{"pageNumber":"845","pageRowStart":"21100","pageSize":"25","recordCount":165496,"records":[{"id":70196417,"text":"70196417 - 2018 - The future of fish passage science, engineering, and practice","interactions":[],"lastModifiedDate":"2018-04-06T10:40:10","indexId":"70196417","displayToPublicDate":"2018-04-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"The future of fish passage science, engineering, and practice","docAbstract":"<p><span>Much effort has been devoted to developing, constructing and refining fish passage facilities to enable target species to pass barriers on fluvial systems, and yet, fishway science, engineering and practice remain imperfect. In this review, 17 experts from different fish passage research fields (i.e., biology, ecology, physiology, ecohydraulics, engineering) and from different continents (i.e., North and South America, Europe, Africa, Australia) identified knowledge gaps and provided a roadmap for research priorities and technical developments. Once dominated by an engineering‐focused approach, fishway science today involves a wide range of disciplines from fish behaviour to socioeconomics to complex modelling of passage prioritization options in river networks. River barrier impacts on fish migration and dispersal are currently better understood than historically, but basic ecological knowledge underpinning the need for effective fish passage in many regions of the world, including in biodiversity hotspots (e.g., equatorial Africa, South‐East Asia), remains largely unknown. Designing efficient fishways, with minimal passage delay and post‐passage impacts, requires adaptive management and continued innovation. While the use of fishways in river restoration demands a transition towards fish passage at the community scale, advances in selective fishways are also needed to manage invasive fish colonization. Because of the erroneous view in some literature and communities of practice that fish passage is largely a proven technology, improved international collaboration, information sharing, method standardization and multidisciplinary training are needed. Further development of regional expertise is needed in South America, Asia and Africa where hydropower dams are currently being planned and constructed.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/faf.12258","usgsCitation":"Silva, A.T., Lucas, M.C., Castro-Santos, T.R., Katopodis, C., Baumgartner, L.J., Thiem, J.D., Aarestrup, K., Pompeu, P.S., O’Brien, G.C., Braun, D.C., Burnett, N.J., Zhu, D.Z., Fjeldstad, H., Forseth, T., Rajarathnam, N., Williams, J.G., and Cooke, S., 2018, The future of fish passage science, engineering, and practice: Fish and Fisheries, v. 19, no. 2, p. 340-362, https://doi.org/10.1111/faf.12258.","productDescription":"23 p.","startPage":"340","endPage":"362","ipdsId":"IP-084784","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468845,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/faf.12258","text":"Publisher Index Page"},{"id":353213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-28","publicationStatus":"PW","scienceBaseUri":"5afee6e6e4b0da30c1bfbf0e","contributors":{"authors":[{"text":"Silva, Ana T.","contributorId":203987,"corporation":false,"usgs":false,"family":"Silva","given":"Ana","email":"","middleInitial":"T.","affiliations":[{"id":36784,"text":"Norsk Institutt for Naturforskning","active":true,"usgs":false}],"preferred":false,"id":732839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Martyn C.","contributorId":18725,"corporation":false,"usgs":true,"family":"Lucas","given":"Martyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":732838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katopodis, Christos","contributorId":203989,"corporation":false,"usgs":false,"family":"Katopodis","given":"Christos","email":"","affiliations":[{"id":36786,"text":"Katopodis Ecohydraulics Ltd","active":true,"usgs":false}],"preferred":false,"id":732841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baumgartner, Lee J.","contributorId":203990,"corporation":false,"usgs":false,"family":"Baumgartner","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36787,"text":"Charles Sturt University, Institute for Land, Water, and Society","active":true,"usgs":false}],"preferred":false,"id":732842,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thiem, Jason D.","contributorId":75421,"corporation":false,"usgs":true,"family":"Thiem","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":732843,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aarestrup, Kim","contributorId":203992,"corporation":false,"usgs":false,"family":"Aarestrup","given":"Kim","email":"","affiliations":[{"id":36789,"text":"Danmarks Tekniske Universitet","active":true,"usgs":false}],"preferred":false,"id":732844,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pompeu, Paulo S.","contributorId":203993,"corporation":false,"usgs":false,"family":"Pompeu","given":"Paulo","email":"","middleInitial":"S.","affiliations":[{"id":36790,"text":"Universidad Federal de Lavras, Department de Biologia","active":true,"usgs":false}],"preferred":false,"id":732845,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O’Brien, Gordon C.","contributorId":203994,"corporation":false,"usgs":false,"family":"O’Brien","given":"Gordon","email":"","middleInitial":"C.","affiliations":[{"id":36791,"text":"University of KwaZulu-Natal, School of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":732846,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Braun, Douglas C.","contributorId":204003,"corporation":false,"usgs":false,"family":"Braun","given":"Douglas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732875,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Burnett, Nicholas J.","contributorId":203995,"corporation":false,"usgs":false,"family":"Burnett","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":36792,"text":"University of British Columbia, Forest and Conservation Sciences","active":true,"usgs":false}],"preferred":false,"id":732847,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhu, David Z.","contributorId":203996,"corporation":false,"usgs":false,"family":"Zhu","given":"David","email":"","middleInitial":"Z.","affiliations":[{"id":36793,"text":"Department of Civil and Environmental Engineering, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":732848,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fjeldstad, Hans-Petter","contributorId":203997,"corporation":false,"usgs":false,"family":"Fjeldstad","given":"Hans-Petter","email":"","affiliations":[{"id":36794,"text":"SINTEF Energy AS","active":true,"usgs":false}],"preferred":false,"id":732849,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Forseth, Torbjorn","contributorId":203998,"corporation":false,"usgs":false,"family":"Forseth","given":"Torbjorn","email":"","affiliations":[{"id":36784,"text":"Norsk Institutt for Naturforskning","active":true,"usgs":false}],"preferred":false,"id":732850,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rajarathnam, Nallamuthu","contributorId":203999,"corporation":false,"usgs":false,"family":"Rajarathnam","given":"Nallamuthu","email":"","affiliations":[{"id":36793,"text":"Department of Civil and Environmental Engineering, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":732851,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Williams, John G.","contributorId":10270,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":732852,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":732853,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70196441,"text":"70196441 - 2018 - Movements and landscape use of Eastern Imperial Eagles Aquila heliaca in Central Asia","interactions":[],"lastModifiedDate":"2018-08-10T13:42:21","indexId":"70196441","displayToPublicDate":"2018-04-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1052,"text":"Bird Study","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movements and landscape use of Eastern Imperial Eagles <i>Aquila heliaca</i> in Central Asia","title":"Movements and landscape use of Eastern Imperial Eagles Aquila heliaca in Central Asia","docAbstract":"<p><strong>Capsule:</strong><span>&nbsp;</span>We describe ecological factors associated with movements of a globally declining raptor species, the Eastern Imperial Eagle<span>&nbsp;</span><i>Aquila heliaca</i>.</p><p><strong>Aims:</strong><span>&nbsp;</span>To describe the movements, habitat associations and resource selection of Eastern Imperial Eagles marked in Central Asia.</p><p><strong>Methods:</strong><span>&nbsp;</span>We used global positioning system (GPS) data sent via satellite telemetry devices deployed on Eastern Imperial Eagles captured in Kazakhstan to calculate distances travelled and to associate habitat and weather variables with eagle locations collected throughout the annual cycle. We also used resource selection models to evaluate habitat use of tracked birds during autumn migration. Separately, we used wing-tagging recovery data to broaden our understanding of wintering locations of eagles.</p><p><strong>Results:</strong><span>&nbsp;</span>Eagles tagged in Kazakhstan wintered in most countries on the Arabian Peninsula, as well as Iran and India. The adult eagle we tracked travelled more efficiently than did the four pre-adults. During autumn migration, telemetered eagles used a mixture of vegetation types, but during winter and summer, they primarily used bare and sparsely vegetated areas. Finally, telemetered birds used orographic updrafts to subsidize their autumn migration flight, but they relied on thermal updrafts during spring migration.</p><p><strong>Conclusion:</strong><span>&nbsp;</span>Our study is the first to use GPS telemetry to describe year-round movements and habitat associations of Eastern Imperial Eagles in Central Asia. Our findings provide insight into the ecology of this vulnerable raptor species that can contribute to conservation efforts on its behalf.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00063657.2018.1447907","usgsCitation":"Poessel, S.A., Bragin, E.A., Sharpe, P.B., Garcelon, D.K., Bartoszuk, K., and Katzner, T., 2018, Movements and landscape use of Eastern Imperial Eagles Aquila heliaca in Central Asia: Bird Study, v. 65, no. 2, p. 208-218, https://doi.org/10.1080/00063657.2018.1447907.","productDescription":"11 p.","startPage":"208","endPage":"218","ipdsId":"IP-090963","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":353242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-04","publicationStatus":"PW","scienceBaseUri":"5afee6e6e4b0da30c1bfbf0a","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":732919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragin, Evgeny A.","contributorId":194894,"corporation":false,"usgs":false,"family":"Bragin","given":"Evgeny","email":"","middleInitial":"A.","affiliations":[{"id":35656,"text":"Science Department, Naurzum National Nature Reserve, Kostanay Oblast, Naurzumski Raijon, Karamendy, Kazakhstan","active":true,"usgs":false}],"preferred":false,"id":732920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Peter B.","contributorId":204011,"corporation":false,"usgs":false,"family":"Sharpe","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":36796,"text":"Institute for Wildlife Studies, Arcata, CA, USA","active":true,"usgs":false}],"preferred":false,"id":732921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcelon, David K.","contributorId":204012,"corporation":false,"usgs":false,"family":"Garcelon","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":36796,"text":"Institute for Wildlife Studies, Arcata, CA, USA","active":true,"usgs":false}],"preferred":false,"id":732922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartoszuk, Kordian","contributorId":204013,"corporation":false,"usgs":false,"family":"Bartoszuk","given":"Kordian","email":"","affiliations":[{"id":36797,"text":"Aquila, Grzędy 2, 19-206 Rajgrod, Poland","active":true,"usgs":false}],"preferred":false,"id":732923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":732924,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198906,"text":"70198906 - 2018 - Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska","interactions":[],"lastModifiedDate":"2018-08-29T17:43:49","indexId":"70198906","displayToPublicDate":"2018-04-05T13:58:07","publicationYear":"2018","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":"Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska","docAbstract":"<p><span>Western Alaska is a potential point-of-entry for foreign-origin influenza A viruses (IAVs) into North America via migratory birds. We sampled waterfowl and gulls for IAVs at Izembek National Wildlife Refuge (NWR) in western Alaska, USA, during late summer and autumn months of 2011–2015, to evaluate the abundance and diversity of viruses at this site. We collected 4842 samples across five years from 25 species of wild birds resulting in the recovery, isolation, and sequencing of 172 IAVs. With the intent of optimizing sampling efficiencies, we used information derived from this multi-year effort to: 1) evaluate from which species we consistently recover viruses, 2) describe viral subtypes of isolates by host species and year, 3) characterize viral gene segment sequence diversity with respect to host species, and assess potential differences in the viral lineages among the host groups, and 4) examine how evidence of intercontinental exchange of IAVs relates to host species. We consistently recovered viruses from dabbling ducks (</span><i>Anas spp</i><span>.), emperor geese (</span><i>Chen canagica</i><span>) and glaucous-winged gulls (</span><i>Larus glaucescens</i><span>). There was little evidence for differences in viral subtypes and diversity from different waterfowl hosts, however subtypes and viral diversity varied between waterfowl host groups and glaucous-winged gulls. Furthermore, higher proportions of viral sequences from northern pintails (</span><i>Anas acuta</i><span>), emperor geese and glaucous-winged gulls were grouped in phylogenetic clades that included IAV sequences originating from wild birds sampled in Asia as compared to non-pintail dabbling ducks, a difference that may be related to intercontinental migratory tendencies of host species. Our summary of research and surveillance efforts at Izembek NWR will assist in future prioritization of which hosts to sample and swab types to collect in Alaska and elsewhere in order to maximize isolate recovery, subtype and sequence diversity for resultant viruses, and detection of evidence for intercontinental viral exchange.