{"pageNumber":"1022","pageRowStart":"25525","pageSize":"25","recordCount":165496,"records":[{"id":70178547,"text":"70178547 - 2016 - Development of novel microsatellite markers for the Northern Goshawk (<i>Accipiter gentilis</i>) and their utility in cross-species amplification","interactions":[],"lastModifiedDate":"2018-05-20T18:23:09","indexId":"70178547","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":946,"text":"Avian Biology Research","active":true,"publicationSubtype":{"id":10}},"title":"Development of novel microsatellite markers for the Northern Goshawk (<i>Accipiter gentilis</i>) and their utility in cross-species amplification","docAbstract":"<p><span>The Northern Goshawk (</span><i>Accipiter gentilis</i><span>) is a large forest raptor with a Holarctic distribution and, in some portions of its range, a species of conservation concern. To augment previously reported genetic markers, 13 novel polymorphic microsatellite markers were developed to establish individual identification and familial relationships, to assess levels of genetic diversity, and to identify diagnostic markers. Of the 22 loci tested, 13 were polymorphic, seven were monomorphic, and two failed to amplify. This suite of microsatellite loci yielded a combined probability of parental exclusion of 98%; a single individual sampled from a North American population can be reliably identified using a combination of seven of the 13 polymorphic loci. Cross-species screening in Cooper's Hawks (</span><i>A. cooperii</i><span>) and Sharp-shinned Hawks (</span><i>A. striatus</i><span>) of the 20 loci that successfully amplified in Northern Goshawks identified 13 loci as polymorphic in each species. Six of these loci (Age1303, Age1308, Age1309, Age1312, and Age1314) appeared to be useful in distinguishing between </span><i>Accipiter</i><span> species. These markers will be useful to researchers investigating populations of North American accipiters.</span></p>","language":"English","publisher":"Ingenta","doi":"10.3184/175815516X14667737479433","usgsCitation":"Haughey, C., Sage, G.K., Degange, G., Sonsthagen, S.A., and Talbot, S.L., 2016, Development of novel microsatellite markers for the Northern Goshawk (<i>Accipiter gentilis</i>) and their utility in cross-species amplification: Avian Biology Research, v. 9, no. 3, p. 195-199, https://doi.org/10.3184/175815516X14667737479433.","productDescription":"5 p.","startPage":"195","endPage":"199","ipdsId":"IP-067355","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438518,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U28F8X","text":"USGS data release","linkHelpText":"Genetic Data from Three Accipiter Species, North America, 1996-2014"},{"id":331237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-03","publicationStatus":"PW","scienceBaseUri":"583d5032e4b0d9329c80c59b","contributors":{"authors":[{"text":"Haughey, Christy 0000-0002-4846-6008 chaughey@usgs.gov","orcid":"https://orcid.org/0000-0002-4846-6008","contributorId":204657,"corporation":false,"usgs":false,"family":"Haughey","given":"Christy","email":"chaughey@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":654312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":654313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degange, Gabriel gdegange@usgs.gov","contributorId":177022,"corporation":false,"usgs":true,"family":"Degange","given":"Gabriel","email":"gdegange@usgs.gov","affiliations":[],"preferred":true,"id":654314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":654315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":654316,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178544,"text":"70178544 - 2016 - A suspended dive-net technique for catching territorial divers","interactions":[],"lastModifiedDate":"2016-11-28T11:00:10","indexId":"70178544","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3299,"text":"Ringing and Migration","active":true,"publicationSubtype":{"id":10}},"title":"A suspended dive-net technique for catching territorial divers","docAbstract":"<p><span>A variety of methods such as night-lighting and lift nets have been used to catch divers (Gavidae), although 24-hour daylight in the Arctic summer and the remote nature of field sites can make the use of these traditional methods impossible. Our research required capture of adult divers at remote locations in northern Alaska. Here we describe a suspended dive-net technique that we used to safely capture territorial White-billed </span><i>Gavia adamsii</i><span> and Pacific Divers </span><i>G. pacifica</i><span> and that is lightweight and easy to set up. We also were able to capture divers with chicks, and failed breeders, and suggest that this method could be used to catch other territorial aquatic diving birds, especially other diver species.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03078698.2016.1190615","usgsCitation":"Uher-Koch, B.D., Rizzolo, D., Wright, K., and Schmutz, J.A., 2016, A suspended dive-net technique for catching territorial divers: Ringing and Migration, v. 31, no. 1, p. 19-22, https://doi.org/10.1080/03078698.2016.1190615.","productDescription":"4 p.","startPage":"19","endPage":"22","ipdsId":"IP-065218","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":331239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-13","publicationStatus":"PW","scienceBaseUri":"583d5033e4b0d9329c80c59d","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":654307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rizzolo, Daniel drizzolo@usgs.gov","contributorId":5631,"corporation":false,"usgs":true,"family":"Rizzolo","given":"Daniel","email":"drizzolo@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":654308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Kenneth G.","contributorId":127672,"corporation":false,"usgs":true,"family":"Wright","given":"Kenneth G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":654337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":654309,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178360,"text":"70178360 - 2016 - Environmental drivers of differences in microbial community structure in crude oil reservoirs across a methanogenic gradient","interactions":[],"lastModifiedDate":"2016-11-15T11:53:03","indexId":"70178360","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers of differences in microbial community structure in crude oil reservoirs across a methanogenic gradient","docAbstract":"<p><span>Stimulating </span><i>in situ</i><span> microbial communities in oil reservoirs to produce natural gas is a potentially viable strategy for recovering additional fossil fuel resources following traditional recovery operations. Little is known about what geochemical parameters drive microbial population dynamics in biodegraded, methanogenic oil reservoirs. We investigated if microbial community structure was significantly impacted by the extent of crude oil biodegradation, extent of biogenic methane production, and formation water chemistry. Twenty-two oil production wells from north central Louisiana, USA, were sampled for analysis of microbial community structure and fluid geochemistry. Archaea were the dominant microbial community in the majority of the wells sampled. Methanogens, including hydrogenotrophic and methylotrophic organisms, were numerically dominant in every well, accounting for, on average, over 98% of the total Archaea present. The dominant Bacteria groups were </span><i>Pseudomonas, Acinetobacter</i><span>, Enterobacteriaceae, and Clostridiales, which have also been identified in other microbially-altered oil reservoirs. Comparing microbial community structure to fluid (gas, water, and oil) geochemistry revealed that the relative extent of biodegradation, salinity, and spatial location were the major drivers of microbial diversity. Archaeal relative abundance was independent of the extent of methanogenesis, but closely correlated to the extent of crude oil biodegradation; therefore, microbial community structure is likely not a good sole predictor of methanogenic activity, but may predict the extent of crude oil biodegradation. However, when the shallow, highly biodegraded, low salinity wells were excluded from the statistical analysis, no environmental parameters could explain the differences in microbial community structure. This suggests that the microbial community structure of the 5 shallow, up-dip wells was different than the 17 deeper, down-dip wells. Also, the 17 down-dip wells had statistically similar microbial communities despite significant changes in environmental parameters between oil fields. Together, this implies that no single microbial population is a reliable indicator of a reservoir's ability to degrade crude oil to methane, and that geochemistry may be a more important indicator for selecting a reservoir suitable for microbial enhancement of natural gas generation.</span></p>","language":"English","publisher":"frontiers","doi":"10.3389/fmicb.2016.01535","usgsCitation":"Shelton, J., Akob, D.M., McIntosh, J.C., Fierer, N., Spear, J.R., Warwick, P.D., and McCray, J.E., 2016, Environmental drivers of differences in microbial community structure in crude oil reservoirs across a methanogenic gradient: Frontiers in Microbiology, v. 7, Article 1535; 12 p., https://doi.org/10.3389/fmicb.2016.01535.","productDescription":"Article 1535; 12 p.","ipdsId":"IP-079283","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2016.01535","text":"Publisher Index Page"},{"id":331007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.40737915039062,\n              31.425733532703752\n            ],\n            [\n              -92.40737915039062,\n              31.809895002118832\n            ],\n            [\n              -91.96105957031249,\n              31.809895002118832\n            ],\n            [\n              -91.96105957031249,\n              31.425733532703752\n            ],\n            [\n              -92.40737915039062,\n              31.425733532703752\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-28","publicationStatus":"PW","scienceBaseUri":"582c2ce4e4b0c253be072c02","contributors":{"authors":[{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":653765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":653766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIntosh, Jennifer C.","contributorId":139870,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":13301,"text":"Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":653767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fierer, Noah","contributorId":138711,"corporation":false,"usgs":false,"family":"Fierer","given":"Noah","email":"","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":653768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spear, John R.","contributorId":176847,"corporation":false,"usgs":false,"family":"Spear","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":653769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":653770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCray, John E.","contributorId":169186,"corporation":false,"usgs":false,"family":"McCray","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":653771,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178036,"text":"70178036 - 2016 - Organizing