{"pageNumber":"1249","pageRowStart":"31200","pageSize":"25","recordCount":185099,"records":[{"id":70155517,"text":"70155517 - 2015 - Integrating multiple distribution models to guide conservation efforts of an endangered toad","interactions":[],"lastModifiedDate":"2015-08-10T11:35:56","indexId":"70155517","displayToPublicDate":"2015-06-30T12:30:00","publicationYear":"2015","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":"Integrating multiple distribution models to guide conservation efforts of an endangered toad","docAbstract":"<p><span>Species distribution models are used for numerous purposes such as predicting changes in species&rsquo; ranges and identifying biodiversity hotspots. Although implications of distribution models for conservation are often implicit, few studies use these tools explicitly to inform conservation efforts. Herein, we illustrate how multiple distribution models developed using distinct sets of environmental variables can be integrated to aid in identification sites for use in conservation. We focus on the endangered arroyo toad (</span><i>Anaxyrus californicus</i><span>), which relies on open, sandy streams and surrounding floodplains in southern California, USA, and northern Baja California, Mexico. Declines of the species are largely attributed to habitat degradation associated with vegetation encroachment, invasive predators, and altered hydrologic regimes. We had three main goals: 1) develop a model of potential habitat for arroyo toads, based on long-term environmental variables and all available locality data; 2) develop a model of the species&rsquo; current habitat by incorporating recent remotely-sensed variables and only using recent locality data; and 3) integrate results of both models to identify sites that may be employed in conservation efforts. We used a machine learning technique, Random Forests, to develop the models, focused on riparian zones in southern California. We identified 14.37% and 10.50% of our study area as potential and current habitat for the arroyo toad, respectively. Generally, inclusion of remotely-sensed variables reduced modeled suitability of sites, thus many areas modeled as potential habitat were not modeled as current habitat. We propose such sites could be made suitable for arroyo toads through active management, increasing current habitat by up to 67.02%. Our general approach can be employed to guide conservation efforts of virtually any species with sufficient data necessary to develop appropriate distribution models.</span></p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0131628","usgsCitation":"Treglia, M.L., Fisher, R.N., and Fitzgerald, L., 2015, Integrating multiple distribution models to guide conservation efforts of an endangered toad: PLoS ONE, v. 10, no. 6, p. 1-18, https://doi.org/10.1371/journal.pone.0131628.","productDescription":"18 p.","startPage":"1","endPage":"18","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064868","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0131628","text":"Publisher Index Page"},{"id":306534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.49304199218749,\n              33.99347299511967\n            ],\n            [\n              -118.01513671875,\n              34.50655662164561\n            ],\n            [\n              -116.98242187499999,\n              34.610605760914666\n            ],\n            [\n              -116.26831054687501,\n              34.49750272138159\n            ],\n            [\n              -115.94970703125,\n              34.20271636159618\n            ],\n            [\n              -115.9332275390625,\n              33.73804486328909\n            ],\n            [\n              -115.81787109375,\n              33.44060944370356\n            ],\n            [\n              -115.62561035156249,\n              33.30757713015298\n            ],\n            [\n              -115.51574707031249,\n              33.06852769197118\n            ],\n            [\n              -115.34545898437499,\n              32.68099643258195\n            ],\n            [\n              -117.15270996093749,\n              32.54681317351514\n            ],\n            [\n              -117.158203125,\n              32.62549671451373\n            ],\n            [\n              -117.29553222656249,\n              32.694865977875075\n            ],\n            [\n              -117.31201171875001,\n              32.838058359277056\n            ],\n            [\n              -117.31201171875001,\n              32.98102014898148\n            ],\n            [\n              -117.49877929687499,\n              33.27084277265288\n            ],\n            [\n              -117.7569580078125,\n              33.458942753687644\n            ],\n            [\n              -118.15246582031249,\n              33.706062655101206\n            ],\n            [\n              -118.333740234375,\n              33.67406853374198\n            ],\n            [\n              -118.48205566406251,\n              33.747180448149855\n            ],\n            [\n              -118.4600830078125,\n              33.8247936182649\n            ],\n            [\n              -118.49304199218749,\n              33.99347299511967\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-30","publicationStatus":"PW","scienceBaseUri":"55c9cb34e4b08400b1fdb713","contributors":{"authors":[{"text":"Treglia, Michael L.","contributorId":145921,"corporation":false,"usgs":false,"family":"Treglia","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":16299,"text":"Dep't Wildlife and Fisheries, Texas A&M U, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":565660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":565659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzgerald, Lee A.","contributorId":145922,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Lee A.","affiliations":[{"id":16300,"text":"Dep't of Wildlife and Fisheries, Texas A&M U, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":565661,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70146028,"text":"70146028 - 2015 - Radar and optical image fusion and mapping of land cover and wetland resources","interactions":[],"lastModifiedDate":"2015-07-14T11:51:24","indexId":"70146028","displayToPublicDate":"2015-06-30T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Radar and optical image fusion and mapping of land cover and wetland resources","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of wetlands: applications and advances","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton","doi":"10.1201/b18210-11","usgsCitation":"Ramsey, E.W., and Rangoonwala, A., 2015, Radar and optical image fusion and mapping of land cover and wetland resources, chap. <i>of</i> Remote sensing of wetlands: applications and advances, p. 155-174, https://doi.org/10.1201/b18210-11.","productDescription":"20 p.","startPage":"155","endPage":"174","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042986","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":305711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7eef3e4b0bc0bec09ee18","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","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":false,"id":544635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@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":544636,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70214971,"text":"70214971 - 2015 - Holocene diatom-derived climate history of Medicine Lake, northern California, USA","interactions":[],"lastModifiedDate":"2020-10-05T14:24:09.709844","indexId":"70214971","displayToPublicDate":"2015-06-30T09:17:12","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7133,"text":"CIRMOUNT Mountain Views","active":true,"publicationSubtype":{"id":10}},"title":"Holocene diatom-derived climate history of Medicine Lake, northern California, USA","docAbstract":"The Medicine Lake record is unusual because it responds not only to local and regional climate signals, but changes in conditions on Medicine Lake volcano during the Holocene. Ice retreated within the Medicine Lake volcano occurred around 11,400 years ago, followed by filling of two sub-basins. The absence of Cyclotella indicates that the early lake was probably less than 5 m deep. The low Abies/Artemisia ratio suggests that the climate was relatively dry. Over the next 4000 years, the level of the lake rose as relatively organic-rich fine-grained sediments filled the basin. The increase in abundance of Cyclotella also suggests that the lake gradually deepened. The abundance of Abies in the basin also increased, suggesting the presence of a deeper snowpack that existed into the late spring and summer. The increased snowpack was likely the primary water source that filled the lake during this period. About 5500 years ago, the lake flooded the shallow shelf area surrounding the two sub-basins. Variations in the abundance of Cyclotella and benthic taxa, dominated by Navicula, indicate that the area of the flooded shelf fluctuated during this interval. The abundance of Isoetes and Abies responded similarly to changes in the basin, both suggesting an increase in effective moisture. Their increase corresponds to an increase in Sequoia pollen observed at ODP Site 1019, which records the establishment of modern climatic conditions along the northern California coast (relatively warm wet winters and cool, foggy summers). A connection between coastal and inland 6 climates appears to have strengthened at about this time. These fluctuations are in part due to these changes in moisture availability, but may also be due to changes in the shape of the lake basin brought about by the movement of magma within the Medicine Lake volcano.","language":"English","publisher":"USDA","usgsCitation":"Starratt, S.W., 2015, Holocene diatom-derived climate history of Medicine Lake, northern California, USA: CIRMOUNT Mountain Views, v. 9, p. 12-20.","productDescription":"9 p.","startPage":"12","endPage":"20","ipdsId":"IP-066136","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":379038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379029,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/psw/cirmount/publications/pdf/Mtn_Views_june_15.pdf"}],"country":"United States","state":"California","county":"Siskiyou County","otherGeospatial":"Medicine 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,{"id":70148460,"text":"ofr20151114 - 2015 - California State Waters Map Series — Offshore of Point Reyes, California","interactions":[],"lastModifiedDate":"2022-04-18T20:56:05.493853","indexId":"ofr20151114","displayToPublicDate":"2015-06-30T01:15:00","publicationYear":"2015","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":"2015-1114","title":"California State Waters Map Series — Offshore of Point Reyes, California","docAbstract":"<p>This publication about the Offshore of Point Reyes map area includes ten map sheets that contain explanatory text, in addition to this descriptive pamphlet and a data catalog of geographic information system (GIS) files. Sheets 1, 2, and 3 combine data from four different sonar surveys to generate comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic features (highlighted in the perspective views on sheet 4) such as the flat, sediment-covered seafloor in Drakes Bay, as well as abundant &ldquo;scour depressions&rdquo; on