</span></p>","language":"English ","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0195327","usgsCitation":"Reeves, A.B., Hall, J., Poulson, R., Donnelly, T.F., Stallknecht, D.E., and Ramey, A.M., 2018, Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska: PLoS ONE, v. 13, no. 4, e0195327; 26 p., https://doi.org/10.1371/journal.pone.0195327.","productDescription":"e0195327; 26 p.","ipdsId":"IP-093440","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":460961,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0195327","text":"Publisher Index Page"},{"id":437958,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JD4W2W","text":"USGS data release","linkHelpText":"Influenza A Virus Data from Migratory Birds, Izembek National Wildlife Refuge, Alaska"},{"id":356741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Izembek National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.42987060546875,\n              55.02802211299252\n            ],\n            [\n              -162.46856689453125,\n              55.02802211299252\n            ],\n            [\n              -162.46856689453125,\n              55.51774716789874\n            ],\n            [\n              -163.42987060546875,\n              55.51774716789874\n            ],\n            [\n              -163.42987060546875,\n              55.02802211299252\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-04-05","publicationStatus":"PW","scienceBaseUri":"5b98a2d9e4b0702d0e842fff","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":743369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Jeffery S. 0000-0001-5599-2826","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":87049,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffery S.","affiliations":[],"preferred":false,"id":743370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":743371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donnelly, Tyrone F. tfdonnelly@usgs.gov","contributorId":4369,"corporation":false,"usgs":true,"family":"Donnelly","given":"Tyrone","email":"tfdonnelly@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":743372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":743374,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196399,"text":"70196399 - 2018 - Featured collection introduction: Connectivity of streams and wetlands to downstream waters","interactions":[],"lastModifiedDate":"2018-04-05T11:09:00","indexId":"70196399","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Featured collection introduction: Connectivity of streams and wetlands to downstream waters","docAbstract":"<p><span>Connectivity is a fundamental but highly dynamic property of watersheds. Variability in the types and degrees of aquatic ecosystem connectivity presents challenges for researchers and managers seeking to accurately quantify its effects on critical hydrologic, biogeochemical, and biological processes. However, protecting natural gradients of connectivity is key to protecting the range of ecosystem services that aquatic ecosystems provide. In this featured collection, we review the available evidence on connections and functions by which streams and wetlands affect the integrity of downstream waters such as large rivers, lakes, reservoirs, and estuaries. The reviews in this collection focus on the types of waters whose protections under the U.S. Clean Water Act have been called into question by U.S. Supreme Court cases. We synthesize 40+ years of research on longitudinal, lateral, and vertical fluxes of energy, material, and biota between aquatic ecosystems included within the Act's frame of reference. Many questions about the roles of streams and wetlands in sustaining downstream water integrity can be answered from currently available literature, and emerging research is rapidly closing data gaps with exciting new insights into aquatic connectivity and function at local, watershed, and regional scales. Synthesis of foundational and emerging research is needed to support science‐based efforts to provide safe, reliable sources of fresh water for present and future generations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12630","usgsCitation":"Alexander, L.C., Fritz, K.M., Schofield, K., Autrey, B., DeMeester, J., Golden, H.E., Goodrich, D.C., Kepner, W.G., Kiperwas, H.R., Lane, C., LeDuc, S.D., Leibowitz, S., McManus, M., Pollard, A.I., Ridley, C.E., Vanderhoof, M.K., and Wigington, P., 2018, Featured collection introduction: Connectivity of streams and wetlands to downstream waters: Journal of the American Water Resources Association, v. 54, no. 2, p. 287-297, https://doi.org/10.1111/1752-1688.12630.","productDescription":"11 p.","startPage":"287","endPage":"297","ipdsId":"IP-086537","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":353177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf20","contributors":{"authors":[{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA 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,{"id":70196394,"text":"70196394 - 2018 - Montane-breeding bird distribution and abundance across national parks of southwestern Alaska","interactions":[],"lastModifiedDate":"2018-06-04T16:07:16","indexId":"70196394","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Montane-breeding bird distribution and abundance across national parks of southwestern Alaska","docAbstract":"<p>Between 2004 and 2008, biologists conducted an inventory of breeding birds during May–June primarily in montane areas (&gt;100 m above sea level) in Aniakchak National Monument and Preserve (Aniakchak NMP), Katmai National Park and Preserve (Katmai NPP), and Lake Clark National Park and Preserve (Lake Clark NPP) in southwestern Alaska. Observers conducted 1,021 point counts along 169 transects within 63 10-km × 10-km plots that were randomly selected and stratified by ecological subsection. We created hierarchical N-mixture models to estimate detection probability and abundance for 15 species, including 12 passerines, 2 galliforms, and 1 shorebird. We first modeled detection probability relative to observer, date within season, and proportion of dense vegetation cover around the point, then modeled abundance as a function of land cover composition (proportion of seven coarse-scale land cover types) within 300 m of the survey point. Land cover relationships varied widely among species but most showed selection for low to tall shrubs (0.2–5 m tall) and an avoidance of alpine and 2 dwarf shrub–herbaceous cover types. After adjusting for species not observed, we estimated a minimum of 107 ± 9 species bred in the areas surveyed within the three parks combined. Species richness was negatively associated with elevation and associated land cover types. At comparable levels of survey effort (n = 721 birds detected), species richness was greatest in Lake Clark NPP (75 ± 12 species), lowest in Aniakchak NMP (45 ± 6 species), and intermediate at Katmai NPP (59 ± 10 species). Species richness was similar at equivalent survey effort (n = 973 birds detected) within the Lime Hills, Alaska Range, and Alaska Peninsula ecoregions (68 ± 8; 79 ± 11; 67 ± 11, respectively). Species composition was similar across all three parks and across the three major ecoregions (Alaska Range, Alaska Peninsula, Lime Hills) that encompass them. Our results provide baseline estimates of relative abundance and models of abundance and species richness relative to land cover that can be used to assess future changes in avian distribution. Additionally, these subarctic montane parks may serve as signals of landscape change and barometers for the assessment of population and distributional changes as a result of warming temperatures and changing precipitation patterns. </p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/062017-JFWM-050","usgsCitation":"Amundson, C.L., Handel, C.M., Ruthrauff, D.R., Tibbitts, T.L., and Gill, R., 2018, Montane-breeding bird distribution and abundance across national parks of southwestern Alaska: Journal of Fish and Wildlife Management, v. 9, no. 1, p. 180-207, https://doi.org/10.3996/062017-JFWM-050.","productDescription":"28 p.","startPage":"180","endPage":"207","ipdsId":"IP-085392","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":501965,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1IYXYTN","text":"USGS data release","linkHelpText":"Data Supporting the Inventory of Montane-nesting Birds in Katmai National Park and Preserve and Lake Clark National Park and Preserve, Alaska"},{"id":468850,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/062017-jfwm-050","text":"Publisher Index Page"},{"id":437960,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KW50B3","text":"USGS data release","linkHelpText":"Data from the Inventory of Montane-nesting Birds in the Aniakchak National Monument and Preserve, Alaska"},{"id":437959,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MW2GD3","text":"USGS data release","linkHelpText":"Data for Montane-breeding Bird Distribution and Abundance across National Parks of Southwestern Alaska, 2004-2008"},{"id":353183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.5,\n              56.5\n            ],\n            [\n              -152.5,\n              56.5\n            ],\n            [\n              -152.5,\n              61.5\n            ],\n            [\n              -158.5,\n              61.5\n            ],\n            [\n              -158.5,\n              56.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-22","publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf22","contributors":{"authors":[{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":732733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":732734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196950,"text":"70196950 - 2018 - Weather and landscape factors affect white-tailed deer neonate survival at ecologically important life stages in the Northern Great Plains","interactions":[],"lastModifiedDate":"2018-05-14T15:58:04","indexId":"70196950","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","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":"Weather and landscape factors affect white-tailed deer neonate survival at ecologically important life stages in the Northern Great Plains","docAbstract":"<p><span>Offspring survival is generally more variable than adult survival and may limit population growth. Although white-tailed deer neonate survival has been intensively investigated, recent work has emphasized how specific cover types influence neonate survival at local scales (single study area). These localized investigations have often led to inconsistences within the literature. Developing specific hypotheses describing the relationships among environmental, habitat, and landscape factors influencing white-tailed deer neonate survival at regional scales may allow for detection of generalized patterns. Therefore, we developed 11 hypotheses representing the various effects of environmental (e.g., winter and spring weather), habitat (e.g., hiding and escape cover types), and landscape factors (e.g., landscape configuration regardless of specific cover type available) on white-tailed deer neonate survival up to one-month and from one- to three-months of age. At one-month, surviving fawns experienced a warmer lowest recorded June temperature and more June precipitation than those that perished. At three-months, patch connectance (percent of patches of the corresponding patch type that are connected within a predefined distance) positively influenced survival. Our results are consistent with white-tailed deer neonate ecology: increased spring temperature and precipitation are likely associated with a flush of nutritional resources available to the mother, promoting increased lactation efficiency and neonate growth early in life. In contrast, reduced spring temperature with increased precipitation place neonates at risk to hypothermia. Increased patch connectance likely reflects increased escape cover available within a neonate’s home range after they are able to flee from predators. If suitable escape cover is available on the landscape, then managers could focus efforts towards manipulating landscape configuration (patch connectance) to promote increased neonate survival while monitoring spring weather to assess potential influences on current year survival.