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374291,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet2.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 02","size":"30.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 02","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3456/coverthb2.jpg"},{"id":374289,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_pamphlet.pdf","text":"Report","size":"3.58 M","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3456 pamphlet"},{"id":374292,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet3.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 03","size":"30.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 03","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374290,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet1.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 01","size":"34.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 01","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374293,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet4.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 04","size":"32.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 04","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374294,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet5.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 05","size":"33.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Eevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 05","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374299,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet10.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 10","size":"34.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 10","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."},{"id":374300,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheets1to10.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Areas 01-10","size":"345 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Areas 01-10","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC  to access interactive layers."}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.00457763671874,\n              38.35027253825765\n            ],\n            [\n              -104.5404052734375,\n              38.35027253825765\n            ],\n            [\n              -104.5404052734375,\n              39.15988184949157\n            ],\n            [\n              -105.00457763671874,\n              39.15988184949157\n            ],\n            [\n              -105.00457763671874,\n              38.35027253825765\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/co-water/\" data-mce-href=\"http://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Elevation-Change Maps and Geomorphic Changes</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2020-05-01","noUsgsAuthors":false,"publicationDate":"2020-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hempel, Laura A. 0000-0001-5020-6056","orcid":"https://orcid.org/0000-0001-5020-6056","contributorId":224286,"corporation":false,"usgs":true,"family":"Hempel","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787958,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70227879,"text":"70227879 - 2020 - Prioritizing uncertainties to improve management of a reintroduction program","interactions":[],"lastModifiedDate":"2022-02-02T14:33:56.092155","indexId":"70227879","displayToPublicDate":"2020-05-01T10:58:59","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Prioritizing uncertainties to improve management of a reintroduction program","docAbstract":"<p>The success of wildlife reintroduction efforts rests on the demographic performance of released animals. Whooping Cranes in the eastern migratory population—reintroduced beginning in 2001—demonstrate adequate survival but poor reproduction. Managers and scientists have used an iterative process of learning and management to respond to this management challenge, but by 2015, uncertainty about the causes of reproductive failure remained substantial. An expert judgment–driven process was used to develop and refine competing hypotheses for reproductive failure and to evaluate the impact of various management actions on components of reproduction (nesting success and fledging success) in light of the various hypotheses. I used that information to calculate value of information, the expected improvement in management performance associated with an increase in knowledge, which suggests research and monitoring priorities for the future.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Structured decision making: Case studies in natural resource management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Converse, S.J., 2020, Prioritizing uncertainties to improve management of a reintroduction program, chap. 20 <i>of</i> Structured decision making: Case studies in natural resource management, p. 214-224.","productDescription":"11 p.","startPage":"214","endPage":"224","ipdsId":"IP-093976","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832500,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832501,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832502,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":832503,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832456,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70227882,"text":"70227882 - 2020 - Reserve network design for prairie-dependent taxa in South Puget Sound","interactions":[],"lastModifiedDate":"2022-02-01T16:49:39.251106","indexId":"70227882","displayToPublicDate":"2020-05-01T10:42:30","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Reserve network design for prairie-dependent taxa in South Puget Sound","docAbstract":"Conserving species requires managing threats, including habitat loss. One approach to managing habitat loss is to identify and protect habitat in networks of reserves. Reserve network design is a type of resource allocation problem: how can we choose the most effective reserve network design given available resources? We undertook development and implementation of a patch dynamics model to allow us to evaluate proposed reserve networks in terms of ability to sustain populations of several taxa that are dependent on native prairie in the South Puget Sound region of Washington, USA. We used expert input to build a patch dynamics model for each taxon and used the model to examine probability of persistence in 50 years under a variety of reserve network designs, including the existing reserve network. Results suggest that the existing reserve network offers varying levels of protection for the different taxa, from desirable (>90% certain that the probability of persistence is ≥75% in 50 years) to negligible. We identified a reserve network that was >90% certain to protect all 6 taxa of interest, which would require a combination of land protection and translocations of taxa to new or existing reserves. Post hoc, we also identified possible hybrid alternatives, involving addition of new reserves and growth of existing reserves, that protected all 6 taxa without translocations. The approach we demonstrate is technically tractable and allows for the evaluation of any proposed reserve network design, thereby allowing a decision maker to evaluate a set of reserve networks that meet resource constraints and determine which of those best meets conservation objectives.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Structured decision making: Case studies in natural resource management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Converse, S.J., Gardner, B., and Morey, S., 2020, Reserve network design for prairie-dependent taxa in South Puget Sound, chap. 11 <i>of</i> Structured decision making: Case studies in natural resource management, p. 124-134.","productDescription":"11 p.","startPage":"124","endPage":"134","ipdsId":"IP-093988","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":395212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"South Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.2,\n              47.040182144806664\n            ],\n            [\n              -122.178955078125,\n              47.040182144806664\n            ],\n            [\n              -122.178955078125,\n              47.99727386804474\n            ],\n            [\n              -123.2,\n              47.99727386804474\n            ],\n            [\n              -123.2,\n              47.040182144806664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832496,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832497,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":261354,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832498,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":832499,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":832458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morey, Steve","contributorId":147048,"corporation":false,"usgs":false,"family":"Morey","given":"Steve","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":832459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228873,"text":"70228873 - 2020 - Decision analysis of restoration actions for faunal conservation and other stakeholder values: Dauphin Island, Alabama","interactions":[],"lastModifiedDate":"2022-03-15T15:25:19.67265","indexId":"70228873","displayToPublicDate":"2020-05-01T09:56:37","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Decision analysis of restoration actions for faunal conservation and other stakeholder values: Dauphin Island, Alabama","docAbstract":"Dauphin Island is a barrier island located in the northern Gulf of Mexico and serves as\nthe only barrier island providing protection to much of the State of Alabama’s coastal natural\nresources. The ecosystem spans over 3,500 acres of barrier island habitat including, beach, dune, overwash fans, intertidal wetlands, maritime forest and freshwater ponds. In addition, Dauphin Island provides protection to approximately one-third of the Mississippi Sound estuarine habitats in its lee including oyster reefs, mainland marshes and seagrasses. The habitat supports a variety of species including at least 347 species of birds, some of which are Federally or State listed species that either pass through or reside on the island. The island enhances the region’s recreational and commercial fishery habitat through maintenance and protection of water quality in the sound and adjacent nearshore habitats. Dauphin Island also serves as the location for cultural resources, the United States Air Force’s (USAF) early warning radar station, the State’s marine education facilities, infrastructure for the oil and gas industry, and a vibrant tourism economy. Consequently, anthropogenic actions (e.g., structural changes) and externally driven natural factors (e.g., storms and sea level rise) that impact Dauphin Island could affect both the conservation and economic value of the island.