{"pageNumber":"245","pageRowStart":"6100","pageSize":"25","recordCount":68807,"records":[{"id":70211696,"text":"70211696 - 2020 - Temperature‐related responses of an invasive mussel and 2 unionid mussels to elevated carbon dioxide","interactions":[],"lastModifiedDate":"2020-08-07T14:08:23.853806","indexId":"70211696","displayToPublicDate":"2020-05-04T09:06:50","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":"Temperature‐related responses of an invasive mussel and 2 unionid mussels to elevated carbon dioxide","docAbstract":"Zebra mussels (Dreissena polymorpha) have exacerbated the decline of native freshwater mussels (Order Unionida) in North America since their arrival in the 1980s. Options for controlling invasive mussels, particularly in unionid mussel habitats, are limited. Previously, carbon dioxide (CO2) showed selective toxicity for zebra mussels, relative to unionids, when applied in cool water (12 °C). We first determined 96 h lethal concentrations of CO2 at 5 and 20 °C to zebra mussels and responses of juvenile plain pocketbook (Lampsilis cardium). Next, we compared the time to lethality for zebra mussels at 5, 12, and 20 °C during exposure to partial pressure of CO2 (PCO2) 110¬–120 atmospheres (atm; 1 atm = 101.325 kPa) and responses of juvenile plain pocketbook and fragile papershell (Leptodea fragilis). We found efficacious CO2 treatment regimens at each temperature that were minimally lethal to unionids. At 5 °C, plain pocketbook survived 96 h exposure to the highest PCO2 treatment (139 atm). At 20 °C, the 96 h LC10 (lethal concentration to 10% of animals) for plain pocketbook [173 atm PCO2, 95% confidence interval (CL) 147–198 atm] was higher than the LC99 for zebra mussels (118 atm PCO2, CL 109–127 atm). Lethal time to 99% mortality (LT99) of zebra mussels in 110 to 120 atm PCO2 ranged from 100 h at 20 °C to 300 h at 5 °C. Mean survival of juvenile unionids exceeded 85% in LT99 CO2 treatments at all temperatures. Short-term infusion of 100 to 200 atm PCO2 at a range of water temperatures could reduce biofouling by zebra mussels with limited adverse effects on unionid mussels.","language":"English","publisher":"Wiley","doi":"10.1002/etc.4743","usgsCitation":"Waller, D.L., Bartsch, M.R., Lord, E.G., and Erickson, R.A., 2020, Temperature‐related responses of an invasive mussel and 2 unionid mussels to elevated carbon dioxide: Environmental Toxicology and Chemistry, v. 39, no. 8, p. 1546-1557, https://doi.org/10.1002/etc.4743.","productDescription":"12 p.","startPage":"1546","endPage":"1557","ipdsId":"IP-114982","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":456853,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4743","text":"Publisher Index Page"},{"id":437005,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FMIHJM","text":"USGS data release","linkHelpText":"Temperature-related responses of invasive (Dreissena polymorpha) and native mussels (Order: Unionida) to elevated carbon dioxide data"},{"id":377173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lord, Eric G. 0000-0003-4790-3381","orcid":"https://orcid.org/0000-0003-4790-3381","contributorId":220708,"corporation":false,"usgs":false,"family":"Lord","given":"Eric","email":"","middleInitial":"G.","affiliations":[{"id":40249,"text":"former UMESC employee","active":true,"usgs":false}],"preferred":false,"id":795106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795107,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209875,"text":"70209875 - 2020 - Microplastics in Lake Mead National Recreation Area, USA: Occurrence and biological uptake","interactions":[],"lastModifiedDate":"2020-05-05T13:22:08.452546","indexId":"70209875","displayToPublicDate":"2020-05-04T08:15:40","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":"Microplastics in Lake Mead National Recreation Area, USA: Occurrence and biological uptake","docAbstract":"Microplastics are an environmental contaminant of growing concern, but there is a lack of information about microplastic distribution, persistence, availability, and biological uptake in freshwater systems. This is especially true for large river systems like the Colorado River that spans multiple states through mostly rural and agricultural land use. This study characterized the quantity and morphology of microplastics in different environmental compartments in two large reservoirs along the Colorado River: Lakes Mead and Mohave, within Lake Mead National Recreation Area. To assess microplastic occurrence, surface water and surficial sediment were sampled at a total of nine locations. Sampling locations targeted different sub-basins with varying levels of anthropogenic impact. Las Vegas Wash, a tributary which delivers treated wastewater to Lake Mead, was also sampled. A sediment core (33 cm long, representing approximately 19 years) was extracted from Las Vegas Bay to assess changes in microplastic deposition over time. Striped bass (Morone saxatilis), common carp (Cyprinus carpio), quagga mussels (Dreissena bugensis), and Asian clams (Corbicula fluminea) were sampled at a subset of locations to assess biological uptake of microplastics. \n\nMicroplastic concentrations were 0.44-9.7 particles/cubic meter at the water surface and 87.5-1,010 particles/kilogram dry weight (kg dw) at the sediment surface. Sediment core concentrations were 220-2,040 particles/kg dw, with no clear increasing or decreasing trend over time. Shellfish microplastic concentrations ranged from 2.7-105 particles/organism, and fish concentrations ranged from 0-19 particles/organism. Fibers were the most abundant particle type found in all sample types. Although sample numbers are small, microplastic concentrations appear to be higher in areas of greater anthropogenic impact. Results from this study improve our understanding of the occurrence and biological uptake of microplastics in Lake Mead National Recreation Area, and help fill existing knowledge gaps on microplastics in freshwater environments in the southwestern U.S.","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0228896","collaboration":"","usgsCitation":"Baldwin, A.K., Spanjer, A.R., Rosen, M., and Thom, T., 2020, Microplastics in Lake Mead National Recreation Area, USA: Occurrence and biological uptake: PLoS ONE, v. 15, no. 5, e0228896, 20 p., https://doi.org/10.1371/journal.pone.0228896.","productDescription":"e0228896, 20 p.","ipdsId":"IP-112005","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":456857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0228896","text":"Publisher Index Page"},{"id":374454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.8565673828125,\n 35.980228800645676\n ],\n [\n -114.03259277343749,\n 35.980228800645676\n ],\n [\n -114.03259277343749,\n 36.595684037179055\n ],\n [\n -114.8565673828125,\n 36.595684037179055\n ],\n [\n -114.8565673828125,\n 35.980228800645676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spanjer, Andrew R. 0000-0002-7288-2722 aspanjer@usgs.gov","orcid":"https://orcid.org/0000-0002-7288-2722","contributorId":150395,"corporation":false,"usgs":true,"family":"Spanjer","given":"Andrew","email":"aspanjer@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":224435,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thom, Theresa","contributorId":224436,"corporation":false,"usgs":false,"family":"Thom","given":"Theresa","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":788361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227150,"text":"70227150 - 2020 - Two Ocean Pass: An alternative hypothesis for invasion of Yellowstone Lake by lake trout, and implications for future invasions","interactions":[],"lastModifiedDate":"2022-01-03T16:07:20.460292","indexId":"70227150","displayToPublicDate":"2020-05-03T09:38:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Two Ocean Pass: An alternative hypothesis for invasion of Yellowstone Lake by lake trout, and implications for future invasions","docAbstract":"