environmental flow frameworks to meet hydropower mitigation needs","interactions":[],"lastModifiedDate":"2016-11-01T13:30:46","indexId":"70178036","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Organizing environmental flow frameworks to meet hydropower mitigation needs","docAbstract":"<p><span>The global recognition of the importance of natural flow regimes to sustain the ecological integrity of river systems has led to increased societal pressure on the hydropower industry to change plant operations to improve downstream aquatic ecosystems. However, a complete reinstatement of natural flow regimes is often unrealistic when balancing water needs for ecosystems, energy production, and other human uses. Thus, stakeholders must identify a prioritized subset of flow prescriptions that meet ecological objectives in light of realistic constraints. Yet, isolating aspects of flow regimes to restore downstream of hydropower facilities is among the greatest challenges of environmental flow science due, in part, to the sheer volume of available environmental flow tools in conjunction with complex negotiation-based regulatory procedures. Herein, we propose an organizational framework that structures information and existing flow paradigms into a staged process that assists stakeholders in implementing environmental flows for hydropower facilities. The framework identifies areas where regulations fall short of the needed scientific process, and provide suggestions for stakeholders to ameliorate those situations through advanced preparation. We highlight the strengths of existing flow paradigms in their application to hydropower settings and suggest when and where tools are most applicable. Our suggested framework increases the effectiveness and efficiency of the e-flow implementation process by rapidly establishing a knowledge base and decreasing uncertainty so more time can be devoted to filling knowledge gaps. Lastly, the framework provides the structure for a coordinated research agenda to further the science of environmental flows related to hydropower environments.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-016-0726-y","usgsCitation":"McManamay, R.A., Brewer, S.K., Jager, H., and Troia, M.J., 2016, Organizing environmental flow frameworks to meet hydropower mitigation needs: Environmental Management, v. 58, no. 3, p. 365-385, https://doi.org/10.1007/s00267-016-0726-y.","productDescription":"21 p.","startPage":"365","endPage":"385","ipdsId":"IP-069487","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470465,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1260072","text":"External Repository"},{"id":330622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-25","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91009","contributors":{"authors":[{"text":"McManamay, Ryan A.","contributorId":176519,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":652580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jager, Henriette","contributorId":167339,"corporation":false,"usgs":false,"family":"Jager","given":"Henriette","affiliations":[{"id":24694,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN","active":true,"usgs":false}],"preferred":false,"id":652648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troia, Matthew J.","contributorId":176520,"corporation":false,"usgs":false,"family":"Troia","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652649,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178568,"text":"70178568 - 2016 - Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events","interactions":[],"lastModifiedDate":"2016-12-01T13:38:14","indexId":"70178568","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events","docAbstract":"<p><span>The U.S. Geological Survey's New Jersey and Iowa Water Science Centers deployed ultraviolet-visible spectrophotometric sensors at water-quality monitoring sites on the Passaic and Pompton Rivers at Two Bridges, New Jersey, on Toms River at Toms River, New Jersey, and on the North Raccoon River near Jefferson, Iowa to continuously measure in-stream nitrate plus nitrite as nitrogen (NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span>) concentrations in conjunction with continuous stream flow measurements. Statistical analysis of NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub> <i>vs</i><span>. stream discharge during storm events found statistically significant links between land use types and sampling site with the normalized area and rotational direction of NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span>-stream discharge (N-Q) hysteresis patterns. Statistically significant relations were also found between the normalized area of a hysteresis pattern and several flow parameters as well as the normalized area adjusted for rotational direction and minimum NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentrations. The mean normalized hysteresis area for forested land use was smaller than that of urban and agricultural land uses. The hysteresis rotational direction of the agricultural land use was opposite of that of the urban and undeveloped land uses. An </span><i>r</i><sup>2</sup><span> of 0.81 for the relation between the minimum normalized NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentration during a storm </span><i>vs</i><span>. the normalized NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentration at peak flow suggested that dilution was the dominant process controlling NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentrations over the course of most storm events.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12477","usgsCitation":"Feinson, L.S., Gibs, J., Imbrigiotta, T., and Garrett, J.D., 2016, Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events: Journal of the American Water Resources Association, v. 52, no. 6, p. 1493-1508, https://doi.org/10.1111/1752-1688.12477.","productDescription":"16 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Center","active":true,"usgs":true}],"preferred":true,"id":654482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibs, Jacob jgibs@usgs.gov","contributorId":1729,"corporation":false,"usgs":true,"family":"Gibs","given":"Jacob","email":"jgibs@usgs.gov","affiliations":[],"preferred":true,"id":654483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":2466,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas E.","email":"timbrig@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrett, Jessica D. 0000-0002-4466-3709 jgarrett@usgs.gov","orcid":"https://orcid.org/0000-0002-4466-3709","contributorId":4229,"corporation":false,"usgs":true,"family":"Garrett","given":"Jessica","email":"jgarrett@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654485,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192862,"text":"70192862 - 2016 - Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa","interactions":[],"lastModifiedDate":"2017-11-08T12:18:59","indexId":"70192862","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa","docAbstract":"<p><span>Fishery managers often use catch per unit effort (CPUE) of a given taxon derived from a group of anglers, those that sought said taxon, to evaluate fishery objectives because managers assume CPUE for this group of anglers is most sensitive to changes in fish taxon density. Further, likelihood of harvest may differ for sought and non-sought taxa if taxon sought is a defining characteristic of anglers’ attitude toward harvest. We predicted that taxon-specific catch across parties and reservoirs would be influenced by targeted taxon after controlling for number of anglers in a party and time spent fishing (combine to quantify fishing effort of party); we also predicted similar trends for taxon-specific harvest. We used creel-survey data collected from anglers that varied in taxon targeted, from generalists (targeting “anything” [no primary target taxa, but rather targeting all fishes]) to target specialists (e.g., anglers targeting largemouth bass&nbsp;</span><i>Micropterus salmoides</i><span>) in 19 Nebraska reservoirs during 2009–2011 to test our predictions. Taxon-specific catch and harvest were, in general, positively related to fishing effort. More importantly, we observed differences of catch and harvest among anglers grouped by taxon targeted for each of the eight taxa assessed. Anglers targeting a specific taxon had the greatest catch for that taxon and anglers targeting anything typically had the second highest catch for that taxon. In addition, anglers tended to catch more of closely related taxa and of taxa commonly targeted with similar fishing techniques. We encourage managers to consider taxon-specific objectives of target and non-target catch and harvest.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2016.05.025","usgsCitation":"Pope, K.L., Chizinski, C.J., Wiley, C.L., and Martin, D., 2016, Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa: Fisheries Research, v. 183, p. 128-137, https://doi.org/10.1016/j.fishres.2016.05.025.","productDescription":"10 p.","startPage":"128","endPage":"137","ipdsId":"IP-054691","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453df","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, Christopher L.","contributorId":200145,"corporation":false,"usgs":false,"family":"Wiley","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178649,"text":"70178649 - 2016 - Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands","interactions":[],"lastModifiedDate":"2017-04-27T10:07:14","indexId":"70178649","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands","docAbstract":"<p><span>The Prairie Pothole Region (PPR) in central North America consists of millions of depressional wetlands that each have considerable potential to emit methane (CH</span><sub>4</sub><span>). Changes in temperature and hydrology in the PPR from climate change may affect methane fluxes from these wetlands. To assess the potential effects of changes in climate on methane emissions, we examined the relationships between flux rates and temperature or water depth using six years of bi-weekly flux measurements during the snow-free period from six temporarily ponded and six permanently ponded wetlands in North Dakota, USA. Methane flux rates were among the highest reported for freshwater wetlands, and had considerable spatial and temporal variation. Methane flux rates increased with increasing temperature and water depth, and were especially high when conditions were warmer </span><i class=\"EmphasisTypeItalic \">and</i><span> wetter than average (163&nbsp;±&nbsp;28&nbsp;mg CH</span><sub>4</sub><span> m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>) compared to warmer </span><i class=\"EmphasisTypeItalic \">and</i><span> drier (37&nbsp;±&nbsp;7&nbsp;mg CH</span><sub>4</sub><span> m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>). Methane emission rates from permanent wetlands were less sensitive to changes in temperature and water depth compared to temporary wetlands, likely due to higher sulfate concentrations in permanent wetlands. While the predicted increase in temperature with climate change will likely increase methane emission rates from PPR wetlands, drier conditions could moderate these increases.