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70228873","usgsCitation":"Irwin, E.R., Ouellette Coffman, K., Godsey, E.S., Enwright, N., Lloyd, M., Joyner, K., and Lai, Q.T., 2020, Decision analysis of restoration actions for faunal conservation and other stakeholder values: Dauphin Island, Alabama, xiv, 107 p., https://doi.org/10.3133/70228873.","productDescription":"xiv, 107 p.","ipdsId":"IP-118824","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":397115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":396321,"type":{"id":11,"text":"Document"},"url":"https://gom.usgs.gov/DauphinIsland/data/ALDecisionAnalysis_AppJ.pdf"},{"id":397114,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://gom.usgs.gov/DauphinIsland/Reports.aspx"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.07241439819336,\n              30.24853922017171\n            ],\n            [\n              -88.09249877929688,\n              30.261736090037477\n            ],\n            [\n              -88.11532974243164,\n              30.267814950364478\n            ],\n            [\n              -88.15361022949219,\n              30.26336704072365\n            ],\n            [\n              -88.2143783569336,\n              30.25076353594852\n            ],\n            [\n              -88.21249008178711,\n              30.24542509348503\n            ],\n            [\n              -88.15034866333008,\n              30.247352897833554\n            ],\n            [\n              -88.12940597534178,\n              30.244387029323946\n            ],\n            [\n              -88.11687469482422,\n              30.227628190725536\n            ],\n            [\n              -88.07344436645508,\n              30.244387029323946\n            ],\n            [\n              -88.07241439819336,\n              30.24853922017171\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":835747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ouellette Coffman, K.","contributorId":279939,"corporation":false,"usgs":false,"family":"Ouellette Coffman","given":"K.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":835748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godsey, E. S.","contributorId":279940,"corporation":false,"usgs":false,"family":"Godsey","given":"E.","email":"","middleInitial":"S.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":835749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":214839,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":835750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lloyd, M. Clint","contributorId":201477,"corporation":false,"usgs":false,"family":"Lloyd","given":"M. Clint","affiliations":[],"preferred":false,"id":838018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Joyner, K.","contributorId":279941,"corporation":false,"usgs":false,"family":"Joyner","given":"K.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":835751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lai, Q. T.","contributorId":274975,"corporation":false,"usgs":false,"family":"Lai","given":"Q.","email":"","middleInitial":"T.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":835752,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70210795,"text":"70210795 - 2020 - Climate-induced abrupt shifts in structural states trigger delayed transitions in functional states","interactions":[],"lastModifiedDate":"2020-06-25T15:19:11.910151","indexId":"70210795","displayToPublicDate":"2020-05-01T09:45:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced abrupt shifts in structural states trigger delayed transitions in functional states","docAbstract":"<p><span>Theoretical models suggest that ecosystems can be found in one of several possible alternative stable states, and a shift in structural stable state (SSS) can trigger a change in functional stable state (FSS). But we still lack the empirical evidence to confirm these states and transitions, and to inform the rates of change. Here, a 30-yr dataset from long-term ungrazed and grazed temperate grasslands was analyzed to determine whether abrupt transitions of SSS and FSS can occur. We found that the long-term ungrazed grassland experienced abrupt transitions in the dominant plant functional type (shift in SSS) that was followed by a transition between carbon sink and source 1–2&nbsp;year later (shift in FSS). A directional shift in precipitation and temperature accounted for 40% of the variation in the SSS transition, while the SSS transition explained 20% of the variation in the FSS transition. In contrast, no abrupt transitions for SSS and FSS were observed in the long-term moderately grazed grassland. These findings provide important insight into the interacting effects of climate change and livestock grazing on ecosystem transitions in temperate grasslands. Moderate utilization of production in ecosystems that have co-evolved with herbivores can offset structural and functional transitions induced by climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.106468","usgsCitation":"Hao, Y., Liu, W., Xu, X., Munson, S.M., Cui, X., Kang, X., He, N., and Wang, Y., 2020, Climate-induced abrupt shifts in structural states trigger delayed transitions in functional states: Ecological Indicators, v. 115, 106468, 8 p., https://doi.org/10.1016/j.ecolind.2020.106468.","productDescription":"106468, 8 p.","ipdsId":"IP-115093","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":375918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Xilin River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              115.33172607421876,\n              43.058854606434494\n            ],\n            [\n              117.79266357421874,\n              43.058854606434494\n            ],\n            [\n              117.79266357421874,\n              44.05601169578525\n            ],\n            [\n              115.33172607421876,\n              44.05601169578525\n            ],\n            [\n              115.33172607421876,\n              43.058854606434494\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hao, Yanbin","contributorId":225529,"corporation":false,"usgs":false,"family":"Hao","given":"Yanbin","email":"","affiliations":[],"preferred":false,"id":791454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Wenjun","contributorId":225530,"corporation":false,"usgs":false,"family":"Liu","given":"Wenjun","email":"","affiliations":[],"preferred":false,"id":791455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Xingliang","contributorId":225531,"corporation":false,"usgs":false,"family":"Xu","given":"Xingliang","email":"","affiliations":[],"preferred":false,"id":791456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":791457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cui, Xiaoyong","contributorId":225533,"corporation":false,"usgs":false,"family":"Cui","given":"Xiaoyong","email":"","affiliations":[],"preferred":false,"id":791461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kang, Xiaoming","contributorId":225532,"corporation":false,"usgs":false,"family":"Kang","given":"Xiaoming","email":"","affiliations":[],"preferred":false,"id":791458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"He, Nianpeng","contributorId":225534,"corporation":false,"usgs":false,"family":"He","given":"Nianpeng","affiliations":[],"preferred":false,"id":791459,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Yan","contributorId":225535,"corporation":false,"usgs":false,"family":"Wang","given":"Yan","email":"","affiliations":[],"preferred":false,"id":791460,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70228790,"text":"70228790 - 2020 - The relationship between biodiversity and wetland cover varies across regions of the conterminous United States","interactions":[],"lastModifiedDate":"2022-02-21T15:35:17.141252","indexId":"70228790","displayToPublicDate":"2020-05-01T09:21:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The relationship between biodiversity and wetland cover varies across regions of the conterminous United States","docAbstract":"Identifying the factors that determine the spatial distribution of biodiversity is a major focus of ecological research. These factors vary with scale from interspecific interactions to global climatic cycles. Wetlands are important biodiversity hotspots and contributors of ecosystem services, but the association between proportional wetland cover and species richness has shown mixed results. It is not well known as to what extent there is a relationship between proportional wetland cover and species richness, especially at the sub-continental scale. We used the National Wetlands Inventory to model wetland cover for the conterminous United States and the National Land Cover Database to estimate wetland change between 2001 and 2011. We used a Bayesian spatial Poisson model to estimate a spatially varying coefficient surface describing the effect of proportional wetland cover on the distribution of amphibians, birds, mammals, and reptiles and the cumulative distribution of terrestrial endemic species. Species richness and wetland cover were significantly correlated, and this relationship varied both spatially and by taxonomic group. Rather than a continental-scale association, however, we found that this relationship changed more closely among ecoregions. The species richness of each of the five groups was positively associated with wetland cover in some or all of the Great Plains; additionally, a positive association was found for mammals in the Southeastern Plains and Piedmont of the eastern U.S. Model results indicated negative association especially in the Cold Deserts and Northern Lakes & Forests of Minnesota and Wisconsin, though these varied greatly between groups. Our results highlight the need for wetland conservation initiatives that focus efforts at the level II and III ecoregional scale rather than along political boundaries. ","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0232052","usgsCitation":"Dertien, J.S., Self, S., Ross, B., Barrett, K., and Baldwin, R.F., 2020, The relationship between biodiversity and wetland cover varies across regions of the conterminous United States: PLoS ONE, v. 15, no. 5, p. 1-18, https://doi.org/10.1371/journal.pone.0232052.","productDescription":"e0232052, 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-114472","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456890,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0232052","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":835518,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Dertien, Jeremy S.","contributorId":279799,"corporation":false,"usgs":false,"family":"Dertien","given":"Jeremy","email":"","middleInitial":"S.