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,{"id":70159967,"text":"70159967 - 2015 - Predicting the resilience and recovery of aquatic systems: a framework for model evolution within environmental observatories","interactions":[],"lastModifiedDate":"2015-12-04T14:47:17","indexId":"70159967","displayToPublicDate":"2015-09-02T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the resilience and recovery of aquatic systems: a framework for model evolution within environmental observatories","docAbstract":"<p>Maintaining the health of aquatic systems is an essential component of sustainable catchmentmanagement, however, degradation of water quality and aquatic habitat continues to challenge scientistsand policy-makers. 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Given the scale and transdisciplinarynature of the prediction challenge, network science initiatives are identified as a means to develop and inte-grate diverse model libraries and workflows, and to obtain consensus on diagnostic approaches to modelassessment that can guide model adaptation. We outline how such a framework can help us explore thetheory of how aquatic systems respond to change by bridging bottom-up and top-down lines of enquiry,and, in doing so, also advance the role of prediction in aquatic ecosystem management.</p>","language":"English","publisher":"Wiley","doi":"10.1002/2015WR017175","usgsCitation":"Hipsey, M., Hamilton, D., Hanson, P.C., Carey, C.C., Coletti, J.Z., Read, J.S., Ibelings, B.W., Valensini, F.J., and Brookes, J.D., 2015, Predicting the resilience and recovery of aquatic systems: a framework for model evolution within environmental observatories: Water Resources Research, v. 51, no. 9, p. 7023-7043, https://doi.org/10.1002/2015WR017175.","productDescription":"21 p.","startPage":"7023","endPage":"7043","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063945","costCenters":[],"links":[{"id":471816,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017175","text":"Publisher Index Page"},{"id":311939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"5662c758e4b06a3ea36c67c7","contributors":{"authors":[{"text":"Hipsey, Matthew R.","contributorId":80968,"corporation":false,"usgs":true,"family":"Hipsey","given":"Matthew R.","affiliations":[],"preferred":false,"id":581334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamilton, David P.","contributorId":18633,"corporation":false,"usgs":true,"family":"Hamilton","given":"David P.","affiliations":[],"preferred":false,"id":581335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":581336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":581337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coletti, Janaine Z","contributorId":150282,"corporation":false,"usgs":false,"family":"Coletti","given":"Janaine","email":"","middleInitial":"Z","affiliations":[{"id":17958,"text":"Aquatic Ecodynamics, School of Earth and Environment, The University of Western Australia, Perth, Australia","active":true,"usgs":false}],"preferred":false,"id":581338,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":581339,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ibelings, Bas W","contributorId":130973,"corporation":false,"usgs":false,"family":"Ibelings","given":"Bas","email":"","middleInitial":"W","affiliations":[{"id":7189,"text":"Institut F.A. 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,{"id":70156006,"text":"fs20153054 - 2015 - Assessment of undiscovered oil and gas resources in the Cherokee Platform Province area of Kansas, Oklahoma, and Missouri, 2015","interactions":[],"lastModifiedDate":"2018-02-15T15:00:31","indexId":"fs20153054","displayToPublicDate":"2015-09-01T15:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3054","title":"Assessment of undiscovered oil and gas resources in the Cherokee Platform Province area of Kansas, Oklahoma, and Missouri, 2015","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean volumes of undiscovered, technically recoverable resources of 463&nbsp;million barrels of oil, 11.2 trillion cubic feet of gas, and 35 million barrels of natural gas liquids in the Cherokee Platform Province area of Kansas, Oklahoma, and Missouri.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153054","collaboration":"Prepared in cooperation with National and Global Petroleum Assessment Project","usgsCitation":"Drake, R.M., II, Hatch, J.R., Schenk, C.J., Charpentier, R.R., Klett, T.R., Phuong, A.L., Leathers, H.M., Brownfield, M.E., Gaswirth, S.B., Marra, K.R., Pitman, J.K., Potter, C.J., Tennyson, M.E., 2015,  Assessment of undiscovered oil and gas resources in the Cherokee Platform Province area of Kansas, Oklahoma, and Missouri, 2015:  U.S. Geological Survey Fact Sheet 2015-3054, 2 p., https://dx.doi.org/10.3133/fs20153054.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065431","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":438686,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PC30FK","text":"USGS data release","linkHelpText":"USGS National Assessment of Oil and Gas Project - Cherokee Platform Province Assessment Units"},{"id":307665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3054/fs20153054.pdf","text":"Report","size":"860 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3054"},{"id":307664,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3054/coverthb.jpg"}],"country":"United States","state":"Kansas, Oklahoma, Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.36035156249999,\n              33.99802726234877\n            ],\n            [\n              -99.36035156249999,\n              39.01064750994083\n            ],\n            [\n              -92.21923828124999,\n              39.01064750994083\n            ],\n            [\n              -92.21923828124999,\n              33.99802726234877\n            ],\n            [\n              -99.36035156249999,\n              33.99802726234877\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Central Energy Resources Science Center<br /> U.S. Geological Survey<br /> Box 25046, MS-939<br /> Denver Federal Center<br /> Denver, CO 80225-0046<br /><a href=\"http://energy.usgs.gov/\">http://energy.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Introduction</li>\n<li>Total Petroleum Systems</li>\n<li>Assessment Units</li>\n<li>Resource Summary</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-09-01","noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"560ba829e4b058f706e53a44","contributors":{"authors":[{"text":"Drake, Ronald M. 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M.","email":"hleathers@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":567637,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":567638,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":140068,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":567639,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":567640,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":567641,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":567642,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":141186,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":567643,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70157525,"text":"70157525 - 2015 - Avoidance of unconventional oil wells and roads exacerbates habitat loss for grassland birds in the North American great plains","interactions":[],"lastModifiedDate":"2017-08-31T14:33:56","indexId":"70157525","displayToPublicDate":"2015-09-01T13:00:00","publicationYear":"2015","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":"Avoidance of unconventional oil wells and roads exacerbates habitat loss for grassland birds in the North American great plains","docAbstract":"<p><span>Oil development in the Bakken shale region has increased rapidly as a result of new technologies and strong demand for fossil fuel. This region also supports a particularly high density and diversity of grassland bird species, which are declining across North America. We examined grassland bird response to unconventional oil extraction sites (i.e. developed with hydraulic fracturing and horizontal drilling techniques) and associated roads in North Dakota. Our goal was to quantify the amount of habitat that was indirectly degraded by oil development, as evidenced by patterns of avoidance by birds. Grassland birds avoided areas within 150&nbsp;m of roads (95% CI: 87&ndash;214&nbsp;m), 267&nbsp;m of single-bore well pads (95% CI: 157&ndash;378&nbsp;m), and 150&nbsp;m of multi-bore well pads (95% CI: 67&ndash;233&nbsp;m). Individual species demonstrated variable tolerance of well pads. Clay-colored sparrows (</span><i>Spizella pallida</i><span>) were tolerant of oil-related infrastructure, whereas Sprague's pipit (</span><i>Anthus spragueii</i><span>) avoided areas within 350&nbsp;m (95% CI: 215&ndash;485&nbsp;m) of single-bore well pads. Given these density patterns around oil wells, the potential footprint of any individual oil well, and oil development across the region, is greatly multiplied for sensitive species. Efforts to reduce new road construction, concentrate wells along developed corridors, combine numerous wells on multi-bore pads rather than build many single-bore wells, and to place well pads near existing roads will serve to minimize loss of suitable habitat for birds. Quantifying environmental degradation caused by oil development is a critical step in understanding how to better mitigate harm to wildlife populations.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2015.08.040","usgsCitation":"Thompson, S.J., Johnson, D.H., Nieumuth, N., and Ribic, C., 2015, Avoidance of unconventional oil wells and roads exacerbates habitat loss for grassland birds in the North American great plains: Biological Conservation, v. 192, p. 82-90, https://doi.org/10.1016/j.biocon.2015.08.040.","productDescription":"9 p.","startPage":"82","endPage":"90","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061836","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":309375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560d07ace4b058f706e542f8","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":573445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":573446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nieumuth, Neal","contributorId":147951,"corporation":false,"usgs":false,"family":"Nieumuth","given":"Neal","email":"","affiliations":[{"id":16966,"text":"USFWS, HAPET Bismarck, ND","active":true,"usgs":false}],"preferred":false,"id":573447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":573448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159317,"text":"70159317 - 2015 - Does natural variation in diversity affect biotic resistance?","interactions":[],"lastModifiedDate":"2022-08-01T13:56:29.275714","indexId":"70159317","displayToPublicDate":"2015-09-01T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Does natural variation in diversity affect biotic resistance?","docAbstract":"<h1>Notice</h1><p><strong>This publication has been retracted. See the <a data-mce-href=\"https://doi.org/10.1111/1365-2745.12678\" href=\"https://doi.org/10.1111/1365-2745.12678\">retraction notice</a>.