the Bodega Head&ndash;Tomales Point shelf (see sheet 9) and local, tectonically controlled bedrock uplifts. To validate geological and biological interpretations of the sonar data shown in sheets 1, 2, and 3, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these &ldquo;ground-truth&rdquo; surveying data are summarized on sheet 6. Sheet 5 is a &ldquo;seafloor character&rdquo; map, which classifies the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. Sheet 7 is a map of &ldquo;potential habitats,&rdquo; which are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Sheet 8 compiles representative seismic-reflection profiles from the map area, providing information on the subsurface stratigraphy and structure of the map area. Sheet 9 shows the distribution and thickness of young sediment (deposited over the last about 21,000 years, during the most recent sea-level rise) in both the map area and the larger Salt Point to Drakes Bay region, interpreted on the basis of the seismic-reflection data, and it identifies the Offshore of Point Reyes map area as lying within the Bodega Head&ndash;Tomales Point shelf, Point Reyes bar, and Bolinas shelf domains. Sheet 10 is a geologic map that merges onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery (sheets 1, 2, 3), seafloor-sediment and rock samples (Reid and others, 2006), digital camera and video imagery (sheet 6), and high-resolution seismic-reflection profiles (sheet 8), as well as aerial-photographic interpretation of nearshore areas. The information provided by the map sheets, pamphlet, and data catalog have a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151114","usgsCitation":"Watt, J., Dartnell, P., Golden, N., Greene, H., Erdey, M.D., Cochrane, G.R., Johnson, S.Y., Hartwell, S., Kvitek, R.G., Manson, M., Endris, C.A., Dieter, B.E., Sliter, R.W., Krigsman, L., Lowe, E., and Chinn, J.L., 2015, California State Waters Map Series — Offshore of Point Reyes, California: U.S. Geological Survey Open-File Report 2015-1114, Pamphlet: iv, 39 p.; 10 Sheets: 52 x 36 inches or smaller ; Metadata; Data Catalog, https://doi.org/10.3133/ofr20151114.","productDescription":"Pamphlet: iv, 39 p.; 10 Sheets: 52 x 36 inches or smaller ; Metadata; Data Catalog","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-055336","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":305464,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet8.pdf","text":"Sheet 8","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 8","linkHelpText":"Seismic-Reflection Profiles, Offshore of Point Reyes Map Area, California By Janet T. Watt, Samuel Y. Johnson, John L. Chin, and Ray W. Sliter"},{"id":305458,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 2","linkHelpText":"Shaded-Relief Bathymetry, Offshore of Point Reyes Map Area, California By Peter Dartnell and Rikk G. Kvitek"},{"id":305457,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 1","linkHelpText":"Colored Shaded-Relief Bathymetry, Offshore of Point Reyes Map Area, California By Peter Dartnell and Rikk G. Kvitek"},{"id":305459,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet3.pdf","text":"Sheet 3","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 3","linkHelpText":"Acoustic Backscatter, Offshore of Point Reyes Map Area, California By Peter Dartnell, Mercedes D. Erdey, and Rikk G. Kvitek"},{"id":305456,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"},{"id":305455,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1114/"},{"id":305467,"rank":13,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1114/ofr20151114_metadata.html"},{"id":305468,"rank":14,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/781/OffshorePointReyes/data_catalog_OffshorePointReyes.html","text":"Data Catalog-Offshore of Point Reyes, California","description":"Data Catalog-Offshore of Point Reyes, California","linkHelpText":"Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":305460,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet4.pdf","text":"Sheet 4","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 4","linkHelpText":"Data Integration and Visualization, Offshore of Point Reyes Map Area, California By Peter Dartnell"},{"id":305461,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet5.pdf","text":"Sheet 5","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 5","linkHelpText":"Seafloor Character, Offshore of Point Reyes Map Area, California By Mercedes D. Erdey and Guy R. Cochrane"},{"id":305462,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet6.pdf","text":"Sheet 6","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 6","linkHelpText":"Ground-Truth Studies, Offshore of Point Reyes Map Area, California By Nadine E. Golden, Guy R. Cochrane, and Lisa M. Krigsman"},{"id":305463,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet7.pdf","text":"Sheet 7","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 7","linkHelpText":"Potential Marine Benthic Habitats, Offshore of Point Reyes Map Area, California By Charles A. Endris, H. Gary Greene, Bryan E. Dieter, Erik N. Lowe, and Mercedes D. Erdey"},{"id":305465,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet9.pdf","text":"Sheet 9","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 9","linkHelpText":"Local (Offshore of Point Reyes Map Area) and Regional (Offshore from Salt Point to Drakes Bay) Shallow-Subsurface Geology and Structure, California By Janet T. Watt, Samuel Y. Johnson, Stephen R. Hartwell, and Ray W. Sliter"},{"id":305466,"rank":12,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1114/pdf/ofr20151114_sheet10.pdf","text":"Sheet 10","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 10","linkHelpText":"Offshore and Onshore Geology and Geomorphology, Offshore of Point Reyes Map Area, California By Janet T. Watt, Michael W. Manson, and H. Gary Greene"},{"id":305469,"rank":15,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1114/images/coverthb.jpg"},{"id":399004,"rank":16,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_102082.htm"}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 10N","country":"United States","state":"California","city":"Point Reyes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.0936,\n              37.9389\n            ],\n            [\n              -123.0936,\n              38.0981\n            ],\n            [\n              -122.8931,\n              38.0981\n            ],\n            [\n              -122.8931,\n              37.9389\n            ],\n            [\n              -123.0936,\n              37.9389\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5593afa7e4b0b6d21dd6821e","contributors":{"editors":[{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":564023,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cochran, Susan A. 0000-0002-2442-8787 scochran@usgs.gov","orcid":"https://orcid.org/0000-0002-2442-8787","contributorId":2062,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","email":"scochran@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":564024,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golden, Nadine E. ngolden@usgs.gov","contributorId":140878,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","email":"ngolden@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":548273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greene, H. 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,{"id":70148010,"text":"ofr20151093 - 2015 - Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11","interactions":[],"lastModifiedDate":"2015-06-29T13:48:16","indexId":"ofr20151093","displayToPublicDate":"2015-06-29T14:45:00","publicationYear":"2015","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":"2015-1093","title":"Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11","docAbstract":"<p>After more than 50 years of extensive water diversion for urban and agriculture use, a major settlement was reached among the U.S. Departments of the Interior and Commerce, the Natural Resources Defense Council, and the Friant Water Users Authority in an effort to restore the San Joaquin River. The settlement received Federal court approval in October 2006 and established the San Joaquin River Restoration Program, a multi-agency collaboration between State and Federal agencies to restore and maintain fish populations, including Chinook salmon, in the main stem of the river between Friant Dam and the confluence with the Merced River. This is to be done while avoiding or minimizing adverse water supply effects to all of the Friant Division contractors that could result from restoration flows required by the settlement. The settlement stipulates that water- and sediment-quality data be collected to help assess the restoration goals. This report summarizes and evaluates water-quality data collected in the main stem of the San Joaquin River between Friant Dam and the Merced River by the U.S. Bureau of Reclamation for the San Joaquin River Restoration Program during 2009-11. This summary and assessment consider sampling frequency for adequate characterization of variability, sampling locations for sufficient characterization of the San Joaquin River Restoration Program restoration reach, sampling methods for appropriate media (water and sediment), and constituent reporting limits. After reviewing the water- and sediment-quality results for the San Joaquin River Restoration Program, several suggestions were made to the Fisheries Management Work Group, a division of the San Joaquin River Restoration Program that focuses solely on the reintroduction strategies and health of salmon and other native fishes in the river. Water-quality results for lead and total organic carbon exceeded the Surface Water Ambient Monitoring Program Basin Plan Objectives for the San Joaquin Basin, and results for copper exceeded the U.S. Environmental Protection Agency Office of Pesticide Programs' aquatic-life chronic and acute benchmarks for invertebrates. One sediment sample contained detections of pyrethroid pesticides bifenthrin, lambda-cyhalothrin, and total permethrin at concentrations above published chronic toxicity thresholds.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151093","usgsCitation":"Wulff, M.L., and Brown, L.R., 2015, Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11: U.S. Geological Survey Open-File Report 2015-1093, Report: iii, 25; 2 Appendices, https://doi.org/10.3133/ofr20151093.","productDescription":"Report: iii, 25; 2 Appendices","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-036179","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":305439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151093.jpg"},{"id":305420,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1093/"},{"id":305421,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1093/pdf/ofr2015-1093.