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0826-8","usgsCitation":"Bansal, S., Tangen, B., and Finocchiaro, R., 2016, Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands: Wetlands, v. 36, no. s2, p. 371-381, https://doi.org/10.1007/s13157-016-0826-8.","productDescription":"11 p.","startPage":"371","endPage":"381","ipdsId":"IP-073125","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"s2","noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e507392","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finocchiaro, Raymond 0000-0002-5514-8729 rfinocchiaro@usgs.gov","orcid":"https://orcid.org/0000-0002-5514-8729","contributorId":167278,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179744,"text":"70179744 - 2016 - Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations","interactions":[],"lastModifiedDate":"2017-01-17T10:26:02","indexId":"70179744","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5264,"text":"Journal of Natural Gas Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations","docAbstract":"<p><span>An evaluation of the gas production potential of Sunlight Peak gas hydrate accumulation in the eastern portion of the National Petroleum Reserve Alaska (NPRA) of Alaska North Slope (ANS) is conducted using numerical simulations, as part of the U.S. Geological Survey (USGS) gas hydrate Life Cycle Assessment program. A field scale reservoir model for Sunlight Peak is developed using Advanced Processes &amp; Thermal Reservoir Simulator (STARS) that approximates the production design and response of this gas hydrate field. The reservoir characterization is based on available structural maps and the seismic-derived hydrate saturation map of the study region. A 3D reservoir model, with heterogeneous distribution of the reservoir properties (such as porosity, permeability and vertical hydrate saturation), is developed by correlating the data from the Mount Elbert well logs. Production simulations showed that the Sunlight Peak prospect has the potential of producing 1.53&nbsp;×&nbsp;10</span><sup>9</sup><span>&nbsp;ST&nbsp;m</span><sup>3</sup><span> of gas in 30 years by depressurization with a peak production rate of around 19.4&nbsp;×&nbsp;10</span><sup>4</sup><span>&nbsp;ST&nbsp;m</span><sup>3</sup><span>/day through a single horizontal well. To determine the effect of uncertainty in reservoir properties on the gas production, an uncertainty analysis is carried out. It is observed that for the range of data considered, the overall cumulative production from the Sunlight Peak will always be within the range of ±4.6% error from the overall mean value of 1.43&nbsp;×&nbsp;10</span><sup>9</sup><span>&nbsp;ST&nbsp;m</span><sup>3</sup><span>. A sensitivity analysis study showed that the proximity of the reservoir from the base of permafrost and the base of hydrate stability zone (BHSZ) has significant effect on gas production rates. The gas production rates decrease with the increase in the depth of the permafrost and the depth of BHSZ. From the overall analysis of the results it is concluded that Sunlight Peak gas hydrate accumulation behaves differently than other Class III reservoirs (Class III reservoirs are composed of a single layer of hydrate with no underlying zone of mobile fluids) due to its smaller thickness and high angle of dip.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jngse.2016.11.021","usgsCitation":"Nandanwar, M.S., Anderson, B.J., Ajayi, T., Collett, T.S., and Zyrianova, M.V., 2016, Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations: Journal of Natural Gas Science and Engineering, v. 36, no. A, p. 760-772, https://doi.org/10.1016/j.jngse.2016.11.021.","productDescription":"13 p.","startPage":"760","endPage":"772","ipdsId":"IP-079065","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":333231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.86328125,\n              69.38804929116819\n            ],\n            [\n              -154.86328125,\n              70.90226826757711\n            ],\n            [\n              -151.402587890625,\n              70.90226826757711\n            ],\n            [\n              -151.402587890625,\n              69.38804929116819\n            ],\n            [\n              -154.86328125,\n              69.38804929116819\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3c31e4b0d96de2564547","contributors":{"authors":[{"text":"Nandanwar, Manish S.","contributorId":178323,"corporation":false,"usgs":false,"family":"Nandanwar","given":"Manish","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Brian J.","contributorId":147120,"corporation":false,"usgs":false,"family":"Anderson","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":658499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ajayi, Taiwo","contributorId":178324,"corporation":false,"usgs":false,"family":"Ajayi","given":"Taiwo","email":"","affiliations":[],"preferred":false,"id":658500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":658501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zyrianova, Margarita V. 0000-0002-3669-1320 rita@usgs.gov","orcid":"https://orcid.org/0000-0002-3669-1320","contributorId":1203,"corporation":false,"usgs":true,"family":"Zyrianova","given":"Margarita","email":"rita@usgs.gov","middleInitial":"V.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":658497,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178032,"text":"70178032 - 2016 - King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma","interactions":[],"lastModifiedDate":"2016-11-01T13:47:25","indexId":"70178032","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma","language":"English","publisher":"The Waterbird Society","publisherLocation":"Waco, TX","doi":"10.1675/063.039.0303","usgsCitation":"Krementz, D.G., Willard, K.L., Carroll, M., and Dugger, K.M., 2016, King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma: Waterbirds, v. 39, no. 3, p. 241-249, https://doi.org/10.1675/063.039.0303.","productDescription":"9 p.","startPage":"241","endPage":"249","numberOfPages":"9","ipdsId":"IP-069899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.039.0303","text":"Publisher Index Page"},{"id":330626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Studies conducted primarily in southeastern 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M.","contributorId":16137,"corporation":false,"usgs":true,"family":"Carroll","given":"M.","email":"","affiliations":[],"preferred":false,"id":652655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":652656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192728,"text":"70192728 - 2016 - Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest","interactions":[],"lastModifiedDate":"2017-11-08T13:37:40","indexId":"70192728","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest","docAbstract":"<p><span>Wildfire, a dominant disturbance in boreal forests, is highly variable in occurrence and behavior at multiple spatiotemporal scales. New data sets provide more detailed spatial and temporal observations of active fires and the post-burn environment in Alaska. In this study, we employ some of these new data to analyze variations in fire activity by developing three explanatory models to examine the occurrence of (1) seasonal periods of elevated fire activity using the number of MODIS active fire detections data set (MCD14DL) within an 11-day moving window, (2) unburned patches within a burned area using the Monitoring Trends in Burn Severity fire severity product, and (3) short-to-moderate interval (&lt;60&nbsp;yr) fires using areas of burned area overlap in the Alaska Large Fire Database. Explanatory variables for these three models included dynamic variables that can change over the course of the fire season, such as weather and burn date, as well as static variables that remain constant over a fire season, such as topography, drainage, vegetation cover, and fire history. We found that seasonal periods of high fire activity are associated with both seasonal timing and aggregated weather conditions, as well as the landscape composition of areas that are burning. Important static inputs to the model of seasonal fire activity indicate that when fire weather conditions are suitable, areas that typically resist fire (e.g., deciduous stands) may become more vulnerable to burning and therefore less effective as fire breaks. The occurrence of short-to-moderate interval fires appears to be primarily driven by weather conditions, as these were the only relevant explanatory variables in the model. The unique importance of weather in explaining short-to-moderate interval fires implies that fire return intervals (FRIs) will be sensitive to projected climate changes in the region. Unburned patches occur most often in younger stands, which may be related to a greater deciduous fraction of vegetation as well as lower fuel loads compared with mature stands. The fraction of unburned patches may therefore increase in response to decreasing FRIs and increased deciduousness in the region, or these may decrease if fire weather conditions become more severe.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1572","usgsCitation":"Barrett, K., Loboda, T., McGuire, A.D., Genet, H., Hoy, E., and Kasischke, E., 2016, Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest: Ecosphere, v. 7, no. 11, p. 1-21, https://doi.org/10.1002/ecs2.1572.","productDescription":"e01572; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-071622","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1572","text":"Publisher Index Page"},{"id":348461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"7","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-09","publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453e2","contributors":{"authors":[{"text":"Barrett, Kirsten","contributorId":26600,"corporation":false,"usgs":true,"family":"Barrett","given":"Kirsten","affiliations":[],"preferred":false,"id":721265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loboda, Tatiana","contributorId":172797,"corporation":false,"usgs":false,"family":"Loboda","given":"Tatiana","email":"","affiliations":[],"preferred":false,"id":721266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genet, Hélène","contributorId":195179,"corporation":false,"usgs":false,"family":"Genet","given":"Hélène","affiliations":[],"preferred":false,"id":721267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoy, Elizabeth","contributorId":200169,"corporation":false,"usgs":false,"family":"Hoy","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":721268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kasischke, Eric","contributorId":91980,"corporation":false,"usgs":true,"family":"Kasischke","given":"Eric","affiliations":[],"preferred":false,"id":721269,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178990,"text":"70178990 - 2016 - Sagebrush, greater sage-grouse, and the occurrence and importance of forbs","interactions":[],"lastModifiedDate":"2016-12-13T11:24:13","indexId":"70178990","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Sagebrush, greater sage-grouse, and the occurrence and importance of forbs","docAbstract":"<p><span>Big sagebrush (</span><i>Artemisia tridentata</i><span> Nutt.) ecosystems provide habitat for sagebrush-obligate wildlife species such as the Greater