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":835487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self, Stella","contributorId":279800,"corporation":false,"usgs":false,"family":"Self","given":"Stella","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":835488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Beth 0000-0001-5634-4951 bross@usgs.gov","orcid":"https://orcid.org/0000-0001-5634-4951","contributorId":199242,"corporation":false,"usgs":true,"family":"Ross","given":"Beth","email":"bross@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrett, Kyle","contributorId":149401,"corporation":false,"usgs":false,"family":"Barrett","given":"Kyle","email":"","affiliations":[],"preferred":false,"id":835491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldwin, Robert F.","contributorId":96415,"corporation":false,"usgs":true,"family":"Baldwin","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":835489,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70214311,"text":"70214311 - 2020 - First record of pughead deformity in the threatened Clear Lake Hitch","interactions":[],"lastModifiedDate":"2020-09-25T14:06:21.882868","indexId":"70214311","displayToPublicDate":"2020-05-01T09:06:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1153,"text":"California Fish and Game","active":true,"publicationSubtype":{"id":10}},"title":"First record of pughead deformity in the threatened Clear Lake Hitch","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"California Department of Fish and Wildlife","usgsCitation":"Kathan, J.C., Young, M.J., and Feyrer, F.V., 2020, First record of pughead deformity in the threatened Clear Lake Hitch: California Fish and Game, v. 106, no. 2, p. 186-190.","productDescription":"5 p.","startPage":"186","endPage":"190","ipdsId":"IP-111468","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":378744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378741,"type":{"id":15,"text":"Index Page"},"url":"https://wildlife.ca.gov/Publications/Journal/Contents"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.93838500976561,\n              38.91133881927712\n            ],\n            [\n              -122.57858276367186,\n              38.91133881927712\n            ],\n            [\n              -122.57858276367186,\n              39.13432124527173\n            ],\n            [\n              -122.93838500976561,\n              39.13432124527173\n            ],\n            [\n              -122.93838500976561,\n              38.91133881927712\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kathan, Jessica Catherine 0000-0002-3405-4221","orcid":"https://orcid.org/0000-0002-3405-4221","contributorId":241137,"corporation":false,"usgs":true,"family":"Kathan","given":"Jessica","email":"","middleInitial":"Catherine","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228397,"text":"70228397 - 2020 - Using the Delphi process to gather information from a Bald Eagle expert panel","interactions":[],"lastModifiedDate":"2022-02-10T14:49:41.948517","indexId":"70228397","displayToPublicDate":"2020-05-01T08:44:45","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SWAN.NRR-2020/2128","title":"Using the Delphi process to gather information from a Bald Eagle expert panel","docAbstract":"<p>Bald eagle (<i>Haliaeetus leucocephalus</i>) populations are classified by the Southwest Alaska Network (SWAN) of the National Park Service as a vital sign of biological integrity, largely because of their importance as an indicator species for environmental contaminants and human disturbance. Though Bald Eagles are plentiful in Alaska, it is still imperative to have a monitoring plan that allows for the estimation of population sizes and detection of significant changes in populations. Currently, Bald Eagles are monitored in Kenai Fjords National Park, Katmai National Park and Preserve, Lake Clark National Park and Preserve, and Wrangell – St. Elias National Park, but each park uses different monitoring procedures and evaluation criteria. This makes it difficult for scientists and managers to compare data, detect changes in overall populations, and make effective management decisions. Our research is using a formal structured decision-making process to ensure that the Bald Eagle monitoring conducted by the parks is standardized and meets programmatic goals and objectives. We implemented a Delphi process, which is an iterative survey technique that is used to gather expert opinion. We used online questionnaires to gather information and opinions from National Park Service scientists and managers, eagle experts, and other interested parties. We identified important stressors and feasible monitoring metrics, which were tied to the means objectives for the Bald Eagle monitoring program: minimize cost, minimize effort, maximize ability to detect change in populations, and maximize accurate information about Bald Eagles. We will also analyze monitoring metrics using a consequence table, which determines the performance of each objective in terms of the means objectives chosen by expert panelists. This information will help to create a more accurate conceptual model of the system to guide development of a Bald Eagle monitoring program that can be standardized among Southwest Alaska National Parks.</p>","language":"English","publisher":"National Park Service","usgsCitation":"Kolstrom, R., Wilson, T., and Gigliotti, L.M., 2020, Using the Delphi process to gather information from a Bald Eagle expert panel: Natural Resource Report NPS/SWAN.NRR-2020/2128, vii, 57 p.","productDescription":"vii, 57 p.","ipdsId":"IP-111246","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395766,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/640030"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.65429687499997,\n              54.54657953840501\n            ],\n            [\n              -134.736328125,\n              54.54657953840501\n            ],\n            [\n              -134.736328125,\n              61.501734289732326\n            ],\n            [\n              -155.65429687499997,\n              61.501734289732326\n            ],\n            [\n              -155.65429687499997,\n              54.54657953840501\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kolstrom, Rebecca","contributorId":275658,"corporation":false,"usgs":false,"family":"Kolstrom","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":834198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tammy L.","contributorId":275659,"corporation":false,"usgs":false,"family":"Wilson","given":"Tammy L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":834199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834200,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209903,"text":"70209903 - 2020 - Using small unmanned aircraft systems for measuring post-flood high-water marks and streambed elevations","interactions":[],"lastModifiedDate":"2020-05-06T12:20:26.195737","indexId":"70209903","displayToPublicDate":"2020-05-01T07:17:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Using small unmanned aircraft systems for measuring post-flood high-water marks and streambed elevations","docAbstract":"Floods affected approximately two billion people around the world from 1998–2017, causing over 142,000 fatalities and over 656 billion U.S. dollars in economic losses. Flood data, such as the extent of inundation and peak flood stage, are needed to define the environmental, economic, and social impacts of significant flood events. Ground-based global positioning system (GPS) surveys of post-flood high-water marks (HWMs) and topography are commonly used to define flood inundation and stage, but can be time consuming, difficult, and expensive to conduct. Here, we demonstrate and test the use of small unmanned aircraft systems (sUAS) and close-range remote sensing techniques to collect high-accuracy flood data to define peak flood stage elevations and river cross sections. We evaluate the elevation accuracy of the HWMs from sUAS surveys by comparison with traditional GPS surveys, which have acceptable accuracy for many post-flood assessments, at two flood sites on two small streams in the United States. Mean elevation errors for the sUAS surveys were 0.07 m and 0.14 m for the semiarid and temperate sites respectively, and those values are similar to typical errors when measuring HWM elevations with GPS surveys. Results demonstrate that sUAS surveys of HWMs and cross sections can be an inexpensive and efficient alternative to GPS surveys, and we provide insights that can be used to decide whether sUAS or GPS techniques will be most efficient for post-flood surveying.","language":"English","publisher":"MDPI","doi":"10.3390/rs12091437","collaboration":"","usgsCitation":"Forbes, B.T., DeBenedetto, G., Dickinson, J.E., Bunch, C., and Fitzpatrick, F., 2020, Using small unmanned aircraft systems for measuring post-flood high-water marks and streambed elevations: Remote Sensing, v. 12, no. 9, 1437, 22 p., https://doi.org/10.3390/rs12091437.","productDescription":"1437, 22 p.","ipdsId":"IP-115597","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":456891,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12091437","text":"Publisher Index Page"},{"id":437008,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NFR2TQ","text":"USGS data release","linkHelpText":"04087088 - Underwood Creek at Wauwatosa, WI - 2019/07/17 GPS Survey"},{"id":437007,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZNN0Z5","text":"USGS data release","linkHelpText":"04087088 - Underwood Creek at Wauwatosa, WI - 2018/09/14 GPS Survey"},{"id":437006,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TRESCN","text":"USGS data release","linkHelpText":"09487000 - Brawley Wash near Three Points, AZ - 2018/09/19 GPS Survey"},{"id":374485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Forbes, Brandon T. 0000-0003-4051-0593 bforbes@usgs.gov","orcid":"https://orcid.org/0000-0003-4051-0593","contributorId":213549,"corporation":false,"usgs":true,"family":"Forbes","given":"Brandon","email":"bforbes@usgs.gov","middleInitial":"T.