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0195247","usgsCitation":"Michel, E.S., Jenks, J.A., Kaskie, K.D., Klaver, R.W., and Jensen, W.F., 2018, Weather and landscape factors affect white-tailed deer neonate survival at ecologically important life stages in the Northern Great Plains: PLoS ONE, v. 13, no. 4, p. 1-17, https://doi.org/10.1371/journal.pone.0195247.","productDescription":"e0195247; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-085827","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70196400,"text":"70196400 - 2018 - Biota connect aquatic habitats throughout freshwater ecosystem mosaics","interactions":[],"lastModifiedDate":"2018-04-05T11:25:03","indexId":"70196400","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Biota connect aquatic habitats throughout freshwater ecosystem mosaics","docAbstract":"<p><span>Freshwater ecosystems are linked at various spatial and temporal scales by movements of biota adapted to life in water. We review the literature on movements of aquatic organisms that connect different types of freshwater habitats, focusing on linkages from streams and wetlands to downstream waters. Here, streams, wetlands, rivers, lakes, ponds, and other freshwater habitats are viewed as dynamic freshwater ecosystem mosaics (FEMs) that collectively provide the resources needed to sustain aquatic life. Based on existing evidence, it is clear that biotic linkages throughout FEMs have important consequences for biological integrity and biodiversity. All aquatic organisms move within and among FEM components, but differ in the mode, frequency, distance, and timing of their movements. These movements allow biota to recolonize habitats, avoid inbreeding, escape stressors, locate mates, and acquire resources. Cumulatively, these individual movements connect populations within and among FEMs and contribute to local and regional diversity, resilience to disturbance, and persistence of aquatic species in the face of environmental change. Thus, the biological connections established by movement of biota among streams, wetlands, and downstream waters are critical to the ecological integrity of these systems. Future research will help advance our understanding of the movements that link FEMs and their cumulative effects on downstream waters.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12634","usgsCitation":"Schofield, K.A., Alexander, L.C., Ridley, C.E., Vanderhoof, M.K., Fritz, K.M., Autrey, B., DeMeester, J., Kepner, W.G., Lane, C., Leibowitz, S., and Pollard, A.I., 2018, Biota connect aquatic habitats throughout freshwater ecosystem mosaics: Journal of the American Water Resources Association, v. 54, no. 2, p. 372-399, https://doi.org/10.1111/1752-1688.12634.","productDescription":"28 p.","startPage":"372","endPage":"399","ipdsId":"IP-085914","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468847,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6621606","text":"External Repository"},{"id":353181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf1e","contributors":{"authors":[{"text":"Schofield, Kate A.","contributorId":203969,"corporation":false,"usgs":false,"family":"Schofield","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":732761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridley, Caroline E.","contributorId":203967,"corporation":false,"usgs":false,"family":"Ridley","given":"Caroline","email":"","middleInitial":"E.","affiliations":[{"id":36774,"text":"USEPA NCEA","active":true,"usgs":false}],"preferred":false,"id":732763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":732760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":732764,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Autrey, Bradley","contributorId":203961,"corporation":false,"usgs":false,"family":"Autrey","given":"Bradley","email":"","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":732765,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeMeester, Julie","contributorId":203962,"corporation":false,"usgs":false,"family":"DeMeester","given":"Julie","email":"","affiliations":[{"id":34601,"text":"Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":732766,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kepner, William G.","contributorId":174144,"corporation":false,"usgs":false,"family":"Kepner","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":732767,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":732768,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leibowitz, Scott","contributorId":192092,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","affiliations":[],"preferred":false,"id":732769,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pollard, Amina I.","contributorId":203965,"corporation":false,"usgs":false,"family":"Pollard","given":"Amina","email":"","middleInitial":"I.","affiliations":[{"id":36775,"text":"USEPA, Office of Water","active":true,"usgs":false}],"preferred":false,"id":732770,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70177892,"text":"sim3215 - 2018 - Geologic map of the Lower Valley quadrangle, Caribou County, Idaho","interactions":[],"lastModifiedDate":"2018-04-06T11:05:07","indexId":"sim3215","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","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":"3215","title":"Geologic map of the Lower Valley quadrangle, Caribou County, Idaho","docAbstract":"<p><span>The Lower Valley 7.5-minute quadrangle, located in the core of the Southeast Idaho Phosphate Resource Area, includes Mississippian to Triassic marine sedimentary rocks, Pliocene to Pleistocene basalt, and Tertiary to Holocene surficial deposits. The Mississippian to Triassic marine sedimentary sequence was deposited on a shallow shelf between an emergent craton to the east and the Antler orogenic belt to the west. The Meade Peak Phosphatic Shale Member of the Permian Phosphoria Formation hosts high-grade deposits of phosphate that were the subject of geologic studies through much of the 20th century. Open-pit mining of the phosphate has been underway within and near the Lower Valley quadrangle for several decades.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3215","usgsCitation":"Oberlindacher, H.P., Hovland, R.D., Miller, S.T. , Evans, J.G., and Miller, R.J., 2018, Geologic map of the Lower Valley quadrangle, Caribou County, Idaho: U.S. Geological Survey Scientific Investigations Map 3215, 6 p., 1 sheet, scale 1:24,000, https://doi.org/10.3133/sim3215.","productDescription":"Map: 35.72 x 31.32 inches; Pamphlet: iii, 6 p.; Spatial Data; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088533","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":353192,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_mapsheet.pdf","text":"Geologic Map","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3215 Sheet"},{"id":353193,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_metadata.txt","size":"45 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3215 Metadata"},{"id":353194,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_geodatabase.zip","text":"Geodatabase","size":"1.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3215 Geodatabase"},{"id":353195,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_shapefiles.zip","text":"Shapefiles","size":"2.2 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3215 Shapefiles"},{"id":353196,"rank":8,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3215/SIM3215_basemap.zip","text":"Base map","size":"7.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3215 Base map"},{"id":353189,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3215/coverthb.jpg"},{"id":353190,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_pamphlet.pdf","text":"Pamphlet","size":"405 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3215 Pamphlet"},{"id":353191,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_readme.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3215 Read Me"}],"country":"United States","state":"Idaho","county":"Caribou County","otherGeospatial":"Lower Valley quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.375,\n              42.875\n            ],\n            [\n              -111.5,\n              42.875\n            ],\n            [\n              -111.5,\n              42.75\n            ],\n            [\n              -111.375,\n              42.75\n            ],\n            [\n              -111.375,\n              42.875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<div><a href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\" data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\">Director</a>,<br><a href=\"http://geomaps.wr.usgs.gov/\" data-mce-href=\"http://geomaps.wr.usgs.gov/\">Geology, Minerals, Energy, &amp; Geophysics Science Center in Tucson</a></div><div><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey<br></a>c/o University of Arizona&nbsp;<br>ENRB Bldg, 520 N. Park Ave, Rm 355<br>Tucson, AZ 85719-5035</div>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Synopsis of Geology<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-04-05","noUsgsAuthors":false,"publicationDate":"2018-04-05","publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf24","contributors":{"authors":[{"text":"Oberlindacher, H. Peter","contributorId":176273,"corporation":false,"usgs":false,"family":"Oberlindacher","given":"H.","email":"","middleInitial":"Peter","affiliations":[],"preferred":false,"id":724095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hovland, R. David","contributorId":176274,"corporation":false,"usgs":false,"family":"Hovland","given":"R.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":724096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Susan T.","contributorId":176275,"corporation":false,"usgs":false,"family":"Miller","given":"Susan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":724097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, James G. jevans@usgs.gov","contributorId":2396,"corporation":false,"usgs":true,"family":"Evans","given":"James","email":"jevans@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":724098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Robert J. rjmiller@usgs.gov","contributorId":2516,"corporation":false,"usgs":true,"family":"Miller","given":"Robert","email":"rjmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724099,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196401,"text":"70196401 - 2018 - Connectivity of streams and wetlands to downstream waters: An integrated systems framework","interactions":[],"lastModifiedDate":"2018-04-05T11:29:37","indexId":"70196401","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Connectivity of streams and wetlands to downstream waters: An integrated systems framework","docAbstract":"<p><span>Interest in connectivity has increased in the aquatic sciences, partly because of its relevance to the Clean Water Act. This paper has two objectives: (1) provide a framework to understand hydrological, chemical, and biological connectivity, focusing on how headwater streams and wetlands connect to and contribute to rivers; and (2) briefly review methods to quantify hydrological and chemical connectivity. Streams and wetlands affect river structure and function by altering material and biological fluxes to the river; this depends on two factors: (1) functions within streams and wetlands that affect material fluxes; and (2) connectivity (or isolation) from streams and wetlands to rivers that allows (or prevents) material transport between systems. Connectivity can be described in terms of frequency, magnitude, duration, timing, and rate of change. It results from physical characteristics of a system, e.g., climate, soils, geology, topography, and the spatial distribution of aquatic components. Biological connectivity is also affected by traits and behavior of the biota. Connectivity can be altered by human impacts, often in complex ways. Because of variability in these factors, connectivity is not constant but varies over time and space. Connectivity can be quantified with field‐based methods, modeling, and remote sensing. Further studies using these methods are needed to classify and quantify connectivity of aquatic ecosystems and to understand how impacts affect connectivity.