</strong></p>","language":"English","publisher":"British Ecological Society","publisherLocation":"Cambridge","doi":"10.1111/1365-2745.12439","usgsCitation":"Harrison, S., Cornell, H., and Grace, J.B., 2015, Does natural variation in diversity affect biotic resistance?: Journal of Ecology, v. 103, no. 5, p. 1099-1106, https://doi.org/10.1111/1365-2745.12439.","productDescription":"8 p.","startPage":"1099","endPage":"1106","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059408","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":471817,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12439","text":"Publisher Index Page"},{"id":310290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-14","publicationStatus":"PW","scienceBaseUri":"5628b72fe4b0d158f5926c14","contributors":{"authors":[{"text":"Harrison, Susan","contributorId":85707,"corporation":false,"usgs":true,"family":"Harrison","given":"Susan","affiliations":[],"preferred":false,"id":577998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornell, Howard","contributorId":149333,"corporation":false,"usgs":false,"family":"Cornell","given":"Howard","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":577999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":577997,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70157226,"text":"70157226 - 2015 - Effects of flooding on ion exchange rates in an Upper Mississippi River floodplain forest impacted by herbivory, invasion, and restoration","interactions":[],"lastModifiedDate":"2015-09-16T11:38:54","indexId":"70157226","displayToPublicDate":"2015-09-01T12:45:00","publicationYear":"2015","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":"Effects of flooding on ion exchange rates in an Upper Mississippi River floodplain forest impacted by herbivory, invasion, and restoration","docAbstract":"<p><span>We examined effects of flooding on supply rates of 14 nutrients in floodplain areas invaded by&nbsp;</span><i class=\"EmphasisTypeItalic \">Phalaris arundinacea</i><span>&nbsp;(reed canarygrass), areas restored to young successional forests (browsed by white-tailed deer and unbrowsed), and remnant mature forests in the Upper Mississippi River floodplain. Plant Root Simulator ion-exchange probes were deployed for four separate 28-day periods. The first deployment occurred during flooded conditions, while the three subsequent deployments were conducted during progressively drier periods. Time after flooding corresponded with increases in NO</span><span>3</span><span>&nbsp;</span><span>&minus;</span><span>-N, K</span><span>+</span><span>&nbsp;and Zn</span><span>+2</span><span>, decreases in H</span><span>2</span><span>PO</span><span>4</span><span>&nbsp;</span><span>&minus;</span><span>-P, Fe</span><span>+3</span><span>, Mn</span><span>+2</span><span>, and B(OH)</span><span>4</span><span>-B, a decrease followed by an increase in NH</span><span>4</span><span>&nbsp;</span><span>+</span><span>-N, Ca</span><span>+2</span><span>, Mg</span><span>+2</span><span>&nbsp;and Al</span><span>+3</span><span>, and an increase followed by a decrease for SO</span><span>4</span><span>&nbsp;</span><span>&minus;2</span><span>-S. Plant community type had weak to no effects on nutrient supply rates compared to the stronger effects of flooding duration. Our results suggest that seasonal dynamics in floodplain nutrient availability are similarly driven by flood pulses in different community types. However, reed canarygrass invasion has potential to increase availability of some nutrients, while restoration of forest cover may promote recovery of nutrient availability to that observed in reference mature forests.</span></p>","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"McClean, VA","doi":"10.1007/s13157-015-0675-x","collaboration":"University of Wisconsin-La Crosse","usgsCitation":"Kreiling, R., De Jager, N.R., Swanson, W., Eric A. Strauss, and Meredith Thomsen, 2015, Effects of flooding on ion exchange rates in an Upper Mississippi River floodplain forest impacted by herbivory, invasion, and restoration: Wetlands, v. 35, no. 5, p. 1005-1012, https://doi.org/10.1007/s13157-015-0675-x.","productDescription":"8 p.","startPage":"1005","endPage":"1012","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063008","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":308202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-04","publicationStatus":"PW","scienceBaseUri":"55fa92b7e4b05d6c4e501a7e","contributors":{"authors":[{"text":"Kreiling, Rebecca 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":147679,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":572311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":572312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Whitney","contributorId":147680,"corporation":false,"usgs":false,"family":"Swanson","given":"Whitney","email":"","affiliations":[{"id":16896,"text":"Biology Department and River Studies Center, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":572313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eric A. Strauss","contributorId":147681,"corporation":false,"usgs":false,"family":"Eric A. Strauss","affiliations":[{"id":16896,"text":"Biology Department and River Studies Center, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":572314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meredith Thomsen","contributorId":147682,"corporation":false,"usgs":false,"family":"Meredith Thomsen","affiliations":[{"id":16896,"text":"Biology Department and River Studies Center, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":572315,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157231,"text":"70157231 - 2015 - Climate change and physical disturbance cause similar community shifts in biological soil crusts","interactions":[],"lastModifiedDate":"2015-10-05T16:04:25","indexId":"70157231","displayToPublicDate":"2015-09-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and physical disturbance cause similar community shifts in biological soil crusts","docAbstract":"<p>Biological soil crusts (biocrusts)&mdash;communities of mosses, lichens, cyanobacteria, and heterotrophs living at the soil surface&mdash;are fundamental components of drylands worldwide, and destruction of biocrusts dramatically alters biogeochemical processes, hydrology, surface energy balance, and vegetation cover. While there has been long-standing concern over impacts of 5 physical disturbances on biocrusts (e.g., trampling by livestock, damage from vehicles), there is also increasing concern over the potential for climate change to alter biocrust community structure. Using long-term data from the Colorado Plateau, USA, we examined the effects of 10 years of experimental warming and altered precipitation (in full-factorial design) on biocrust communities, and compared the effects of altered climate with those of long-term physical 10 disturbance (&gt;10 years of replicated human trampling). Surprisingly, altered climate and physical disturbance treatments had similar effects on biocrust community structure. Warming, altered precipitation frequency [an increase of small (1.2 mm) summer rainfall events], and physical disturbance from trampling all promoted early successional community states marked by dramatic declines in moss cover and increased cyanobacteria cover, with more variable effects 15 on lichens. While the pace of community change varied significantly among treatments, our results suggest that multiple aspects of climate change will affect biocrusts to the same degree as physical disturbance. This is particularly disconcerting in the context of warming, as temperatures for drylands are projected to increase beyond those imposed by the climate treatments used in our study.</p>","language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1509150112","usgsCitation":"Ferrenberg, S., Reed, S.C., and Belnap, J., 2015, Climate change and physical disturbance cause similar community shifts in biological soil crusts: PNAS, v. 112, no. 39, p. 12116-12121, https://doi.org/10.1073/pnas.1509150112.","productDescription":"6 p.","startPage":"12116","endPage":"12121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066539","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471818,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1509150112","text":"External Repository"},{"id":308199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"39","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"55fa92b1e4b05d6c4e501a60","contributors":{"authors":[{"text":"Ferrenberg, Scott 0000-0002-3542-0334 sferrenberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3542-0334","contributorId":147684,"corporation":false,"usgs":true,"family":"Ferrenberg","given":"Scott","email":"sferrenberg@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156700,"text":"70156700 - 2015 - Successful mitigation of viral disease based on a delayed exposure rearing strategy at a large-scale steelhead trout conservation hatchery","interactions":[],"lastModifiedDate":"2020-06-23T20:23:11.38055","indexId":"70156700","displayToPublicDate":"2015-09-01T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Successful mitigation of viral disease based on a delayed exposure rearing strategy at a large-scale steelhead trout conservation hatchery","docAbstract":"<p><span>In 2009, the largest steelhead trout conservation&nbsp;hatchery&nbsp;in the state of Idaho, Dworshak National Fish Hatchery (NFH), lost over 50% of the juvenile steelhead trout (</span><span><i>Oncorhynchus mykiss</i></span><span>) population being reared for release. The causative agent of this high mortality was the viral pathogen&nbsp;infectious hematopoietic necrosis virus&nbsp;(IHNV). This was neither the first nor the worst epidemic of IHNV to occur at the hatchery, but it was the worst in over a decade. Genetic analysis of IHNV isolates taken from juveniles suffering epidemic IHN disease in 2009 revealed that the virus was of the M group of IHNV viruses, known to have high virulence for trout. The water supply for steelhead trout rearing at Dworshak NFH is untreated water taken directly from the Clearwater River. Further genetic analysis of IHNV isolates from adults spawned in 2009 indicated that adult steelhead trout in the river (in the hatchery water supply) were the most probable transmission source for the epidemic IHN disease in the juvenile fish. Previously, Dworshak NFH had been able to gain access to&nbsp;reservoir water&nbsp;from behind the Dworshak Dam for nursery&nbsp;egg incubation&nbsp;and the earliest stage of fry rearing, which nearly eliminated incidence of IHN disease in that stage of rearing. Additionally, the nearby Clearwater State Fish Hatchery (SFH), which operates entirely with reservoir water, has never had a case of IHN disease in juvenile steelhead trout. Therefore, staff at Dworshak NFH sought and obtained access to a limited supply of reservoir water for the first few months of outdoor rearing of juvenile steelhead trout, beginning in 2010. This strategy delayed the exposure of juvenile steelhead trout to river water for several months. The effects of this program change were: drastic reduction in IHN disease in juvenile steelhead trout; interruption in the transmission of highly virulent M group IHNV from adult steelhead trout; no interruption in the transmission of low virulent U group IHNV from adult Chinook salmon; and a shift of IHNV types in adult fish spawned at Dworshak NFH in subsequent years from M to U group viruses. While juvenile steelhead trout may still be infected via exposure to IHNV in river water, the disruption of virulent M group IHNV has been successful in dramatically reducing IHN disease in steelhead trout every year since 2010.