Preventing the interbasin transfer of aquatic invasive species is a high priority for natural resource managers. Such transfers can be made by humans or can occur by dispersal through connected waterways. A natural surface water connection between the Atlantic and Pacific drainages in North America exists at Two Ocean Pass south of Yellowstone National Park. Yellowstone cutthroat trout Oncorhynchus clarkii bouvieri used this route to cross the Continental Divide and colonize the Yellowstone River from ancestral sources in the Snake River following glacial recession 14,000 bp. Nonnative lake trout Salvelinus namaycush were stocked into lakes in the Snake River headwaters in 1890 and quickly dispersed downstream. Lake trout were discovered in Yellowstone Lake in 1994 and were assumed to have been illegally introduced. Recently, lake trout have demonstrated their ability to move widely through river systems and invade headwater lakes in Glacier National Park. Our objective was to determine if lake trout and other nonnative fish were present in the connected waters near Two Ocean Pass and could thereby colonize the Yellowstone River basin in the past or future. We used environmental DNA (eDNA), electrofishing, and angling to survey for lake trout and other fishes. Yellowstone cutthroat trout were detected at nearly all sites on both sides of the Continental Divide. Lake trout and invasive brook trout S. fontinalis were detected in Pacific Creek near its confluence with the Snake River. We conclude that invasive movements by lake trout from the Snake River over Two Ocean Pass may have resulted in their colonization of Yellowstone Lake. Moreover, Yellowstone Lake may be vulnerable to additional invasions because several other nonnative fish inhabit the upper Snake River. In the future, eDNA collected across smaller spatial intervals in Pacific Creek during flow conditions more conducive to lake trout movement may provide further insight into the extent of non-native fish invasions in this stream.

","language":"English","doi":"10.3390/w12061629","usgsCitation":"Koel, T., Detjens, C.R., and Zale, A.V., 2020, Two Ocean Pass: An alternative hypothesis for invasion of Yellowstone Lake by lake trout, and implications for future invasions: Water, v. 12, no. 6, p. 1-23, https://doi.org/10.3390/w12061629.","productDescription":"1629, 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-107664","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":456872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w12061629","text":"Publisher Index Page"},{"id":393747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Bridger-Teton Wilderness, Grand Teton National Park, Snake River, Two Ocean Pass, Yellowstone Lake, Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.50,\n 43\n ],\n [\n -109,\n 43\n ],\n [\n -109,\n 46\n ],\n [\n -111.50,\n 46\n ],\n [\n -111.50,\n 43\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Koel, Todd M.","contributorId":100782,"corporation":false,"usgs":true,"family":"Koel","given":"Todd M.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":829910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Detjens, Colleen R.","contributorId":270712,"corporation":false,"usgs":false,"family":"Detjens","given":"Colleen","email":"","middleInitial":"R.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":829911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":829803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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":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":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":"

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.

","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 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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":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225-0046

","tableOfContents":"","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":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":"

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 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.

","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":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological 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":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":"

No abstract available.

","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":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":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":788561,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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":"

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.

","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, in 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":"

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 (Micropterus punctulatus) are nest-guarders, sight feeders, and habitat generalists, whereas Shorthead Redhorse (Moxostoma macrolepidotum) 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 <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.

","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":"

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.

","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":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":"

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.

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.

We found that modern hydrological conditions in Snake Creek’s DW reach could not maintain the drought-sensitive ecosystem. The riparian cottonwoods (Populus angustifolia and P. angustifolia x P. trichocarpa) 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.

","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":"

For migratory species such as Black Scoters (Melanitta americana) 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.

","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":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":"

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 (&lsquo;whole-plant&rsquo;), adjacent to plants (where roots were present but no stems; &lsquo;plant-adjacent&rsquo;), and plant-free soils (&lsquo;control&rsquo;). During the establishment phase of the study (first 30-days), the whole-plant treatment had ~5-times higher CH flux rates (51.78&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.