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12631","usgsCitation":"Leibowitz, S.G., Wigington, P., Schoefield, K.A., Alexander, L.C., Vanderhoof, M.K., and Golden, H.E., 2018, Connectivity of streams and wetlands to downstream waters: An integrated systems framework: Journal of the American Water Resources Association, v. 54, no. 2, p. 298-322, https://doi.org/10.1111/1752-1688.12631.","productDescription":"25 p.","startPage":"298","endPage":"322","ipdsId":"IP-082971","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468849,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6071435","text":"Publisher Index Page"},{"id":353182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf1c","contributors":{"authors":[{"text":"Leibowitz, Scott G.","contributorId":156432,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":732772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wigington, Parker J.","contributorId":203968,"corporation":false,"usgs":false,"family":"Wigington","given":"Parker J.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":732773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoefield, Kate A.","contributorId":203970,"corporation":false,"usgs":false,"family":"Schoefield","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":732774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":732771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":732776,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196100,"text":"ofr20181042 - 2018 - Digital representation of exposures of Precambrian bedrock in parts of Dickinson and Iron Counties, Michigan, and Florence and Marinette Counties, Wisconsin","interactions":[],"lastModifiedDate":"2018-04-04T14:46:32","indexId":"ofr20181042","displayToPublicDate":"2018-04-04T09:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1042","title":"Digital representation of exposures of Precambrian bedrock in parts of Dickinson and Iron Counties, Michigan, and Florence and Marinette Counties, Wisconsin","docAbstract":"<p>The U.S. Geological Survey (USGS) conducted a program of bedrock geologic mapping in much of the central and western Upper Peninsula of Michigan from the 1940s until the late 1990s. Geologic studies in this region are hampered by a scarcity of bedrock exposures because of a nearly continuous blanket of unconsolidated sediments resulting from glaciation of the region during the Pleistocene ice ages. The USGS mapping, done largely at a scale of 1:24,000, routinely recorded the location and extent of exposed bedrock to provide both an indication of where direct observations were made and a guide for future investigations to expedite location of observable rock exposures. The locations of outcrops were generally shown as colored or patterned overlays on printed geologic maps. Although those maps have been scanned and are available as Portable Document Format (PDF) files, no further digital portrayal of the outcrops had been done. We have conducted a prototype study of digitizing and improving locational accuracy of the outcrop locations in parts of Dickinson County, Michigan, to form a data layer that can be used with other data layers in geographic information system applications.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181042","usgsCitation":"Cannon, W.F., Schulte, Ruth, and Bickerstaff, Damon, 2018, Digital representation of exposures of Precambrian bedrock in parts of Dickinson and Iron Counties, Michigan, and Florence and Marinette Counties, Wisconsin:  \nU.S. Geological Survey Open-File Report 2018–1042, 3 p., https://doi.org/10.3133/ofr20181042.","productDescription":"Report: 3 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-091916","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":352778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1042/coverthb.jpg"},{"id":352779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1042/ofr20181042.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1042"},{"id":352780,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SJ1JH0","text":"USGS data release","description":"USGS data release"}],"country":"United States","state":"Michigan, Wisconsin","county":"Dickinson County, Florence County, Iron County, Marinette County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.1333,\n              45.75\n            ],\n            [\n              -87.7,\n              45.75\n            ],\n            [\n              -87.7,\n              46.1\n            ],\n            [\n              -88.1333,\n              46.1\n            ],\n            [\n              -88.1333,\n              45.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://minerals.usgs.gov/east/\" data-mce-href=\"https://minerals.usgs.gov/east/\">Eastern Mineral and Environmental Resources</a><br> 12201 Sunrise Valley Drive<br> Mail Stop 954<br> Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-04-04","noUsgsAuthors":false,"publicationDate":"2018-04-04","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf27","contributors":{"authors":[{"text":"Cannon, William F. 0000-0002-2699-8118","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":201972,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Ruth 0000-0003-4724-5905","orcid":"https://orcid.org/0000-0003-4724-5905","contributorId":201973,"corporation":false,"usgs":true,"family":"Schulte","given":"Ruth","email":"","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":731346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bickerstaff, Damon 0000-0003-0887-9761","orcid":"https://orcid.org/0000-0003-0887-9761","contributorId":201974,"corporation":false,"usgs":true,"family":"Bickerstaff","given":"Damon","email":"","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731347,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196373,"text":"70196373 - 2018 - N-mix for fish: estimating riverine salmonid habitat selection via N-mixture models","interactions":[],"lastModifiedDate":"2018-07-03T11:30:22","indexId":"70196373","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"N-mix for fish: estimating riverine salmonid habitat selection via N-mixture models","docAbstract":"<p><span>Models that formulate mathematical linkages between fish use and habitat characteristics are applied for many purposes. For riverine fish, these linkages are often cast as resource selection functions with variables including depth and velocity of water and distance to nearest cover. Ecologists are now recognizing the role that detection plays in observing organisms, and failure to account for imperfect detection can lead to spurious inference. Herein, we present a flexible N-mixture model to associate habitat characteristics with the abundance of riverine salmonids that simultaneously estimates detection probability. Our formulation has the added benefits of accounting for demographics variation and can generate probabilistic statements regarding intensity of habitat use. In addition to the conceptual benefits, model application to data from the Trinity River, California, yields interesting results. Detection was estimated to vary among surveyors, but there was little spatial or temporal variation. Additionally, a weaker effect of water depth on resource selection is estimated than that reported by previous studies not accounting for detection probability. N-mixture models show great promise for applications to riverine resource selection.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0027","usgsCitation":"Som, N.A., Perry, R.W., Jones, E.C., De Juilio, K., Petros, P., Pinnix, W.D., and Rupert, D.L., 2018, N-mix for fish: estimating riverine salmonid habitat selection via N-mixture models: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 7, p. 1048-1058, https://doi.org/10.1139/cjfas-2017-0027.","productDescription":"11 p.","startPage":"1048","endPage":"1058","ipdsId":"IP-086618","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":501089,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/82344","text":"External Repository"},{"id":353134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf2f","contributors":{"authors":[{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":732647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Edward C. 0000-0001-7255-1475 ejones@usgs.gov","orcid":"https://orcid.org/0000-0001-7255-1475","contributorId":203917,"corporation":false,"usgs":true,"family":"Jones","given":"Edward","email":"ejones@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De Juilio, Kyle","contributorId":203918,"corporation":false,"usgs":false,"family":"De Juilio","given":"Kyle","affiliations":[{"id":36756,"text":"Yurok Tribal Fisheries Program, Weaverville, CA 96093","active":true,"usgs":false}],"preferred":false,"id":732649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petros, Paul","contributorId":203920,"corporation":false,"usgs":false,"family":"Petros","given":"Paul","email":"","affiliations":[{"id":36758,"text":"Humboldt State University, Department of Fisheries Biology, Arcata, CA 95521","active":true,"usgs":false}],"preferred":false,"id":732651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pinnix, William D.","contributorId":203925,"corporation":false,"usgs":false,"family":"Pinnix","given":"William","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":732666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rupert, Derek L.","contributorId":203919,"corporation":false,"usgs":false,"family":"Rupert","given":"Derek","email":"","middleInitial":"L.","affiliations":[{"id":36757,"text":"U.S. Fish and Wildlife Service, Arcata FWO, Arcata, CA 95521","active":true,"usgs":false}],"preferred":false,"id":732650,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196387,"text":"70196387 - 2018 - China, the United States, and competition for resources that enable emerging technologies","interactions":[],"lastModifiedDate":"2018-04-24T14:16:01","indexId":"70196387","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"China, the United States, and competition for resources that enable emerging technologies","docAbstract":"<p><span>Historically, resource conflicts have often centered on fuel minerals (particularly oil). Future resource conflicts may, however, focus more on competition for nonfuel minerals that enable emerging technologies. Whether it is rhenium in jet engines, indium in flat panel displays, or gallium in smart phones, obscure elements empower smarter, smaller, and faster technologies, and nations seek stable supplies of these and other nonfuel minerals for their industries. No nation has all of the resources it needs domestically. International trade may lead to international competition for these resources if supplies are deemed at risk or insufficient to satisfy growing demand, especially for minerals used in technologies important to economic development and national security. Here, we compare the net import reliance of China and the United States to inform mineral resource competition and foreign supply risk. Our analysis indicates that China relies on imports for over half of its consumption for 19 of 42 nonfuel minerals, compared with 24 for the United States—11 of which are common to both. It is for these 11 nonfuel minerals that competition between the United States and China may become the most contentious, especially for those with highly concentrated production that prove irreplaceable in pivotal emerging technologies.</span></p>","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1717152115","usgsCitation":"Gulley, A.L., Nassar, N., and Xun, S., 2018, China, the United States, and competition for resources that enable emerging technologies: Proceedings of the National Academy of Sciences of the United States of America, v. 115, no. 16, p. 4111-4115, https://doi.org/10.1073/pnas.1717152115.","productDescription":"5 p.","startPage":"4111","endPage":"4115","ipdsId":"IP-090411","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":468851,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.1073/pnas.1717152115","text":"Publisher Index Page"},{"id":353162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"16","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf29","contributors":{"authors":[{"text":"Gulley, Andrew L. 0000-0003-4717-2080","orcid":"https://orcid.org/0000-0003-4717-2080","contributorId":203953,"corporation":false,"usgs":true,"family":"Gulley","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":732714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":177175,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal T.","email":"nnassar@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":732715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xun, Sean 0000-0002-5784-7048","orcid":"https://orcid.org/0000-0002-5784-7048","contributorId":203954,"corporation":false,"usgs":true,"family":"Xun","given":"Sean","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":732716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196377,"text":"70196377 - 2018 - Distribution and seasonal differences in Pacific Lamprey and Lampetra spp eDNA across 18 Puget Sound watersheds","interactions":[],"lastModifiedDate":"2018-04-04T11:17:32","indexId":"70196377","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Distribution and seasonal differences in Pacific Lamprey and <i>Lampetra spp</i> eDNA across 18 Puget Sound watersheds","title":"Distribution and seasonal differences in Pacific Lamprey and Lampetra spp eDNA across 18 Puget Sound watersheds","docAbstract":"<p><span>Lampreys have a worldwide distribution, are functionally important to ecological communities and serve significant roles in many cultures. In Pacific coast