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1093 Report"},{"id":305422,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1093/downloads/ofr2015-1093_appendix_a.xlsx","text":"Appendix A","size":"658 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1093 Appendix A"},{"id":305423,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1093/downloads/ofr2015-1093_appendix_c.xlsx","text":"Appendix C","size":"116 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1093 Appendix C"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.62850952148436,\n              37.45142216912853\n            ],\n            [\n              -120.62850952148436,\n              37.47976234695507\n            ],\n            [\n              -120.47470092773436,\n              37.47976234695507\n            ],\n            [\n              -120.47470092773436,\n              37.45142216912853\n            ],\n            [\n              -120.62850952148436,\n              37.45142216912853\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55925e30e4b0b6d21dd67619","contributors":{"authors":[{"text":"Wulff, Marissa L. 0000-0003-0121-9066 mwulff@usgs.gov","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":1719,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"mwulff@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563900,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155864,"text":"70155864 - 2015 - Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea","interactions":[],"lastModifiedDate":"2015-08-17T09:58:34","indexId":"70155864","displayToPublicDate":"2015-06-28T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea","docAbstract":"<p>The oceans absorb anthropogenic CO<sub>2</sub> from the atmosphere, lowering surface ocean pH, a concern for calcifying marine organisms. The impact of ocean acidification is challenging to predict as each species appears to respond differently and because our knowledge of natural changes to ocean pH is limited in both time and space. Here we reconstruct 222 years of biennial seawater pH variability in the Sargasso Sea from a brain coral, <i>Diploria labyrinthiformis</i>. Using hydrographic data from the Bermuda Atlantic Time-series Study and the coral-derived pH record, we are able to differentiate pH changes due to surface temperature versus those from ocean circulation and biogeochemical changes. We find that ocean pH does not simply reflect atmospheric CO<sub>2</sub> trends but rather that circulation/biogeochemical changes account for &gt;90% of pH variability in the Sargasso Sea and more variability in the last century than would be predicted from anthropogenic uptake of CO<sub>2</sub> alone.</p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GL064431","collaboration":"Asian School of the Environment, Nanyang Technological Unicersity, Singapore\nEarth Observatory of Singapore, Singapore\nNational Cheung Kung University, Tainan, Taiwan\nWoods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA\nBermuda Institute of Ocean Sciences, St. George’s, Bermuda\nAcademia Sinica, Taipei, Taiwan","usgsCitation":"Goodkin, N.F., Wang, B., You, C., Hughen, K., Prouty, N.G., Bates, N., and Doney, S., 2015, Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea: Geophysical Research Letters, v. 42, no. 12, p. 4931-4939, https://doi.org/10.1002/2015GL064431.","productDescription":"9 p.","startPage":"4931","endPage":"4939","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064178","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064431","text":"Publisher Index Page"},{"id":306776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-25","publicationStatus":"PW","scienceBaseUri":"55d305b8e4b0518e35468d13","contributors":{"authors":[{"text":"Goodkin, Nathalie F.","contributorId":146214,"corporation":false,"usgs":false,"family":"Goodkin","given":"Nathalie","email":"","middleInitial":"F.","affiliations":[{"id":16631,"text":"Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":566627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Bo-Shian","contributorId":146215,"corporation":false,"usgs":false,"family":"Wang","given":"Bo-Shian","email":"","affiliations":[{"id":16632,"text":"National Cheung Kung University","active":true,"usgs":false}],"preferred":false,"id":566628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"You, Chen-Feng","contributorId":146216,"corporation":false,"usgs":false,"family":"You","given":"Chen-Feng","email":"","affiliations":[{"id":16632,"text":"National Cheung Kung University","active":true,"usgs":false}],"preferred":false,"id":566629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughen, Konrad","contributorId":146217,"corporation":false,"usgs":false,"family":"Hughen","given":"Konrad","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":566630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":566626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bates, Nicholas","contributorId":146218,"corporation":false,"usgs":false,"family":"Bates","given":"Nicholas","email":"","affiliations":[{"id":16634,"text":"Bermuda Institute of Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":566631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doney, Scott","contributorId":146219,"corporation":false,"usgs":false,"family":"Doney","given":"Scott","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":566632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188820,"text":"70188820 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:33:22","indexId":"70188820","displayToPublicDate":"2015-06-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential. </p><p>The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.</p><p> For this report, DGGS funded reanalysis of 653 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from an area covering portions of the Inmachuk, Kugruk, Kiwalik, and Koyuk river drainages, Granite Mountain, and the northern Darby Mountains, located in the Bendeleben, Candle, Kotzebue, and Solomon quadrangles of eastern Seward Peninsula, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.</p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29448","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Inmachuk, Kugruk, Kiwalik, and Koyuk River drainages, Granite Mountain, and the northern Darby Mountains, Bendeleben, Candle, Kotzebue, and Solomon quadrangles, Alaska, 5 p. , https://doi.org/10.14509/29448.","productDescription":"5 p. ","startPage":"1","endPage":"5","numberOfPages":"7","ipdsId":"IP-064890","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29448","text":"Publisher Index Page"},{"id":342979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -161.136474609375,\n              66.21373941545203\n            ],\n            [\n              -161.60888671875,\n              66.2447378667497\n            ],\n            [\n        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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eaae4b062508e3c7a89","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":700492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148568,"text":"sir20155085 - 2015 - Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014","interactions":[],"lastModifiedDate":"2015-06-26T16:01:27","indexId":"sir20155085","displayToPublicDate":"2015-06-26T16:45:00","publicationYear":"2015","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":"2015-5085","title":"Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, has maintained a water-level monitoring program at the Idaho National Laboratory (INL) since 1949 to systematically measure water levels to provide long-term information on groundwater recharge, discharge, movement, and storage in the eastern Snake River Plain (ESRP) aquifer. During 2014, water levels in the ESRP aquifer reached all-time lows for the period of record, prompting this study to assess the effect that future water-level declines may have on pumps and wells. Water-level data were compared with pump-setting depth to determine the hydraulic head above the current pump setting. Additionally, geophysical logs were examined to address changes in well productivity with water-level declines. Furthermore, hydrologic factors that affect water levels in different areas of the INL were evaluated to help understand why water-level changes occur.</p>\n<p>Review of pump intake placement and 2014 water-level data indicates that 40 wells completed within the ESRP aquifer at the INL have 20 feet (ft) or less of head above the pump. Nine of the these wells are located in the northeastern and northwestern areas of the INL where recharge is predominantly affected by irrigation, wet and dry cycles of precipitation, and flow in the Big Lost River. Water levels in northeastern and northwestern wells generally show water-level fluctuations of as much as 4.5 ft seasonally and show declines as much as 25 ft during the past 14 years.</p>\n<p>In the southeastern area of the INL, seven wells were identified as having less than 20 ft of water remaining above the pump. Most of the wells in the southeast show less decline over the period of record compared with wells in the northeast; the smaller declines are probably attributable to less groundwater withdrawal from pumping of wells for irrigation. In addition, most of the southeastern wells show only about a 1&ndash;2 ft fluctuation seasonally because they are less influenced by groundwater withdrawals for irrigation.</p>\n<p>In the southwestern area of the INL, 24 wells were identified as having less than 20 ft of water remaining above the pump. Wells in the southwest also only show small 1&ndash;2 ft fluctuations seasonally because of a lack of irrigation influence. Wells show larger fluctuation in water levels closer to the Big Lost River and fluctuate in response to wet and dry cycles of recharge to the Big Lost River.</p>\n<p>Geophysical logs indicate that most of the wells evaluated will maintain their current production until the water level declines to the depth of the pump. A few of the wells may become less productive once the water level gets to within about 5 ft from the top of the pump. Wells most susceptible to future drought cycles are those in the northeastern and northwestern areas of the INL.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155085","collaboration":"U.S. Department of Energy","usgsCitation":"Bartholomay, R.C., and Twining, B.V., 2015, Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014: U.S. Geological Survey Scientific Investigations Report 2015-5085, Report: v, 37 p.; 1 Appendix, https://doi.org/10.3133/sir20155085.","productDescription":"Report: v, 37 p.; 1 Appendix","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060008","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":303220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155085.jpg"},{"id":303174,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5085/"},{"id":303175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5085/pdf/sir2015-5085.