</span></p>","language":"English","publisher":"Elsevier Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.aquaculture.2015.07.014","usgsCitation":"Breyta, R., Samson, C., Blair, M., Black, A., and Kurath, G., 2015, Successful mitigation of viral disease based on a delayed exposure rearing strategy at a large-scale steelhead trout conservation hatchery: Aquaculture, v. 450, p. 213-224, https://doi.org/10.1016/j.aquaculture.2015.07.014.","productDescription":"12 p.","startPage":"213","endPage":"224","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066419","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":471819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquaculture.2015.07.014","text":"Publisher Index Page"},{"id":307831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Clearwater River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.00439453125,\n              45.93587062119052\n            ],\n            [\n              -114.884033203125,\n              45.93587062119052\n            ],\n            [\n              -114.884033203125,\n              47.67278567576541\n            ],\n            [\n              -117.00439453125,\n              47.67278567576541\n            ],\n            [\n              -117.00439453125,\n              45.93587062119052\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"450","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba84be4b058f706e53ac0","chorus":{"doi":"10.1016/j.aquaculture.2015.07.014","url":"http://dx.doi.org/10.1016/j.aquaculture.2015.07.014","publisher":"Elsevier BV","authors":"Breyta Rachel, Samson Corie, Blair Marilyn, Black Allison, Kurath Gael","journalName":"Aquaculture","publicationDate":"1/2016"},"contributors":{"authors":[{"text":"Breyta, R.","contributorId":92949,"corporation":false,"usgs":true,"family":"Breyta","given":"R.","email":"","affiliations":[],"preferred":false,"id":570135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samson, Corie","contributorId":147060,"corporation":false,"usgs":false,"family":"Samson","given":"Corie","email":"","affiliations":[{"id":16781,"text":"U.S. Fish and Wildlife Service, Idaho Fish Health Center, Orofino, ID","active":true,"usgs":false}],"preferred":false,"id":570136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blair, Marilyn","contributorId":44388,"corporation":false,"usgs":true,"family":"Blair","given":"Marilyn","affiliations":[],"preferred":false,"id":570137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Allison","contributorId":147061,"corporation":false,"usgs":false,"family":"Black","given":"Allison","email":"","affiliations":[{"id":16782,"text":"Institute for Public Health Genetics, UW, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":570138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":570139,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157377,"text":"70157377 - 2015 - Landscape-scale distribution and density of raptor populations wintering in anthropogenic-dominated desert landscapes","interactions":[],"lastModifiedDate":"2017-11-24T18:08:55","indexId":"70157377","displayToPublicDate":"2015-09-01T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale distribution and density of raptor populations wintering in anthropogenic-dominated desert landscapes","docAbstract":"<p><span>Anthropogenic development has great potential to affect fragile desert environments. Large-scale development of renewable energy infrastructure is planned for many desert ecosystems. Development plans should account for anthropogenic effects to distributions and abundance of rare or sensitive wildlife; however, baseline data on abundance and distribution of such wildlife are often lacking. We surveyed for predatory birds in the Sonoran and Mojave Deserts of southern California, USA, in an area designated for protection under the &ldquo;Desert Renewable Energy Conservation Plan&rdquo;, to determine how these birds are distributed across the landscape and how this distribution is affected by existing development. We developed species-specific models of resight probability to adjust estimates of abundance and density of each individual common species. Second, we developed combined-species models of resight probability for common and rare species so that we could make use of sparse data on the latter. We determined that many common species, such as red-tailed hawks, loggerhead shrikes, and especially common ravens, are associated with human development and likely subsidized by human activity. Species-specific and combined-species models of resight probability performed similarly, although the former model type provided higher quality information. Comparing abundance estimates with past surveys in the Mojave Desert suggests numbers of predatory birds associated with human development have increased while other sensitive species not associated with development have decreased. This approach gave us information beyond what we would have collected by focusing either on common or rare species, thus it provides a low-cost framework for others conducting surveys in similar desert environments outside of California.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10531-015-0916-6","usgsCitation":"Duerr, A.E., Miller, T., Cornell Duerr, K.L., Lanzone, M.J., Fesnock-Parker, A., and Katzner, T., 2015, Landscape-scale distribution and density of raptor populations wintering in anthropogenic-dominated desert landscapes: Biodiversity and Conservation, v. 24, no. 10, p. 2365-2381, https://doi.org/10.1007/s10531-015-0916-6.","productDescription":"17 p.","startPage":"2365","endPage":"2381","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061915","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":308435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert, Sonoran Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.63037109375,\n              37.97884504049713\n            ],\n            [\n              -114.6533203125,\n              35.04798673426734\n            ],\n            [\n              -114.60937499999999,\n              34.867904962568744\n            ],\n            [\n              -114.45556640625,\n              34.687427949314845\n            ],\n            [\n              -114.345703125,\n              34.452218472826566\n            ],\n            [\n      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L","contributorId":147850,"corporation":false,"usgs":false,"family":"Cornell Duerr","given":"Kerri","email":"","middleInitial":"L","affiliations":[{"id":16946,"text":"Westminster College","active":true,"usgs":false}],"preferred":false,"id":572917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanzone, Michael J.","contributorId":147851,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":572918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fesnock-Parker, Amy","contributorId":140129,"corporation":false,"usgs":false,"family":"Fesnock-Parker","given":"Amy","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":572919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 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,{"id":70157110,"text":"70157110 - 2015 - Trends in pesticide concentrations and use for major rivers of the United States","interactions":[],"lastModifiedDate":"2017-10-12T20:02:17","indexId":"70157110","displayToPublicDate":"2015-09-01T12:00:00","publicationYear":"2015","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":"Trends in pesticide concentrations and use for major rivers of the United States","docAbstract":"<p id=\"sp0005\">Trends in pesticide concentrations in 38 major rivers of the United States were evaluated in relation to use trends for 11 commonly occurring pesticide compounds. Pesticides monitored in water were analyzed for trends in concentration in three overlapping periods, 1992&ndash;2001, 1997&ndash;2006, and 2001&ndash;2010 to facilitate comparisons among sites with variable sample distributions over time and among pesticides with changes in use during different periods and durations. Concentration trends were analyzed using the SEAWAVE-Q model, which incorporates intra-annual variability in concentration and measures of long-term, mid-term, and short-term streamflow variability. Trends in agricultural use within each of the river basins were determined using interval-censored regression with high and low estimates of use.</p>\n<p id=\"sp0010\">Pesticides strongly dominated by agricultural use (cyanazine, alachlor, atrazine and its degradate deethylatrazine, metolachlor, and carbofuran) had widespread agreement between concentration trends and use trends. Pesticides with substantial use in both agricultural and nonagricultural applications (simazine, chlorpyrifos, malathion, diazinon, and carbaryl) had concentration trends that were mostly explained by a combination of agricultural-use trends, regulatory changes, and urban use changes inferred from concentration trends in urban streams. When there were differences, concentration trends usually were greater than use trends (increased more or decreased less). These differences may occur because of such factors as unaccounted pesticide uses, delayed transport to the river through groundwater, greater uncertainty in the use data, or unquantified land use and management practice changes.</p>","language":"English","publisher":"Elsevier Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2015.06.095","usgsCitation":"Ryberg, K.R., and Gilliom, R.J., 2015, Trends in pesticide concentrations and use for major rivers of the United States: Science of the Total Environment, v. 538, p. 431-444, https://doi.org/10.1016/j.scitotenv.2015.06.095.","productDescription":"14 p.","startPage":"431","endPage":"444","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059356","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":307996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"538","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15834e4b0dacf699eb987","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":571688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":571689,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156879,"text":"70156879 - 2015 - Stock-specific advection of larval walleye (<i>Sander vitreus</i>) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination","interactions":[],"lastModifiedDate":"2017-08-15T12:43:17","indexId":"70156879","displayToPublicDate":"2015-09-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Stock-specific advection of larval walleye (<i>Sander vitreus</i>) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination","docAbstract":"<p><span>Physical processes can generate spatiotemporal heterogeneity in habitat quality for fish and also influence the overlap of pre-recruit individuals (e.g., larvae) with high-quality habitat through hydrodynamic advection. In turn, individuals from different stocks that are produced in different spawning locations or at different times may experience dissimilar habitat conditions, which can underlie within- and among-stock variability in larval growth and survival. While such physically-mediated variation has been shown to be important in driving intra- and inter-annual patterns in recruitment in marine ecosystems, its role in governing larval advection, growth, survival, and recruitment has received less attention in large lake ecosystems such as the Laurentian Great Lakes. Herein, we used a hydrodynamic model linked to a larval walleye (</span><i>Sander vitreus</i><span>) individual-based model to explore how the timing and location of larval walleye emergence from several spawning sites in western Lake Erie (Maumee, Sandusky, and Detroit rivers; Ohio reef complex) can influence advection pathways and mixing among these local spawning populations (stocks), and how spatiotemporal variation in thermal habitat can influence stock-specific larval growth. While basin-wide advection patterns were fairly similar during 2011 and 2012, smaller scale advection patterns and the degree of stock mixing varied both within and between years. Additionally, differences in larval growth were evident among stocks and among cohorts within stocks which were attributed to spatiotemporal differences in water temperature. Using these findings, we discuss the value of linked physical&ndash;biological models for understanding the recruitment process and addressing fisheries management problems in the world's Great Lakes.