","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}]}} ,{"id":70219907,"text":"70219907 - 2020 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2019","interactions":[],"lastModifiedDate":"2021-04-16T13:31:57.728158","indexId":"70219907","displayToPublicDate":"2020-04-30T08:29:44","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":8434,"text":"Lake Erie Biological Station Annual Report","active":true,"publicationSubtype":{"id":4}},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2019","docAbstract":"

A comprehensive understanding of fish populations and their interactions is the cornerstone of modern fishery management and the basis for Fish Community Goals and Objectives for Lake Erie (Ryan et al. 2003). This report is responsive to U.S. Geological Survey (USGS) obligations via Memorandum of Understanding (MOU) with the Great Lakes Council of Lake Committees (CLC) to provide scientific information in support of fishery management. Goals for the USGS Great Lakes Deepwater Fish Assessment and Ecological Studies in 2019 were to monitor long-term changes in the fish community and population dynamics of key fishes of interest to management agencies. Specific to Lake Erie, expectations of this agreement were sustained investigations of native percids, forage (prey) fish populations, and Lake Trout.

Our 2019 deepwater program operations began in April and concluded in December, and utilized trawl, gillnet, hydroacoustic, lower trophic sampling, and telemetry methods. This work resulted in 88 bottom trawls covering 65 ha of lake-bottom and catching 24,140 fish totaling 3,622 kg during three separate trawl surveys in the West and Central basins of Lake Erie. Overnight gillnet sets (n=44) for cold water species were performed at 42 unique locations in the West and East basins of Lake Erie. A total of 8.0 km of gillnet was deployed during these surveys, which caught 286 fish, 114 of which were native coldwater species: Lake Trout, Burbot, and Lake Whitefish. USGS hydroacoustic surveys in 2019 produced 240 km of transects, and lower trophic sampling provided data from zooplankton samples (n=21) and water quality profiles (n=21) to populate a database maintained by the Ontario Ministry of Natural Resources and Forestry (OMNRF), Ohio Division of Natural Resources (ODNR), Michigan Division of Natural Resources (MDNR), Pennsylvania Fish and Boat Commission (PFBC), and New York State Department of Environmental Conservation (NYSDEC). USGS also assisted CLC member agencies with deployment and maintenance of the Great Lakes Acoustic Telemetry Observation System (GLATOS) throughout all three Lake Erie sub-basins, supporting multiple coordinated telemetry investigations.

In 2019, Lake Trout investigations included annual gill net surveys and acoustic telemetry of spawning migration and habitat use in coordination with OMNRF, NYSDEC, and PFBC. Results from Lake Trout investigations were reported in the Coldwater Task Group annual report to the Great Lakes Fishery Commission (GLFC) and the CLC (Coldwater Task Group 2020). Likewise, interagency forage fish assessments conducted with hydroacoustics were summarized and reported in the Forage Task Group annual report (Forage Task Group 2020).

This report presents biomass-based summaries of fish communities in western Lake Erie derived from USGS bottom trawl surveys conducted from 2013 to 2019 during June and September. The survey design provided temporal and spatial coverage that did not exist in the historic interagency trawl database, and thus complemented the August ODNR-OMNRF effort to reinforce stock assessments with more robust data. Analyses herein evaluated trends in: total biomass, abundance of dominant predator and forage species, non-native species composition, biodiversity and community structure. Data from this effort can be explored interactively online (https://lebs.shinyapps.io/western-basin/), and are accessible for download (https://doi.org/10.5066/P9LL6YOR, Keretz et al. 2020). Annual survey data are added to these sources as the data become available.

","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Keretz, K.R., Kocovsky, P., Kraus, R., and Schmitt, J., 2020, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2019: Lake Erie Biological Station Annual Report, 12 p.","productDescription":"12 p.","ipdsId":"IP-116726","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":385156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385155,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lake-erie-committee.php"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.4796142578125,\n 41.701627343789205\n ],\n [\n -83.056640625,\n 41.58668835697237\n ],\n [\n -82.9742431640625,\n 41.52091689636249\n ],\n [\n -83.0401611328125,\n 41.422134246213616\n ],\n [\n -82.9083251953125,\n 41.40153558289846\n ],\n [\n -82.79296874999999,\n 41.463311976686235\n ],\n [\n -82.4908447265625,\n 41.380930388318\n ],\n [\n -81.990966796875,\n 41.50446357504803\n ],\n [\n -81.7108154296875,\n 41.48800607185427\n ],\n [\n -81.3372802734375,\n 41.72623044860004\n ],\n [\n -80.48583984375,\n 41.983994270935625\n ],\n [\n -79.46411132812499,\n 42.407234661551875\n ],\n [\n -79.200439453125,\n 42.54093947168063\n ],\n [\n -78.848876953125,\n 42.79943131987838\n ],\n [\n -78.9202880859375,\n 42.879989517714826\n ],\n [\n -79.332275390625,\n 42.871938424448466\n ],\n [\n -79.4696044921875,\n 42.871938424448466\n ],\n [\n -79.7222900390625,\n 42.84375132629021\n ],\n [\n -80.22766113281249,\n 42.783307077249624\n ],\n [\n -80.46936035156249,\n 42.577354839557856\n ],\n [\n -80.85937499999999,\n 42.65012181368022\n ],\n [\n -81.30432128906249,\n 42.66628070564928\n ],\n [\n -81.5185546875,\n 42.5733097370664\n ],\n [\n -81.8096923828125,\n 42.382894009614034\n ],\n [\n -81.9140625,\n 42.285437007491545\n ],\n [\n -81.9305419921875,\n 42.256983603767466\n ],\n [\n -82.02392578125,\n 42.256983603767466\n ],\n [\n -82.430419921875,\n 42.11859868281563\n ],\n [\n -82.50732421875,\n 42.004407212963585\n ],\n [\n -82.5238037109375,\n 41.92271616673922\n ],\n [\n -82.60620117187499,\n 42.02481360781777\n ],\n [\n -82.72705078125,\n 42.02889410108475\n ],\n [\n -82.9248046875,\n 41.98807738309159\n ],\n [\n -83.045654296875,\n 42.049292638686836\n ],\n [\n -83.12805175781249,\n 42.1104489601222\n ],\n [\n -83.155517578125,\n 42.15118709351198\n ],\n [\n -83.22143554687499,\n 42.05337156043361\n ],\n [\n -83.177490234375,\n 42.004407212963585\n ],\n [\n -83.25439453125,\n 41.95540515378059\n ],\n [\n -83.4356689453125,\n 41.828642001860544\n ],\n [\n -83.4906005859375,\n 41.72623044860004\n ],\n [\n -83.4796142578125,\n 41.701627343789205\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":814367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210810,"text":"70210810 - 2020 - Predicting the floods that follow the flames","interactions":[],"lastModifiedDate":"2020-08-04T14:17:11.386942","indexId":"70210810","displayToPublicDate":"2020-04-29T10:02:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the floods that follow the flames","docAbstract":"