Sage-Grouse (</span><i>Centrocercus urophasianus</i><span>). The understory of big sagebrush plant communities is composed of grasses and forbs that are important sources of cover and food for wildlife. The grass component is well described in the literature, but the composition, abundance, and habitat role of forbs in these communities is largely unknown. Our objective was to synthesize information about forbs and their importance to Greater Sage-Grouse diets and habitats, how rangeland management practices affect forbs, and how forbs respond to changes in temperature and precipitation. We also sought to identify research gaps and needs concerning forbs in big sagebrush plant communities. We searched for relevant literature including journal articles and state and federal agency reports. Our results indicated that in the spring and summer, Greater Sage-Grouse diets consist of forbs (particularly species in the Asteraceae family), arthropods, and lesser amounts of sagebrush. The diets transition to sagebrush in fall and winter. Forbs provide cover for Greater Sage-Grouse individuals at their lekking, nesting, and brood-rearing sites, and the species has a positive relationship with arthropod presence. The effect of grazing on native forbs may be compounded by invasion of nonnative species and differs depending on grazing intensity. The effect of fire on forbs varies greatly and may depend on time elapsed since burning. In addition, chemical and mechanical treatments affect annual and perennial forbs differently. Temperature and precipitation influence forb phenology, biomass, and abundance differently among species. Our review identified several uncertainties and research needs about forbs in big sagebrush ecosystems. First, in many cases the literature about forbs is reported only at the genus or functional type level. Second, information about forb composition and abundance near lekking sites is limited, despite the fact that lekking sites are an important center of Greater Sage-Grouse activity. Third, there is little published literature on the relationship between forbs and precipitation and between forbs and temperature, thereby limiting our ability to understand potential responses of forbs to climate change. While there is wide agreement among Greater Sage-Grouse biologists that forbs are an important habitat component, our knowledge about the distribution and environmental responses of forb species in big sagebrush plant communities is limited. Our work for the first time synthesizes the current knowledge regarding forbs in sagebrush ecosystems and their importance for Greater Sage-Grouse and identifies additional research needs for effective conservation and management.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.076.0307","usgsCitation":"Pennington, V.E., Schlaepfer, D., Beck, J., Bradford, J.B., Palmquist, K.A., and Lauenroth, W.K., 2016, Sagebrush, greater sage-grouse, and the occurrence and importance of forbs: Western North American Naturalist, v. 76, no. 3, p. 298-312, https://doi.org/10.3398/064.076.0307.","productDescription":"15 p.","startPage":"298","endPage":"312","ipdsId":"IP-075444","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":332018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585116bbe4b08138bf1abd54","contributors":{"authors":[{"text":"Pennington, Victoria E.","contributorId":138850,"corporation":false,"usgs":false,"family":"Pennington","given":"Victoria","email":"","middleInitial":"E.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":655701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":655702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Jeffrey L.","contributorId":93316,"corporation":false,"usgs":true,"family":"Beck","given":"Jeffrey L.","affiliations":[],"preferred":false,"id":655703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":655704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":655705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":655706,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194308,"text":"70194308 - 2016 - Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States","interactions":[],"lastModifiedDate":"2017-11-22T11:48:40","indexId":"70194308","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States","docAbstract":"<p><span>Climate changes are expected to increase fire frequency, fire season length, and cumulative area burned in the western United States. We focus on the potential impact of mid-21st-century climate changes on annual burn probability, fire season length, and large fire characteristics including number and size for a study area in the Northern Rocky Mountains. Although large fires are rare they account for most of the area burned in western North America, burn under extreme weather conditions, and exhibit behaviors that preclude methods of direct control. Allocation of resources, development of management plans, and assessment of fire effects on ecosystems all require an understanding of when and where fires are likely to burn, particularly under altered climate regimes that may increase large fire occurrence. We used the large fire simulation model FSim to model ignition, growth, and containment of wildfires under two climate scenarios: contemporary (based on instrumental weather) and mid-century (based on an ensemble average of global climate models driven by the A1B SRES emissions scenario). Modeled changes in fire patterns include increased annual burn probability, particularly in areas of the study region with relatively short contemporary fire return intervals; increased individual fire size and annual area burned; and fewer years without large fires. High fire danger days, represented by threshold values of Energy Release Component (ERC), are projected to increase in number, especially in spring and fall, lengthening the climatic fire season. For fire managers, ERC is an indicator of fire intensity potential and fire economics, with higher ERC thresholds often associated with larger, more expensive fires. Longer periods of elevated ERC may significantly increase the cost and complexity of fire management activities, requiring new strategies to maintain desired ecological conditions and limit fire risk. Increased fire activity (within the historical range of frequency and severity, and depending on the extent to which ecosystems are adapted) may maintain or restore ecosystem functionality; however, in areas that are highly departed from historical fire regimes or where there is disequilibrium between climate and vegetation, ecosystems may be rapidly and persistently altered by wildfires, especially those that burn under extreme conditions.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1543","usgsCitation":"Riley, K.L., and Loehman, R.A., 2016, Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States: Ecosphere, v. 7, no. 11, e01543; 19 p., https://doi.org/10.1002/ecs2.1543.","productDescription":"e01543; 19 p.","ipdsId":"IP-076686","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":470467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1543","text":"Publisher Index Page"},{"id":349271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho Panhandle National Forest, Nez Perce-Clearwater National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.04833984375001,\n              45.058001435398275\n            ],\n            [\n              -113.66455078125,\n              45.058001435398275\n            ],\n            [\n              -113.66455078125,\n              48.980216985374994\n            ],\n            [\n              -117.04833984375001,\n              48.980216985374994\n            ],\n            [\n              -117.04833984375001,\n              45.058001435398275\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-08","publicationStatus":"PW","scienceBaseUri":"5a60fc9ce4b06e28e9c24048","contributors":{"authors":[{"text":"Riley, Karin L.","contributorId":169453,"corporation":false,"usgs":false,"family":"Riley","given":"Karin","email":"","middleInitial":"L.","affiliations":[{"id":25512,"text":"US Forest Service Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":723212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":723211,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180259,"text":"70180259 - 2016 - Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete - Part II: Subcellular distribution following sediment exposure","interactions":[],"lastModifiedDate":"2017-01-26T13:25:55","indexId":"70180259","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete - Part II: Subcellular distribution following sediment exposure","docAbstract":"<p><span>The use and likely incidental release of metal nanoparticles (NPs) is steadily increasing. Despite the increasing amount of published literature on metal NP toxicity in the aquatic environment, very little is known about the biological fate of NPs after sediment exposures. Here, we compare the bioavailability and subcellular distribution of copper oxide (CuO) NPs and aqueous Cu (Cu-Aq) in the sediment-dwelling worm </span><i>Lumbriculus variegatus.</i><span> Ten days (d) sediment exposure resulted in marginal Cu bioaccumulation in </span><i>L. variegatus</i><span> for both forms of Cu. Bioaccumulation was detected because isotopically enriched </span><sup>65</sup><span>Cu was used as a tracer. Neither burrowing behavior or survival was affected by the exposure. Once incorporated into tissue, Cu loss was negligible over 10 d of elimination in clean sediment (Cu elimination rate constants were not different from zero). With the exception of day 10, differences in bioaccumulation and subcellular distribution between Cu forms were either not detectable or marginal. After 10 d of exposure to Cu-Aq, the accumulated Cu was primarily partitioned in the subcellular fraction containing metallothionein-like proteins (MTLP, ≈40%) and cellular debris (CD, ≈30%). Cu concentrations in these fractions were significantly higher than in controls. For worms exposed to CuO NPs for 10 d, most of the accumulated Cu was partitioned in the CD fraction (≈40%), which was the only subcellular fraction where the Cu concentration was significantly higher than for the control group. Our results indicate that </span><i>L. variegatus</i><span> handle the two Cu forms differently. However, longer-term exposures are suggested in order to clearly highlight differences in the subcellular distribution of these two Cu forms.