drainages of North America, lamprey populations have suffered large declines. However, lamprey population status and trends within many areas of this region are unknown and such information is needed for advancing conservation goals. We developed two quantitative PCR-based, aquatic environmental DNA (eDNA) assays for detection of Pacific Lamprey (</span><i>Entosphenus tridentatus</i><span>) and<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>spp, using locked nucleic acids (LNAs) in the probe design. We used these assays to characterize the spatial distribution of lamprey in 18 watersheds of Puget Sound, Washington, by collecting water samples in spring and fall. Pacific Lamprey and<span>&nbsp;</span></span><i>Lampetra</i><span>spp were each detected in 14 watersheds and co-occurred in 10 watersheds. Lamprey eDNA detection rates were much higher in spring compared to fall. Specifically, the Pacific Lamprey eDNA detection rate was 3.5 times higher in spring and the<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>spp eDNA detection rate was 1.5 times higher in spring even though larval lamprey are present in streams year-round. This significant finding highlights the importance of seasonality on eDNA detection. Higher stream discharge in the fall likely contributed to reduced eDNA detection rates, although seasonal life history events may have also contributed. These eDNA assays differentiate Pacific Lamprey and<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>spp across much of their range along the west coast of North America. Sequence analysis indicates the Pacific Lamprey assay also targets other<span>&nbsp;</span></span><i>Entosphenus</i><span><span>&nbsp;</span>spp and indicates the<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>spp assay may have limited or no capability of detecting<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>in some locations south of the Columbia River Basin. Nevertheless, these assays will serve as a valuable tool for resource managers and have direct application to lamprey conservation efforts, such as mapping species distributions, occupancy modeling, and monitoring translocations and reintroductions.</span></p>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.4496","usgsCitation":"Ostberg, C.O., Chase, D.M., Hayes, M.C., and Duda, J.J., 2018, Distribution and seasonal differences in Pacific Lamprey and Lampetra spp eDNA across 18 Puget Sound watersheds: PeerJ, v. 6, p. 1-25, https://doi.org/10.7717/peerj.4496.","productDescription":"e4496; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-090879","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468852,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.4496","text":"Publisher Index Page"},{"id":437962,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H994DT","text":"USGS data release","linkHelpText":"Distribution and seasonal differences in Pacific Lamprey and Lampetra spp eDNA across 18 Puget Sound watersheds, 2014 and 2015"},{"id":353142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.61267089843751,\n              46.882723010671945\n            ],\n            [\n              -121.7340087890625,\n              46.882723010671945\n            ],\n            [\n              -121.7340087890625,\n              49.05227025601607\n            ],\n            [\n              -123.61267089843751,\n              49.05227025601607\n            ],\n            [\n              -123.61267089843751,\n              46.882723010671945\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-16","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf2d","contributors":{"authors":[{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chase, Dorothy M. 0000-0002-7759-2687","orcid":"https://orcid.org/0000-0002-7759-2687","contributorId":203926,"corporation":false,"usgs":true,"family":"Chase","given":"Dorothy","email":"","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":145486,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":732670,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196369,"text":"70196369 - 2018 - A laboratory-calibrated model of coho salmon growth with utility for ecological analyses","interactions":[],"lastModifiedDate":"2018-04-24T14:17:03","indexId":"70196369","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A laboratory-calibrated model of coho salmon growth with utility for ecological analyses","docAbstract":"<p><span>We conducted a meta-analysis of laboratory- and hatchery-based growth data to estimate broadly applicable parameters of mass- and temperature-dependent growth of juvenile coho salmon (</span><i>Oncorhynchus kisutch</i><span>). Following studies of other salmonid species, we incorporated the Ratkowsky growth model into an allometric model and fit this model to growth observations from eight studies spanning ten different populations. To account for changes in growth patterns with food availability, we reparameterized the Ratkowsky model to scale several of its parameters relative to ration. The resulting model was robust across a wide range of ration allocations and experimental conditions, accounting for 99% of the variation in final body mass. We fit this model to growth data from coho salmon inhabiting tributaries and constructed ponds in the Klamath Basin by estimating habitat-specific indices of food availability. The model produced evidence that constructed ponds provided higher food availability than natural tributaries. Because of their simplicity (only mass and temperature are required as inputs) and robustness, ration-varying Ratkowsky models have utility as an ecological tool for capturing growth in freshwater fish populations.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0506","usgsCitation":"Manhard, C.V., Som, N.A., Perry, R.W., and Plumb, J.M., 2018, A laboratory-calibrated model of coho salmon growth with utility for ecological analyses: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 5, p. 682-690, https://doi.org/10.1139/cjfas-2016-0506.","productDescription":"9 p.","startPage":"682","endPage":"690","ipdsId":"IP-080976","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468854,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0506","text":"External Repository"},{"id":353137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf31","contributors":{"authors":[{"text":"Manhard, Christopher V.","contributorId":203911,"corporation":false,"usgs":false,"family":"Manhard","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":36754,"text":"U.S. Fish and Wildlife Service, California Cooperative Fish and Wildlife Research Unit, Humboldt State University, 1 Harpst Street, Arcata, CA 95521, USA","active":true,"usgs":false}],"preferred":false,"id":732636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":732637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732638,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196367,"text":"70196367 - 2018 - Relating river discharge and water temperature to the recruitment of age‐0 White Sturgeon (Acipenser transmontanus Richardson, 1836) in the Columbia River using over‐dispersed catch data","interactions":[],"lastModifiedDate":"2018-04-04T11:04:31","indexId":"70196367","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Relating river discharge and water temperature to the recruitment of age‐0 White Sturgeon (<i>Acipenser transmontanus</i> Richardson, 1836) in the Columbia River using over‐dispersed catch data","title":"Relating river discharge and water temperature to the recruitment of age‐0 White Sturgeon (Acipenser transmontanus Richardson, 1836) in the Columbia River using over‐dispersed catch data","docAbstract":"<p><span>The goals were to (i) determine if river discharge and water temperature during various early life history stages were predictors of age‐0 White Sturgeon,&nbsp;</span><i>Acipenser transmontanus</i><span>, recruitment, and (ii) provide an example of how over‐dispersed catch data, including data with many zero observations, can be used to better understand the effects of regulated rivers on the productivity of depressed sturgeon populations. An information theoretic approach was used to develop and select negative binomial and zero‐inflated negative binomial models that model the relation of age‐0 White Sturgeon survey data from three contiguous Columbia River reservoirs to river discharge and water temperature during spawning, egg incubation, larval, and post‐larval phases. Age‐0 White Sturgeon were collected with small mesh gill nets in The Dalles and John Day reservoirs from 1997 to 2014 and a bottom trawl in Bonneville Reservoir from 1989 to 2006. Results suggest that seasonal river discharge was positively correlated with age‐0 recruitment; notably that discharge, 16 June–31 July was positively correlated to age‐0 recruitment in all three reservoirs. The best approximating models for two of the three reservoirs also suggest that seasonal water temperature may be a determinant of age‐0 recruitment. Our research demonstrates how over‐dispersed catch data can be used to better understand the effects of environmental conditions on sturgeon populations caused by the construction and operation of dams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.13570","usgsCitation":"Counihan, T.D., and Chapman, C.G., 2018, Relating river discharge and water temperature to the recruitment of age‐0 White Sturgeon (Acipenser transmontanus Richardson, 1836) in the Columbia River using over‐dispersed catch data: Journal of Applied Ichthyology, v. 34, no. 2, p. 279-289, https://doi.org/10.1111/jai.13570.","productDescription":"11 p.","startPage":"279","endPage":"289","ipdsId":"IP-074421","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":460965,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13570","text":"Publisher Index Page"},{"id":353138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.12353515624999,\n              45.213003555993964\n            ],\n            [\n              -117.12524414062501,\n              45.213003555993964\n            ],\n            [\n              -117.12524414062501,\n              46.800059446787316\n            ],\n            [\n              -124.12353515624999,\n              46.800059446787316\n            ],\n            [\n              -124.12353515624999,\n              45.213003555993964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-23","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf33","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Colin G.","contributorId":197963,"corporation":false,"usgs":false,"family":"Chapman","given":"Colin","email":"","middleInitial":"G.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":732627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196365,"text":"70196365 - 2018 - Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient","interactions":[],"lastModifiedDate":"2018-04-04T11:12:57","indexId":"70196365","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient","docAbstract":"<p><span>Plant stoichiometry, the relative concentration of elements, is a key regulator of ecosystem functioning and is also being altered by human activities. In this paper we sought to understand the global drivers of plant stoichiometry and compare the relative contribution of climatic vs. anthropogenic effects. We addressed this goal by measuring plant elemental (C, N, P and K) responses to eutrophication and vertebrate herbivore exclusion at eighteen sites on six continents. Across sites, climate and atmospheric N deposition emerged as strong predictors of plot‐level tissue nutrients, mediated by biomass and plant chemistry. Within sites, fertilization increased total plant nutrient pools, but results were contingent on soil fertility and the proportion of grass biomass relative to other functional types. Total plant nutrient pools diverged strongly in response to herbivore exclusion when fertilized; responses were largest in ungrazed plots at low rainfall, whereas herbivore grazing dampened the plant community nutrient responses to fertilization. Our study highlights (1) the importance of climate in determining plant nutrient concentrations mediated through effects on plant biomass, (2) that eutrophication affects grassland nutrient pools via both soil and atmospheric pathways and (3) that interactions among soils, herbivores and eutrophication drive plant nutrient responses at small scales, especially at water‐limited sites.