No abstract available.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-20-0040.1","usgsCitation":"Gourley, J.J., Vergara, H., Arthur, A., Clark, R.A., Staley, D.M., Fulton, J.W., Hempel, L.A., Goodrich, D.C., Rowden, K., and Robichaud, P.R., 2020, Predicting the floods that follow the flames: Bulletin of the American Meteorological Society, v. 101, no. 7, p. E1101-E1106, https://doi.org/10.1175/BAMS-D-20-0040.1.","productDescription":"6 p.","startPage":"E1101","endPage":"E1106","ipdsId":"IP-116546","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":456911,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-20-0040.1","text":"Publisher Index Page"},{"id":375973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gourley, Jonathan J 0000-0001-7363-3755","orcid":"https://orcid.org/0000-0001-7363-3755","contributorId":225540,"corporation":false,"usgs":false,"family":"Gourley","given":"Jonathan","email":"","middleInitial":"J","affiliations":[{"id":41158,"text":"NOAA/OAR/National Severe Storms Laboratory, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":791536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vergara, Humberto","contributorId":225541,"corporation":false,"usgs":false,"family":"Vergara","given":"Humberto","email":"","affiliations":[{"id":41159,"text":"Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":791537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arthur, Ami","contributorId":225542,"corporation":false,"usgs":false,"family":"Arthur","given":"Ami","affiliations":[{"id":41159,"text":"Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":791538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Robert A","contributorId":225543,"corporation":false,"usgs":false,"family":"Clark","given":"Robert","email":"","middleInitial":"A","affiliations":[{"id":41159,"text":"Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":791539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":791540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, John W, 0000-0002-5335-0720","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":213630,"corporation":false,"usgs":true,"family":"Fulton","given":"John","middleInitial":"W,","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":791542,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodrich, David C.","contributorId":65552,"corporation":false,"usgs":false,"family":"Goodrich","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":791543,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rowden, Katherine","contributorId":225544,"corporation":false,"usgs":false,"family":"Rowden","given":"Katherine","email":"","affiliations":[{"id":41160,"text":"NOAA/National Weather Service Western Region Headquarters, Salt Lake City, UT, USA 84138","active":true,"usgs":false}],"preferred":false,"id":791544,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Robichaud, Peter R.","contributorId":176259,"corporation":false,"usgs":false,"family":"Robichaud","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":791545,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70214673,"text":"70214673 - 2020 - Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through time-series remote sensing","interactions":[],"lastModifiedDate":"2020-10-02T13:24:58.347144","indexId":"70214673","displayToPublicDate":"2020-04-29T08:21:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through time-series remote sensing","docAbstract":"Californias Central Valley, USA is a critical component of the Pacific Flyway despite loss of more than 90% of its wetlands. Moist soil seed (MSS) wetland plants are now produced by mimicking seasonal flooding in managed wetlands to provide an essential food resource for waterfowl. Managers need MSS plant area and productivity estimates to support waterfowl conservation, yet this remains unknown at the landscape scale. Also the effects of recent drought on MSS plants have not been quantified. We generated Landsat-derived estimates of extents and productivity (seed yield or its proxy, the green chlorophyll index) of major MSS plants including watergrass (Echinochloa crusgalli) and smartweed (Polygonum spp.) (WGSW), and swamp timothy (Crypsis schoenoides) (ST) in all Central Valley managed wetlands from 20072017. We tested the effects of water year, land ownership and region on plant area and productivity with a multifactor nested analysis of variance. For the San Joaquin Valley we explored the association between water year and water supply, and we developed metrics to support management decisions. MSS plant area maps were based on a support vector machine classification of Landsat phenology metrics (2017 map overall accuracy: 89%). ST productivity maps were created with a linear regression model of seed yield (n=68, R2 = 0.53, normalized RMSE = 10.5%). The Central Valley-wide estimated area for ST in 2017 was 32,369 ha 2,524 ha (95% C.I.), and 13,012 ha 1,384 ha for WGSW. Mean ST seed yield ranged from 577 kg/ha in the Delta Basin to 365 kg/ha in the San Joaquin Basin. WGSW area and ST seed yield decreased while ST area increased in critical drought years compared to normal water years (Scheffes test, p<0.05). Greatest ST area increases occurred in the Sacramento Valley (~75%). Voluntary water deliveries increased in normal water years, and ST seed yield increased with water supply. Z-scores of ST seed yield can be used to evaluate wetland performance and aid resource allocation decisions. Updated maps will support habitat monitoring, conservation planning and water management in future years, which are likely to face greater uncertainty in water availability with climate change.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2153","usgsCitation":"Byrd, K.B., Lorenz, A., Anderson, J., Wallace, C., Kara Moore-O'Leary, Isola, J., Ortega, R., and Reiter, M., 2020, Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through time-series remote sensing: Ecological Applications, v. 30, no. 7, e02153, 20 p., https://doi.org/10.1002/eap.2153.","productDescription":"e02153, 20 p.","ipdsId":"IP-112842","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":378986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.16796875,\n 40.48038142908172\n ],\n [\n -122.431640625,\n 40.713955826286046\n ],\n [\n -123.00292968749999,\n 40.34654412118006\n ],\n [\n -122.958984375,\n 39.26628442213066\n ],\n [\n -122.431640625,\n 38.58252615935333\n ],\n [\n -121.9482421875,\n 37.33522435930639\n ],\n [\n -120.5419921875,\n 36.06686213257888\n ],\n [\n -119.4873046875,\n 35.02999636902566\n ],\n [\n -119.00390625,\n 34.994003757575776\n ],\n [\n -118.564453125,\n 35.209721645221386\n ],\n [\n -118.95996093749999,\n 36.35052700542763\n ],\n [\n -120.0146484375,\n 37.055177106660814\n ],\n [\n -121.201171875,\n 38.89103282648846\n ],\n [\n -122.16796875,\n 40.48038142908172\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":800393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, Austen 0000-0003-3657-5941","orcid":"https://orcid.org/0000-0003-3657-5941","contributorId":222610,"corporation":false,"usgs":true,"family":"Lorenz","given":"Austen","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":800394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, James","contributorId":242025,"corporation":false,"usgs":false,"family":"Anderson","given":"James","affiliations":[{"id":40562,"text":"Golder Associates","active":true,"usgs":false}],"preferred":false,"id":800395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, Cynthia 0000-0003-0001-8828 cwallace@usgs.gov","orcid":"https://orcid.org/0000-0003-0001-8828","contributorId":149179,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia","email":"cwallace@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":800396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kara Moore-O'Leary","contributorId":242031,"corporation":false,"usgs":false,"family":"Kara Moore-O'Leary","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":800397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isola, Jennifer","contributorId":242027,"corporation":false,"usgs":false,"family":"Isola","given":"Jennifer","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":800398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ortega, Ricardo","contributorId":242028,"corporation":false,"usgs":false,"family":"Ortega","given":"Ricardo","email":"","affiliations":[{"id":48476,"text":"Grassland Water District","active":true,"usgs":false}],"preferred":false,"id":800399,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reiter, Matt","contributorId":242029,"corporation":false,"usgs":false,"family":"Reiter","given":"Matt","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":800400,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70209784,"text":"fs20203023 - 2020 - Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2016–17","interactions":[],"lastModifiedDate":"2020-04-30T13:12:13.705126","indexId":"fs20203023","displayToPublicDate":"2020-04-28T14:42:14","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3023","displayTitle":"Continuous Water-Quality and Suspended-Sediment Transport Monitoring in the San Francisco Bay, California, Water Years 2016–17","title":"Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2016–17","docAbstract":"