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2016.08.011","usgsCitation":"Thit, A., Ramskov, T., Croteau, M.N., and Selck, H., 2016, Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete - Part II: Subcellular distribution following sediment exposure: Aquatic Toxicology, v. 180, p. 25-35, https://doi.org/10.1016/j.aquatox.2016.08.011.","productDescription":"11 p.","startPage":"25","endPage":"35","ipdsId":"IP-072865","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":334060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"180","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588b1977e4b0ad67323f97e4","contributors":{"authors":[{"text":"Thit, Amalie","contributorId":141022,"corporation":false,"usgs":false,"family":"Thit","given":"Amalie","email":"","affiliations":[{"id":13657,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, Denmark","active":true,"usgs":false}],"preferred":false,"id":660968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramskov, Tina","contributorId":140202,"corporation":false,"usgs":false,"family":"Ramskov","given":"Tina","email":"","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":660969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":660967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selck, Henriette","contributorId":28475,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":660970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178721,"text":"70178721 - 2016 - Application of decision science to resilience management in Jamaica Bay","interactions":[],"lastModifiedDate":"2017-03-28T09:02:12","indexId":"70178721","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of decision science to resilience management in Jamaica Bay","docAbstract":"This book highlights the growing interest in management interventions designed to enhance the resilience of the Jamaica Bay socio-ecological system.  Effective management, whether the focus is on managing biological processes or human behavior or (most likely) both, requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections).  In systems characterized by many interacting components and high uncertainty, making probabilistic predictions is often difficult and requires careful thinking not only about system dynamics, but also about how management objectives are specified and the analytic method used to select the preferred action(s).  Developing a clear statement of the problem(s) and articulation of management objectives is often best achieved by including input from managers, scientists and other stakeholders affected by the decision through a process of joint problem framing (Marcot and others 2012; Keeney and others 1990).  Using a deliberate, coherent and transparent framework for deciding among management alternatives to best meet these objectives then ensures a greater likelihood for successful intervention. Decision science provides the theoretical and practical basis for developing this framework and applying decision analysis methods for making complex decisions under uncertainty and risk.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Prospects for resilience: Insights from New York City's Jamaica Bay ","language":"English","publisher":"Island Press","publisherLocation":"Washington, D.C.","usgsCitation":"Eaton, M.J., Fuller, A.K., Johnson, F.A., Hare, M.P., and Stedman, R.C., 2016, Application of decision science to resilience management in Jamaica Bay, chap. <i>of</i> Prospects for resilience: Insights from New York City's Jamaica Bay , p. 217-237.","productDescription":"21 p.","startPage":"217","endPage":"237","ipdsId":"IP-065041","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":335784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338435,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://islandpress.org/book/prospects-for-resilience"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c82ee4b025c46428626e","contributors":{"editors":[{"text":"Sanderson, E.W.","contributorId":6413,"corporation":false,"usgs":true,"family":"Sanderson","given":"E.W.","email":"","affiliations":[],"preferred":false,"id":686468,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Solecki, W. D.","contributorId":189916,"corporation":false,"usgs":false,"family":"Solecki","given":"W.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":686469,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Waldman, J.R.","contributorId":85919,"corporation":false,"usgs":true,"family":"Waldman","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":686470,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Paris, A. S.","contributorId":189917,"corporation":false,"usgs":false,"family":"Paris","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":686471,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":654914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":654915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":654913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, M. P.","contributorId":189915,"corporation":false,"usgs":false,"family":"Hare","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":686467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stedman, Richard C.","contributorId":171461,"corporation":false,"usgs":false,"family":"Stedman","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":654916,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178341,"text":"70178341 - 2016 - Prediction of pesticide toxicity in Midwest streams","interactions":[],"lastModifiedDate":"2018-09-26T12:40:43","indexId":"70178341","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of pesticide toxicity in Midwest streams","docAbstract":"<p><span>The occurrence of pesticide mixtures is common in stream waters of the United States, and the impact of multiple compounds on aquatic organisms is not well understood. Watershed Regressions for Pesticides (WARP) models were developed to predict Pesticide Toxicity Index (PTI) values in unmonitored streams in the Midwest and are referred to as WARP-PTI models. The PTI is a tool for assessing the relative toxicity of pesticide mixtures to fish, benthic invertebrates, and cladocera in stream water. One hundred stream sites in the Midwest were sampled weekly in May through August 2013, and the highest calculated PTI for each site was used as the WARP-PTI model response variable. Watershed characteristics that represent pesticide sources and transport were used as the WARP-PTI model explanatory variables. Three WARP-PTI models—fish, benthic invertebrates, and cladocera—were developed that include watershed characteristics describing toxicity-weighted agricultural use intensity, land use, agricultural management practices, soil properties, precipitation, and hydrologic properties. The models explained between 41 and 48% of the variability in the measured PTI values. WARP-PTI model evaluation with independent data showed reasonable performance with no clear bias. The models were applied to streams in the Midwest to demonstrate extrapolation for a regional assessment to indicate vulnerable streams and to guide more intensive monitoring.</span></p>","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2015.12.0624","usgsCitation":"Shoda, M.E., Stone, W.W., and Nowell, L.H., 2016, Prediction of pesticide toxicity in Midwest streams: Journal of Environmental Quality, v. 45, no. 6, p. 1856-1864, https://doi.org/10.2134/jeq2015.12.0624.","productDescription":"9 p.","startPage":"1856","endPage":"1864","ipdsId":"IP-064521","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":470462,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2015.12.0624","text":"Publisher Index Page"},{"id":330980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Midwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.41552734375,\n              36.65079252503471\n            ],\n            [\n              -98.41552734375,\n              45.336701909968134\n            ],\n            [\n              -81.71630859375,\n              45.336701909968134\n            ],\n            [\n              -81.71630859375,\n              36.65079252503471\n            ],\n            [\n              -98.41552734375,\n              36.65079252503471\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582adb45e4b0c253bdfff0af","contributors":{"authors":[{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":653652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":653654,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185042,"text":"70185042 - 2016 - Land–atmosphere feedbacks amplify aridity increase over land under global warming","interactions":[],"lastModifiedDate":"2017-03-14T11:46:26","indexId":"70185042","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Land–atmosphere feedbacks amplify aridity increase over land under global warming","docAbstract":"<p>The response of the terrestrial water cycle to global warming is central to issues including water resources, agriculture and ecosystem health. Recent studies indicate that aridity, defined in terms of atmospheric supply (precipitation, P) and demand (potential evapotranspiration, Ep) of water at the land surface, will increase globally in a warmer world. Recently proposed mechanisms for this response emphasize the driving role of oceanic warming and associated atmospheric processes. Here we show that the aridity response is substantially amplified by land–atmosphere feedbacks associated with the land surface’s response to climate and CO2 change. Using simulations from the Global Land Atmosphere Coupling Experiment (GLACE)-CMIP5 experiment, we show that global aridity is enhanced by the feedbacks of projected soil moisture decrease on land surface temperature, relative humidity and precipitation. The physiological impact of increasing atmospheric CO2 on vegetation exerts a qualitatively similar control on aridity. We reconcile these findings with previously proposed mechanisms by showing that the moist enthalpy change over land is unaffected by the land hydrological response. Thus, although oceanic warming constrains the combined moisture and temperature changes over land, land hydrology modulates the partitioning of this enthalpy increase towards increased aridity.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"Nature","doi":"10.1038/nclimate3029","usgsCitation":"Berg, A., Findell, K., Lintner, B., Giannini, A., Seneviratne, S.I., van den Hurk, B., Lorenz, R., Pitman, A., Hagemann, S., Meier, A., Cheruy, F., Ducharne, A., Malyshev, S., and Milly, P.C., 2016, Land–atmosphere feedbacks amplify aridity increase over land under global warming: Nature Climate Change, v. 6, p. 869-874, https://doi.org/10.1038/nclimate3029.","productDescription":"6 p.","startPage":"869","endPage":"874","ipdsId":"IP-073108","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470474,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/66112","text":"External Repository"},{"id":337492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-16","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abccb","contributors":{"authors":[{"text":"Berg, Alexis","contributorId":187496,"corporation":false,"usgs":false,"family":"Berg","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":684042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Findell, Kirsten","contributorId":189170,"corporation":false,"usgs":false,"family":"Findell","given":"Kirsten","affiliations":[],"preferred":false,"id":684043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lintner, Benjamin","contributorId":189171,"corporation":false,"usgs":false,"family":"Lintner","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":684044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giannini, Alessandra","contributorId":189172,"corporation":false,"usgs":false,"family":"Giannini","given":"Alessandra","email":"","affiliations":[],"preferred":false,"id":684045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seneviratne, Sonia I.","contributorId":189173,"corporation":false,"usgs":false,"family":"Seneviratne","given":"Sonia","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":684046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van