</span></p>","language":"English","publisher":"Ecology Society of America","doi":"10.1002/ecy.2175","usgsCitation":"Anderson, T.M., Griffith, D.M., Grace, J.B., Lind, E., Adler, P.B., Biederman, L.A., Blumenthal, D.M., Daleo, P., Firn, J., Hagenah, N., Harpole, W.S., MacDougall, A.S., McCulley, R.L., Prober, S.M., Risch, A.C., Sankaran, M., Schutz, M., Seabloom, E.W., Stevens, C.J., Sullivan, L., Wragg, P., and Borer, E.T., 2018, Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient: Ecology, v. 99, no. 4, p. 822-831, https://doi.org/10.1002/ecy.2175.","productDescription":"10 p.","startPage":"822","endPage":"831","ipdsId":"IP-084236","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468853,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecy.2175","text":"External Repository"},{"id":353140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-31","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf35","contributors":{"authors":[{"text":"Anderson, T. Michael","contributorId":203893,"corporation":false,"usgs":false,"family":"Anderson","given":"T.","email":"","middleInitial":"Michael","affiliations":[{"id":36744,"text":"Wake Forest University","active":true,"usgs":false}],"preferred":false,"id":732600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Daniel M.","contributorId":203894,"corporation":false,"usgs":false,"family":"Griffith","given":"Daniel","email":"","middleInitial":"M.","affiliations":[{"id":36744,"text":"Wake Forest University","active":true,"usgs":false}],"preferred":false,"id":732601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lind, Eric M.","contributorId":44828,"corporation":false,"usgs":false,"family":"Lind","given":"Eric M.","affiliations":[],"preferred":false,"id":732602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":732603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biederman, Lori A.","contributorId":203895,"corporation":false,"usgs":false,"family":"Biederman","given":"Lori","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":732604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blumenthal, Dana M.","contributorId":203896,"corporation":false,"usgs":false,"family":"Blumenthal","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":36745,"text":"USDA-ARS Rangeland Resources Research Unit","active":true,"usgs":false}],"preferred":false,"id":732605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Daleo, Pedro","contributorId":203897,"corporation":false,"usgs":false,"family":"Daleo","given":"Pedro","email":"","affiliations":[{"id":36746,"text":"Universidad Nacional de Mar del Plata","active":true,"usgs":false}],"preferred":false,"id":732607,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Firn, Jennifer","contributorId":66405,"corporation":false,"usgs":false,"family":"Firn","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":732608,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hagenah, Nicole","contributorId":203898,"corporation":false,"usgs":false,"family":"Hagenah","given":"Nicole","email":"","affiliations":[{"id":28213,"text":"University of KwaZulu-Natal","active":true,"usgs":false}],"preferred":false,"id":732609,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harpole, W. 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,{"id":70195823,"text":"fs20183012 - 2018 - Biological and ecological science for Michigan—The Great Lakes State","interactions":[],"lastModifiedDate":"2018-04-05T11:03:43","indexId":"fs20183012","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","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":"2018-3012","title":"Biological and ecological science for Michigan—The Great Lakes State","docAbstract":"<p>Michigan is rich in lakes, rivers, dune and rocky shorelines, forests, fish and wildlife, and has the longest freshwater coastline in the United States, 3,224 miles. Many enterprises critical to Michigan’s economy and cultural heritage are based on natural resources including commercial and sport fishing, hunting, and other outdoor recreation. Overall, outdoor recreation is enjoyed by more than 63 percent of Michigan residents, and has been estimated to generate <span>$18.7</span> billion in consumer spending, create 194,000 jobs, and raise $1.4 billion in State and local tax revenue annually.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183012","usgsCitation":"U.S. Geological Survey, 2018, Biological and ecological science for Michigan—The Great Lakes State: U.S. Geological Survey Fact Sheet 2018-3012, 2 p., https://doi.org/10.3133/fs20183012.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-091846","costCenters":[{"id":506,"text":"Office of the AD 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 \"}}]}","contact":"<p><a href=\"https://www.usgs.gov/science/mission-areas/ecosystems\" target=\"blank\" data-mce-href=\"https://www.usgs.gov/science/mission-areas/ecosystems\">Ecosystems Mission Area</a><br> <a href=\"https://www.usgs.gov/ask/\" data-mce-href=\"https://www.usgs.gov/ask/\">https://www.usgs.gov/ask/</a><br> 1-800-ASK-USGS (1-800-275-8747)</p>","tableOfContents":"<ul><li>The USGS Ecosystems The USGS Ecosystems Mission Area<br></li><li>Sustaining the Michigan Great Lakes Fishery<br></li><li>Fighting a Damaging Invader<br></li><li>Bringing Back Lake Sturgeon<br></li><li>Restoration Science for Urban Revitalization<br></li><li>Sharing Information about Wildlife Diseases<br></li><li>Surveillance and Control Techniques for Unwelcome Invaders<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-04-04","noUsgsAuthors":false,"publicationDate":"2018-04-04","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf37","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":730174,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196313,"text":"ofr20171157 - 2018 - Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy","interactions":[],"lastModifiedDate":"2025-05-13T16:22:30.827212","indexId":"ofr20171157","displayToPublicDate":"2018-04-03T10:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1157","title":"Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy","docAbstract":"<h1>Introduction</h1><p>The Nation’s eastern coast is fringed by beaches, dunes, barrier islands, wetlands, and bluffs. These natural coastal barriers provide critical benefits and services, and can mitigate the impact of storms, erosion, and sea-level rise on our coastal communities. Waves and storm surge resulting from Hurricane Sandy, which made landfall along the New Jersey coast on October 29, 2012, impacted the U.S. coastline from North Carolina to Massachusetts, including Assateague Island, Maryland and Virginia, and the Delmarva coastal system. The storm impacts included changes in topography, coastal morphology, geology, hydrology, environmental quality, and ecosystems.</p><p>In the immediate aftermath of the storm, light detection and ranging (lidar) surveys from North Carolina to New York documented storm impacts to coastal barriers, providing a baseline to assess vulnerability of the reconfigured coast. The focus of much of the existing coastal change assessment is along the ocean-facing coastline; however, much of the coastline affected by Hurricane Sandy includes the estuarine-facing coastlines of barrier-island systems. Specifically, the wetland and back-barrier shorelines experienced substantial change as a result of wave action and storm surge that occurred during Hurricane Sandy (see also USGS photograph, <a href=\"http://coastal.er.usgs.gov/hurricanes/sandy/photo-comparisons/virginia.php\" data-mce-href=\"http://coastal.er.usgs.gov/hurricanes/sandy/photo-comparisons/virginia.php\">http://coastal.er.usgs.gov/hurricanes/sandy/photo-comparisons/virginia.php</a>). Assessing physical shoreline and wetland change (land loss as well as land gains) can help to determine the resiliency of wetland systems that protect adjacent habitat, shorelines, and communities.</p><p>To address storm impacts to wetlands, a vulnerability assessment should describe both long-term (for example, several decades) and short-term (for example, Sandy’s landfall) extent and character of the interior wetlands and the back-barrier-shoreline changes. The objective of this report is to describe several new wetland vulnerability assessments based on the detailed physical changes estimated from observations. The scope includes understanding changes caused by both short- and long-term processes using both remotely sensed and in situ observations to characterize changes to the wetland in terms of accretion/expansion and erosion/contraction. Accretion may be due to net vertical and (or) horizontal deposition, including estuarine-shoreline change due to overwash. Wetland erosion may be due to elevated waves and water levels in the estuary itself. We included additional information based on wave runup and storm-surge elevations based on models and elevation data. We then developed a predictive assessment for wetland vulnerability that describes the likelihood of changes of the estuarine shoreline and the landward extent of sand overwash driven by processes occurring on the ocean-facing shoreline. This assessment is intended to be linked to the beach and dune vulnerability assessments that have been developed previously.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171157","usgsCitation":"Plant, N.G., Smith, K.E.L., Passeri, D.L., Smith, C.G., and Bernier, J.C., 2018, Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy: U.S. Geological Survey Open-File Report 2017–1157, 36 p.,  https://doi.org/10.3133/ofr20171157.","productDescription":"viii, 36 p.","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073468","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":353051,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1157/coverthb.jpg"},{"id":353052,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1157/ofr20171157.pdf","text":"Report","size":"7.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1157"}],"contact":"<p>Director, <a href=\"https://coastal.er.usgs.gov\" data-mce-href=\"https://coastal.er.usgs.gov\">St. Petersburg Coastal and Marine Science </a>Center<br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Introduction</li><li>Methods</li><li>Results&nbsp;</li><li>Discussion</li><li>Conclusions&nbsp;</li><li>References Cited</li><li>Appendix 1. BN Models</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-04-03","noUsgsAuthors":false,"publicationDate":"2018-04-03","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf39","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":732281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":732282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":732283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":732285,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196228,"text":"ofr20181050 - 2018 - Passage survival of juvenile steelhead, coho salmon, and Chinook salmon in Lake Scanewa and at Cowlitz Falls Dam, Cowlitz River, Washington, 2010–16","interactions":[],"lastModifiedDate":"2018-04-04T10:20:34","indexId":"ofr20181050","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1050","title":"Passage survival of juvenile steelhead, coho salmon, and Chinook salmon in Lake Scanewa and at Cowlitz Falls Dam, Cowlitz River, Washington, 2010–16","docAbstract":"<p class=\"p1\">A multi-year evaluation was conducted during 2010–16 to evaluate passage survival of juvenile steelhead (<i>Oncorhynchus mykiss</i>), Chinook salmon (<i>O. tshawytscha</i>), and coho salmon (<i>O. kisutch</i>) in Lake Scanewa, and at Cowlitz Falls Dam in the upper Cowlitz River Basin, Washington. Reservoir passage survival was evaluated in 2010, 2011, and 2016, and included the tagging and release of 1,127 juvenile salmonids. Tagged fish were released directly into the Cowlitz and Cispus Rivers, 22.3 and 8.9 km, respectively, upstream of the reservoir, and were monitored as they moved downstream into, and through the reservoir. A single release-recapture survival model was used to analyze detection records and estimate reservoir passage survival, which was defined as successful passage from reservoir entry to arrival at Cowlitz Falls Dam. Tagged fish generally moved quickly downstream of the release sites and, on average, arrived in the dam forebay within 2 d of release. Median travel time from release to first detection at the dam ranged from 0.23 to 0.96 d for juvenile steelhead, from 0.15 to 1.11 d for juvenile coho salmon, and from 0.18 to 1.89 d for juvenile Chinook salmon. Minimum reservoir passage survival probabilities were 0.960 for steelhead, 0.855 for coho salmon and 0.900 for Chinook salmon.</p><p class=\"p1\">Dam passage survival was evaluated at the pilot-study level during 2013–16 and included the tagging and release of 2,512 juvenile salmonids. Juvenile Chinook salmon were evaluated during 2013–14, and juvenile steelhead and coho salmon were evaluated during 2015–16. A paired-release study design was used that included release sites located upstream and downstream of Cowlitz Falls Dam. The downstream release site was positioned at the downstream margin of the dam’s tailrace, which allowed dam passage survival to be measured in a manner that included mortality that occurred in the passage route and in the dam tailrace. More than one-half of the tagged Chinook salmon (52 percent) released upstream of Cowlitz Falls Dam moved downstream and passed the project; the remaining fish either remained upstream of the dam (37 percent) or were collected (11 percent). In 2015 and 2016, collection efficiencies at Cowlitz Falls Dam were abnormally high for juvenile steelhead and coho salmon, which resulted in few fish passing the dam. Seven percent of the tagged steelhead (40 fish) and 4 percent of the tagged coho salmon (18 fish) released upstream of the dam eventually passed the project, but these low numbers of fish precluded the estimation of meaningful survival estimates. Dam passage survival probability estimates for juvenile Chinook salmon were 0.828 in 2013 and 0.861 in 2014, lower than previously reported for turbine-specific passage Cowlitz Falls Dam.