</span></p>","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2015.04.008","usgsCitation":"Fraker, M.E., Anderson, E., May, C.J., Chen, K., Davis, J.J., DeVanna, K.M., DuFour, M., Marschall, E.A., Mayer, C.M., Miner, J.G., Pangle, K.L., Pritt, J., Roseman, E., Tyson, J.T., Zhao, Y., and Ludsin, S.A., 2015, Stock-specific advection of larval walleye (<i>Sander vitreus</i>) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination: Journal of Great Lakes Research, v. 41, no. 3, p. 830-845, https://doi.org/10.1016/j.jglr.2015.04.008.","productDescription":"16 p.","startPage":"830","endPage":"845","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066933","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":307818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba84ae4b058f706e53abc","contributors":{"authors":[{"text":"Fraker, Michael E. 0000-0002-1813-706X","orcid":"https://orcid.org/0000-0002-1813-706X","contributorId":150962,"corporation":false,"usgs":false,"family":"Fraker","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":570938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Eric J.","contributorId":89434,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric J.","affiliations":[],"preferred":false,"id":570939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Cassandra J.","contributorId":150961,"corporation":false,"usgs":false,"family":"May","given":"Cassandra","email":"","middleInitial":"J.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":570940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Kuan-Yu","contributorId":140818,"corporation":false,"usgs":false,"family":"Chen","given":"Kuan-Yu","email":"","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":570941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Jeremiah J.","contributorId":150963,"corporation":false,"usgs":false,"family":"Davis","given":"Jeremiah","email":"","middleInitial":"J.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":570942,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeVanna, Kristen M.","contributorId":64991,"corporation":false,"usgs":true,"family":"DeVanna","given":"Kristen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuFour, Mark R.","contributorId":36451,"corporation":false,"usgs":true,"family":"DuFour","given":"Mark R.","affiliations":[],"preferred":false,"id":570944,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marschall, Elizabeth A.","contributorId":41388,"corporation":false,"usgs":true,"family":"Marschall","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570945,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570946,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miner, Jeffery G.","contributorId":150965,"corporation":false,"usgs":false,"family":"Miner","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":570947,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pangle, Kevin 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T.","contributorId":104433,"corporation":false,"usgs":true,"family":"Tyson","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570950,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zhao, Yingming","contributorId":49752,"corporation":false,"usgs":true,"family":"Zhao","given":"Yingming","affiliations":[],"preferred":false,"id":570951,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ludsin, Stuart A","contributorId":120607,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":570952,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70158591,"text":"70158591 - 2015 - Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome","interactions":[],"lastModifiedDate":"2018-01-04T15:39:04","indexId":"70158591","displayToPublicDate":"2015-09-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome","docAbstract":"<p><span>White-nose syndrome (WNS) was first detected in North American bats in New York in 2006. Since that time WNS has spread throughout the northeastern United States, southeastern Canada, and southwest across Pennsylvania and as far west as Missouri. Suspect WNS cases have been identified in Minnesota and Iowa, and the causative agent of WNS (</span><i>Pseudogymnoascus destructans</i><span>) has recently been detected in Mississippi. The impact of WNS is devastating for little brown bats (</span><i>Myotis lucifugus</i><span>), causing up to 100% mortality in some overwintering populations, and previous research has forecast the extirpation of the species due to the disease. Recent evidence indicates that remnant populations may persist in areas where WNS is endemic. We developed a spatially explicit model of little brown bat population dynamics to investigate the potential for populations to recover under alternative scenarios. We used these models to investigate how starting population sizes, potential changes in the number of bats overwintering successfully in hibernacula, and potential changes in demographic rates of the population post WNS may influence the ability of the bats to recover to former levels of abundance. We found that populations of the little brown bat and other species that are highly susceptible to WNS are unlikely to return to pre-WNS levels in the near future under any of the scenarios we examined.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2015.07.016","usgsCitation":"Russell, R., Thogmartin, W.E., Erickson, R.A., Szymanski, J.A., and Tinsley, K., 2015, Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome: Ecological Modelling, v. 314, p. 111-117, https://doi.org/10.1016/j.ecolmodel.2015.07.016.","productDescription":"7 p.","startPage":"111","endPage":"117","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":309365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"314","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560d07b5e4b058f706e54306","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":10269,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[],"preferred":false,"id":576214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":576215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":576216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szymanski, Jennifer A.","contributorId":51593,"corporation":false,"usgs":true,"family":"Szymanski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":576217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tinsley, Karl","contributorId":23457,"corporation":false,"usgs":false,"family":"Tinsley","given":"Karl","email":"","affiliations":[{"id":6969,"text":"U.S. Fish and Wildlife Service, Division of Endangered Species","active":true,"usgs":false}],"preferred":false,"id":576218,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156240,"text":"ofr20151156 - 2015 - Water withdrawals in Florida, 2012","interactions":[],"lastModifiedDate":"2015-09-01T09:01:14","indexId":"ofr20151156","displayToPublicDate":"2015-09-01T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1156","title":"Water withdrawals in Florida, 2012","docAbstract":"<p>In 2012, the total amount of water withdrawn in Florida was estimated to be 14,237 million gallons per day (Mgal/d). Saline water accounted for 7,855 Mgal/d (55 percent), and freshwater accounted for 6,383 Mgal/d (45 percent). Groundwater accounted for 4,167 Mgal/d (65 percent) of freshwater withdrawals, and surface water accounted for the remaining 2,216 Mgal/d (35 percent). Surface water accounted for nearly all (99.9 percent) saline-water withdrawals. Freshwater withdrawals were greatest in Palm Beach County (682 Mgal/d), and saline-water withdrawals were greatest in Pasco County (1,822 Mgal/d). Fresh groundwater provided drinking water (through either public supply or private domestic wells) for 17.699 million residents (93 percent of Florida&rsquo;s population), and fresh surface water provided drinking water for 1.375 million residents (7 percent). The statewide public-supply gross per capita water use for 2012 was estimated at 136 gallons per day.</p>\n<p>Overall, agricultural self-supplied accounted for 39 percent of the total freshwater withdrawals (groundwater and surface water), followed by public supply (36 percent). Public supply accounted for 49 percent of groundwater withdrawals, followed by agricultural self-supplied (34 percent), commercial-industrial-mining self-supplied (7 percent), recreational-landscape irrigation and domestic self-supplied (5 percent each), and power generation (less than 1 percent). Agricultural self-supplied accounted for 50 percent of fresh surface-water withdrawals, followed by power generation (26 percent), public supply (11 percent), recreational-landscape irrigation (9 percent), and commercial-industrial-mining self-supplied (4 percent). Power generation accounted for nearly all (99.8 percent) saline-water withdrawals.</p>\n<p>The largest percentage of freshwater withdrawals was from the South Florida Water Management District (46 percent), followed by the St. Johns River Water Management District (20 percent), Southwest Florida Water Management District (19 percent), Northwest Florida Water Management District (9 percent), and Suwannee River Water Management District (6 percent). The South Florida Water Management District accounted for the largest percentage of freshwater withdrawals for public-supply use (46 percent), commercial-industrial-mining self-supplied use (24 percent), agricultural self-supplied use (59 percent), and recreational-landscape irrigation use (63 percent). The Northwest Florida Water Management District accounted for the largest percentage of freshwater withdrawals for power-generation use (44 percent), and the Southwest Florida Water Management District accounted for the largest percentage of saline-water withdrawals for power-generation use (58 percent).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151156","collaboration":"Prepared in cooperation with the Florida Department of Environmental Protection","usgsCitation":"Marella, R.L., 2015, Water withdrawals in Florida, 2012:  U.S. Geological Survey Open-File Report 2015–1156, 10 p.,  https://dx.doi.org/10.3133/ofr20151156.","productDescription":"10 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 \"}}]}","contact":"<p>Director, Caribbean-Florida Water Science Center<br /> U.S. Geological Survey <br /> 12703 Research Parkway<br /> Orlando, FL 32826<br /> <a href=\"http://fl.water.usgs.gov\">http://fl.