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBenedetto, Geoffrey 0000-0003-0696-4567 gdebened@usgs.gov","orcid":"https://orcid.org/0000-0003-0696-4567","contributorId":220988,"corporation":false,"usgs":true,"family":"DeBenedetto","given":"Geoffrey","email":"gdebened@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunch, Claire 0000-0002-1360-8598","orcid":"https://orcid.org/0000-0002-1360-8598","contributorId":220987,"corporation":false,"usgs":true,"family":"Bunch","given":"Claire","email":"","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":173463,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":788561,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210149,"text":"70210149 - 2020 - Individual and population fitness consequences associated with large carnivore use of residential development","interactions":[],"lastModifiedDate":"2020-05-18T12:15:44.247337","indexId":"70210149","displayToPublicDate":"2020-05-01T07:11:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Individual and population fitness consequences associated with large carnivore use of residential development","docAbstract":"Large carnivores are negotiating increasingly developed landscapes, but little is known about how such behavioral plasticity influences their demographic rates and population trends. Some investigators have suggested that the ability of carnivores to behaviorally adapt to human development will enable their persistence, and yet, others have suggested that such landscapes are likely to serve as population sinks or ecological traps. To understand how plasticity in black bear (Ursus americanus) use of residential development influences their population dynamics, we conducted a 6 year study near Durango, Colorado, USA. Using space-use data on individual bears, we examined the influence of use of residential development on annual measures of bear body fat, cub productivity, cub survival and adult female survival, after accounting for variation in natural food availability and individual attributes (e.g., age). We then used our field-based vital rate estimates to parameterize a matrix model that simulated asymptotic population growth for bears using residential development to different degrees. We found that bear use of residential development was highly variable within and across years, with bears increasing their foraging within development when natural foods were scarce. Increased bear use of development was associated with increased body fat and cub productivity, but reduced cub and adult survival. When these effects were simultaneously incorporated into a matrix model we found that the population was projected to decline as bear use of development increased, given that the costs of reduced survival outweighed the benefits of enhanced productivity. Our results provide a mechanistic understanding of how black bear use of residential development exerts opposing effects on different bear fitness traits and a negative effect on population growth, with the magnitude of those effects mediated by variation in environmental conditions. They also highlight the importance of monitoring bear population dynamics, particularly as shifts in bear behavior are likely to drive increases in human-bear conflicts and the perception of growing bear populations. Finally, our work emphasizes the need to consider the demographic viability of large carnivore populations when promoting the coexistence of people and carnivores on shared landscapes.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3098","collaboration":"","usgsCitation":"Johnson, H.E., Lewis, D., and Breck, S., 2020, Individual and population fitness consequences associated with large carnivore use of residential development: Ecosphere, v. 11, no. 5, e03098, 23 p., https://doi.org/10.1002/ecs2.3098.","productDescription":"e03098, 23 p.","ipdsId":"IP-111185","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":456893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3098","text":"Publisher Index Page"},{"id":374882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Durango","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.11370849609375,\n              37.1165261849112\n            ],\n            [\n              -107.66876220703125,\n              37.1165261849112\n            ],\n            [\n              -107.66876220703125,\n              37.398528132728615\n            ],\n            [\n              -108.11370849609375,\n              37.398528132728615\n            ],\n            [\n              -108.11370849609375,\n              37.1165261849112\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":789314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, David Bruce","contributorId":156433,"corporation":false,"usgs":false,"family":"Lewis","given":"David Bruce","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":789315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breck, Stewart","contributorId":199403,"corporation":false,"usgs":false,"family":"Breck","given":"Stewart","affiliations":[],"preferred":false,"id":789316,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222593,"text":"70222593 - 2020 - Risk-targeted alternatives to deterministic ground motion caps in U.S. seismic provisions","interactions":[],"lastModifiedDate":"2021-08-09T12:02:34.873846","indexId":"70222593","displayToPublicDate":"2020-05-01T06:57:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Risk-targeted alternatives to deterministic ground motion caps in U.S. seismic provisions","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Since their inception over 20 years ago, the maximum considered earthquake ground motion maps in U.S. building codes have capped probabilistic values with deterministic ground motions from characteristic earthquakes on known active faults. This practice has increasingly been called into question both because of spatially non-uniform risk levels that are produced (risk being higher mainly in coastal California) and practical difficulties in defining characteristic earthquakes from recent earthquake rupture forecast models. We describe two proposals developed to enable phase-out of deterministic caps. One approach modestly increases collapse risk targets nationwide based on recent information on return periods of characteristic earthquakes on major central and eastern U.S. seismic sources; adoption of this approach would remove the perceived need for caps in California. The second approach uses geographically varying collapse risk targets, being higher near the highly active faults in California and unchanged elsewhere. Neither approach was adopted for the 2020 National Earthquake Hazards Reduction Program recommended seismic<span>&nbsp;</span><i>Provisions</i><span>&nbsp;</span>for new building structures, but they are described in a Part 3 document to accompany the<span>&nbsp;</span><i>Provisions</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Commentary</i>.</p></div></div>","language":"English","publisher":"Sage Publishing","doi":"10.1177/8755293019892010","usgsCitation":"Stewart, J.P., Luco, N., Hooper, J.D., and Crouse, C.B., 2020, Risk-targeted alternatives to deterministic ground motion caps in U.S. seismic provisions: Earthquake Spectra, v. 36, no. 2, p. 904-923, https://doi.org/10.1177/8755293019892010.","productDescription":"20 p.","startPage":"904","endPage":"923","ipdsId":"IP-114191","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n       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           29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                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D","contributorId":261834,"corporation":false,"usgs":false,"family":"Hooper","given":"John","email":"","middleInitial":"D","affiliations":[{"id":40526,"text":"Magnusson Klemencic Associates","active":true,"usgs":false}],"preferred":false,"id":820719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crouse, C. B.","contributorId":199388,"corporation":false,"usgs":false,"family":"Crouse","given":"C.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":820720,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220898,"text":"70220898 - 2020 - Microbiology and oxidation-reduction geochemistry of the water-table and Memphis aquifers in the Allen well field, Shelby County, Tennessee","interactions":[],"lastModifiedDate":"2021-06-02T12:16:57.62","indexId":"70220898","displayToPublicDate":"2020-04-30T14:14:54","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Microbiology and oxidation-reduction geochemistry of the water-table and Memphis aquifers in the Allen well field, Shelby County, Tennessee","docAbstract":"<p>The shallow and Memphis aquifers in Shelby County, Tennessee, are valuable natural resources that are used for domestic, public-supply, and agricultural water use. The Memphis aquifer is the primary source for public supply in West Tennessee and provides 170 to 175 million gallons of water per day for more than 900,000 people (Robinson, 2018). The shallow aquifer includes the unconfined water table, provides domestic water supplies in Shelby County, and is susceptible to contamination from urban and industrial activities, underground storage tanks, old dumps, and other sources. Both aquifers are likely to be stressed in the future by factors such as population increase, contaminant migration from historical contamination sites, industrial and agricultural activities, climate change, and other competing demands on the water resources.