The U.S. Geological Survey (USGS) monitors water quality and suspended-sediment transport in the San Francisco Bay (Bay) as part of a multi-agency effort to address estuary management, water supply, and ecological concerns. The San Francisco Bay area is home to millions of people, and the Bay teems with plants and both resident and migratory wildlife, and fish. Freshwater mixes with salt water in the Bay and is subject to riverine influences (floods, droughts, managed reservoir releases, and freshwater diversions) and marine influences (tides, waves, and effects of salt water). To understand this environment, the USGS along with its cooperators (see “Acknowledgments”), has been monitoring the Bay’s waters continuously since 1988.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203023","usgsCitation":"Einhell, D.C., Downing-Kunz, M.A., and Livsey, D.N., 2020, Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2016–17: U.S. Geological Survey Fact Sheet 2020–3023, 4 p., https://doi.org/10.3133/fs20203023.","productDescription":"4 p. ","numberOfPages":"4","ipdsId":"IP-113711","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":374332,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3023/fs20203023.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":374331,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3023/coverthb.jpg"}],"country":"United States","state":"California","city":"","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.947998046875,\n 37.391981943533544\n ],\n [\n -121.89056396484375,\n 37.391981943533544\n ],\n [\n -121.89056396484375,\n 38.171273439283084\n ],\n [\n -122.947998046875,\n 38.171273439283084\n ],\n [\n -122.947998046875,\n 37.391981943533544\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