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":303176,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5085/pdf/sir2015-5085_appendixa.pdf","text":"Appendix A","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix A"}],"country":"United States","state":"Idaho","otherGeospatial":"Eastern Snake River Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.32373046875,\n              43.08092540794885\n            ],\n            [\n              -114.32373046875,\n              43.97700467496408\n            ],\n            [\n              -111.97265625,\n              43.97700467496408\n            ],\n            [\n              -111.97265625,\n              43.08092540794885\n            ],\n            [\n              -114.32373046875,\n              43.08092540794885\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e69abe4b0b6d21dd658fe","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548652,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148605,"text":"70148605 - 2015 - Reproductive biology of <i>Ambystoma</i> salamanders in the southeastern United States","interactions":[],"lastModifiedDate":"2015-06-26T12:56:10","indexId":"70148605","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1899,"text":"Herpetology Notes","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive biology of <i>Ambystoma</i> salamanders in the southeastern United States","docAbstract":"<p>Reproductive aspects of <i>Ambystoma</i> salamanders were investigated at sites in Louisiana (2010&ndash;12) and Mississippi (2013). Three species occurred at the Louisiana site, Spotted Salamander (<i>A. maculatum</i>), Marbled Salamander (<i>A. opacum</i>), and Mole Salamander (<i>A. talpoideum</i>), whereas only Spotted Salamanders were studied at the Mississippi site. A total of 162 and 71 egg masses of Spotted Salamanders were examined at the Louisiana and Mississippi sites, respectively. Significantly more Spotted Salamander eggs per egg mass were observed at the Mississippi site (x̄ = 78.2) than the Louisiana site (x̄ = 53.8; P &lt; 0.001). The mean snout&ndash;vent length of female Spotted Salamanders at the Mississippi site (82.9 mm) was significantly larger than the Louisiana site (76.1 mm; P &lt; 0.001). Opaque Spotted Salamander egg masses were not found at the Mississippi site, but accounted for 11% of examined egg masses at the Louisiana site. The mean number of eggs per egg mass at the Louisiana site did not differ between opaque (47.3) and clear (54.6) egg masses (P = 0.21). A total of 47 egg masses of the Mole Salamander were examined, with a mean number of 6.7 embryos per mass. Twenty-three individual nests of the Marbled Salamander were found either under or in decaying logs in the dry pond basins. There was no difference between the mean numbers of eggs per mass of attended nests (93.0) versus those that were discovered unattended (86.6; P = 0.67). Females tended to place their nests at intermediate heights within the pond basin.</p>","language":"English","publisher":"Herpetology Notes","usgsCitation":"Glorioso, B.M., Waddle, J.H., and Hefner, J.M., 2015, Reproductive biology of <i>Ambystoma</i> salamanders in the southeastern United States: Herpetology Notes, v. 8, p. 347-356.","productDescription":"10 p.","startPage":"347","endPage":"356","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057734","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":302567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301288,"type":{"id":15,"text":"Index Page"},"url":"https://www.biotaxa.org/hn/article/view/12746/13789"}],"country":"United States","state":"Louisiana, Mississippi","county":"Hinds Cuonty, Natchitoches Parish","otherGeospatial":"Kisatchie National Forest, Natchez Trace National Parkway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.2958984375,\n              31.325486676506983\n            ],\n            [\n              -93.2958984375,\n              31.718822224083244\n            ],\n            [\n              -92.7685546875,\n              31.718822224083244\n            ],\n            [\n              -92.7685546875,\n              31.325486676506983\n            ],\n            [\n              -93.2958984375,\n              31.325486676506983\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.54931640625,\n              32.11980111179328\n            ],\n            [\n              -90.54931640625,\n              32.56533316084101\n            ],\n            [\n              -90.06591796875,\n              32.56533316084101\n            ],\n            [\n              -90.06591796875,\n              32.11980111179328\n            ],\n            [\n              -90.54931640625,\n              32.11980111179328\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e69aee4b0b6d21dd65902","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","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":548855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":548856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hefner, J. M.","contributorId":39427,"corporation":false,"usgs":true,"family":"Hefner","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":548857,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173576,"text":"70173576 - 2015 - The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir","interactions":[],"lastModifiedDate":"2016-06-07T16:42:49","indexId":"70173576","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir","docAbstract":"<p><span>Reservoirs can be dynamic systems, often prone to unpredictable and extreme water-level fluctuations, and can be environments where survival is difficult for zooplankton and larval fish. Although numerous studies have examined the effects of extreme reservoir drawdown on water quality, few have examined extreme drawdown on both abiotic and biotic characteristics. A fissure in the dam at Red Willow Reservoir in southwest Nebraska necessitated an extreme drawdown; the water level was lowered more than 6 m during a two-month period, reducing reservoir volume by 76%. During the subsequent low-water period (i.e., post-drawdown), spring sampling (April&ndash;June) showed dissolved oxygen concentration was lower, while turbidity and chlorophyll-</span><i>a</i><span>&nbsp;concentration were greater, relative to pre-drawdown conditions. Additionally, there was an overall increase in zooplankton density, although there were differences among taxa, and changes in mean size among taxa, relative to pre-drawdown conditions. Zooplankton assemblage composition had an average dissimilarity of 19.3% from pre-drawdown to post-drawdown. The ratio of zero to non-zero catches was greater post-drawdown for larval common carp and for all larval fishes combined, whereas we observed no difference for larval gizzard shad. Larval fish assemblage composition had an average dissimilarity of 39.7% from pre-drawdown to post-drawdown. Given the likelihood that other dams will need repair or replacement in the near future, it is imperative for effective reservoir management that we anticipate the likely abiotic and biotic responses of reservoir ecosystems as these management actions will continue to alter environmental conditions in reservoirs.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2015.1055312","usgsCitation":"DeBoer, J.A., Webber, C.M., Dixon, T.A., and Pope, K.L., 2015, The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir: Journal of Freshwater Ecology, v. 31, no. 1, p. 131-146, https://doi.org/10.1080/02705060.2015.1055312.","productDescription":"16 p.","startPage":"131","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054381","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471992,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2015.1055312","text":"Publisher Index Page"},{"id":323232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"High Butler Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.67647933959961,\n              40.39022733840729\n            ],\n            [\n              -100.67527770996094,\n              40.38499730777754\n            ],\n            [\n              -100.6728744506836,\n              40.37819766081352\n            ],\n            [\n              -100.6680679321289,\n              40.37061262953356\n            ],\n            [\n              -100.66360473632812,\n      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,{"id":70188821,"text":"70188821 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Kougarok area, Bendeleben and Teller quadrangles, Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:24:02","indexId":"70188821","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Kougarok area, Bendeleben and Teller quadrangles, Seward Peninsula, Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.</p><p> The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.</p><p> For this report, DGGS funded reanalysis of 302 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Kougarok River drainage as well as smaller adjacent drainages in the Bendeleben and Teller quadrangles, Seward Peninsula, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.</p>","largerWorkTitle":"Alaska Division of Geological & Geophysical Surveys","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29450","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Kougarok area, Bendeleben and Teller quadrangles, Seward Peninsula, Alaska, Report: 5 p. , https://doi.org/10.14509/29450.","productDescription":"Report: 5 p. 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,{"id":70159797,"text":"70159797 - 2015 - Detection of snake fungal disease due to <i>Ophidiomyces ophiodiicola</i> in Virginia, USA","interactions":[],"lastModifiedDate":"2018-01-02T15:06:26","indexId":"70159797","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Detection of snake fungal disease due to <i>Ophidiomyces ophiodiicola</i> in Virginia, USA","docAbstract":"<p><span>Snake fungal disease (SFD) is an emerging disease of wildlife believed to be caused by&nbsp;</span><i>Ophidiomyces ophiodiicola</i><span>. Although geographic and host ranges have yet to be determined, this disease is characterized by crusty scales, superficial pustules, and subcutaneous nodules, with subsequent morbidity and mortality in some snake species. To confirm the presence of SFD and&nbsp;</span><i>O. ophiodiicola</i><span>&nbsp;in snakes of eastern Virginia, USA, we clinically examined 30 free-ranging snakes on public lands from April to October 2014. Skin biopsy samples were collected from nine snakes that had gross lesions suggestive of SFD; seven of these biopsies were suitable for histologic interpretation, and eight were suitable for culture and PCR detection of&nbsp;</span><i>O. ophiodiicola</i><span>. Seven snakes had histologic features consistent with SFD and were positive for&nbsp;</span><i>O. ophiodiicola</i><span>&nbsp;by PCR or fungal culture.