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings from the 29th Tennessee water resources symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2020 Tennessee Water Resources Symposium","conferenceDate":"April 22-24, 2020","conferenceLocation":"Burns, TN","language":"English","publisher":"Tennessee section of the American Water Resources Association","usgsCitation":"Byl, T.D., and Bradley, M., 2020, Microbiology and oxidation-reduction geochemistry of the water-table and Memphis aquifers in the Allen well field, Shelby County, Tennessee, <i>in</i> Proceedings from the 29th Tennessee water resources symposium, Burns, TN, April 22-24, 2020, p. 2C-3-2C-24.","productDescription":"22 p.","startPage":"2C-3","endPage":"2C-24","ipdsId":"IP-116089","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":386067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386060,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://tnawra.org/library"}],"country":"United States","state":"Tennessee","county":"Shelby County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.25749206542969,\n              35.003003395276714\n            ],\n            [\n              -89.77890014648436,\n              35.00637800423346\n            ],\n            [\n              -89.76585388183594,\n              35.31568548101236\n            ],\n            [\n              -90.08583068847656,\n              35.285984736065764\n            ],\n            [\n              -90.05287170410156,\n              35.160898088930104\n            ],\n            [\n              -90.07759094238281,\n              35.117100314572774\n            ],\n            [\n              -90.13595581054688,\n              35.126086394372955\n            ],\n            [\n              -90.17578124999999,\n              35.106428057364255\n            ],\n            [\n              -90.17784118652344,\n              35.056418354320755\n            ],\n            [\n              -90.23071289062499,\n              35.01762569539653\n            ],\n            [\n              -90.25749206542969,\n              35.003003395276714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Byl, Thomas D. 0000-0001-6907-9149 tdbyl@usgs.gov","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":583,"corporation":false,"usgs":true,"family":"Byl","given":"Thomas","email":"tdbyl@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Mike 0000-0002-2979-265X mbradley@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-265X","contributorId":582,"corporation":false,"usgs":true,"family":"Bradley","given":"Mike","email":"mbradley@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816645,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70228256,"text":"70228256 - 2020 - Seasonal selection of riverine habitat by Spotted Bass and Shorthead Redhorse in a regulated river in the Midwestern U.S.","interactions":[],"lastModifiedDate":"2022-02-08T20:29:13.325602","indexId":"70228256","displayToPublicDate":"2020-04-30T14:12:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal selection of riverine habitat by Spotted Bass and Shorthead Redhorse in a regulated river in the Midwestern U.S.","docAbstract":"<p><span>Riverine fish populations depend on habitats supporting their resource and life history needs. Dynamic streamflow caused by river regulation or natural events influences the distribution of downstream habitat characteristics. Through studying habitat selection, we can identify the most utilized and valuable habitats for the success of native fishes. We determined seasonal habitat selection of two common, native fish species on the Osage River downstream of Bagnell Dam, a hydroelectric dam in central Missouri, from April 2016 to June 2017 using radio telemetry. Spotted Bass (</span><i>Micropterus punctulatus</i><span>) are nest-guarders, sight feeders, and habitat generalists, whereas Shorthead Redhorse (</span><i>Moxostoma macrolepidotum</i><span>) are fluvial dependent, migratory, and benthic feeders. Bayesian discrete choice analyses determined that both species selected particular water depth, velocity, and presence of submerged cover in some or all seasons, even as available habitat changed. Spotted Bass selected water depths &lt;4.0 m near submerged cover during all seasons, low velocity during spring and summer, and near-bank habitat in all seasons except spring. Shorthead Redhorse used fast flowing habitat during spring, 0.4–1.1 m/s velocity during summer, and low velocity in fall and winter (0.1–0.5 m/s). Shorthead Redhorse used submerged cover in all seasons except summer and selected specific ranges of depth within spring (2.4–4.4 m), summer (3.3–6.7 m), and winter (1.1–2.3 m). Our findings suggest that maintaining habitats with cover and diverse water depths and velocities, particularly both low and high velocity habitats during spring, may promote resilience by providing beneficial habitats for native fishes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3637","usgsCitation":"Edge, E., Paukert, C.P., III, L., Landwer, B., and Bonnot, T., 2020, Seasonal selection of riverine habitat by Spotted Bass and Shorthead Redhorse in a regulated river in the Midwestern U.S.: River Research and Applications, v. 36, no. 7, p. 1087-1096, https://doi.org/10.1002/rra.3637.","productDescription":"10 p.","startPage":"1087","endPage":"1096","ipdsId":"IP-109676","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Bagnell Dam,  Lake of the Ozarks, Osage River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.58316040039062,\n              38.10754709314396\n            ],\n            [\n              -92.35107421874999,\n              38.10754709314396\n            ],\n            [\n              -92.35107421874999,\n              38.136716904135376\n            ],\n            [\n              -92.58316040039062,\n              38.136716904135376\n            ],\n            [\n              -92.58316040039062,\n              38.10754709314396\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.977294921875,\n              37.972349871995256\n            ],\n            [\n              -91.99951171875,\n              37.972349871995256\n            ],\n            [\n              -91.99951171875,\n              38.50948995925553\n            ],\n            [\n              -92.977294921875,\n              38.50948995925553\n            ],\n            [\n              -92.977294921875,\n              37.972349871995256\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Edge, E.N.","contributorId":274981,"corporation":false,"usgs":false,"family":"Edge","given":"E.N.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":833544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"III, Lobb","contributorId":274982,"corporation":false,"usgs":false,"family":"III","given":"Lobb","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":833546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landwer, B.","contributorId":274984,"corporation":false,"usgs":false,"family":"Landwer","given":"B.","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":833547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonnot, T.W.","contributorId":274985,"corporation":false,"usgs":false,"family":"Bonnot","given":"T.W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":833548,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211912,"text":"70211912 - 2020 - Forecasting water demand across a rapidly urbanizing region","interactions":[],"lastModifiedDate":"2020-08-11T18:12:44.78815","indexId":"70211912","displayToPublicDate":"2020-04-30T12:57:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting water demand across a rapidly urbanizing region","docAbstract":"<p><span>Urban growth and climate change together complicate planning efforts meant to adapt to increasingly scarce water supplies. Several studies have independently examined the impacts of urban planning and climate change on water demand, but little attention has been given to their combined impact. Here we forecast urban water demand using a Geographically Weighted Regression model informed by socio-economic, environmental and landscape pattern metrics. The purpose of our study is to evaluate how future scenarios of population densities and climate warming will jointly affect water demand across two rapidly growing U.S. states (North Carolina and South Carolina). Our forecasts indicate that regional water demand by 2065 will increase by 37%–383% relative to the baseline in 2010, across all scenarios of change. Our results show future water demand will increase under rising temperatures, but could be ameliorated by policies that promote higher density development and urban infill. These water-efficient land use policies show a 5% regional reduction in water demand and up to 25% reduction locally for counties with the highest expected population growth by 2065. For rural counties experiencing depopulation, the land use policies we considered are insufficient to significantly reduce water demand. For expanding communities seeking to increase their adaptive capacity to changing socio-environmental conditions, our framework can assist in developing sustainable solutions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.139050","usgsCitation":"Sanchez, G., Terando, A., Smith, J.W., Garcia, A.M., Wagner, C., and Meentemeyer, R.K., 2020, Forecasting water demand across a rapidly urbanizing region: Science of the Total Environment, v. 730, 139050, 13 p., https://doi.org/10.1016/j.scitotenv.2020.139050.","productDescription":"139050, 13 p.","ipdsId":"IP-108370","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":456898,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.139050","text":"Publisher Index Page"},{"id":437009,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95PTP5G","text":"USGS data release","linkHelpText":"Land-use and water demand projections (2012 to 2065) under different scenarios of environmental change for North Carolina, South Carolina, and coastal Georgia"},{"id":377357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.5419921875,\n              36.491973470593685\n            ],\n            [\n              -81.6064453125,\n              36.66841891894786\n            ],\n            [\n              -84.1552734375,\n              35.06597313798418\n            ],\n            [\n              -82.5732421875,\n              34.08906131584994\n            ],\n            [\n              -80.7275390625,\n              31.87755764334002\n            ],\n            [\n              -77.47558593749999,\n              34.488447837809304\n            ],\n            [\n              -76.2451171875,\n              34.74161249883172\n            ],\n            [\n              -75.0146484375,\n              35.92464453144099\n            ],\n            [\n              -75.5419921875,\n              36.491973470593685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"730","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sanchez, Georgina M. 0000-0002-2365-6200","orcid":"https://orcid.org/0000-0002-2365-6200","contributorId":210477,"corporation":false,"usgs":false,"family":"Sanchez","given":"Georgina M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":795791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":795792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Jordan W.","contributorId":177326,"corporation":false,"usgs":false,"family":"Smith","given":"Jordan","email":"","middleInitial":"W.