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

","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-04-28","noUsgsAuthors":false,"publicationDate":"2020-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Einhell, Darin C. 0000-0002-3190-7727 deinhell@usgs.gov","orcid":"https://orcid.org/0000-0002-3190-7727","contributorId":220042,"corporation":false,"usgs":true,"family":"Einhell","given":"Darin","email":"deinhell@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Livsey, Daniel N. 0000-0002-2028-6128 dlivsey@usgs.gov","orcid":"https://orcid.org/0000-0002-2028-6128","contributorId":181870,"corporation":false,"usgs":true,"family":"Livsey","given":"Daniel","email":"dlivsey@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788001,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210513,"text":"70210513 - 2020 - Stormwater control impacts on runoff volume and peak flow: A meta-analysis of watershed modelling studies","interactions":[],"lastModifiedDate":"2020-07-09T15:05:48.672194","indexId":"70210513","displayToPublicDate":"2020-04-28T10:01:03","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":"Stormwater control impacts on runoff volume and peak flow: A meta-analysis of watershed modelling studies","docAbstract":"

Decades of research has concluded that the percent of impervious surface cover in a watershed is strongly linked to negative impacts on urban stream health. Recently, there has been a push by municipalities to offset these effects by installing structural stormwater control measures (SCMs), which are landscape features designed to retain and reduce runoff to mitigate the effects of urbanisation on event hydrology. The goal of this study is to build generalisable relationships between the level of SCM implementation in urban watersheds and resulting changes to hydrology. A literature review of 185 peer‐reviewed studies of watershed‐scale SCM implementation across the globe was used to identify 52 modelling studies suitable for a meta‐analysis to build statistical relationships between SCM implementation and hydrologic change. Hydrologic change is quantified as the percent reduction in storm event runoff volume and peak flow between a watershed with SCMs relative to a (near) identical control watershed without SCMs. Results show that for each additional 1% of SCM‐mitigated impervious area in a watershed, there is an additional 0.43% reduction in runoff and a 0.60% reduction in peak flow. Values of SCM implementation required to produce a change in water quantity metrics were identified at varying levels of probability. For example, there is a 90% probability (high confidence) of at least a 1% reduction in peak flow with mitigation of 33% of impervious surfaces. However, as the reduction target increases or mitigated impervious surface decreases, the probability of reaching the reduction target also decreases. These relationships can be used by managers to plan SCM implementation at the watershed scale.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13784","usgsCitation":"Bell, C.D., Wolfand, J.M., Panos, C.L., Bhaskar, A.S., Gilliom, R.L., Hogue, T.S., Hopkins, K.G., and Jefferson, A.J., 2020, Stormwater control impacts on runoff volume and peak flow: A meta-analysis of watershed modelling studies: Hydrological Processes, v. 34, no. 14, p. 3134-3152, https://doi.org/10.1002/hyp.13784.","productDescription":"19 p.","startPage":"3134","endPage":"3152","ipdsId":"IP-114115","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":456920,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13784","text":"Publisher Index Page"},{"id":375409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"14","noUsgsAuthors":false,"publicationDate":"2020-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bell, Colin D.","contributorId":215502,"corporation":false,"usgs":false,"family":"Bell","given":"Colin","email":"","middleInitial":"D.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":790474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfand, Jordyn M.","contributorId":225130,"corporation":false,"usgs":false,"family":"Wolfand","given":"Jordyn","email":"","middleInitial":"M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":790475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Panos, Chelsea L.","contributorId":225131,"corporation":false,"usgs":false,"family":"Panos","given":"Chelsea","email":"","middleInitial":"L.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":790476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bhaskar, Aditi S.","contributorId":199824,"corporation":false,"usgs":false,"family":"Bhaskar","given":"Aditi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":790477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilliom, Ryan L.","contributorId":225132,"corporation":false,"usgs":false,"family":"Gilliom","given":"Ryan","email":"","middleInitial":"L.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":790478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hogue, Terri S.","contributorId":205175,"corporation":false,"usgs":false,"family":"Hogue","given":"Terri","email":"","middleInitial":"S.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":790479,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":790480,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jefferson, Anne J.","contributorId":199823,"corporation":false,"usgs":false,"family":"Jefferson","given":"Anne","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":790481,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70209753,"text":"70209753 - 2020 - InFRM Flood Decision Support Toolbox user guide","interactions":[],"lastModifiedDate":"2020-04-28T16:15:23.256547","indexId":"70209753","displayToPublicDate":"2020-04-28T08:31:17","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"InFRM Flood Decision Support Toolbox user guide","docAbstract":"Digital geospatial flood inundation mapping can be a powerful tool for flood risk management. Flood preparedness, communication, warning, response and mitigation can be enhanced by flood inundation mapping that shows floodwater extent and depth over the land surface. Flood inundation maps that accurately reflect observed and forecasted hydrodynamic conditions enable officials to make timely operational and public safety decisions before and during flood events. Real-time inundation maps, based on U.S. Geological Survey (USGS) real-time streamgage observations, National Weather Service (NWS) forecasts and US Army Corps of Engineers (USACE) flood operations, can significantly enhance a community’s flood warning and response operations and systems. These maps enable local officials to make more informed flood risk management decisions and enhance the communication of these decisions to the public, thereby reducing loss of life and property. In addition, flood inundation maps and scenario analysis can inform all parties of the potential risk associated with various flood management options, prior to an actual flood event.","language":"English","publisher":"Interagency Flood Risk Management","collaboration":"U.S. Army Corps of Engineers, Federal Emergency Management Agency, National Weather Service","usgsCitation":"Interagency Flood Risk Management (InFRM), 2020, InFRM Flood Decision Support Toolbox user guide, 34 p.","productDescription":"34 p.","ipdsId":"IP-117331","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":374317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":374313,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://webapps.usgs.gov/infrm/pubs/FDST_UserGuide_vApr2020.pdf"},{"id":374247,"type":{"id":15,"text":"Index Page"},"url":"https://infrm.us"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Interagency Flood Risk Management (InFRM)","contributorId":224366,"corporation":true,"usgs":false,"organization":"Interagency Flood Risk Management (InFRM)","id":787998,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70210775,"text":"70210775 - 2020 - Polymeric nanofiber-carbon nanotube composite mats as fast-equilibrium passive samplers for polar organic pollutants","interactions":[],"lastModifiedDate":"2020-06-24T13:26:07.192535","indexId":"70210775","displayToPublicDate":"2020-04-28T08:21:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Polymeric nanofiber-carbon nanotube composite mats as fast-equilibrium passive samplers for polar organic pollutants","docAbstract":"