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Total Water Withdrawals</li>\n<li>Acknowledgments</li>\n<li>Selected References</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-09-01","noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"560ba84ee4b058f706e53ad8","contributors":{"authors":[{"text":"Marella, Richard L. 0000-0003-4861-9841 rmarella@usgs.gov","orcid":"https://orcid.org/0000-0003-4861-9841","contributorId":2443,"corporation":false,"usgs":true,"family":"Marella","given":"Richard","email":"rmarella@usgs.gov","middleInitial":"L.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":568168,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156468,"text":"ofr20151147 - 2015 - Photomosaics and event evidence from the Frazier Mountain paleoseismic site, trench 1, cuts 5–24, San Andreas Fault Zone, southern California (2010–2012)","interactions":[],"lastModifiedDate":"2015-09-01T11:59:53","indexId":"ofr20151147","displayToPublicDate":"2015-09-01T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1147","title":"Photomosaics and event evidence from the Frazier Mountain paleoseismic site, trench 1, cuts 5–24, San Andreas Fault Zone, southern California (2010–2012)","docAbstract":"<p>The Frazier Mountain paleoseismic site is located within the northern Big Bend of the southern San Andreas Fault (lat 34.8122&deg; N., lon 118.9034&deg; W.), in a small structural basin formed by the fault (fig. 1). The site has been the focus of over a decade of paleoseismic study due to high stratigraphic resolution and abundant dateable material. Trench 1 (T1) was initially excavated as a 50-m long, fault-perpendicular trench crossing the northern half of the basin (Lindvall and others, 2002; Scharer and others, 2014a). Owing to the importance of a high-resolution trench site at this location on a 200-km length of the fault with no other long paleoseismic records, later work progressively lengthened and deepened T1 in a series of excavations, or cuts, that enlarged the original excavation. Scharer and others (2014a) provide the photomosaics and event evidence for the first four cuts, which largely show the upper section of the site, represented by alluvial deposits that date from about A.D. 1500 to present. Scharer and others (2014b) discuss the earthquake evidence and dating at the site within the context of prehistoric rupture lengths and magnitudes on the southern San Andreas Fault. Here we present the photomosaics and event evidence for a series of cuts from the lower section, covering sediments that were deposited from about A.D. 500 to 1500 (fig. 2).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151147","usgsCitation":"Scharer, K.M., Fumal, T.E., Weldon, R.J., II, Streig, A.R., 2015, Photomosaics and event evidence from the Frazier Mountain paleoseismic site, trench 1, cuts 5–24, San Andreas Fault Zone, southern California (2010–2012): U.S. Geological Survey Open-File Report 2015–1147, 25 p., 3 sheets, https://dx.doi.org/10.3133/ofr20151147.","productDescription":"Pamphlet: iii, 28 p.; 6 Sheets: 36.0 x 38.9 inches or smaller","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-065601","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":307515,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet2lg.pdf","text":"Sheet 2 print optimized","size":"76.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 2 print version"},{"id":307517,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet1.pdf","text":"Sheet 1 screen optimized","size":"7.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 1 screen version"},{"id":307513,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet1lg.pdf","text":"Sheet 1 print optimized","size":"62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 1 print version"},{"id":307516,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet3lg.pdf","text":"Sheet 3 print optimized","size":"71.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 3 print version"},{"id":307519,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet3.pdf","text":"Sheet 3 screen optimized","size":"10.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 3 screen version"},{"id":307518,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet2.pdf","text":"Sheet 2 screen optimized","size":"5.6 Mb","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 2 screen version"},{"id":307215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1147/coverthb.gif"},{"id":307216,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_pamphlet.pdf","text":"Pamphlet","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Pamphlet to accompany map sheets"}],"country":"United States","state":"California","otherGeospatial":"Frazier Mountain, San Andreas Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,34.0 ], [ -120.0,36.0 ], [ -118.0,36.0 ], [ -118.0,34.0 ], [ -120.0,34.0 ] ] ] } } ] }","contact":"<p>Earthquake Science Center&mdash;<a href=\"http://earthquake.usgs.gov/contactus/menlo/\">Menlo Park, Calif. Office</a><br />U.S. Geological Survey<br />345 Middlefield Road, MS 977<br />Menlo Park, CA 94025 <a href=\"http://earthquake.usgs.gov/\">http://earthquake.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Introduction</li>\n<li>Trenching Methodology</li>\n<li>Site Structure and Stratigraphy</li>\n<li>Event Evidence</li>\n<li>Acknowledgments</li>\n<li>References</li>\n<li>Appendix</li>\n<li>Figures (5)</li>\n<li>Tables (2)</li>\n</ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-08-24","noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"560ba844e4b058f706e53aa1","contributors":{"authors":[{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":569256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fumal, Tom E.","contributorId":73090,"corporation":false,"usgs":true,"family":"Fumal","given":"Tom","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":569257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weldon, Ray J. II","contributorId":47859,"corporation":false,"usgs":true,"family":"Weldon","given":"Ray","suffix":"II","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":569258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Streig, Ashley R.","contributorId":103569,"corporation":false,"usgs":true,"family":"Streig","given":"Ashley","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":569259,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223724,"text":"70223724 - 2015 - Wintering Bald Eagle count trends in the conterminous United States, 1986–2010","interactions":[],"lastModifiedDate":"2021-09-03T13:06:43.613522","indexId":"70223724","displayToPublicDate":"2015-09-01T07:59:20","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Wintering Bald Eagle count trends in the conterminous United States, 1986–2010","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">We analyzed counts from the annual Midwinter Bald Eagle Survey to examine state, regional, and national trends in counts of wintering Bald Eagles (<i>Haliaeetus leucocephalus</i>) within the conterminous 48 United States from 1986 to 2010. Using hierarchical mixed model methods, we report trends in counts from 11 729 surveys along 844 routes in 44 states. Nationwide Bald Eagle counts increased 0.6% per yr over the 25-yr period, compared to an estimate of 1.9% per yr from 1986 to 2000. Trend estimates for Bald Eagles were significant (<i>P</i><span>&nbsp;</span>≤ 0.05) and positive in the northeastern and northwestern U.S. (3.9% and 1.1%, respectively), while trend estimates for Bald Eagles were negative (<i>P</i><span>&nbsp;</span>≤ 0.05) in the southwestern U.S. (−2.2%). After accounting for potential biases resulting from temporal and regional differences in surveys, we believe trends reflect post-DDT recovery and subsequent early effects of density-dependent population regulation.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-14-86.1","usgsCitation":"Eakle, W., Bond, L.S., Fuller, M.R., Fischer, R.A., and Steenhof, K., 2015, Wintering Bald Eagle count trends in the conterminous United States, 1986–2010: Journal of Raptor Research, v. 49, no. 3, p. 259-268, https://doi.org/10.3356/JRR-14-86.1.","productDescription":"10 p.","startPage":"259","endPage":"268","ipdsId":"IP-054891","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471821,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-14-86.1","text":"Publisher Index Page"},{"id":388836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n          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              46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"49","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eakle, Wade","contributorId":265264,"corporation":false,"usgs":false,"family":"Eakle","given":"Wade","affiliations":[{"id":54638,"text":"U.S. Army Corps of Engineers, South Pacific Division, San Francisco, CA","active":true,"usgs":false}],"preferred":false,"id":822490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond, Laura S.","contributorId":139513,"corporation":false,"usgs":false,"family":"Bond","given":"Laura","email":"","middleInitial":"S.","affiliations":[{"id":12786,"text":"Biomolecular Research Center, Boise State University","active":true,"usgs":false}],"preferred":false,"id":822491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":265265,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","affiliations":[{"id":49987,"text":"System.Object[]","active":true,"usgs":true}],"preferred":true,"id":822492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischer, Richard A","contributorId":265266,"corporation":false,"usgs":false,"family":"Fischer","given":"Richard","email":"","middleInitial":"A","affiliations":[{"id":54639,"text":"U.S. Army Engineer Research and Development Center, Environmental Laboratory,  Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":822493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":30585,"corporation":false,"usgs":true,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":822533,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162454,"text":"70162454 - 2015 - Unusual behavior in the parental care of a house wren (<i>Troglodytes aedon</i>): Post fledging use of an old nest during cold nights","interactions":[],"lastModifiedDate":"2017-11-22T17:48:45","indexId":"70162454","displayToPublicDate":"2015-09-01T05:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Unusual behavior in the parental care of a house wren (<i>Troglodytes aedon</i>): Post fledging use of an old nest during cold nights","docAbstract":"<p><span>I report on the unusual behavior of an adult House Wren (</span><i>Troglodytes aedon</i><span>) leading recently fledged young back to the nest for two consecutive nights. The ambient temperature reached below 0&deg;C during both nights. Despite disadvantages associated with remaining in the nest, this observation suggests that adult birds may assess trade-offs between perceived risks versus the benefits of engaging in other activities, in this case roosting communally for thermoregulation.