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":795793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Ana Maria 0000-0002-5388-1281 agarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":2035,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana","email":"agarcia@usgs.gov","middleInitial":"Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":795794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":false,"id":795795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":795796,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219116,"text":"70219116 - 2020 - Exploring regional scale metamorphic fabrics in the Yukon Tanana terrane and environs using quantitative domain analyses","interactions":[],"lastModifiedDate":"2021-04-15T16:28:18.487489","indexId":"70219116","displayToPublicDate":"2020-04-30T11:25:18","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring regional scale metamorphic fabrics in the Yukon Tanana terrane and environs using quantitative domain analyses","docAbstract":"<p>Metamorphic rock fabrics such as foliations and lineations provide a rock record of numerous deformational characteristics in the Earth’s crust. When spatial information is combined with fabric data collected at points on geologic maps, the nature and consistency of metamorphic fabrics can be explored through structural domain analysis. This is particularly useful in large regions where there is not well-established stratigraphy and where bedrock exposures are limited. Domains that contain distinctive orientations and patterns of fabrics can be constructed on the basis of several different parameters, but in folded, polydeformational regions cylindricity can be particularly useful. Distinct domains of cylindrical folding can sometimes be determined where poles to foliations show characteristic patterns on equal-area projections and lie perpendicular to a single axis in space. Additionally, the patterns of elements such as fold axes and mineral lineations can be used in conjunction with foliation data to refine domains and confirm parameters such as coaxiality.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2020 Cordilleran tectonics workshop program and abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2020 Cordilleran Tectonics Workshop","conferenceDate":"Feb 21-23, 2020","conferenceLocation":"Anchorage, AK","language":"English","publisher":"Cordilleran Tectonics Workshop","usgsCitation":"Caine, J., and Jones, J.V., 2020, Exploring regional scale metamorphic fabrics in the Yukon Tanana terrane and environs using quantitative domain analyses, <i>in</i> 2020 Cordilleran tectonics workshop program and abstracts, Anchorage, AK, Feb 21-23, 2020, p. 11-13.","productDescription":"3 p.","startPage":"11","endPage":"13","ipdsId":"IP-116658","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":385130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384616,"type":{"id":15,"text":"Index Page"},"url":"https://cordillerantectonics.com/program-and-abstracts/"}],"country":"Canada, United States","state":"Alaska, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.59912109375,\n              61.41775026352097\n            ],\n            [\n              -134.14306640625,\n              61.41775026352097\n            ],\n            [\n              -134.14306640625,\n              67.44122869796351\n            ],\n            [\n              -156.59912109375,\n              67.44122869796351\n            ],\n            [\n              -156.59912109375,\n              61.41775026352097\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":812833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":812834,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210285,"text":"70210285 - 2020 - Correlations along a 140 km transect in the westernmost Peach Spring Tuff, and tracing changing facies through depositional environments","interactions":[],"lastModifiedDate":"2020-05-29T16:07:11.372569","indexId":"70210285","displayToPublicDate":"2020-04-30T10:59:53","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Correlations along a 140 km transect in the westernmost Peach Spring Tuff, and tracing changing facies through depositional environments","docAbstract":"Tephrochronology is the correlation of tephra beds and tuffs by various means, and it is an important tool in refining stratigraphic and structural interpretations.  The 18.78 Ma Peach Spring Tuff (PST) is a large-volume ignimbrite that was deposited across a ~200 km x 360 km area of southeastern California, northwestern Arizona, and southern Nevada.  The PST is a valuable stratigraphic marker in several stratigraphic sequences in this area.  In this study, the field characteristics, mineral abundance, and feldspar composition of eight ignimbrite locations are examined along a 140 km swath across the northwestern extent of the PST in the Mojave Desert.  Based on geochronologic or paleomagnetic data, five of the ignimbrites are PST, and three are possible PST ignimbrites do not have supporting geochronologic or paleomagnetic data.  In 53 regionally dispersed locations of the PST, including the three possible PST ignimbrites in this study, the overlying and underlying sedimentary deposits are described in order to determine the depositional changes, if any, resulting from the geologically instantaneous deposition of the ignimbrite.  Of the 53 locations, 37 locations allow interpretation of the pre- and post-PST depositional environments. Of the 37, 25 have an upward fining-thinning trend  indicating that the deposition of the ignimbrite resulted in (1) disruption and change in local stream gradients and sediment supply, (2) a long period of time for depositional systems to propagate to and regenerate at a location, or (3) a lack of re-establishment of the pre-PST environments.  However, 12 have no significant change, so there was minimal disruption to the depositional system.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Changing facies: The 2020 desert symposium Field guide and proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2020 Desert Symposium","conferenceDate":"April 17-20, 2020","conferenceLocation":"Zzyzz, CA","language":"English","publisher":"Desert Symposium","usgsCitation":"Buesch, D.C., 2020, Correlations along a 140 km transect in the westernmost Peach Spring Tuff, and tracing changing facies through depositional environments, <i>in</i> Changing facies: The 2020 desert symposium Field guide and proceedings, Zzyzz, CA, April 17-20, 2020, p. 68-85.","productDescription":"18 p.","startPage":"68","endPage":"85","ipdsId":"IP-116896","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":375148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375143,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/History.html"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Peach Spring Tuff","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.25,\n              34.000\n            ],\n            [\n              -113.25,\n              34.000\n            ],\n            [\n              -113.25,\n              35.75\n            ],\n            [\n              -117.25,\n              35.75\n            ],\n            [\n              -117.25,\n              34.000\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":789953,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70211321,"text":"70211321 - 2020 - 2019 National park visitor spending effects: Economic contributions to local communities, states, and the nation","interactions":[],"lastModifiedDate":"2020-07-27T15:10:54.41551","indexId":"70211321","displayToPublicDate":"2020-04-30T10:06:48","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/EQD/NRR—2020/2110","title":"2019 National park visitor spending effects: Economic contributions to local communities, states, and the nation","docAbstract":"<p>The National Park Service (NPS) manages the Nation’s most iconic destinations that attract millions of visitors from across the Nation and around the world. Trip-related spending by NPS visitors generates and supports economic activity within park gateway communities. This report summarizes the annual economic contribution analysis that measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income. In 2019, the National Park System received over 327.5 million recreation visits. Visitors to national parks spent an estimated \\$21 billion in local gateway regions. The contribution of this spending to the national economy was 340,500 jobs, \\$14.1 billion in labor income, \\$24.3 billion in value added, and \\$41.7 billion in economic output. The lodging sector saw the highest direct effects, with \\$7.1 billion in economic output directly contributed to this sector nationally. The restaurants sector saw the next greatest effects, with $4.2 billion in economic output directly contributed to this sector nationally. Results from the Visitor Spending Effects report series are available online via an interactive tool. Users can view year-by-year trend data and explore current year visitor spending, jobs, labor income, value added, and economic output effects by sector for national, state, and local economies. 