To improve the performance of polymeric electrospun nanofiber mats (ENMs) for equilibrium passive sampling applications in water, we integrated two types of multiwalled carbon nanotubes (CNTs; with and without surface carboxyl groups) into polyacrylonitrile (PAN) and polystyrene (PS) ENMs. For 11 polar and moderately hydrophobic compounds (−0.07 ≤ logKOW ≤ 3.13), 90% of equilibrium uptake was achieved in under 0.8 days (t90% values) in nonmixed ENM-CNT systems. Sorption capacity of ENM-CNTs was between 2- and 50-fold greater than pure polymer ENMs, with equilibrium partition coefficients (KENM-W values) ranging from 1.4 to 3.1 log units (L/kg) depending on polymer type (hydrophilic PAN or hydrophobic PS), CNT loading (i.e., values increased with weight percent (wt %) of CNTs), and CNT type (i.e., greater uptake with carboxylated CNTs composites). During field deployment at Muddy Creek in North Liberty, Iowa, optimal ENM-CNTs (PAN with 20 wt % carboxylated CNTs) yielded atrazine concentrations in surface water with a 40% difference relative to analysis of a same-day grab sample. We also observed a mean percent difference of 30 (±20)% when comparing ENM-CNT sampler results to grab sample data collected within 1 week of deployment. With their rapid, high capacity uptake and small material footprint, ENM-CNT equilibrium passive samplers represent a promising alternative to complement traditional integrative passive samplers while offering convenience over large volume grab sampling.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c00609","usgsCitation":"Qian, J., Martinez, A., Marek, R.F., Nagorzanski, M.R., Zhi, H., Furlong, E., Kolpin, D., LeFevre, G.H., and Cwiertny, D.M., 2020, Polymeric nanofiber-carbon nanotube composite mats as fast-equilibrium passive samplers for polar organic pollutants: Environmental Science & Technology, v. 54, no. 11, p. 6703-6712, https://doi.org/10.1021/acs.est.0c00609.","productDescription":"10 p.","startPage":"6703","endPage":"6712","ipdsId":"IP-114860","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":456924,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7665838","text":"External Repository"},{"id":375847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Qian, Jiajie","contributorId":225499,"corporation":false,"usgs":false,"family":"Qian","given":"Jiajie","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":791354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez, Andres","contributorId":225500,"corporation":false,"usgs":false,"family":"Martinez","given":"Andres","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":791355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marek, Rachel F","contributorId":225501,"corporation":false,"usgs":false,"family":"Marek","given":"Rachel","email":"","middleInitial":"F","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":791356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagorzanski, Matthew R.","contributorId":211881,"corporation":false,"usgs":false,"family":"Nagorzanski","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":791357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhi, Hui","contributorId":225502,"corporation":false,"usgs":false,"family":"Zhi","given":"Hui","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":791358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furlong, Edward 0000-0002-7305-4603","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":213730,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":791359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791360,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeFevre, Gregory H.","contributorId":211880,"corporation":false,"usgs":false,"family":"LeFevre","given":"Gregory","email":"","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":true,"id":791361,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cwiertny, David M.","contributorId":190557,"corporation":false,"usgs":false,"family":"Cwiertny","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":791362,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70209754,"text":"70209754 - 2020 - Lessons learned from monitoring of turbidity currents and guidance for future platform designs","interactions":[],"lastModifiedDate":"2020-06-19T16:37:25.134445","indexId":"70209754","displayToPublicDate":"2020-04-28T08:21:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5279,"text":"Special Publications","onlineIssn":"0149-1768","active":true,"publicationSubtype":{"id":10}},"title":"Lessons learned from monitoring of turbidity currents and guidance for future platform designs","docAbstract":"Turbidity currents transport globally significant volumes of sediment and organic carbon into the deep-sea and pose a hazard to critical infrastructure. Despite advances in technology, their powerful nature often damages expensive instruments placed in their path. These challenges mean that turbidity currents have only been measured in a few locations worldwide, in relatively shallow water depths (<<2 km). Here, we share lessons from recent field deployments about how to design the platforms on which instruments are deployed. First, we show how monitoring platforms have been affected by turbidity currents including instability, displacement, tumbling and damage. Second, we relate these issues to specifics of the platform design, such as exposure of large surface area instruments within a flow and inadequate anchoring or seafloor support. Third, we provide recommended improvements to improve design by simplifying mooring configurations, minimising surface area, and enhancing seafloor stability. Finally we highlight novel multi-point moorings that avoid interaction between the instruments and the flow, and flow-resilient seafloor platforms with innovative engineering design features, such as ejectable feet and ballast. Our experience will provide guidance for future deployments, so that more detailed insights can be provided into turbidity current behaviour, and in a wider range of settings.","language":"English","publisher":"The Geological Society of London","doi":"10.1144/SP500-2019-173","usgsCitation":"Clare, M., Lintern, D.G., Rosenberger, K.J., Clarke, J., Paull, C.K., Gwiazda, R., Cartigny, M.J., Talling, P.J., Perara, D., Xu, J., Parsons, D., Jacinto, R.S., and Apprioual, R., 2020, Lessons learned from monitoring of turbidity currents and guidance for future platform designs: Special Publications, v. 500, p. 605-634, https://doi.org/10.1144/SP500-2019-173.","productDescription":"30 p.","startPage":"605","endPage":"634","ipdsId":"IP-113148","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/sp500-2019-173","text":"Publisher Index Page"},{"id":374312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"500","noUsgsAuthors":false,"publicationDate":"2020-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Clare, Michael","contributorId":213585,"corporation":false,"usgs":false,"family":"Clare","given":"Michael","email":"","affiliations":[{"id":38805,"text":"National Oceanography Centre, University of Southampton Waterfront Campus, European Way, Southampton, SO14 3ZH, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":787849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lintern, D. 