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2015-04-093.1","usgsCitation":"Guthrie, A.L., Knowles, S., Ballmann, A., and Lorch, J.M., 2015, Detection of snake fungal disease due to <i>Ophidiomyces ophiodiicola</i> in Virginia, USA: Journal of Wildlife Diseases, v. 52, no. 1, p. 143-149, https://doi.org/10.7589/2015-04-093.1.","productDescription":"7 p.","startPage":"143","endPage":"149","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064847","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":311660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n   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L.","contributorId":70271,"corporation":false,"usgs":true,"family":"Guthrie","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":580487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health 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,{"id":70173907,"text":"70173907 - 2015 - An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period","interactions":[],"lastModifiedDate":"2016-06-15T11:16:51","indexId":"70173907","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period","docAbstract":"<p><span>Bird conservation Joint Ventures are collaborative partnerships between public agencies and private organizations that facilitate habitat management to support waterfowl and other bird populations. A subset of Joint Ventures has developed energetic carrying capacity models (ECCs) to translate regional waterfowl population goals into habitat objectives during the non-breeding period. Energetic carrying capacity models consider food biomass, metabolism, and available habitat to estimate waterfowl carrying capacity within an area. To evaluate Joint Venture ECCs in the context of waterfowl space use, we monitored 33 female mallards (</span><i>Anas platyrhynchos</i><span>) and 55 female American black ducks (</span><i>A. rubripes</i><span>) using global positioning system satellite telemetry in the central and eastern United States. To quantify space use, we measured first-passage time (FPT: time required for an individual to transit across a circle of a given radius) at biologically relevant spatial scales for mallards (3.46&thinsp;km) and American black ducks (2.30&thinsp;km) during the non-breeding period, which included autumn migration, winter, and spring migration. We developed a series of models to predict FPT using Joint Venture ECCs and compared them to a biological null model that quantified habitat composition and a statistical null model, which included intercept and random terms. Energetic carrying capacity models predicted mallard space use more efficiently during autumn and spring migrations, but the statistical null was the top model for winter. For American black ducks, ECCs did not improve predictions of space use; the biological null was top ranked for winter and the statistical null was top ranked for spring migration. Thus, ECCs provided limited insight into predicting waterfowl space use during the non-breeding season. Refined estimates of spatial and temporal variation in food abundance, habitat conditions, and anthropogenic disturbance will likely improve ECCs and benefit conservation planners in linking non-breeding waterfowl habitat objectives with distribution and population parameters. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.</span></p>","language":"English","publisher":"Washington Wildlife Society","doi":"10.1002/jwmg.920","usgsCitation":"Beatty, W.S., Webb, E.B., Kesler, D.C., Naylor, L.W., Raedeke, A.H., Humburg, D.D., Coluccy, J.M., and Soulliere, G., 2015, An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period: Journal of Wildlife Management, v. 79, no. 7, p. 1141-1151, https://doi.org/10.1002/jwmg.920.","productDescription":"11 p.","startPage":"1141","endPage":"1151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058474","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Arkansas, Delaware, Louisiana, Michigan, New Jersey, New York, Ohio, Oklahoma, Saskatchewan, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.251953125,\n              31.914867503276223\n            ],\n            [\n              -94.39453125,\n              36.20882309283712\n            ],\n            [\n              -107.0068359375,\n              49.95121990866206\n            ],\n            [\n              -84.55078125,\n              44.653024159812\n            ],\n            [\n              -80.9912109375,\n              41.73852846935917\n            ],\n            [\n              -74.091796875,\n              44.84029065139799\n            ],\n            [\n              -75.5419921875,\n              38.92522904714054\n            ],\n            [\n              -77.95898437499999,\n              37.055177106660814\n            ],\n            [\n              -93.251953125,\n              31.914867503276223\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"57627c2de4b07657d19a69c0","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":638982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":638983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":638984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":638985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coluccy, John M.","contributorId":111382,"corporation":false,"usgs":true,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Soulliere, G.","contributorId":31107,"corporation":false,"usgs":true,"family":"Soulliere","given":"G.","email":"","affiliations":[],"preferred":false,"id":638987,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70150447,"text":"70150447 - 2015 - Trends in Snow Cover in the Continental United States (1950-2010)","interactions":[],"lastModifiedDate":"2015-10-23T13:11:50","indexId":"70150447","displayToPublicDate":"2015-06-25T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Trends in Snow Cover in the Continental United States (1950-2010)","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston","usgsCitation":"Knowles, N., 2015, Trends in Snow Cover in the Continental United States (1950-2010): Journal of Climate, v. 28, no. 19, p. 7518-7528.","productDescription":"11 p.","startPage":"7518","endPage":"7528","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061342","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":310601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -127.08984375000001,\n              24.5271348225978\n            ],\n            [\n              -127.08984375000001,\n              49.095452162534826\n            ],\n            [\n              -66.4453125,\n              49.095452162534826\n            ],\n            [\n              -66.4453125,\n              24.5271348225978\n            ],\n            [\n              -127.08984375000001,\n              24.5271348225978\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a37e4b00162522207f2","contributors":{"authors":[{"text":"Knowles, Noah 0000-0001-5652-1049 nknowles@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":1380,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","email":"nknowles@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":556894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188822,"text":"70188822 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:20:08","indexId":"70188822","displayToPublicDate":"2015-06-25T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential. </p><p>The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska.</p><p> For this report, DGGS funded reanalysis of 212 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the Chilkat, Klehini, Tsirku, and Takhin river drainages, as well as smaller drainages flowing into Chilkat and Chilkoot Inlets near Haines, Skagway Quadrangle, Southeast Alaska. Additionally some samples were also chosen from the Juneau gold belt, Juneau Quadrangle, Southeast Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.</p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29449","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the Haines area, Juneau and Skagway quadrangles, southeast Alaska, Report: 5 p. , https://doi.org/10.14509/29449.","productDescription":"Report: 5 p. 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,{"id":70155915,"text":"70155915 - 2015 - Incorporating phosphorus cycling into global modeling efforts: a worthwhile, tractable endeavor","interactions":[],"lastModifiedDate":"2017-02-13T14:15:49","indexId":"70155915","displayToPublicDate":"2015-06-25T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating phosphorus cycling into global modeling efforts: a worthwhile, tractable endeavor","docAbstract":"<p>Myriad field, laboratory, and modeling studies show that nutrient availability plays a fundamental role in regulating CO<sub>2</sub> exchange between the Earth's biosphere and atmosphere, and in determining how carbon pools and fluxes respond to climatic change. Accordingly, global models that incorporate coupled climate&ndash;carbon cycle feedbacks made a significant advance with the introduction of a prognostic nitrogen cycle. Here we propose that incorporating phosphorus cycling represents an important next step in coupled climate&ndash;carbon cycling model development, particularly for lowland tropical forests where phosphorus availability is often presumed to limit primary production. We highlight challenges to including phosphorus in modeling efforts and provide suggestions for how to move forward.</p>","language":"English","publisher":"Wiley","doi":"10.1111/nph.13521","usgsCitation":"Reed, S.C., Yang, X., and Thornton, P.E., 2015, Incorporating phosphorus cycling into global modeling efforts: a worthwhile, tractable endeavor: New Phytologist, v. 208, no. 2, p. 324-329, https://doi.org/10.1111/nph.13521.","productDescription":"6 p.","startPage":"324","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061435","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":471994,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1335328","text":"External Repository"},{"id":306872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"208","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-25","publicationStatus":"PW","scienceBaseUri":"55d45731e4b0518e354694cd","contributors":{"authors":[{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":566809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Xiaojuan","contributorId":146256,"corporation":false,"usgs":false,"family":"Yang","given":"Xiaojuan","email":"","affiliations":[{"id":16649,"text":"Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN 37831-6335, USA","active":true,"usgs":false}],"preferred":false,"id":566810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thornton, Peter E.","contributorId":146257,"corporation":false,"usgs":false,"family":"Thornton","given":"Peter","email":"","middleInitial":"E.","affiliations":[{"id":16649,"text":"Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN 37831-6335, USA","active":true,"usgs":false}],"preferred":false,"id":566811,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70150300,"text":"fs20153046 - 2015 - EROS resources for the classroom","interactions":[],"lastModifiedDate":"2017-01-18T10:02:03","indexId":"fs20153046","displayToPublicDate":"2015-06-24T16:00:00","publicationYear":"2015","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":"2015-3046","title":"EROS resources for the classroom","docAbstract":"<p><span>The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center has several educational resources that demonstrate how satellite imagery is used to understand our changing world.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153046","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2015, EROS resources for the classroom: U.S. Geological Survey Fact Sheet 2015-3046, 2 p., https://doi.org/10.3133/fs20153046.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066015","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":302315,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3046/pdf/fs2015-3046.pdf","text":"Report","size":"831 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153046.jpg"},{"id":302314,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3046/"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b0e4b0b6d21dd6528e","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":556681,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148587,"text":"ofr20151112 - 2015 - Geology and assessment of unconventional oil and gas resources of northeastern Mexico","interactions":[],"lastModifiedDate":"2015-06-24T14:57:36","indexId":"ofr20151112","displayToPublicDate":"2015-06-24T15:45:00","publicationYear":"2015","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":"2015-1112","title":"Geology and assessment of unconventional oil and gas resources of northeastern Mexico","docAbstract":"<p><span>The U.S. Geological Survey, in cooperation with the U.S. Department of State, quantitatively assessed the potential for unconventional oil and gas resources within the onshore portions of the Tampico-Misantla Basin, Burgos Basin, and Sabinas Basin provinces of northeastern Mexico. Unconventional resources of the Veracruz Basin were not quantitatively assessed because of a current lack of required geological information. Unconventional resources include shale gas, shale oil, tight gas, tight oil, and coalbed gas. Undiscovered conventional oil and gas resources were assessed in Mexico in 2012.