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/14-083.1","usgsCitation":"Scholer, M.N., 2015, Unusual behavior in the parental care of a house wren (<i>Troglodytes aedon</i>): Post fledging use of an old nest during cold nights: Wilson Journal of Ornithology, v. 127, no. 3, p. 545-547, https://doi.org/10.1676/14-083.1.","productDescription":"3 p.","startPage":"545","endPage":"547","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057723","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":314780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Harney County","otherGeospatial":"Steens Mountain Cooperative Management and Protection Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.5,\n              42.6\n            ],\n            [\n              -118.5,\n              42.7\n            ],\n            [\n              -118.6,\n              42.7\n            ],\n            [\n              -118.6,\n              42.6\n            ],\n            [\n              -118.5,\n              42.6\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"127","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a7556fe4b0b28f1184d8a7","contributors":{"authors":[{"text":"Scholer, Micah N.","contributorId":152524,"corporation":false,"usgs":false,"family":"Scholer","given":"Micah","email":"","middleInitial":"N.","affiliations":[{"id":18937,"text":"Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver","active":true,"usgs":false}],"preferred":false,"id":589628,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159653,"text":"70159653 - 2015 - Factors affecting the thermal environment of Agassiz’s Desert Tortoise (<i>Gopherus agassizii</i>) cover sites in the Central Mojave Desert during periods of temperature extremes","interactions":[],"lastModifiedDate":"2017-01-12T11:37:21","indexId":"70159653","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting the thermal environment of Agassiz’s Desert Tortoise (<i>Gopherus agassizii</i>) cover sites in the Central Mojave Desert during periods of temperature extremes","docAbstract":"<p>Agassiz's Desert Tortoises (Gopherus agassizii) spend &gt;95% of their lives underground in cover sites that serve as thermal buffers from temperatures, which can fluctuate &gt;40&deg;C on a daily and seasonal basis. We monitored temperatures at 30 active tortoise cover sites within the Soda Mountains, San Bernardino County, California, from February 2004 to September 2006. Cover sites varied in type and structural characteristics, including opening height and width, soil cover depth over the opening, aspect, tunnel length, and surficial geology. We focused our analyses on periods of extreme temperature: in summer, between July 1 and September 1, and winter, between November 1 and February 15. With the use of multivariate regression tree analyses, we found cover-site temperatures were influenced largely by tunnel length and subsequently opening width and soil cover. Linear regression models further showed that increasing tunnel length increased temperature stability and dampened seasonal temperature extremes. Climate change models predict increased warming for southwestern North America. Cover sites that buffer temperature extremes and fluctuations will become increasingly important for survival of tortoises. In planning future translocation projects and conservation efforts, decision makers should consider habitats with terrain and underlying substrate that sustain cover sites with long tunnels and expanded openings for tortoises living under temperature extremes similar to those described here or as projected in the future.</p>","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/13-080","usgsCitation":"Mack, J.S., Berry, K.H., Miller, D., and Carlson, A.S., 2015, Factors affecting the thermal environment of Agassiz’s Desert Tortoise (<i>Gopherus agassizii</i>) cover sites in the Central Mojave Desert during periods of temperature extremes: Journal of Herpetology, v. 49, no. 3, p. 405-414, https://doi.org/10.1670/13-080.","productDescription":"10 p.","startPage":"405","endPage":"414","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008005","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":311399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Mojave desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.14996337890625,\n              35.49757411565533\n            ],\n            [\n              -116.663818359375,\n              35.50651802802079\n            ],\n            [\n              -116.63497924804688,\n              35.40696093270201\n            ],\n            [\n              -116.47430419921875,\n              35.40136418330354\n            ],\n            [\n              -116.47979736328125,\n              35.3285710912542\n            ],\n            [\n              -116.28341674804689,\n              35.34425514918409\n            ],\n            [\n              -116.27517700195312,\n              35.306160014550784\n            ],\n            [\n              -116.50039672851561,\n              35.112045209072974\n            ],\n            [\n              -117.12112426757811,\n              35.055856273399804\n            ],\n            [\n              -117.23098754882811,\n              35.016500995886005\n            ],\n            [\n              -117.24472045898436,\n              35.07159307658134\n            ],\n            [\n              -117.11975097656249,\n              35.088450570365396\n            ],\n            [\n              -117.14996337890625,\n              35.49757411565533\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564b0c47e4b0ebfbef0d314a","contributors":{"authors":[{"text":"Mack, Jeremy S. jmack@usgs.gov","contributorId":3851,"corporation":false,"usgs":true,"family":"Mack","given":"Jeremy","email":"jmack@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":579893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":579892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":579894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson, Andrea S.","contributorId":149879,"corporation":false,"usgs":false,"family":"Carlson","given":"Andrea","email":"","middleInitial":"S.","affiliations":[{"id":17847,"text":"USGS-WERC","active":true,"usgs":false}],"preferred":false,"id":579895,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192652,"text":"70192652 - 2015 - Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations","interactions":[],"lastModifiedDate":"2017-11-08T15:46:00","indexId":"70192652","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations","docAbstract":"<ol id=\"jane12370-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Prediction is fundamental to scientific enquiry and application; however, ecologists tend to favour explanatory modelling. We discuss a predictive modelling framework to evaluate ecological hypotheses and to explore novel/unobserved environmental scenarios to assist conservation and management decision-makers. We apply this framework to develop an optimal predictive model for juvenile (&lt;1&nbsp;year old) sandhill crane<span>&nbsp;</span><i>Grus canadensis</i><span>&nbsp;</span>recruitment of the Rocky Mountain Population (RMP). We consider spatial climate predictors motivated by hypotheses of how drought across multiple time-scales and spring/summer weather affects recruitment.</li><li>Our predictive modelling framework focuses on developing a single model that includes all relevant predictor variables, regardless of collinearity. This model is then optimized for prediction by controlling model complexity using a data-driven approach that marginalizes or removes irrelevant predictors from the model. Specifically, we highlight two approaches of statistical regularization, Bayesian least absolute shrinkage and selection operator (LASSO) and ridge regression.</li><li>Our optimal predictive Bayesian LASSO and ridge regression models were similar and on average 37% superior in predictive accuracy to an explanatory modelling approach. Our predictive models confirmed<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>hypotheses that drought and cold summers negatively affect juvenile recruitment in the RMP. The effects of long-term drought can be alleviated by short-term wet spring–summer months; however, the alleviation of long-term drought has a much greater positive effect on juvenile recruitment. The number of freezing days and snowpack during the summer months can also negatively affect recruitment, while spring snowpack has a positive effect.</li><li>Breeding habitat, mediated through climate, is a limiting factor on population growth of sandhill cranes in the RMP, which could become more limiting with a changing climate (i.e. increased drought). These effects are likely not unique to cranes. The alteration of hydrological patterns and water levels by drought may impact many migratory, wetland nesting birds in the Rocky Mountains and beyond.</li><li>Generalizable predictive models (trained by out-of-sample fit and based on ecological hypotheses) are needed by conservation and management decision-makers. Statistical regularization improves predictions and provides a general framework for fitting models with a large number of predictors, even those with collinearity, to simultaneously identify an optimal predictive model while conducting rigorous Bayesian model selection. Our framework is important for understanding population dynamics under a changing climate and has direct applications for making harvest and habitat management decisions.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12370","usgsCitation":"Gerber, B.D., Kendall, W., Hooten, M., Dubovsky, J.A., and Drewien, R.C., 2015, Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations: Journal of Animal Ecology, v. 84, no. 5, p. 1299-1310, https://doi.org/10.1111/1365-2656.12370.","productDescription":"12 p.","startPage":"1299","endPage":"1310","ipdsId":"IP-061026","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471832,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12370","text":"Publisher Index Page"},{"id":348504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-18","publicationStatus":"PW","scienceBaseUri":"5a0425c2e4b0dc0b45b453ff","contributors":{"authors":[{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":721375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubovsky, James A.","contributorId":100763,"corporation":false,"usgs":true,"family":"Dubovsky","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drewien, Roderick C.","contributorId":195989,"corporation":false,"usgs":false,"family":"Drewien","given":"Roderick","email":"","middleInitial":"C.","affiliations":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":721377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159739,"text":"70159739 - 2015 - Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus","interactions":[],"lastModifiedDate":"2021-09-01T16:05:43.950398","indexId":"70159739","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Re-colonization by common eiders <i>Somateria mollissima</i> in the Aleutian Archipelago following removal of introduced arctic foxes <i>Vulpes lagopus</i>","title":"Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus","docAbstract":"<p><span>Islands provide refuges for populations of many species where they find safety from predators, but the