den Hurk, Bart","contributorId":187495,"corporation":false,"usgs":false,"family":"van den Hurk","given":"Bart","email":"","affiliations":[],"preferred":false,"id":684047,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenz, Ruth","contributorId":187491,"corporation":false,"usgs":false,"family":"Lorenz","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":684048,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pitman, Andy","contributorId":189174,"corporation":false,"usgs":false,"family":"Pitman","given":"Andy","email":"","affiliations":[],"preferred":false,"id":684049,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hagemann, Stefan","contributorId":187499,"corporation":false,"usgs":false,"family":"Hagemann","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":684050,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meier, Arndt","contributorId":187500,"corporation":false,"usgs":false,"family":"Meier","given":"Arndt","email":"","affiliations":[],"preferred":false,"id":684051,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cheruy, Frederique","contributorId":189175,"corporation":false,"usgs":false,"family":"Cheruy","given":"Frederique","email":"","affiliations":[],"preferred":false,"id":684052,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ducharne, Agnes","contributorId":189176,"corporation":false,"usgs":false,"family":"Ducharne","given":"Agnes","email":"","affiliations":[],"preferred":false,"id":684053,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Malyshev, Sergey","contributorId":189177,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[],"preferred":false,"id":684054,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Milly, Paul C. D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":684041,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70179083,"text":"70179083 - 2016 - Past and predicted future effects of housing growth on open space conservation opportunity areas and habitat connectivity around National Wildlife Refuges","interactions":[],"lastModifiedDate":"2016-12-15T14:55:16","indexId":"70179083","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Past and predicted future effects of housing growth on open space conservation opportunity areas and habitat connectivity around National Wildlife Refuges","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><h3 class=\"Heading\">Context</h3><p id=\"Par1\" class=\"Para\">Housing growth can alter suitability of matrix habitats around protected areas, strongly affecting movements of organisms and, consequently, threatening connectivity of protected area networks.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><h3 class=\"Heading\">Objectives</h3><p id=\"Par2\" class=\"Para\">Our goal was to quantify distribution and growth of housing around the U.S. Fish and Wildlife Service National Wildlife Refuge System. This is important information for conservation planning, particularly given promotion of habitat connectivity as a climate change adaptation measure.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><h3 class=\"Heading\">Methods</h3><p id=\"Par3\" class=\"Para\">We quantified housing growth from 1940 to 2000 and projected future growth to 2030 within three distances from refuges, identifying very low housing density open space, “opportunity areas” (contiguous areas with &lt;6.17 houses/km<sup>2</sup>), both nationally and by USFWS administrative region. Additionally, we quantified number and area of habitat corridors within these opportunity areas in 2000.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><h3 class=\"Heading\">Results</h3><p id=\"Par4\" class=\"Para\">Our results indicated that the number and area of open space opportunity areas generally decreased with increasing distance from refuges and with the passage of time. Furthermore, total area in habitat corridors was much lower than in opportunity areas. In addition, the number of corridors sometimes exceeded number of opportunity areas as a result of habitat fragmentation, indicating corridors are likely vulnerable to land use change. Finally, regional differences were strong and indicated some refuges may have experienced so much housing growth already that they are effectively too isolated to adapt to climate change, while others may require extensive habitat restoration work.</p></div><div id=\"ASec5\" class=\"AbstractSection\"><h3 class=\"Heading\">Conclusions</h3><p id=\"Par5\" class=\"Para\">Wildlife refuges are increasingly isolated by residential housing development, potentially constraining the movement of wildlife and, therefore, their ability to adapt to a changing climate.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s10980-016-0392-8","usgsCitation":"Hamilton, C.M., Baumann, M., Pidgeon, A.M., Helmers, D., Thogmartin, W.E., Heglund, P., and Radeloff, V., 2016, Past and predicted future effects of housing growth on open space conservation opportunity areas and habitat connectivity around National Wildlife Refuges: Landscape Ecology, v. 31, no. 9, p. 2175-2186, https://doi.org/10.1007/s10980-016-0392-8.","productDescription":"12 p.","startPage":"2175","endPage":"2186","ipdsId":"IP-072816","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-11","publicationStatus":"PW","scienceBaseUri":"5853ba3fe4b0e2663625f2b4","chorus":{"doi":"10.1007/s10980-016-0392-8","url":"http://dx.doi.org/10.1007/s10980-016-0392-8","publisher":"Springer Nature","authors":"Hamilton Christopher M., Baumann Matthias, Pidgeon Anna M., Helmers David P., Thogmartin Wayne E., Heglund Patricia J., Radeloff Volker C.","journalName":"Landscape Ecology","publicationDate":"6/11/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"6/11/2016"},"contributors":{"authors":[{"text":"Hamilton, Christopher M.","contributorId":177495,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baumann, Matthias","contributorId":177496,"corporation":false,"usgs":false,"family":"Baumann","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":655970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pidgeon, Anna M.","contributorId":141123,"corporation":false,"usgs":false,"family":"Pidgeon","given":"Anna","email":"","middleInitial":"M.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":655971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmers, David P.","contributorId":177497,"corporation":false,"usgs":false,"family":"Helmers","given":"David P.","affiliations":[],"preferred":false,"id":655972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":655968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heglund, Patricia J.","contributorId":141128,"corporation":false,"usgs":false,"family":"Heglund","given":"Patricia J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":655973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Radeloff, Volker C.","contributorId":76169,"corporation":false,"usgs":true,"family":"Radeloff","given":"Volker C.","affiliations":[],"preferred":false,"id":655974,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192824,"text":"70192824 - 2016 - Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes","interactions":[],"lastModifiedDate":"2017-10-31T10:59:58","indexId":"70192824","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes","docAbstract":"<p><span>Responses of a dual core shear-wall and outrigger-framed 58-story building recorded during the M</span><sub>w</sub><span>6.0 Napa earthquake of 24 August 2014 and the M</span><sub>w</sub><span>3.8 Berkeley earthquake of 20 October 2011 are used to identify its dynamic characteristics and behavior. Fundamental frequencies are 0.28 Hz (NS), 0.25 Hz (EW), and 0.43 Hz (torsional). Rigid body motions due to rocking are not significant. Average drift ratios are small. Outrigger frames do not affect average drift ratios or mode shapes. Local site effects do not affect the response; however, response associated with deeper structure may be substantial. A beating effect is observed from data of both earthquakes but beating periods are not consistent. Low critical damping ratios may have contributed to the beating effect. Torsion is relatively larger above outriggers as indicated by the time-histories of motions at the roof, possibly due to the discontinuity of the stiffer shear walls above level 47.</span></p>","language":"English","publisher":"EERI","doi":"10.1193/011916EQS018M","usgsCitation":"Çelebi, M., 2016, Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes: Earthquake Spectra, v. 32, no. 4, p. 2449-2471, https://doi.org/10.1193/011916EQS018M.","productDescription":"23 p.","startPage":"2449","endPage":"2471","ipdsId":"IP-070360","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Berkeley, Napa","volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-01","publicationStatus":"PW","scienceBaseUri":"59f98bbae4b0531197afa00c","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717081,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186297,"text":"70186297 - 2016 - Bacterial genomics reveal the complex epidemiology of an emerging pathogen in arctic and boreal ungulates","interactions":[],"lastModifiedDate":"2017-04-04T11:45:04","indexId":"70186297","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Bacterial genomics reveal the complex epidemiology of an emerging pathogen in arctic and boreal ungulates","docAbstract":"<p><span>Northern ecosystems are currently experiencing unprecedented ecological change, largely driven by a rapidly changing climate. Pathogen range expansion, and emergence and altered patterns of infectious disease, are increasingly reported in wildlife at high latitudes. Understanding the causes and consequences of shifting pathogen diversity and host-pathogen interactions in these ecosystems is important for wildlife conservation, and for indigenous populations that depend on wildlife. Among the key questions are whether disease events are associated with endemic or recently introduced pathogens, and whether emerging strains are spreading throughout the region. In this study, we used a phylogenomic approach to address these questions of pathogen endemicity and spread for </span><i>Erysipelothrix rhusiopathiae</i><span>, an opportunistic multi-host bacterial pathogen associated with recent mortalities in arctic and boreal ungulate populations in North America. We isolated </span><i>E. rhusiopathiae</i><span> from carcasses associated with large-scale die-offs of muskoxen in the Canadian Arctic Archipelago, and from contemporaneous mortality events and/or population declines among muskoxen in northwestern Alaska and caribou and moose in western Canada. Bacterial genomic diversity differed markedly among these locations; minimal divergence was present among isolates from muskoxen in the Canadian Arctic, while in caribou and moose populations, strains from highly divergent clades were isolated from the same location, or even from within a single carcass. These results indicate that mortalities among northern ungulates are not associated with a single emerging strain of </span><i>E. rhusiopathiae</i><span>, and that alternate hypotheses need to be explored. Our study illustrates the value and limitations of bacterial genomic data for discriminating between ecological hypotheses of disease emergence, and highlights the importance of studying emerging pathogens within the broader context of environmental and host factors.