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181050","collaboration":"Prepared in cooperation with the Lewis County Public Utility District, Washington","usgsCitation":"Liedtke, T.L., Kock, T.J., and Hurst, W., 2018, Passage survival of juvenile steelhead, coho salmon, and Chinook salmon in Lake Scanewa and at Cowlitz Falls Dam, Cowlitz River, Washington, 2010–16: U.S. Geological Survey Open-File Report 2018-1050, 44 p., https://doi.org/10.3133/ofr20181050.","productDescription":"viii, 44 p.","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-094272","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":353112,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1050/ofr20181050.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1050"},{"id":353111,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1050/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cowlitz Falls Dam, Cowlitz River, Lake Scanewa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.1844482421875,\n              46.42129253514276\n            ],\n            [\n              -121.94549560546875,\n              46.42129253514276\n            ],\n            [\n              -121.94549560546875,\n              46.53477563383562\n            ],\n            [\n              -122.1844482421875,\n              46.53477563383562\n            ],\n            [\n              -122.1844482421875,\n              46.42129253514276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Chapter A. Reservoir Passage Survival of Juvenile Steelhead, Coho Salmon, and Chinook Salmon in Lake Scanewa, Upper Cowlitz River, Washington, 2010, 2011, and 2016&nbsp;<br></li><li>Chapter B. Dam Passage Survival of Juvenile Steelhead, Coho Salmon, and Chinook Salmon at Cowlitz Falls Dam, Cowlitz River, Washington, 2013-16<br></li><li>Appendix 1. Summary of Radio Transmitter Failures Associated with the 2016 Cowlitz River Evaluations<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-04-03","noUsgsAuthors":false,"publicationDate":"2018-04-03","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf53","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":731754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":731755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurst, William 0000-0001-5758-8210 whurst@usgs.gov","orcid":"https://orcid.org/0000-0001-5758-8210","contributorId":139838,"corporation":false,"usgs":true,"family":"Hurst","given":"William","email":"whurst@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":731756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196349,"text":"70196349 - 2018 - Linking animals aloft with the terrestrial landscape","interactions":[],"lastModifiedDate":"2018-04-03T12:01:24","indexId":"70196349","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Linking animals aloft with the terrestrial landscape","docAbstract":"<p><span>Despite using the aerosphere for many facets of their life, most flying animals (i.e., birds, bats, some insects) are still bound to terrestrial habitats for resting, feeding, and reproduction. Comprehensive broad-scale observations by weather surveillance radars of animals as they leave terrestrial habitats for migration or feeding flights can be used to map their terrestrial distributions either as point locations (e.g., communal roosts) or as continuous surface layers (e.g., animal densities in habitats across a landscape). We discuss some of the technical challenges to reducing measurement biases related to how radars sample the aerosphere and the flight behavior of animals. We highlight a recently developed methodological approach that precisely and quantitatively links the horizontal spatial structure of birds aloft to their terrestrial distributions and provides novel insights into avian ecology and conservation across broad landscapes. Specifically, we present case studies that (1) elucidate how migrating birds contend with crossing ecological barriers and extreme weather events, (2) identify important stopover areas and habitat use patterns of birds along their migration routes, and (3) assess waterfowl response to wetland habitat management and restoration. These studies aid our understanding of how anthropogenic modification of the terrestrial landscape (e.g., urbanization, habitat management), natural geographic features, and weather (e.g., hurricanes) can affect the terrestrial distributions of flying animals.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aeroecology","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-68576-2_14","usgsCitation":"Buler, J.J., Barrow, W., Boone, M., Dawson, D.K., Diehl, R.H., Moore, F.R., Randall, L.A., Schreckengost, T., and Smolinsky, J.A., 2018, Linking animals aloft with the terrestrial landscape, chap. <i>of</i> Aeroecology, p. 347-378, https://doi.org/10.1007/978-3-319-68576-2_14.","productDescription":"32 p.","startPage":"347","endPage":"378","ipdsId":"IP-072437","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-24","publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf43","contributors":{"authors":[{"text":"Buler, Jeffrey J.","contributorId":194648,"corporation":false,"usgs":false,"family":"Buler","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":732526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrow, Wylie C. Jr. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":168953,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","suffix":"Jr.","email":"barroww@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":732528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boone, Matthew","contributorId":202724,"corporation":false,"usgs":false,"family":"Boone","given":"Matthew","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":732527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Deanna K. 0000-0001-7531-212X ddawson@usgs.gov","orcid":"https://orcid.org/0000-0001-7531-212X","contributorId":202720,"corporation":false,"usgs":true,"family":"Dawson","given":"Deanna","email":"ddawson@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":732529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":732530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Randall, Lori A. 0000-0003-0100-994X randalll@usgs.gov","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":2678,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","email":"randalll@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":732531,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schreckengost, Timothy","contributorId":203867,"corporation":false,"usgs":false,"family":"Schreckengost","given":"Timothy","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":732532,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smolinsky, Jaclyn A.","contributorId":202723,"corporation":false,"usgs":false,"family":"Smolinsky","given":"Jaclyn","email":"","middleInitial":"A.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":732533,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70196352,"text":"70196352 - 2018 - Occupancy in community-level studies","interactions":[],"lastModifiedDate":"2018-04-03T15:24:32","indexId":"70196352","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Occupancy in community-level studies","docAbstract":"Another type of multi-species studies, are those focused on community-level metrics such as species richness. In this chapter we detail how some of the single-species occupancy models described in earlier chapters have been applied, or extended, for use in such studies, while accounting for imperfect detection. We highlight how Bayesian methods using MCMC are particularly useful in such settings to easily calculate relevant community-level summaries based on presence/absence data. These modeling approaches can be used to assess richness at a single point in time, or to investigate changes in the species pool over time.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Occupancy estimation and modeling (Second edition)","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-407197-1.00020-X","usgsCitation":"MacKenzie, D.I., Nichols, J.D., Royle, A., Pollock, K.H., Bailey, L.L., and Hines, J.E., 2018, Occupancy in community-level studies, chap. <i>of</i> Occupancy estimation and modeling (Second edition), p. 557-583, https://doi.org/10.1016/B978-0-12-407197-1.00020-X.","productDescription":"27 p.","startPage":"557","endPage":"583","ipdsId":"IP-088075","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf41","contributors":{"authors":[{"text":"MacKenzie, Darryl I.","contributorId":194669,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Darryl","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":732545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":732547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":189578,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":732548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732549,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194741,"text":"sir20175155 - 2018 - Hydrologic assessment and numerical simulation of groundwater flow, San Juan Mine, San Juan County, New Mexico, 2010–13","interactions":[],"lastModifiedDate":"2018-04-09T15:08:19","indexId":"sir20175155","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5155","title":"Hydrologic assessment and numerical simulation of groundwater flow, San Juan Mine, San Juan County, New Mexico, 2010–13","docAbstract":"<p>Coal combustion byproducts (CCBs), which are composed of fly ash, bottom ash, and flue gas desulfurization material, produced at the coal-fired San Juan Generating Station (SJGS), located in San Juan County, New Mexico, have been buried in former surface-mine pits at the San Juan Mine, also referred to as the San Juan Coal Mine, since operations began in the early 1970s. This report, prepared by the U.S. Geological Survey in cooperation with the Mining and Minerals Division of the New Mexico Energy, Minerals and Natural Resources Department, describes results of a hydrogeologic assessment, including numerical groundwater modeling, to identify the timing of groundwater recovery and potential pathways for groundwater transport of metals that may be leached from stored CCBs and reach hydrologic receptors after operations cease. Data collected for the hydrologic assessment indicate that groundwater in at least one centrally located reclaimed surface-mining pit has already begun to recover.</p><p>The U.S. Geological Survey numerical modeling package&nbsp;MODFLOW–NWT was used with MODPATH particle-tracking software to identify advective flow paths from CCB storage areas toward potential hydrologic receptors.&nbsp;Results indicate that groundwater at CCB storage areas will recover to the former steady state, or in some locations, groundwater may recover to a new steady state in 6,600 to 10,600 years at variable rates depending on the proximity to a residual cone-of-groundwater depression caused by mine dewatering and regional oil and gas pumping as well as on actual, rather than estimated, groundwater recharge and evapotranspirational losses. Advective particle-track modeling indicates that the number of particles and rates of advective transport will vary depending on hydraulic properties of the mine spoil, particularly hydraulic conductivity and porosity. Modeling results from the most conservative scenario indicate that particles can migrate from CCB repositories to either the Shumway Arroyo alluvium after 1,320 years and from there to the San Juan River alluvium after 1,520 years or from southernmost CCB repositories directly to the San Juan River alluvium after 2,400 years after the cessation of mining.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175155","collaboration":"Prepared in cooperation with the Mining and Minerals Division of the State of New Mexico Energy, Minerals and Natural Resources Department","usgsCitation":"Stewart, A.M., 2018, Hydrologic assessment and numerical simulation of groundwater flow, San Juan Mine, San Juan County, New Mexico, 2010–13: U.S. Geological Survey Scientific Investigations Report 2017–5155, 94 p., https://doi.org/10.3133/sir20175155.","productDescription":"Report: xi, 94 p.; Data Releases","numberOfPages":"110","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-080017","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":352877,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q81BJK","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Chemical analyses for arsenic, calcium, chloride, sodium, sulfate, sulfide and dissolved solids, August 2011 through December 2013, from groundwater sampled at or in the vicinity of the San Juan Coal Mine, New Mexico"},{"id":353249,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75719JV","text":"USGS data release","description":"USGS Data Release","linkHelpText":"MODFLOW–NWT and MODPATH5 models used to identify potential flow paths from San Juan Mine to hydrologic receptors, San Juan County, New Mexico"},{"id":352876,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5155/sir20175155.pdf","text":"Report","size":"6.