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,{"id":70212036,"text":"70212036 - 2020 - Effects of flow diversion on Snake Creek and its riparian cottonwood forest, Great Basin National Park","interactions":[],"lastModifiedDate":"2020-08-13T14:59:57.567569","indexId":"70212036","displayToPublicDate":"2020-04-30T09:53:53","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/GRBA/NRR-2020/2104","title":"Effects of flow diversion on Snake Creek and its riparian cottonwood forest, Great Basin National Park","docAbstract":"<p>Snake Creek flows east from the southern Snake Range in Nevada over complex lithology before leaving Great Basin National Park. The river travels over a section of karst limestone where some surface water naturally recharges the groundwater flow system. In 1961 a water diversion pipeline was constructed by downstream water users to transport surface water through the groundwater recharge zone to reduce potential water losses. The diversion pipeline dewaters a 5-km reach for most of the year by transporting water past the recharge zone then returning it to the channel downstream. Snake Creek was incorporated into the newly established Great Basin National Park in 1986, and today park managers and visitors are concerned that the diversion has destabilized Snake Creek’s riparian ecosystem in this arid region where it has high ecological value. The objectives of this study were to 1) document riparian cottonwood forest conditions in the pipeline-dewatered (DW) reach, 2) evaluate Snake Creek water availability and whether it can support a healthy riparian ecosystem, and 3) determine if dewatering has shifted the fluvial system into an unnatural and poorly functioning state. </p><p>We pursued these ecohydrological study objectives in 11 research investigations of Snake Creek’s DW reach and nearby reference reaches. The research investigations analyzed: 1) riparian forest condition, tree age, growth, and death; 2) tree ring chronologies through time and space; 3) hydroclimatic drivers of tree growth; 4) stable carbon isotopes extracted from tree rings; 5) cottonwood ecophysiology related to water transport and water stress; 6) historical aerial photography; 7) stand-level riparian forest production; 8) groundwater availability as related to surface water and plant rooting zones; 9) near-surface geophysics using electrical resistivity imaging; 10) channel and valley geomorphology; and 11) in-channel wood jams caused by fallen trees. Integrating these diverse research topics provided a full perspective of historical and modern conditions along Snake Creek. </p><p>We found that modern hydrological conditions in Snake Creek’s DW reach could not maintain the drought-sensitive ecosystem. The riparian cottonwoods (<i>Populus angustifolia</i> and <i>P. angustifolia</i> x <i>P. trichocarpa</i>) have experienced significant dieback. Tree mortality was 2.4 times higher in the DW reach than in reference reaches, and surviving trees supported only 60% of the live canopy compared to trees in reference reaches. Changes in the DW reach forest began in the 1960s and became more severe during the last two decades. Stable carbon isotope ratios and branch dieback analyses both demonstrated initial forest adjustments related to water stress beginning in the early 1960s. Tree ring width chronologies indicated two periods of growth decline in the DW relative to control reaches. The first decline in the 1960s represented an immediate adjustment to the modified flow regime, and the second decline in the 2000s demonstrated reduced resilience to atmospheric drought. Aerial photos and stand-level forest production calculations indicated that substantial riparian forest decline occurred in the 1990s–2010s in the DW reach compared to reference reaches. Stable carbon isotope ratios and leaf water potentials revealed that trees in the DW reach experienced greater drought stress than those in reference reaches. Monitoring wells and electrical resistivity surveys both showed riparian water tables to be largely supported by in-channel surface water flow, indicating that the flow diversion removed water that recharges alluvial groundwater and sustains riparian plants. Areas of widespread tree mortality in the DW reach also corresponded to a larger and more unstable channel with a high instream wood load from fallen trees. Modern conditions of Snake Creek in the DW reach robustly suggest that dewatering the river and its associated riparian corridor adversely affected the riparian ecosystem. The degraded condition is likely to persist and intensify unless water is returned to the channel. As we documented during the wet 1980s and the scientific literature suggest, a partial recovery of the riparian ecosystem is likely possible with restored flows.</p>","language":"English","publisher":"National Park Service","usgsCitation":"Schook, D.M., Cooper, D.J., Friedman, J.M., Rice, S.E., Hoover, J.D., and Thaxton, R.D., 2020, Effects of flow diversion on Snake Creek and its riparian cottonwood forest, Great Basin National Park: Natural Resource Report NPS/GRBA/NRR-2020/2104, xv, 159 p.","productDescription":"xv, 159 p.","ipdsId":"IP-114048","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":377493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377489,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/DownloadFile/637892"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.3951416015625,\n              38.66406704456943\n            ],\n            [\n              -114.114990234375,\n              38.66406704456943\n            ],\n            [\n              -114.114990234375,\n              39.08956785484934\n            ],\n            [\n              -114.3951416015625,\n              39.08956785484934\n            ],\n            [\n              -114.3951416015625,\n              38.66406704456943\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schook, Derek M.","contributorId":178325,"corporation":false,"usgs":false,"family":"Schook","given":"Derek","email":"","middleInitial":"M.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":796163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, David J.","contributorId":53309,"corporation":false,"usgs":true,"family":"Cooper","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":796164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":796165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Steven E.","contributorId":238179,"corporation":false,"usgs":false,"family":"Rice","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":796166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoover, Jamie D.","contributorId":238180,"corporation":false,"usgs":false,"family":"Hoover","given":"Jamie","email":"","middleInitial":"D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":796167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thaxton, Richard D.","contributorId":238181,"corporation":false,"usgs":false,"family":"Thaxton","given":"Richard","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":796168,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223287,"text":"70223287 - 2020 - Movement ecology and habitat use differences in Black Scoters wintering along the Atlantic coast","interactions":[],"lastModifiedDate":"2021-08-20T14:19:55.645255","indexId":"70223287","displayToPublicDate":"2020-04-30T09:13:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Movement ecology and habitat use differences in Black Scoters wintering along the Atlantic coast","docAbstract":"<p><span>For migratory species such as Black Scoters (</span><i>Melanitta americana</i><span>) whose range encompasses a variety of habitats, it is especially important to obtain habitat use information across the species’ range to better understand anthropogenic threats, e.g., marine development and climate change. The objective of our study was to investigate the winter movement patterns and habitat use of Black Scoters in the Atlantic Ocean by quantifying the following key movement indices: number of wintering sites, arrival and departure dates to and from the wintering grounds, days at a wintering site, area of a wintering site, distance between wintering sites, and differences in habitat features of wintering sites. We also tested if winter movement patterns varied by sex or along a latitudinal gradient. To quantify winter movement patterns of Black Scoters, we used satellite telemetry data from 2009 to 2012 (n = 29 tagged females and 15 males for a total of 66 winter seasons, 38 female winter seasons, 28 male winter seasons). Our results indicated that the average wintering site area and distance between wintering sites varied with latitude. Wintering sites located at southern latitudes were larger and further apart than wintering sites located at more northern latitudes. Additionally, wintering sites varied in bathymetry, distance to shore, and the slope of the ocean floor at different latitudes; northern wintering sites were in deeper waters, closer to shore, and on steeper slopes than southern wintering sites. Our results suggest that habitat use may differ by latitude, indicating that habitats used in northern locations may not be representative of habitats used in more southern wintering areas. Understanding variation of habitat use along a latitudinal gradient will enable managers to focus sampling effort for Black Scoter abundance and distribution along the Atlantic coast and provide insight on the wintering ecology and movement of Black Scoters.