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmicb.2016.01759","usgsCitation":"Forde, T.L., Orsel, K., Zadoks, R.N., Biek, R., Adams, L., Checkley, S.L., Davison, T., De Buck, J., Dumond, M., Elkin, B.T., Finnegan, L., Macbeth, B.J., Nelson, C., Niptanatiak, A., Sather, S., Schwantje, H.M., van der Meer, F., and Kutz, S.J., 2016, Bacterial genomics reveal the complex epidemiology of an emerging pathogen in arctic and boreal ungulates: Frontiers in Microbiology, v. 7, p. 1-14, https://doi.org/10.3389/fmicb.2016.01759.","productDescription":"Article 1759; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-073288","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2016.01759","text":"Publisher Index Page"},{"id":339125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da67999778f","contributors":{"authors":[{"text":"Forde, Taya L.","contributorId":190364,"corporation":false,"usgs":false,"family":"Forde","given":"Taya","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":688236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orsel, Karin","contributorId":190365,"corporation":false,"usgs":false,"family":"Orsel","given":"Karin","email":"","affiliations":[],"preferred":false,"id":688237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zadoks, Ruth N.","contributorId":190366,"corporation":false,"usgs":false,"family":"Zadoks","given":"Ruth","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":688238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biek, Roman","contributorId":190367,"corporation":false,"usgs":false,"family":"Biek","given":"Roman","email":"","affiliations":[],"preferred":false,"id":688239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":688235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Checkley, Sylvia L.","contributorId":190368,"corporation":false,"usgs":false,"family":"Checkley","given":"Sylvia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":688240,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davison, Tracy","contributorId":190369,"corporation":false,"usgs":false,"family":"Davison","given":"Tracy","email":"","affiliations":[],"preferred":false,"id":688241,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"De Buck, Jeroen","contributorId":190370,"corporation":false,"usgs":false,"family":"De Buck","given":"Jeroen","email":"","affiliations":[],"preferred":false,"id":688242,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dumond, Mathieu","contributorId":190371,"corporation":false,"usgs":false,"family":"Dumond","given":"Mathieu","email":"","affiliations":[],"preferred":false,"id":688243,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elkin, Brett T.","contributorId":190372,"corporation":false,"usgs":false,"family":"Elkin","given":"Brett","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":688244,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Finnegan, Laura","contributorId":190373,"corporation":false,"usgs":false,"family":"Finnegan","given":"Laura","email":"","affiliations":[],"preferred":false,"id":688245,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Macbeth, Bryan J.","contributorId":190374,"corporation":false,"usgs":false,"family":"Macbeth","given":"Bryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688246,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nelson, Cait","contributorId":190375,"corporation":false,"usgs":false,"family":"Nelson","given":"Cait","email":"","affiliations":[],"preferred":false,"id":688247,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Niptanatiak, Amanda","contributorId":190376,"corporation":false,"usgs":false,"family":"Niptanatiak","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":688248,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sather, Shane","contributorId":190377,"corporation":false,"usgs":false,"family":"Sather","given":"Shane","email":"","affiliations":[],"preferred":false,"id":688249,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schwantje, Helen M.","contributorId":190378,"corporation":false,"usgs":false,"family":"Schwantje","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":688250,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"van der Meer, Frank","contributorId":190379,"corporation":false,"usgs":false,"family":"van der Meer","given":"Frank","email":"","affiliations":[],"preferred":false,"id":688251,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Kutz, Susan J.","contributorId":190345,"corporation":false,"usgs":false,"family":"Kutz","given":"Susan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688252,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70176031,"text":"70176031 - 2016 - The precision problem in conservation and restoration","interactions":[],"lastModifiedDate":"2016-12-09T14:50:31","indexId":"70176031","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The precision problem in conservation and restoration","docAbstract":"<p><span>Within the varied contexts of environmental policy, conservation of imperilled species populations, and restoration of damaged habitats, an emphasis on idealized optimal conditions has led to increasingly specific targets for management. Overly-precise conservation targets can reduce habitat variability at multiple scales, with unintended consequences for future ecological resilience. We describe this dilemma in the context of endangered species management, stream restoration, and climate-change adaptation. Inappropriate application of conservation targets can be expensive, with marginal conservation benefit. Reduced habitat variability can limit options for managers trying to balance competing objectives with limited resources. Conservation policies should embrace habitat variability, expand decision-space appropriately, and support adaptation to local circumstances to increase ecological resilience in a rapidly changing world.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2016.08.001","usgsCitation":"Hiers, J.K., Jackson, S.T., Hobbs, R.J., Bernhardt, E., and Valentine, L.E., 2016, The precision problem in conservation and restoration: Trends in Ecology and Evolution, v. 31, no. 11, p. 820-830, https://doi.org/10.1016/j.tree.2016.08.001.","productDescription":"11 p.","startPage":"820","endPage":"830","ipdsId":"IP-068562","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":470468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tree.2016.08.001","text":"Publisher Index Page"},{"id":331814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dce4b077fc20250e00","contributors":{"authors":[{"text":"Hiers, J. Kevin","contributorId":173986,"corporation":false,"usgs":false,"family":"Hiers","given":"J.","email":"","middleInitial":"Kevin","affiliations":[{"id":27330,"text":"University of the South; Sewanee, TN","active":true,"usgs":false}],"preferred":false,"id":646826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":646825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, Richard J.","contributorId":175282,"corporation":false,"usgs":false,"family":"Hobbs","given":"Richard","email":"","middleInitial":"J.","affiliations":[{"id":27556,"text":"University of Western Australia, Crawley, WA","active":true,"usgs":false}],"preferred":false,"id":646828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernhardt, Emily S.","contributorId":92143,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily S.","affiliations":[{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":646827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valentine, Leonie E.","contributorId":173989,"corporation":false,"usgs":false,"family":"Valentine","given":"Leonie","email":"","middleInitial":"E.","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":646829,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175944,"text":"70175944 - 2016 - Space use of a dominant Arctic vertebrate: Effects of prey, sea ice, and land on Pacific walrus resource selection","interactions":[],"lastModifiedDate":"2018-06-16T17:47:11","indexId":"70175944","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Space use of a dominant Arctic vertebrate: Effects of prey, sea ice, and land on Pacific walrus resource selection","docAbstract":"<p><span>Sea ice dominates marine ecosystems in the Arctic, and recent reductions in sea ice may alter food webs throughout the region. Sea ice loss may also stress Pacific walruses (</span><i>Odobenus rosmarus divergens</i><span>), which feed on benthic macroinvertebrates in the Bering and Chukchi seas. However, no studies have examined the effects of sea ice on foraging Pacific walrus space use patterns. We tested a series of hypotheses that examined walrus foraging resource selection as a function of proximity to resting substrates and prey biomass. We quantified walrus prey biomass with 17 benthic invertebrate families, which included bivalves, polychaetes, amphipods, tunicates, and sipunculids. We included covariates for distance to sea ice and distance to land, and systematically developed a series of candidate models to examine interactions among benthic prey biomass and resting substrates. We ranked candidate models with Bayesian Information Criterion and made inferences on walrus resource selection based on the top-ranked model. Based on the top model, biomass of the bivalve family Tellinidae, distance to ice, distance to land, and the interaction of distances to ice and land all positively influenced walrus foraging resource selection. Standardized model coefficients indicated that distance to ice explained the most variation in walrus foraging resource selection followed by Tellinidae biomass. Distance to land and the interaction of distances to ice and land accounted for similar levels of variation. Tellinidae biomass likely represented an index of overall bivalve biomass, indicating walruses focused foraging in areas with elevated levels of bivalve and tellinid biomass. Our results also emphasize the importance of sea ice to walruses. Projected sea ice loss will increase the duration of the open water season in the Chukchi Sea, altering the spatial distribution of resting sites relative to current foraging areas and possibly affecting the spatial structure of benthic communities.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.08.035","usgsCitation":"Beatty, W.S., Jay, C.V., Fischbach, A.S., Grebmeier, J.M., Taylor, R.L., Blanchard, A.L., and Jewett, S.C., 2016, Space use of a dominant Arctic vertebrate: Effects of prey, sea ice, and land on Pacific walrus resource selection: Biological Conservation, v. 203, p. 25-32, https://doi.org/10.1016/j.biocon.2016.08.035.","productDescription":"8 p.","startPage":"25","endPage":"32","ipdsId":"IP-076003","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470455,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2016.08.035","text":"Publisher Index Page"},{"id":438517,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78G8HTX","text":"USGS data release","linkHelpText":"Walrus used and available resource units for northeast Chukchi Sea, 2008-2012"},{"id":331815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chukchi Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.533203125,\n              71.38514208411495\n            ],\n            [\n              -166.904296875,\n              65.96437717203096\n            ],\n            [\n              -177.18749999999997,\n              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cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":646627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":646628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grebmeier, Jacqueline M.","contributorId":48815,"corporation":false,"usgs":false,"family":"Grebmeier","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":646629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":646630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blanchard, Arny L.","contributorId":173948,"corporation":false,"usgs":false,"family":"Blanchard","given":"Arny","email":"","middleInitial":"L.