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5155"},{"id":352875,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5155/coverthb.jpg"}],"country":"United States","state":"New Mexico","county":"San Juan County","otherGeospatial":"San Juan Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.5,\n              36.7167\n            ],\n            [\n              -108.1,\n              36.72099868793134\n            ],\n            [\n              -108.1,\n              37\n            ],\n            [\n              -108.5,\n              37\n            ],\n            [\n              -108.5,\n              36.7167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_nm@usgs.gov\" data-mce-href=\"mailto: dc_nm@usgs.gov\">Director</a>, <a href=\"https://nm.water.usgs.gov/\" data-mce-href=\"https://nm.water.usgs.gov/\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith Blvd NE<br>Albuquerque, NM 87113<br></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Description of Study Area<br></li><li>Hydrologic Assessment of the San Juan Mine Study Area<br></li><li>Numerical Simulation of Groundwater Flow<br></li><li>Suggestions for Further Data Collection<br></li><li>Summary<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2018-04-03","noUsgsAuthors":false,"publicationDate":"2018-04-03","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf55","contributors":{"authors":[{"text":"Stewart, Anne M. astewart@usgs.gov","contributorId":3938,"corporation":false,"usgs":true,"family":"Stewart","given":"Anne","email":"astewart@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725092,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196356,"text":"70196356 - 2018 - Quantifying differences in responses of aquatic insects to trace metal exposure in field studies and short-term stream mesocosm experiments","interactions":[],"lastModifiedDate":"2018-04-03T14:14:36","indexId":"70196356","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","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":"Quantifying differences in responses of aquatic insects to trace metal exposure in field studies and short-term stream mesocosm experiments","docAbstract":"<p><span>Characterizing macroinvertebrate taxa as either sensitive or tolerant is of critical importance for investigating impacts of anthropogenic stressors in aquatic ecosystems and for inferring causality. However, our understanding of relative sensitivity of aquatic insects to metals in the field and under controlled conditions in the laboratory or mesocosm experiments is limited. In this study, we compared the response of 16 lotic macroinvertebrate families to metals in short-term (10-day) stream mesocosm experiments and in a spatially extensive field study of 154 Colorado streams. Comparisons of field and mesocosm-derived EC</span><sub>20</sub><span><span>&nbsp;</span>(effect concentration of 20%) values showed that aquatic insects were generally more sensitive to metals in the field. Although the ranked sensitivity to metals was similar for many families, we observed large differences between field and mesocosm responses for some groups (e.g., Baetidae and Heptageniidae). These differences most likely resulted from the inability of short-term experiments to account for factors such as dietary exposure to metals, rapid recolonization in the field, and effects of metals on sensitive life stages. Understanding mechanisms responsible for differences among field, mesocosm, and laboratory approaches would improve our ability to predict contaminant effects and establish ecologically meaningful water-quality criteria.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b06628","usgsCitation":"Iwasaki, Y., Schmidt, T., and Clements, W.H., 2018, Quantifying differences in responses of aquatic insects to trace metal exposure in field studies and short-term stream mesocosm experiments: Environmental Science & Technology, v. 52, no. 7, p. 4378-4384, https://doi.org/10.1021/acs.est.7b06628.","productDescription":"7 p.","startPage":"4378","endPage":"4384","ipdsId":"IP-083029","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":353116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-22","publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf3f","contributors":{"authors":[{"text":"Iwasaki, Yuichi","contributorId":175410,"corporation":false,"usgs":false,"family":"Iwasaki","given":"Yuichi","email":"","affiliations":[{"id":27568,"text":"Tokyo Institute of Tecnology","active":true,"usgs":false}],"preferred":false,"id":732558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":732557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, William H.","contributorId":178714,"corporation":false,"usgs":false,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":732559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196360,"text":"70196360 - 2018 - Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity","interactions":[],"lastModifiedDate":"2018-04-03T14:09:14","indexId":"70196360","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity","docAbstract":"<p><span>One of the primary goals of biological assessment of streams is to identify which of a suite of chemical stressors is limiting their ecological potential. Elevated metal concentrations in streams are often associated with low pH, yet the effects of these two potentially limiting factors of freshwater biodiversity are rarely considered to interact beyond the effects of pH on metal speciation. Using a dataset from two continents, a biogeochemical model of the toxicity of metal mixtures (Al, Cd, Cu, Pb, Zn) and quantile regression, we addressed the relative importance of both pH and metals as limiting factors for macroinvertebrate communities. Current environmental quality standards for metals proved to be protective of stream macroinvertebrate communities and were used as a starting point to assess metal mixture toxicity. A model of metal mixture toxicity accounting for metal interactions was a better predictor of macroinvertebrate responses than a model considering individual metal toxicity. We showed that the direct limiting effect of pH on richness was of the same magnitude as that of chronic metal toxicity, independent of its influence on the availability and toxicity of metals. By accounting for the direct effect of pH on macroinvertebrate communities, we were able to determine that acidic streams supported less diverse communities than neutral streams even when metals were below no-effect thresholds. Through a multivariate quantile model, we untangled the limiting effect of both pH and metals and predicted the maximum diversity that could be expected at other sites as a function of these variables. This model can be used to identify which of the two stressors is more limiting to the ecological potential of running waters.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2017.12.097","usgsCitation":"Fornaroli, R., Ippolito, A., Tolkkinen, M.J., Mykra, H., Muotka, T., Balistrieri, L.S., and Schmidt, T., 2018, Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity: Environmental Pollution, v. 235, p. 889-898, https://doi.org/10.1016/j.envpol.2017.12.097.","productDescription":"10 p.","startPage":"889","endPage":"898","ipdsId":"IP-079637","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":437964,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7R20ZJW","text":"USGS data release","linkHelpText":"Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity: datasets"},{"id":353113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"235","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf3d","contributors":{"authors":[{"text":"Fornaroli, Riccardo","contributorId":201354,"corporation":false,"usgs":false,"family":"Fornaroli","given":"Riccardo","email":"","affiliations":[],"preferred":false,"id":732575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ippolito, Alessio","contributorId":201355,"corporation":false,"usgs":false,"family":"Ippolito","given":"Alessio","email":"","affiliations":[],"preferred":false,"id":732576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tolkkinen, Mari J.","contributorId":201357,"corporation":false,"usgs":false,"family":"Tolkkinen","given":"Mari","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":732578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mykra, Heikki","contributorId":201358,"corporation":false,"usgs":false,"family":"Mykra","given":"Heikki","email":"","affiliations":[],"preferred":false,"id":732579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muotka, Timo","contributorId":201359,"corporation":false,"usgs":false,"family":"Muotka","given":"Timo","email":"","affiliations":[],"preferred":false,"id":732580,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":732577,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196348,"text":"70196348 - 2018 - On the sensitivity of annual streamflow to air temperature","interactions":[],"lastModifiedDate":"2018-05-29T13:33:20","indexId":"70196348","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"On the sensitivity of annual streamflow to air temperature","docAbstract":"<p><span>Although interannual streamflow variability is primarily a result of precipitation variability, temperature also plays a role. The relative weakness of the temperature effect at the annual time scale hinders understanding, but may belie substantial importance on climatic time scales. Here we develop and evaluate a simple theory relating variations of streamflow and evapotranspiration (</span><i>E</i><span>) to those of precipitation (</span><i>P</i><span>) and temperature. The theory is based on extensions of the Budyko water‐balance hypothesis, the Priestley‐Taylor theory for potential evapotranspiration (<span>&nbsp;</span></span><img class=\"section_image\" src=\"https://wol-prod-cdn.literatumonline.com/cms/attachment/7d1c7e98-ad4b-4606-94ff-30efa78ad609/wrcr23194-math-0001.png\" alt=\"urn:x-wiley:00431397:media:wrcr23194:wrcr23194-math-0001\" data-mce-src=\"https://wol-prod-cdn.literatumonline.com/cms/attachment/7d1c7e98-ad4b-4606-94ff-30efa78ad609/wrcr23194-math-0001.png\"><span>), and a linear model of interannual basin storage. The theory implies that the temperature affects streamflow by modifying evapotranspiration through a Clausius‐Clapeyron‐like relation and through the sensitivity of net radiation to temperature. We apply and test (1) a previously introduced “strong” extension of the Budyko hypothesis, which requires that the function linking temporal variations of the evapotranspiration ratio (</span><i>E</i><span>/</span><i>P</i><span>) and the index of dryness (<span>&nbsp;</span></span><img class=\"section_image\" src=\"https://wol-prod-cdn.literatumonline.com/cms/attachment/b37d04ed-1f7f-4f14-86d6-d356a5da08b9/wrcr23194-math-0002.png\" alt=\"urn:x-wiley:00431397:media:wrcr23194:wrcr23194-math-0002\" data-mce-src=\"https://wol-prod-cdn.literatumonline.com/cms/attachment/b37d04ed-1f7f-4f14-86d6-d356a5da08b9/wrcr23194-math-0002.png\"><span>/</span><i>P</i><span>) at an annual time scale is identical to that linking interbasin variations of the corresponding long‐term means, and (2) a “weak” extension, which requires only that the annual evapotranspiration ratio depends uniquely on the annual index of dryness, and that the form of that dependence need not be known a priori nor be identical across basins. In application of the weak extension, the readily observed sensitivity of streamflow to precipitation contains crucial information about the sensitivity to potential evapotranspiration and, thence, to temperature. Implementation of the strong extension is problematic, whereas the weak extension appears to capture essential controls of the temperature effect efficiently.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR021970","usgsCitation":"Milly, P., Kam, J., and Dunne, K.A., 2018, On the sensitivity of annual streamflow to air temperature: Water Resources Research, v. 54, no. 4, p. 2624-2641, https://doi.org/10.1002/2017WR021970.","productDescription":"18 p.","startPage":"2624","endPage":"2641","ipdsId":"IP-091187","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":437966,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SJ1JVG","text":"USGS data release","linkHelpText":"Monthly Time Series of Streamflow, Precipitation, Air Temperature, and Net Radiation for 2,673 River Basins Worldwide, 1901-2013"},{"id":437965,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SN085V","text":"USGS data release","linkHelpText":"Annual Streamflow Sensitivity to Air Temperature Worldwide, 1901-2013"},{"id":353101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf45","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":732522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kam, Jonghun 0000-0002-7967-7705","orcid":"https://orcid.org/0000-0002-7967-7705","contributorId":203859,"corporation":false,"usgs":false,"family":"Kam","given":"Jonghun","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":732523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunne, Krista A. 0000-0002-1220-6140 kadunne@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-6140","contributorId":203816,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":732524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}