</span></p>","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ACE-01654-150206","usgsCitation":"Plumpton, H.M., Gilliland, S.G., and Ross, B., 2020, Movement ecology and habitat use differences in Black Scoters wintering along the Atlantic coast: Avian Conservation and Ecology, v. 15, no. 2, 6, https://doi.org/10.5751/ACE-01654-150206.","productDescription":"6","ipdsId":"IP-101476","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01654-150206","text":"Publisher Index Page"},{"id":388234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Florida, Georgia, Maryland, Massachusetts, New Jersey, New York, North Carolina, Rhode Island, South Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.33203125,\n              28.844673680771795\n            ],\n            [\n              -80.4638671875,\n              31.316101383495624\n            ],\n            [\n              -75.4541015625,\n              34.19817309627726\n            ],\n            [\n              -74.5751953125,\n              35.85343961959182\n            ],\n            [\n              -74.794921875,\n              37.54457732085582\n            ],\n            [\n              -73.916015625,\n              39.027718840211605\n            ],\n            [\n              -69.3017578125,\n              41.343824581185686\n            ],\n            [\n              -70.7080078125,\n              42.032974332441405\n            ],\n            [\n              -72.7734375,\n              41.47566020027821\n            ],\n            [\n              -74.3994140625,\n              40.97989806962013\n            ],\n            [\n              -76.728515625,\n              39.36827914916014\n            ],\n            [\n              -77.34374999999999,\n              37.92686760148135\n            ],\n            [\n              -76.46484375,\n              36.527294814546245\n            ],\n            [\n              -76.81640625,\n              35.60371874069731\n            ],\n            [\n              -77.255859375,\n              34.88593094075317\n            ],\n            [\n              -79.2333984375,\n              33.7243396617476\n            ],\n            [\n              -81.123046875,\n              32.13840869677249\n            ],\n            [\n              -81.5625,\n              30.939924331023445\n            ],\n            [\n              -81.0791015625,\n              28.8831596093235\n            ],\n            [\n              -80.33203125,\n              28.844673680771795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Plumpton, H. M.","contributorId":264502,"corporation":false,"usgs":false,"family":"Plumpton","given":"H.","email":"","middleInitial":"M.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":821619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliland, S. G.","contributorId":264504,"corporation":false,"usgs":false,"family":"Gilliland","given":"S.","email":"","middleInitial":"G.","affiliations":[{"id":12590,"text":"Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":821620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Beth 0000-0001-5634-4951 bross@usgs.gov","orcid":"https://orcid.org/0000-0001-5634-4951","contributorId":199242,"corporation":false,"usgs":true,"family":"Ross","given":"Beth","email":"bross@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821621,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210935,"text":"70210935 - 2020 - 7700-year persistence of an isolated, free-living coral assemblage in the Galápagos Islands: A model for coral refugia?","interactions":[],"lastModifiedDate":"2020-07-07T14:09:51.779689","indexId":"70210935","displayToPublicDate":"2020-04-30T09:05:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"7700-year persistence of an isolated, free-living coral assemblage in the Galápagos Islands: A model for coral refugia?","docAbstract":"In an eastern-Pacific coral assemblage at Devil’s Crown, Galápagos Islands, Ecuador, two coral species, Psammocora stellata and Cycloseris (Diaseris) distorta, form dense populations of unattached colonies on sand and rubble substrata. In the Galápagos, living C. (D.) distorta is found only at this single site, whereas populations of P. stellata are found throughout the archipelago. Six cores dating to 7700 yBP showed P. stellata to be dominant throughout the history of this isolated community, but C. (D.) distorta increased in abundance from ~2200 yBP and reached peak abundance between 1471 yBP and the present. The relative frequency of the two coral species may be linked to millennial-scale climatic variability, and this site may represent a refuge for C. (D.) distorta from unfavorable climatic fluctuations on millennial timescales. Our results demonstrate that some corals can persist in isolated populations for millennia.","language":"English","publisher":"Springer","doi":"10.1007/s00338-020-01935-5","usgsCitation":"Feingold, J., Reigl, B., Hendrickson, K., Toth, L., Cheng, H., Edwards, R.L., and Aronson, R.B., 2020, 7700-year persistence of an isolated, free-living coral assemblage in the Galápagos Islands: A model for coral refugia?: Coral Reefs, v. 39, p. 639-647, https://doi.org/10.1007/s00338-020-01935-5.","productDescription":"9 p.","startPage":"639","endPage":"647","ipdsId":"IP-111819","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":376148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Galápagos Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.0654296875,\n              -1.8124417945380265\n            ],\n            [\n              -88.868408203125,\n              -1.8124417945380265\n            ],\n            [\n              -88.868408203125,\n              0.5163504323777589\n            ],\n            [\n              -92.0654296875,\n              0.5163504323777589\n            ],\n            [\n              -92.0654296875,\n              -1.8124417945380265\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2020-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Feingold, Joshua","contributorId":228835,"corporation":false,"usgs":false,"family":"Feingold","given":"Joshua","email":"","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":792215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reigl, Bernhard","contributorId":228836,"corporation":false,"usgs":false,"family":"Reigl","given":"Bernhard","email":"","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":792216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, Katie","contributorId":228837,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Katie","email":"","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":792217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheng, Hai 0000-0002-5305-9458","orcid":"https://orcid.org/0000-0002-5305-9458","contributorId":223142,"corporation":false,"usgs":false,"family":"Cheng","given":"Hai","email":"","affiliations":[{"id":40680,"text":"Xi'an Jiaotong University","active":true,"usgs":false}],"preferred":false,"id":792219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, R. Lawrence","contributorId":69760,"corporation":false,"usgs":true,"family":"Edwards","given":"R.","email":"","middleInitial":"Lawrence","affiliations":[],"preferred":false,"id":792245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":792220,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70213143,"text":"70213143 - 2020 - Vegetation affects timing and location of wetland methane emissions","interactions":[],"lastModifiedDate":"2020-09-10T14:07:15.577182","indexId":"70213143","displayToPublicDate":"2020-04-30T08:58:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation affects timing and location of wetland methane emissions","docAbstract":"<div class=\"col-md-8 col-lg-8 article__content\"><div class=\"article__body \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Common assumptions about how vegetation affects wetland methane (CH) flux include acting as conduits for CH release, providing carbon substrates for growth and activity of methanogenic organisms, and supplying oxygen to support CH oxidation. However, these effects may change through time, especially in seasonal wetlands that experience drying and re-wetting, or change across space, dependent on proximity to vegetation. In a mesocosm study, we assessed the impacts of on CH flux using clear flux-chamber measurements directly over plants (&amp;lsquo;whole-plant&amp;rsquo;), adjacent to plants (where roots were present but no stems; &amp;lsquo;plant-adjacent&amp;rsquo;), and plant-free soils (&amp;lsquo;control&amp;rsquo;). During the establishment phase of the study (first 30-days), the whole-plant treatment had ~5-times higher CH flux rates (51.78&amp;plusmn;8.16 mg-C md) than plant-adjacent or control treatments, which was primarily due to plant-mediated transport, with little contribution from diffusive-only flux. However, high fluxes from whole-plants depleted porewater CH concentrations both directly below whole-plant and in neighboring plant-adjacent treatments, while controls accumulated a highly concentrated reservoir of porewater CH. When the water table was drawn down to simulate seasonal drying, reserve porewater CH from control soil was released as a pulse, equaling the earlier higher CH emissions from whole-plants. Plant-adjacent treatments, which had neither plant-mediated CH transport nor a concentrated reservoir of porewater CH, had low CH flux throughout the study. Our findings indicate that in seasonal wetlands, vegetation affects the timing and location of CH emissions. These results have important mechanistic and methodological implications for understanding the role of vegetation on wetland CH flux.</p></div></div></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JG005777","usgsCitation":"Bansal, S., Johnson, O., Meier, J., and Xiaoyan, Z., 2020, Vegetation affects timing and location of wetland methane emissions: Journal of Geophysical Research: Biogeosciences, v. 125, no. 9, e2020JG005777, 14 p., https://doi.org/10.1029/2020JG005777.","productDescription":"e2020JG005777, 14 p.","ipdsId":"IP-116816","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456904,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jg005777","text":"Publisher Index Page"},{"id":437010,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QT9V3K","text":"USGS data release","linkHelpText":"Greenhouse gas fluxes, dissolved gas concentrations, and water properties of laboratory mesocosms"},{"id":378307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":798390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Olivia 0000-0002-6839-6617","orcid":"https://orcid.org/0000-0002-6839-6617","contributorId":240088,"corporation":false,"usgs":false,"family":"Johnson","given":"Olivia","affiliations":[{"id":38050,"text":"Contractor","active":true,"usgs":false}],"preferred":false,"id":798391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meier, Jacob 0000-0002-8822-8434","orcid":"https://orcid.org/0000-0002-8822-8434","contributorId":204473,"corporation":false,"usgs":true,"family":"Meier","given":"Jacob","email":"","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":798392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiaoyan, Zhu","contributorId":240091,"corporation":false,"usgs":false,"family":"Xiaoyan","given":"Zhu","email":"","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":798393,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}