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":646631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jewett, Stephen C.","contributorId":94397,"corporation":false,"usgs":true,"family":"Jewett","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":646632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70184429,"text":"70184429 - 2016 - A brackish diatom, <i>Pseudofrustulia lancea gen. et sp. nov.</i> (Bacillariophyceae), from the Pacific coast of Oregon (USA)","interactions":[],"lastModifiedDate":"2017-03-09T11:59:36","indexId":"70184429","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3081,"text":"Phytotaxa","active":true,"publicationSubtype":{"id":10}},"title":"A brackish diatom, <i>Pseudofrustulia lancea gen. et sp. nov.</i> (Bacillariophyceae), from the Pacific coast of Oregon (USA)","docAbstract":"<p><span>Light and electron microscope observations show that a brackish diatom taxon should be classified as a new species of a new genus; </span><i>Pseudofrustulia lancea gen</i><span>.</span><i> et sp</i><span>.</span><i> nov</i><span>. We propose separating </span><i>Pseudofrustulia</i><span> from other similar genera such as </span><i>Frickea</i><span>,</span><i> Frustulia</i><span>, </span><i>Amphipleura</i><span>, </span><i>Muelleria</i><span>, and </span><i>Envekadea </i><span>on the basis of its thickened axial ribs, raphe endings, axial costae, morphology of helictoglossa, size of striae on valve surfaces, and areolae on the inner side between its axial ribs and raphe. Girdle bands may be another diagnostic feature for the separation of </span><i>Pseudofrustulia</i><span> from related taxa, but more detailed observations using SEM images are required to determine if bands are diagnostic.</span></p>","language":"English","publisher":"Magnolia Press","doi":"10.11646/phytotaxa.267.2.2","usgsCitation":"Sawai, Y., Nagumo, T., and Nelson, A.R., 2016, A brackish diatom, <i>Pseudofrustulia lancea gen. et sp. nov.</i> (Bacillariophyceae), from the Pacific coast of Oregon (USA): Phytotaxa, v. 267, no. 2, p. 103-112, https://doi.org/10.11646/phytotaxa.267.2.2.","productDescription":"11 p.","startPage":"103","endPage":"112","ipdsId":"IP-076563","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/phytotaxa.267.2.2","text":"Publisher Index Page"},{"id":337176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"267","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-04","publicationStatus":"PW","scienceBaseUri":"58c277d9e4b014cc3a3e76b5","contributors":{"authors":[{"text":"Sawai, Yuki","contributorId":127509,"corporation":false,"usgs":false,"family":"Sawai","given":"Yuki","email":"","affiliations":[{"id":6981,"text":"National Institute of Advanced Industrial Science and Technology, AIST, Japan","active":true,"usgs":false}],"preferred":false,"id":681456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagumo, Tamotsu","contributorId":187713,"corporation":false,"usgs":false,"family":"Nagumo","given":"Tamotsu","email":"","affiliations":[],"preferred":false,"id":681457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":681458,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182778,"text":"70182778 - 2016 - Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia","interactions":[],"lastModifiedDate":"2017-05-31T16:05:26","indexId":"70182778","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia","docAbstract":"<p><span>A number of studies have reported the presence of wheat septoria leaf blotch (</span><i>Septoria tritici</i><span>; SLB) disease in Ethiopia. However, the environmental factors associated with SLB disease, and areas under risk of SLB disease, have not been studied. Here, we tested the hypothesis that environmental variables can adequately explain observed SLB disease severity levels in West Shewa, Central Ethiopia. Specifically, we identified 50 environmental variables and assessed their relationships with SLB disease severity. Geographically referenced disease severity data were obtained from the field, and linear regression and Boosted Regression Trees (BRT) modeling approaches were used for developing spatial models. Moderate-resolution imaging spectroradiometer (MODIS) derived vegetation indices and land surface temperature (LST) variables highly influenced SLB model predictions. Soil and topographic variables did not sufficiently explain observed SLB disease severity variation in this study. Our results show that wheat growing areas in Central Ethiopia, including highly productive districts, are at risk of SLB disease. The study demonstrates the integration of field data with modeling approaches such as BRT for predicting the spatial patterns of severity of a pathogenic wheat disease in Central Ethiopia. Our results can aid Ethiopia's wheat disease monitoring efforts, while our methods can be replicated for testing related hypotheses elsewhere.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.ecoinf.2016.09.003","usgsCitation":"Wakie, T., Kumar, S., Senay, G., Takele, A., and Lencho, A., 2016, Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia: Ecological Informatics, v. 36, p. 15-30, https://doi.org/10.1016/j.ecoinf.2016.09.003.","productDescription":"16 p.","startPage":"15","endPage":"30","ipdsId":"IP-079364","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2016.09.003","text":"Publisher Index Page"},{"id":336745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baf5","chorus":{"doi":"10.1016/j.ecoinf.2016.09.003","url":"http://dx.doi.org/10.1016/j.ecoinf.2016.09.003","publisher":"Elsevier BV","authors":"Wakie Tewodros T., Kumar Sunil, Senay Gabriel B., Takele Abera, Lencho Alemu","journalName":"Ecological Informatics","publicationDate":"11/2016"},"contributors":{"authors":[{"text":"Wakie, Tewodros","contributorId":138730,"corporation":false,"usgs":false,"family":"Wakie","given":"Tewodros","email":"","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":680410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Sunil","contributorId":84992,"corporation":false,"usgs":true,"family":"Kumar","given":"Sunil","affiliations":[],"preferred":false,"id":680411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":673717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takele, Abera","contributorId":187439,"corporation":false,"usgs":false,"family":"Takele","given":"Abera","email":"","affiliations":[],"preferred":false,"id":680412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lencho, Alemu","contributorId":187440,"corporation":false,"usgs":false,"family":"Lencho","given":"Alemu","email":"","affiliations":[],"preferred":false,"id":680413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185054,"text":"70185054 - 2016 - Western Lake Erie Basin: Soft-data-constrained, NHDPlus resolution watershed modeling and exploration of applicable conservation scenarios","interactions":[],"lastModifiedDate":"2017-03-13T15:11:54","indexId":"70185054","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Western Lake Erie Basin: Soft-data-constrained, NHDPlus resolution watershed modeling and exploration of applicable conservation scenarios","docAbstract":"<p><span>Complex watershed simulation models are powerful tools that can help scientists and policy-makers address challenging topics, such as land use management and water security. In the Western Lake Erie Basin (WLEB), complex hydrological models have been applied at various scales to help describe relationships between land use and water, nutrient, and sediment dynamics. This manuscript evaluated the capacity of the current Soil and Water Assessment Tool (SWAT2012) to predict hydrological and water quality processes within WLEB at the finest resolution watershed boundary unit (NHDPlus) along with the current conditions and conservation scenarios. The process based SWAT model was capable of the fine-scale computation and complex routing used in this project, as indicated by measured data at five gaging stations. The level of detail required for fine-scale spatial simulation made the use of both hard and soft data necessary in model calibration, alongside other model adaptations. Limitations to the model's predictive capacity were due to a paucity of data in the region at the NHDPlus scale rather than due to SWAT functionality. Results of treatment scenarios demonstrate variable effects of structural practices and nutrient management on sediment and nutrient loss dynamics. Targeting treatment to acres with critical outstanding conservation needs provides the largest return on investment in terms of nutrient loss reduction per dollar spent, relative to treating acres with lower inherent nutrient loss vulnerabilities. Importantly, this research raises considerations about use of models to guide land management decisions at very fine spatial scales. Decision makers using these results should be aware of data limitations that hinder fine-scale model interpretation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.06.202","usgsCitation":"Yen, H., White, M.J., Arnold, J.G., Keitzer, S.C., Johnson, M.V., Atwood, J.D., Daggupati, P., Herbert, M.E., Sowa, S.P., Ludsin, S.A., Robertson, D.M., Srinivasan, R., and Rewa, C.A., 2016, Western Lake Erie Basin: Soft-data-constrained, NHDPlus resolution watershed modeling and exploration of applicable conservation scenarios: Science of the Total Environment, v. 569-570, p. 1265-1281, https://doi.org/10.1016/j.scitotenv.2016.06.202.","productDescription":"17 p.","startPage":"1265","endPage":"1281","ipdsId":"IP-075988","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":470472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.06.202","text":"Publisher Index Page"},{"id":337455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie Basin","volume":"569-570","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e8c","contributors":{"authors":[{"text":"Yen, Haw 0000-0002-5509-8792","orcid":"https://orcid.org/0000-0002-5509-8792","contributorId":169564,"corporation":false,"usgs":false,"family":"Yen","given":"Haw","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":684085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Michael J.","contributorId":172348,"corporation":false,"usgs":false,"family":"White","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, Jeffrey G.","contributorId":172345,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":684097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keitzer, S. 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