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151112","usgsCitation":"U.S. Geological Survey Mexico Assessment Team, 2015, Geology and assessment of unconventional oil and gas resources of northeastern Mexico: U.S. Geological Survey Open-File Report 2015-1112, 1 sheet, https://doi.org/10.3133/ofr20151112.","productDescription":"1 sheet","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059410","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":302313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151112.jpg"},{"id":302312,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1112/pdf/ofr2015-1112.pdf","text":"Report","size":"12.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302311,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1112/"}],"country":"Mexico","otherGeospatial":"Burgos Basin, Sabinas Basin, Tampico-Misantla Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.14111328125,\n              25.918526162075153\n            ],\n            [\n              -97.31689453125,\n              25.3241665257384\n            ],\n            [\n              -97.62451171875,\n              25.264568475331583\n            ],\n            [\n              -97.7783203125,\n              24.10664717920179\n            ],\n            [\n              -97.84423828125,\n              22.553147478403194\n            ],\n            [\n              -97.42675781249999,\n              20.981956742832327\n            ],\n            [\n              -96.5478515625,\n              19.993998469485504\n            ],\n            [\n              -97.03125,\n              19.993998469485504\n            ],\n            [\n              -98.1298828125,\n              20.220965779522313\n            ],\n            [\n              -100.08544921874999,\n              22.044913300245675\n            ],\n            [\n              -100.61279296875,\n              23.079731762449878\n            ],\n            [\n              -99.68994140625,\n              23.200960808078566\n            ],\n            [\n              -98.6572265625,\n              23.32208001137843\n            ],\n            [\n              -98.4375,\n              24.206889622398023\n            ],\n            [\n              -99.2724609375,\n              25.005972656239187\n            ],\n            [\n              -100.70068359374999,\n              25.50278454875533\n            ],\n            [\n              -102.83203125,\n              26.47057302237511\n            ],\n            [\n              -103.6669921875,\n              26.80446076654616\n            ],\n            [\n              -103.82080078125,\n              27.89734922968426\n            ],\n            [\n              -103.35937499999999,\n              29.017748018496047\n            ],\n            [\n              -101.14013671875,\n              28.246327971048842\n            ],\n            [\n              -100.81054687499999,\n              28.57487404744697\n            ],\n            [\n              -101.05224609374999,\n              28.92163128242129\n            ],\n            [\n              -100.8984375,\n              29.305561325527698\n            ],\n            [\n              -99.49218749999999,\n              27.46928747369202\n            ],\n            [\n              -99.11865234374999,\n              26.41155054662258\n            ],\n            [\n              -98.0859375,\n              26.07652055985697\n            ],\n            [\n              -97.27294921875,\n              25.878994400196202\n            ],\n            [\n              -97.14111328125,\n              25.918526162075153\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b1e4b0b6d21dd65292","contributors":{"authors":[{"text":"U.S. Geological Survey Mexico Assessment Team","contributorId":143703,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Mexico Assessment Team","id":548763,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70150299,"text":"ofr20151076 - 2015 - Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs","interactions":[],"lastModifiedDate":"2015-06-24T12:45:52","indexId":"ofr20151076","displayToPublicDate":"2015-06-24T13:30:00","publicationYear":"2015","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":"2015-1076","title":"Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs","docAbstract":"<p>Oil-particle interactions and oil submergence are of much interest to oil spill responders and scientists, especially as transportation of light and heavy crude oils increases in North America&rsquo;s coastal marine and freshwater environments. This report contains an up-to-date review of the state of the science for oil-particle aggregates (OPAs), in terms of their formation and stability which may alter the transport, fate, and toxicity of the residual oil and, hence, its level of ecological risk. Operational considerations&mdash;detection, containment, and recovery&mdash;are discussed.</p>\n<p>Although much is known about oil-particle interactions in coastal marine environments, there remains a need for additional science on methods to detect and quantify the presence of OPAs and to understand their effects on containment and recovery of oil spilled under various temperature regimes and in different aquatic habitats including freshwater environments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151076","usgsCitation":"Fitzpatrick, F., Boufadel, M.C., Johnson, R., Lee, K.W., Graan, T.P., Bejarano, A.C., Zhu, Z., Waterman, D., Capone, D.M., Hayter, E., Hamilton, S.K., Dekker, T., Garcia, M., and Hassan, J.S., 2015, Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs: U.S. Geological Survey Open-File Report 2015-1076, v, 35 p., https://doi.org/10.3133/ofr20151076.","productDescription":"v, 35 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059436","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":302289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151076.jpg"},{"id":302288,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1076/pdf/ofr2015-1076.pdf","text":"Report","size":"1.49 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302287,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1076/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd65298","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":127794,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":556667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boufadel, Michael C.","contributorId":143663,"corporation":false,"usgs":false,"family":"Boufadel","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":15288,"text":"Center for Natural Resources Development and Protection, Department of Civil and Environmental Engineering, the New Jersey Institute of Technology, Newark NJ","active":true,"usgs":false}],"preferred":false,"id":556668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Rex","contributorId":104374,"corporation":false,"usgs":true,"family":"Johnson","given":"Rex","affiliations":[],"preferred":false,"id":556670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Kenneth W.","contributorId":16099,"corporation":false,"usgs":true,"family":"Lee","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":556669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graan, Thomas P.","contributorId":97021,"corporation":false,"usgs":true,"family":"Graan","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":556679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bejarano, Adriana C.","contributorId":143667,"corporation":false,"usgs":false,"family":"Bejarano","given":"Adriana","email":"","middleInitial":"C.","affiliations":[{"id":15292,"text":"Research Planning, Inc.","active":true,"usgs":false}],"preferred":false,"id":556677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, Zhenduo","contributorId":83828,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhenduo","affiliations":[],"preferred":false,"id":556672,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waterman, David","contributorId":143664,"corporation":false,"usgs":false,"family":"Waterman","given":"David","email":"","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":556671,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Capone, Daniel M.","contributorId":64167,"corporation":false,"usgs":true,"family":"Capone","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556678,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hayter, Earl","contributorId":143665,"corporation":false,"usgs":false,"family":"Hayter","given":"Earl","affiliations":[{"id":15290,"text":"USACE, Coastal and Hydraulic Laboratory","active":true,"usgs":false}],"preferred":false,"id":556673,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hamilton, Stephen K.","contributorId":143690,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":556799,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dekker, Timothy","contributorId":143666,"corporation":false,"usgs":false,"family":"Dekker","given":"Timothy","email":"","affiliations":[{"id":15291,"text":"Limno Tech, Inc.","active":true,"usgs":false}],"preferred":false,"id":556676,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":556675,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hassan, Jacob S.","contributorId":143668,"corporation":false,"usgs":false,"family":"Hassan","given":"Jacob","email":"","middleInitial":"S.","affiliations":[{"id":15293,"text":"USEPA Region V","active":true,"usgs":false}],"preferred":false,"id":556680,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70150405,"text":"70150405 - 2015 - Context-dependent survival, fecundity and predicted population-level consequences of brucellosis in African buffalo","interactions":[],"lastModifiedDate":"2018-08-09T12:51:26","indexId":"70150405","displayToPublicDate":"2015-06-24T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Context-dependent survival, fecundity and predicted population-level consequences of brucellosis in African buffalo","docAbstract":"<ol id=\"jane12356-list-0001\" class=\"numbered\">\n<li>Chronic infections may have negative impacts on wildlife populations, yet their effects are difficult to detect in the absence of long-term population monitoring.&nbsp;<i>Brucella abortus</i>, the bacteria responsible for bovine brucellosis, causes chronic infections and abortions in wild and domestic ungulates, but its impact on population dynamics is not well understood.</li>\n<li>We report infection patterns and fitness correlates of bovine brucellosis in African buffalo based on (1) 7&nbsp;years of cross-sectional disease surveys and (2) a 4-year longitudinal study in Kruger National Park (KNP), South Africa. We then used a matrix population model to translate these observed patterns into predicted population-level effects.