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The IEEM+ESM Platform is an innovative decision-making framework for exploring complex public policy goals and elucidating synergies and trade-offs between alternative policy portfolios. The IEEM+ESM approach is powerful in its ability to shed light on (i) change in land use and ecosystem services driven by public policy and the supply and demand responses of businesses and households; and (ii) impacts on standard economic indicators of concern to Ministries of Finance such as gross domestic product and employment, as well as changes in wealth and ecosystem services. The IEEM+ESM approach is being adopted rapidly and by the end of 2020, IEEM+ESM Platforms will be implemented for about 25 countries. To demonstrate the insights generated by the IEEM+ESM approach, we apply it to the analysis of alternative green growth strategies in Rwanda, a country that has made strong progress in reducing poverty and enhancing economic growth in the last 15 years. The case of Rwanda is particularly compelling as it faces intense pressure on its natural capital base and ecosystem services, already with the highest population density in Africa, which is projected to double by 2050. In applying IEEM+ESM and comparing the outcomes of Rwanda’s green growth policies, increasing fertilization of agricultural crops shows the largest economic gains but also trade-offs in environmental quality reflected through higher nutrient export and reduced water quality. Combining crop fertilization with forest plantations better balances critical ecosystem services and their role in underpinning economic development as Rwanda progresses toward its target of middle-income status by 2035. This application to Rwanda’s green growth strategy demonstrates the value-added of the IEEM+ESM approach in generating results that speak to both economic outcomes and impacts on market and non-market ecosystem services.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.138779","collaboration":"","usgsCitation":"Banerjee, O., Bagstad, K.J., Cicowiecz, M., Dudek, S., Horridge, M., Alavalapati, J., Masozera, M.K., Rukundo, E., and Rutebuka, E., 2020, Economic, land use, and ecosystem services impacts of Rwanda's Green Growth Strategy: An application of the IEEM+ESM platform: Science of the Total Environment, v. 729, no. , https://doi.org/10.1016/j.scitotenv.2020.138779.","productDescription":"138779, 21 p.","startPage":"","ipdsId":"IP-110054","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":456930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.138779","text":"Publisher Index Page"},{"id":374453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Rwanda","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[30.4191,-1.13466],[30.81613,-1.69891],[30.75831,-2.28725],[30.4697,-2.41386],[29.93836,-2.34849],[29.63218,-2.91786],[29.02493,-2.83926],[29.11748,-2.29221],[29.25483,-2.21511],[29.29189,-1.62006],[29.57947,-1.34131],[29.82152,-1.44332],[30.4191,-1.13466]]]},\"properties\":{\"name\":\"Rwanda\"}}]}","volume":"729","issue":"","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banerjee, Onil","contributorId":224437,"corporation":false,"usgs":false,"family":"Banerjee","given":"Onil","email":"","affiliations":[{"id":40887,"text":"Inter-American Development Bank","active":true,"usgs":false}],"preferred":false,"id":788365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cicowiecz, Martin","contributorId":224438,"corporation":false,"usgs":false,"family":"Cicowiecz","given":"Martin","email":"","affiliations":[{"id":40888,"text":"Universidad Nacional de la Plata","active":true,"usgs":false}],"preferred":false,"id":788367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudek, Sebastian","contributorId":224439,"corporation":false,"usgs":false,"family":"Dudek","given":"Sebastian","email":"","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":788368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horridge, Mark 0000-0002-1070-5763","orcid":"https://orcid.org/0000-0002-1070-5763","contributorId":224440,"corporation":false,"usgs":false,"family":"Horridge","given":"Mark","email":"","affiliations":[{"id":27874,"text":"Victoria University","active":true,"usgs":false}],"preferred":false,"id":788369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alavalapati, Janaki","contributorId":224441,"corporation":false,"usgs":false,"family":"Alavalapati","given":"Janaki","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":788370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Masozera, Michel K.","contributorId":201300,"corporation":false,"usgs":false,"family":"Masozera","given":"Michel","email":"","middleInitial":"K.","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":788371,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rukundo, Emmanuel 0000-0002-3220-3422","orcid":"https://orcid.org/0000-0002-3220-3422","contributorId":222903,"corporation":false,"usgs":false,"family":"Rukundo","given":"Emmanuel","email":"","affiliations":[{"id":16866,"text":"Beijing Normal University","active":true,"usgs":false}],"preferred":false,"id":788372,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rutebuka, Evariste 0000-0001-9267-3349","orcid":"https://orcid.org/0000-0001-9267-3349","contributorId":222904,"corporation":false,"usgs":false,"family":"Rutebuka","given":"Evariste","email":"","affiliations":[{"id":40626,"text":"University of Ibadan","active":true,"usgs":false}],"preferred":false,"id":788373,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}