introduction of predators frequently results in elimination or dramatic reductions in island-dwelling organisms. When predators are removed, re-colonization for some species occurs naturally, and inter-island phylogeographic relationships and current movement patterns can illuminate processes of colonization. We studied a case of re-colonization of common eiders&nbsp;</span><i>Somateria mollissima</i><span>&nbsp;following removal of introduced arctic foxes&nbsp;</span><i>Vulpes lagopus</i><span>&nbsp;in the Aleutian Archipelago, Alaska. We expected common eiders to resume nesting on islands cleared of foxes and to re-colonize from nearby islets, islands, and island groups. We thus expected common eiders to show limited genetic structure indicative of extensive mixing among island populations. Satellite telemetry was used to record current movement patterns of female common eiders from six islands across three island groups. We collected genetic data from these and other nesting common eiders at 14 microsatellite loci and the mitochondrial DNA control region to examine population genetic structure, historical fluctuations in population demography, and gene flow. Our results suggest recent interchange among islands. Analysis of microsatellite data supports satellite telemetry data of increased dispersal of common eiders to nearby areas and little between island groups. Although evidence from mtDNA is suggestive of female dispersal among island groups, gene flow is insufficient to account for recolonization and rapid population growth. Instead, near-by remnant populations of common eiders contributed substantially to population expansion, without which re-colonization would have likely occurred at a much lower rate. Genetic and morphometric data of common eiders within one island group two and three decades after re-colonization suggests reduced movement of eiders among islands and little movement between island groups after populations were re-established. We predict that re-colonization of an island group where all common eiders are extirpated could take decades.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jav.00626","usgsCitation":"Petersen, M.R., Sonsthagen, S.A., and Sexson, M.G., 2015, Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus: Journal of Avian Biology, v. 46, no. 5, p. 538-549, https://doi.org/10.1111/jav.00626.","productDescription":"12 p.","startPage":"538","endPage":"549","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054807","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":311558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Andreanof Islands, Near Islands, Rat Islands,","volume":"46","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-12","publicationStatus":"PW","scienceBaseUri":"564f00c9e4b064dd1d09558c","contributors":{"authors":[{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":580290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":580291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sexson, Matthew G. 0000-0002-1078-0835 msexson@usgs.gov","orcid":"https://orcid.org/0000-0002-1078-0835","contributorId":5544,"corporation":false,"usgs":true,"family":"Sexson","given":"Matthew","email":"msexson@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":580292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159958,"text":"70159958 - 2015 - Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data","interactions":[],"lastModifiedDate":"2015-12-04T16:11:07","indexId":"70159958","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data","docAbstract":"<p>Ground-Based Interferometric Synthetic Aperture Radar (GBInSAR) is an efficient technique for capturing short, subtle episodes of conduit pressurization in open vent volcanoes like Stromboli (Italy), because it can detect very shallow magma storage, which is difficult to identify using other methods. This technique allows the user to choose the optimal radar location for measuring the most significant deformation signal, provides an exceptional geometrical resolution, and allows for continuous monitoring of the deformation. Here, we present and model ground displacements collected at Stromboli by GBInSAR from January 2010 to August 2014. During this period, the volcano experienced several episodes of intense volcanic activity, culminated in the effusive flank eruption of August 2014. Modelling of the deformation allowed us to estimate a source depth of 482 &plusmn; 46 m a.s.l. The cumulative volume change was 4.7 &plusmn; 2.6 &times; 105 m3. The strain energy of the source was evaluated 3&ndash;5 times higher than the surface energy needed to open the 6&ndash;7 August eruptive fissure. The analysis proposed here can help forecast shifts in the eruptive style and especially the onset of flank eruptions at Stromboli and at similar volcanic systems (e.g. Etna, Piton de La Fournaise, Kilauea).</p>","language":"English","publisher":"Nature Publishing Group (NPG)","doi":"10.1038/srep13569","usgsCitation":"Di Traglia, F., Battaglia, M., Nolesini, T., Lagomarsino, D., and Casaglia, N., 2015, Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data: Scientific Reports, no. 5, 11 p., https://doi.org/10.1038/srep13569.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064541","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471838,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep13569","text":"Publisher Index Page"},{"id":311951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311915,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.com/articles/srep13569"}],"country":"Italy","otherGeospatial":"Stromboli","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              15.213661193847658,\n              38.81189098781871\n            ],\n            [\n              15.190315246582033,\n              38.79771102715645\n            ],\n            [\n              15.184478759765627,\n              38.790753788294424\n            ],\n            [\n              15.191688537597654,\n              38.7800490179011\n            ],\n            [\n              15.201988220214846,\n              38.77656962147866\n            ],\n            [\n              15.215721130371096,\n              38.77041335043523\n            ],\n            [\n              15.226364135742188,\n              38.77442837007637\n            ],\n            [\n              15.232543945312498,\n              38.78459874169886\n            ],\n            [\n              15.240097045898438,\n              38.79450007821985\n            ],\n            [\n              15.24421691894531,\n              38.80573776659133\n            ],\n            [\n              15.228080749511719,\n              38.812426025416734\n            ],\n            [\n              15.216751098632812,\n              38.81296105899589\n            ],\n            [\n              15.213661193847658,\n              38.81189098781871\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"5662c759e4b06a3ea36c67cb","contributors":{"authors":[{"text":"Di Traglia, Federico","contributorId":150264,"corporation":false,"usgs":false,"family":"Di Traglia","given":"Federico","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglia, Maurizio mbattaglia@usgs.gov","contributorId":139631,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":581187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolesini, Teresa","contributorId":150265,"corporation":false,"usgs":false,"family":"Nolesini","given":"Teresa","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lagomarsino, Daniela","contributorId":150266,"corporation":false,"usgs":false,"family":"Lagomarsino","given":"Daniela","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casaglia, Nicola","contributorId":150267,"corporation":false,"usgs":false,"family":"Casaglia","given":"Nicola","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581191,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162015,"text":"70162015 - 2015 - Upgrade of the New China Digital Seismograph Network","interactions":[],"lastModifiedDate":"2016-01-13T09:54:03","indexId":"70162015","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Upgrade of the New China Digital Seismograph Network","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140182","usgsCitation":"Anderson, D., Anderson, J., Ford, D., Gee, L.S., Gyure, G., Hutt, C.R., Kromer, E., Marshall, B., Persefield, K., Ringler, A.T., Sharratt, M., Storm, T., Wilson, D.C., Yang, D., and Zheng, Z., 2015, Upgrade of the New China Digital Seismograph Network: Seismological Research Letters, v. 86, no. 5, p. 1364-1373, https://doi.org/10.1785/0220140182.","productDescription":"10 p.","startPage":"1364","endPage":"1373","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066237","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-29","publicationStatus":"PW","scienceBaseUri":"56978341e4b039675d00a700","contributors":{"authors":[{"text":"Anderson, D.","contributorId":9211,"corporation":false,"usgs":true,"family":"Anderson","given":"D.","affiliations":[],"preferred":false,"id":588543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J.","contributorId":103437,"corporation":false,"usgs":true,"family":"Anderson","given":"J.","affiliations":[],"preferred":false,"id":588544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, D.","contributorId":152222,"corporation":false,"usgs":false,"family":"Ford","given":"D.","email":"","affiliations":[],"preferred":false,"id":588545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gee, Lind S. lgee@usgs.gov","contributorId":145579,"corporation":false,"usgs":true,"family":"Gee","given":"Lind","email":"lgee@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":588330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gyure, G.","contributorId":152223,"corporation":false,"usgs":false,"family":"Gyure","given":"G.","email":"","affiliations":[],"preferred":false,"id":588546,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kromer, E.","contributorId":152224,"corporation":false,"usgs":false,"family":"Kromer","given":"E.","email":"","affiliations":[],"preferred":false,"id":588547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marshall, B.","contributorId":107163,"corporation":false,"usgs":true,"family":"Marshall","given":"B.","affiliations":[],"preferred":false,"id":588548,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Persefield, K.","contributorId":152226,"corporation":false,"usgs":false,"family":"Persefield","given":"K.","email":"","affiliations":[],"preferred":false,"id":588549,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588332,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sharratt, M.","contributorId":152227,"corporation":false,"usgs":false,"family":"Sharratt","given":"M.","email":"","affiliations":[],"preferred":false,"id":588550,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Storm, Tyler 0000-0002-6787-9545 tstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-9545","contributorId":152165,"corporation":false,"usgs":true,"family":"Storm","given":"Tyler","email":"tstorm@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588333,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588329,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yang, D.","contributorId":82440,"corporation":false,"usgs":true,"family":"Yang","given":"D.","email":"","affiliations":[],"preferred":false,"id":588551,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zheng, Z.","contributorId":152228,"corporation":false,"usgs":false,"family":"Zheng","given":"Z.","email":"","affiliations":[],"preferred":false,"id":588552,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70174875,"text":"70174875 - 2015 - Model averaging and muddled multimodel inferences","interactions":[],"lastModifiedDate":"2017-05-04T10:07:30","indexId":"70174875","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Model averaging and muddled multimodel inferences","docAbstract":"<p><span>Three flawed practices associated with model averaging coefficients for predictor variables in regression models commonly occur when making multimodel inferences in analyses of ecological data. Model-averaged regression coefficients based on Akaike information criterion (AIC) weights have been recommended for addressing model uncertainty but they are not valid, interpretable estimates of partial effects for individual predictors when there is multicollinearity among the predictor variables. Multicollinearity implies that the scaling of units in the denominators of the regression coefficients may change across models such that neither the parameters nor their estimates have common scales, therefore averaging them makes no sense. The associated sums of AIC model weights recommended to assess relative importance of individual predictors are really a measure of relative importance of models, with little information about contributions by individual predictors compared to other measures of relative importance based on effects size or variance reduction. Sometimes the model-averaged regression coefficients for predictor variables are incorrectly used to make model-averaged predictions of the response variable when the models are not linear in the parameters. I demonstrate the issues with the first two practices using the college grade point average example extensively analyzed by Burnham and Anderson. I show how partial standard deviations of the predictor variables can be used to detect changing scales of their estimates with multicollinearity. Standardizing estimates based on partial standard deviations for their variables can be used to make the scaling of the estimates commensurate across models, a necessary but not sufficient condition for model averaging of the estimates to be sensible. A unimodal distribution of estimates and valid interpretation of individual parameters are additional requisite conditions. The standardized estimates or equivalently the&nbsp;</span><i>t</i><span>statistics on unstandardized estimates also can be used to provide more informative measures of relative importance than sums of AIC weights. Finally, I illustrate how seriously compromised statistical interpretations and predictions can be for all three of these flawed practices by critiquing their use in a recent species distribution modeling technique developed for predicting Greater Sage-Grouse (</span><i>Centrocercus urophasianus</i><span>) distribution in Colorado, USA. These model averaging issues are common in other ecological literature and ought to be discontinued if we are to make effective scientific contributions to ecological knowledge and conservation of natural resources.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1639.1","usgsCitation":"Cade, B.S., 2015, Model averaging and muddled multimodel inferences: Ecology, v. 96, no. 9, p. 2370-7382, https://doi.org/10.1890/14-1639.1.","startPage":"2370","endPage":"7382","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051478","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578f4f2fe4b0ad6235cf002e","contributors":{"authors":[{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":642943,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192438,"text":"70192438 - 2015 - The climate space of fire regimes in north-western North America","interactions":[],"lastModifiedDate":"2017-10-26T14:10:10","indexId":"70192438","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"The climate space of fire regimes in north-western North America","docAbstract":"<p>Aim. Studies of fire activity along environmental gradients have been undertaken, but the results of such studies have yet to be integrated with fire-regime analysis. We characterize fire-regime components along climate gradients and a gradient of human influence. <br>Location. We focus on a climatically diverse region of north-western North America extending from northern British Columbia, Canada, to northern Utah and Colorado, USA.<br>Methods. We used a multivariate framework to collapse 12 climatic variables into two major climate gradients and binned them into 73 discrete climate domains. We examined variation in fire-regime components (frequency, size, severity, seasonality and cause) across climate domains. Fire-regime attributes were compiled from existing databases and Landsat imagery for 1897 large fires. Relationships among the fire-regime components, climate gradients and human influence were examined through bivariate regressions. The unique contribution of human influence was also assessed.<br>Results. A primary climate gradient of temperature and summer precipitation and a secondary gradient of continentality and winter precipitation in the study area were identified. Fire occupied a distinct central region of such climate space, within which fire-regime components varied considerably. We identified significant interrelations between fire-regime components of fire size, frequency, burn severity and cause. The influence of humans was apparent in patterns of burn severity and ignition cause.<br>Main conclusions.&nbsp;Wildfire activity is highest where thermal and moisture gradients converge to promote fuel production, flammability and ignitions. Having linked fire-regime components to large-scale climate gradients, we show that fire regimes – like the climate that controls them – are a part of a continuum, expanding on models of varying constraints on fire activity. The observed relationships between fire-regime components, together with the distinct role of climatic and human influences, generate variation in biotic communities. Thus, future changes to climate may lead to ecological changes through altered fire regimes.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jbi.12533","usgsCitation":"Whitman, E., Batllori, E., Parisien, M., Miller, C., Coop, J.D., Krawchuk, M.A., Chong, G.W., and Haire, S.L., 2015, The climate space of fire regimes in north-western North America: Journal of Biogeography, v. 42, no. 9, p. 1736-1749, https://doi.org/10.1111/jbi.12533.","productDescription":"14 p.","startPage":"1736","endPage":"1749","ipdsId":"IP-060450","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n   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Ellen","contributorId":187429,"corporation":false,"usgs":false,"family":"Whitman","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":715828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batllori, Enric","contributorId":198367,"corporation":false,"usgs":false,"family":"Batllori","given":"Enric","email":"","affiliations":[],"preferred":false,"id":715829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parisien, Marc-Andre","contributorId":198368,"corporation":false,"usgs":false,"family":"Parisien","given":"Marc-Andre","email":"","affiliations":[],"preferred":false,"id":715830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Carol","contributorId":187430,"corporation":false,"usgs":false,"family":"Miller","given":"Carol","email":"","affiliations":[],"preferred":false,"id":715832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coop, Jonathan D.","contributorId":187427,"corporation":false,"usgs":false,"family":"Coop","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":715833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krawchuk, Meg A.","contributorId":187425,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715834,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":715827,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haire, Sandra L.","contributorId":187426,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":715831,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192532,"text":"70192532 - 2015 - Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe","interactions":[],"lastModifiedDate":"2017-10-26T13:19:10","indexId":"70192532","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe","docAbstract":"<p><strong>Questions</strong></p><p>(i) What role does the type of managed disturbance play in structuring sagebrush steppe plant communities? (ii) How does the composition of post-disturbance plant communities change with time since disturbance? (iii) Does plant community diversity change over time following managed disturbance?</p><p><strong>Location</strong></p><p>Field study within the sagebrush steppe ecosystem. Rich County, Utah, USA.</p><p><strong>Methods</strong></p><p>We developed a chronosequence spanning up to 50&nbsp;yrs post-treatment to study sagebrush steppe vegetation dynamics. Direct ordination was used to examine plant community composition by managed disturbance type and time since disturbance, and factorial analysis of covariance was used to examine diversity dynamics following disturbance. Indicator species values were calculated in order to identify characteristic species for each disturbance type.</p><p><strong>Results</strong></p><p>Plant communities experienced a shift toward distinct community composition for each of the three managed disturbance types, and gave no indication of returning to untreated community composition or diversity. Small post-disturbance increases in the number of non-native grass species were observed in the treatments relative to reference, with native forb species making the largest contribution to altered composition. On fire- and chemically-treated sites the proportional native forb species richness increased over time since disturbance, while the proportional contribution of non-native forbs to total species richness decreased. For all three treatment types, native grasses contributed less on average to total richness than on reference sites, while non-native grasses made up a higher proportion of total richness.</p><p><strong>Conclusions</strong></p><p>Common shrubland management techniques have legacy effects on the composition and diversity of sagebrush steppe plant communities, and no-analogue disturbances, such as chemical or mechanical treatments, have more pronounced legacy effects than treatments similar to natural disturbance regimes (fire). This study informs a broader understanding of how management actions affect natural systems by highlighting the importance of long-term management legacies as drivers of plant community structure and function.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12293","usgsCitation":"Ripplinger, J., Franklin, J., and Edwards, T., 2015, Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe: Journal of Vegetation Science, v. 26, no. 5, p. 923-933, https://doi.org/10.1111/jvs.12293.","productDescription":"11 p.","startPage":"923","endPage":"933","ipdsId":"IP-037820","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","county":"Rich 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