</li>\n<li>Annual brucellosis seroprevalence ranged from 8&middot;7% (95% CI&nbsp;=&nbsp;1&middot;8&ndash;15&middot;6) to 47&middot;6% (95% CI&nbsp;=&nbsp;35&middot;1&ndash;60&middot;1) increased with age until adulthood (&gt;6) and varied by location within KNP. Animals were on average in worse condition after testing positive for brucellosis (<i>F</i>&nbsp;=&nbsp;&minus;5&middot;074,&nbsp;<i>P</i>&nbsp;&lt;&nbsp;0&middot;0001), and infection was associated with a 2&middot;0 (95% CI&nbsp;=&nbsp;1&middot;1&ndash;3&middot;7) fold increase in mortality (&chi;<sup>2</sup>&nbsp;=&nbsp;2&middot;039,&nbsp;<i>P</i>&nbsp;=&nbsp;0&middot;036). Buffalo in low body condition were associated with lower reproductive success (<i>F</i>&nbsp;=&nbsp;2&middot;683,&nbsp;<i>P</i>&nbsp;=&nbsp;0&middot;034), but there was no association between brucellosis and pregnancy or being observed with a calf.</li>\n<li>For the range of body condition scores observed in the population, the model-predicted growth rate was &lambda;&nbsp;=&nbsp;1&middot;11 (95% CI&nbsp;=&nbsp;1&middot;02&ndash;1&middot;21) in herds without brucellosis and &lambda;&nbsp;=&nbsp;1&middot;00 (95% CI&nbsp;=&nbsp;0&middot;85&ndash;1&middot;16) when brucellosis seroprevalence was 30%.</li>\n<li>Our results suggest that brucellosis infection can potentially result in reduced population growth rates, but because these effects varied with demographic and environmental conditions, they may remain unseen without intensive, longitudinal monitoring.</li>\n</ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.12356","usgsCitation":"Gorsich, E.E., Ezenwa, V.O., Cross, P.C., Bengis, R.G., and Jolles, A.E., 2015, Context-dependent survival, fecundity and predicted population-level consequences of brucellosis in African buffalo: Journal of Animal Ecology, v. 84, p. 999-1009, https://doi.org/10.1111/1365-2656.12356.","productDescription":"11 p.","startPage":"999","endPage":"1009","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058077","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":302280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Africa","otherGeospatial":"Kruger National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            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0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":556773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bengis, Roy G.","contributorId":29636,"corporation":false,"usgs":true,"family":"Bengis","given":"Roy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":556776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jolles, Anna E.","contributorId":40421,"corporation":false,"usgs":true,"family":"Jolles","given":"Anna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":556777,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70150362,"text":"70150362 - 2015 - Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru","interactions":[],"lastModifiedDate":"2015-06-24T10:14:50","indexId":"70150362","displayToPublicDate":"2015-06-24T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru","docAbstract":"<p><span>Two forestry-change detection methods are described, compared, and contrasted for estimating deforestation and growth in threatened forests in southern Peru from 2000 to 2010. The methods used in this study rely on freely available data, including atmospherically corrected Landsat 5 Thematic Mapper and Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation continuous fields (VCF). The two methods include a conventional supervised signature extraction method and a unique self-calibrating method called MODIS VCF guided forest/nonforest (FNF) masking. The process chain for each of these methods includes a threshold classification of MODIS VCF, training data or signature extraction, signature evaluation, k-nearest neighbor classification, analyst-guided reclassification, and postclassification image differencing to generate forest change maps. Comparisons of all methods were based on an accuracy assessment using 500 validation pixels. Results of this accuracy assessment indicate that FNF masking had a 5% higher overall accuracy and was superior to conventional supervised classification when estimating forest change. Both methods succeeded in classifying persistently forested and nonforested areas, and both had limitations when classifying forest change.</span></p>","language":"English","publisher":"SPIE","doi":"10.1117/1.JRS.9.096040","usgsCitation":"Shermeyer, J.S., and Haack, B.N., 2015, Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru: Journal of Applied Remote Sensing, v. 9, no. 1, e096040: 15 p., https://doi.org/10.1117/1.JRS.9.096040.","productDescription":"e096040: 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059192","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":302274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","state":"Madre de Dios","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.8623046875,\n              -13.004557745339769\n            ],\n            [\n              -69.60937499999999,\n              -13.346865014577924\n            ],\n            [\n              -70.4443359375,\n              -13.090179355733726\n            ],\n            [\n              -70.83984375,\n              -13.068776734357694\n            ],\n            [\n              -71.12548828125,\n              -13.2399454992863\n            ],\n            [\n              -71.2353515625,\n              -12.940322128384627\n            ],\n            [\n              -71.630859375,\n              -12.661777510388525\n            ],\n            [\n              -71.78466796874999,\n              -12.790374787613588\n            ],\n            [\n              -72.1142578125,\n              -12.44730485070126\n            ],\n            [\n              -71.96044921875,\n              -12.275598890561733\n            ],\n            [\n              -72.158203125,\n              -12.08229583736359\n            ],\n            [\n              -72.421875,\n              -11.73830237143684\n            ],\n            [\n              -72.158203125,\n              -11.005904459659451\n            ],\n            [\n              -71.3671875,\n              -10.919617760254685\n            ],\n            [\n              -71.19140625,\n              -10.552621801948709\n            ],\n            [\n              -70.6201171875,\n              -10.033766870069249\n            ],\n            [\n              -70.6201171875,\n              -10.941191793456534\n            ],\n            [\n              -70.33447265624999,\n              -11.027472194117934\n            ],\n            [\n              -69.9169921875,\n              -10.919617760254685\n            ],\n            [\n              -69.5654296875,\n              -10.962764256386809\n            ],\n            [\n              -68.64257812499999,\n              -12.40438894466978\n            ],\n            [\n              -68.8623046875,\n              -13.004557745339769\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd6529a","contributors":{"authors":[{"text":"Shermeyer, Jacob S. 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":5825,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":556736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haack, Barry N. bhaack@usgs.gov","contributorId":4261,"corporation":false,"usgs":true,"family":"Haack","given":"Barry","email":"bhaack@usgs.gov","middleInitial":"N.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":556737,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70150365,"text":"70150365 - 2015 - Improving estimates of tree mortality probability using potential growth rate","interactions":[],"lastModifiedDate":"2015-06-24T09:58:08","indexId":"70150365","displayToPublicDate":"2015-06-24T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Improving estimates of tree mortality probability using potential growth rate","docAbstract":"<p><span>Tree growth rate is frequently used to estimate mortality probability. Yet, growth metrics can vary in form, and the justification for using one over another is rarely clear. We tested whether a growth index (GI) that scales the realized diameter growth rate against the potential diameter growth rate (PDGR) would give better estimates of mortality probability than other measures. We also tested whether PDGR, being a function of tree size, might better correlate with the baseline mortality probability than direct measurements of size such as diameter or basal area. Using a long-term dataset from the Sierra Nevada, California, U.S.A., as well as existing species-specific estimates of PDGR, we developed growth&ndash;mortality models for four common species. For three of the four species, models that included GI, PDGR, or a combination of GI and PDGR were substantially better than models without them. For the fourth species, the models including GI and PDGR performed roughly as well as a model that included only the diameter growth rate. Our results suggest that using PDGR can improve our ability to estimate tree survival probability. However, in the absence of PDGR estimates, the diameter growth rate was the best empirical predictor of mortality, in contrast to assumptions often made in the literature.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfr-2014-0368","usgsCitation":"Das, A., and Stephenson, N.L., 2015, Improving estimates of tree mortality probability using potential growth rate: Canadian Journal of Forest Research, v. 45, p. 920-928, https://doi.org/10.1139/cjfr-2014-0368.","productDescription":"9 p.","startPage":"920","endPage":"928","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059276","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":302273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada, Sequoia National Park, Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.201416015625,\n              37.302460074782296\n            ],\n            [\n              -120.201416015625,\n              37.99183365313853\n            ],\n            [\n              -119.036865234375,\n              37.99183365313853\n            ],\n            [\n              -119.036865234375,\n              37.302460074782296\n            ],\n            [\n              -120.201416015625,\n              37.302460074782296\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.30603027343749,\n              35.22318504970181\n            ],\n            [\n              -119.30603027343749,\n              36.87522650673951\n            ],\n            [\n              -117.90527343750001,\n              36.87522650673951\n            ],\n            [\n              -117.90527343750001,\n              35.22318504970181\n            ],\n            [\n              -119.30603027343749,\n              35.22318504970181\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b2e4b0b6d21dd65296","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":556738,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70150465,"text":"70150465 - 2015 - Linking dynamic habitat selection with wading bird foraging distributions across resource gradients","interactions":[],"lastModifiedDate":"2015-06-26T09:48:07","indexId":"70150465","displayToPublicDate":"2015-06-24T10:45:00","publicationYear":"2015","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":"Linking dynamic habitat selection with wading bird foraging distributions across resource gradients","docAbstract":"<p>Species distribution models (SDM) link species occurrence with a suite of environmental predictors and provide an estimate of habitat quality when the variable set captures the biological requirements of the species. SDMs are inherently more complex when they include components of a species' ecology such as conspecific attraction and behavioral flexibility to exploit resources that vary across time and space. Wading birds are highly mobile, demonstrate flexible habitat selection, and respond quickly to changes in habitat quality; thus serving as important indicator species for wetland systems. We developed a spatio-temporal, multi-SDM framework using Great Egret (<i>Ardea alba</i>), White Ibis (<i>Eudocimus albus</i>), and Wood Stork (<i>Mycteria Americana</i>) distributions over a decadal gradient of environmental conditions to predict species-specific abundance across space and locations used on the landscape over time. In models of temporal dynamics, species demonstrated conditional preferences for resources based on resource levels linked to differing temporal scales. Wading bird abundance was highest when prey production from optimal periods of inundation was concentrated in shallow depths. Similar responses were observed in models predicting locations used over time, accounting for spatial autocorrelation. Species clustered in response to differing habitat conditions, indicating that social attraction can co-vary with foraging strategy, water-level changes, and habitat quality. This modeling framework can be applied to evaluate the multi-annual resource pulses occurring in real-time, climate change scenarios, or restorative hydrological regimes by tracking changing seasonal and annual distribution and abundance of high quality foraging patches.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0128182","usgsCitation":"Beerens, J.M., Noonberg, E.G., and Gawlik, D.E., 2015, Linking dynamic habitat selection with wading bird foraging distributions across resource gradients: PLoS ONE, v. 10, no. 6, p. 1-25, https://doi.org/10.1371/journal.pone.0128182.","productDescription":"25 p.","startPage":"1","endPage":"25","numberOfPages":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060476","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0128182","text":"Publisher Index Page"},{"id":302361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-24","publicationStatus":"PW","scienceBaseUri":"558e77b8e4b0b6d21dd65963","contributors":{"authors":[{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":556926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noonberg, Erik G.","contributorId":143723,"corporation":false,"usgs":false,"family":"Noonberg","given":"Erik","email":"","middleInitial":"G.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":556927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":556928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148503,"text":"sir20155082 - 2015 - Assessment of statewide annual streamflow in New Mexico, 1985-2013","interactions":[],"lastModifiedDate":"2015-06-24T09:28:08","indexId":"sir20155082","displayToPublicDate":"2015-06-24T10:00:00","publicationYear":"2015","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":"2015-5082","title":"Assessment of statewide annual streamflow in New Mexico, 1985-2013","docAbstract":"<p>In 2014, the New Mexico Water Resources Research Institute began a statewide assessment of the water resources of New Mexico. The U.S. Geological Survey, in cooperation with the New Mexico Water Resources Research Institute, addressed the streamflow component of the assessment by examining streamgage data for major river basins and streams in New Mexico for the study period over water years 1985&ndash;2013 (all references to years in this report are to water years).</p>\n<p>Overall, the total annual inflow to and outflow from New Mexico generally decreased over the study period. The highest annual flows for the Rio Grande occurred in 1985&ndash;87, and except at the Rio Grande below Elephant Butte Dam, N. Mex. (08361000), and Rio Grande at El Paso, Texas (08364000), streamgages, the lowest flows occurred in 2002&ndash;03. Reaches from the Colorado-New Mexico State line southward to Los Alamos, N. Mex. (reaches RG&ndash;1 through RG&ndash;4), were all gaining reaches. Based on mean annual streamflow during the study period, reaches from Los Alamos (reach RG&ndash;5) southward to El Paso (reach RG&ndash;9) were all losing reaches except for the Socorro, N. Mex., reach (reach RG&ndash;7). From 1985 to 1995, annual flows in the Red River generally were above the mean annual streamflow, but after 1995, annual flows were more frequently below the mean annual streamflow. The Rio Hondo, Rio Pueblo de Taos, and Jemez River followed similar annual trends as the Red River, but to a lesser extent, over the study period.</p>\n<p>Over the study period, annual flows in the Rio Chama generally increased downstream, and after 1995, the frequency of above average annual flows decreased, and below average flows became more frequent. The Rio Chama reaches were gaining in most of the years from 1985 to 2013. The Rio Puerco annual flows, at both of the streamgages on this stream, generally decreased after 2000. Reach RP&ndash;1 was a gaining reach for 24 years of the study period.</p>\n<p>In general, Pecos River annual flows decreased substantially from the mean annual streamflow after 2000. The greatest gain on the Pecos River was estimated for the reach below Lake Sumner (reach PEC&ndash;5), which had gains in all 29 years of the study, whereas the reach from Lake Avalon southward to Red Bluff Reservoir (reach PEC&ndash;9) had losses in all 29 years. The highest flows at all streamgages on the Rio Hondo occurred in 1987; high flows there have generally decreased since 1992. Reaches from Ruidoso to below Two Rivers Reservoir, reaches RH&ndash;1 and RH&ndash;2, were losing reaches for 16 years and 28 years, respectively, over the study period.</p>\n<p>The San Juan River for the study period had some of the highest flows of any river in New Mexico, and flow on the river generally increased in the downstream direction. Annual flows at the Animas River streamgages were highly variable but after 1993, generally, tended to decrease. The extended periods of high flows on the Animas River seemed to end in 2000. Over the study period, the reach from the New Mexico border southward to Farmington, N. Mex. (reach ANI&ndash;1), generally was a losing reach except for 1987 and 1997. Annual flows at the La Plata River near Farmington, N. Mex. (09367500), streamgage generally were less than the annual inflow to the State at the La Plata River at Colorado&ndash;New Mexico State line (09366500) streamgage. Over the study period, the reach from the New Mexico border southward to Farmington (reach PLA&ndash;1) generally was a losing reach except for 1986, 1987, and 1993.</p>\n<p>Prior to 1999, annual flows at Canadian River streamgages varied above and below average, but after 1999, annual flows generally were below average. The Canadian River reaches, below the confluence of the Cimarron River (reach CAN&ndash;1) and the Canadian River to Ute Reservoir (reach CAN&ndash;2), display that the upstream reach (reach CAN&ndash;1) was a gaining reach for all 29 water years but that the downstream reach (reach CAN&ndash;2) was a losing reach for all years except 2003. Annual flows for the Cimarron River varied above and below average until 1999 and then generally were below average through 2013. The Cimarron River reach, below Eagle Nest Lake to about halfway to the confluence with the Canadian River (reach CIM&ndash;1), generally was a gaining reach except for 1996, 2002, 2011, and 2013.</p>\n<p>Gila River annual flows varied above and below average until 2005 and thereafter generally were below average. Over the study period, the reach from the Gila River near Gila, N. Mex. (09430500), streamgage to the Gila River below Blue Creek, near Virden, N. Mex. (09432000), streamgage (reach GIL&ndash;1) was a gaining reach for all years except 1990 and 2013, while the reach from the Gila River below Blue Creek, near Virden, N. Mex. (09432000), streamgage to the Gila River near Clifton, Ariz. (09442000), streamgage (reach GIL&ndash;2) was a losing reach for all years with data except 1999.</p>\n<p>The San Francisco River annual flows were relatively high compared to other years in the study in 1985, 1991&ndash;93, 1995, and 2005 but were near or below average for the rest of the years of the study. Both reaches on the San Francisco River were gaining reaches for all 29 years of the study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155082","collaboration":"Prepared in cooperation with the New Mexico Water Resources Research Institute","usgsCitation":"Affinati, J.A., and Myers, N.C., 2015, Assessment of statewide annual streamflow in New Mexico, 1985-2013: U.S. Geological Survey Scientific Investigations Report 2015-5082, Report: vi, 65 p.; 9 Appendixes, https://doi.org/10.3133/sir20155082.","productDescription":"Report: vi, 65 p.; 9 Appendixes","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1984-10-01","ipdsId":"IP-064988","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":302271,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155082.jpg"},{"id":302269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5082/pdf/sir2015-5082.pdf","text":"Report","size":"18.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302270,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5082/downloads/sir2015-5082_apps1-9.xlsx","text":"Appendixes","size":"217 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendixes","linkHelpText":"This is an electronic copy of Appendixes 1–9"},{"id":302265,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5082/"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.05029296875,\n              31.31610138349565\n            ],\n            [\n              -109.061279296875,\n              36.98500309285596\n            ],\n            [\n              -103.0078125,\n              36.99377838872517\n            ],\n            [\n              -103.084716796875,\n              31.99875937194732\n            ],\n            [\n              -106.622314453125,\n              32.01739159980399\n            ],\n            [\n              -106.644287109375,\n              31.868227816180674\n            ],\n            [\n              -106.490478515625,\n              31.756196257571325\n            ],\n            [\n              -108.204345703125,\n              31.793555207271424\n            ],\n            [\n              -108.226318359375,\n              31.325486676506983\n            ],\n            [\n              -109.05029296875,\n              31.31610138349565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6afe4b0b6d21dd6528a","contributors":{"authors":[{"text":"Affinati, Joseph Anthony jaffinati@usgs.gov","contributorId":5994,"corporation":false,"usgs":true,"family":"Affinati","given":"Joseph","email":"jaffinati@usgs.gov","middleInitial":"Anthony","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Nathan C. 0000-0002-7469-3693 nmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-7469-3693","contributorId":1055,"corporation":false,"usgs":true,"family":"Myers","given":"Nathan","email":"nmyers@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556743,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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