{"pageNumber":"1109","pageRowStart":"27700","pageSize":"25","recordCount":165459,"records":[{"id":70202738,"text":"70202738 - 2016 - Streamflow","interactions":[],"lastModifiedDate":"2019-03-25T09:35:09","indexId":"70202738","displayToPublicDate":"2016-01-01T10:44:44","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Streamflow","docAbstract":"<p>This indicator describes trends in the amount of water carried by streams across the United States, as well as the timing of runoff associated with snowmelt.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Climate change indicators in the United States","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Environmental Protection Agency","usgsCitation":"McHale, M., Dudley, R.W., and Hodgkins, G.A., 2016, Streamflow (Fourth Edition), 2 p.","productDescription":"2 p.","startPage":"74","endPage":"75","ipdsId":"IP-095677","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":362272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362265,"type":{"id":11,"text":"Document"},"url":"https://www.epa.gov/sites/production/files/2016-08/documents/climate_indicators_2016.pdf"}],"country":"United States","edition":"Fourth Edition","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McHale, Michael 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":177292,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759738,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228709,"text":"70228709 - 2016 - Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2015","interactions":[],"lastModifiedDate":"2022-09-13T15:28:27.591899","indexId":"70228709","displayToPublicDate":"2016-01-01T09:59:23","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":3,"text":"Annual Report","active":false,"publicationSubtype":{"id":1}},"title":"Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2015","docAbstract":"<p>This Annual Report summarizes results of grizzly bear (<i>Ursus arctos</i>) monitoring and research conducted in the Greater Yellowstone Ecosystem (GYE) by the Interagency Grizzly Bear Study Team (IGBST) during 2015. The report also contains a summary of grizzly bear management actions to address conflict situations.&nbsp;</p>","language":"English","publisher":"Interagency Grizzly Bear Study Team","usgsCitation":"2016, Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2015: Annual Report, 139 p.","productDescription":"139 p.","ipdsId":"IP-130026","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":406600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":406599,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/catalog/file/get/6266a697d34e76103cce5808?f=__disk__01%2F58%2Fab%2F0158ab0b517979da53c0ebf39f556209fc683265","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.68701171875,\n              42.85985981506279\n            ],\n            [\n              -109.27001953125,\n              42.85985981506279\n            ],\n            [\n              -109.27001953125,\n              45.583289756006316\n            ],\n            [\n              -111.68701171875,\n              45.583289756006316\n            ],\n            [\n              -111.68701171875,\n              42.85985981506279\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":835177,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":835178,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karabensh, Bryn 0000-0002-2052-5256","orcid":"https://orcid.org/0000-0002-2052-5256","contributorId":219113,"corporation":false,"usgs":true,"family":"Karabensh","given":"Bryn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":835179,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70171441,"text":"70171441 - 2016 - Distributions of small nongame fishes in the lower Yellowstone River","interactions":[],"lastModifiedDate":"2016-06-01T14:35:47","indexId":"70171441","displayToPublicDate":"2016-01-01T03:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Distributions of small nongame fishes in the lower Yellowstone River","docAbstract":"<p><span>The Yellowstone River is the longest unimpounded river in the conterminous United States. It has a relatively natural flow regime, which helps maintain diverse habitats and fish assemblages uncommon in large rivers elsewhere. The lower Yellowstone River was thought to support a diverse nongame fish assemblage including several species of special concern. However, comprehensive data on the small nongame fish assemblage of the lower Yellowstone River is lacking. Therefore, we sampled the Yellowstone River downstream of its confluence with the Clark&rsquo;s Fork using fyke nets and otter trawls to assess distributions and abundances of small nongame fishes. We captured 42 species (24 native and 18 nonnative) in the lower Yellowstone River with fyke nets. Native species constituted over 99% of the catch. Emerald shiners&nbsp;</span><i>Notropis atherinoides</i><span>, western silvery minnows&nbsp;</span><i>Hybognathus argyritis</i><span>, flathead chubs&nbsp;</span><i>Platygobio gracilis</i><span>, sand shiners&nbsp;</span><i>Notropis stramineus</i><span>, and longnose dace&nbsp;</span><i>Rhinichthys cataractae</i><span>&nbsp;composed nearly 94% of fyke net catch and were caught in every segment of the study area. We captured 24 species by otter trawling downstream of the Tongue River. Sturgeon chubs&nbsp;</span><i>Macrhybopsis gelida</i><span>, channel catfish&nbsp;</span><i>Ictalurus punctatus</i><span>, flathead chubs, stonecats&nbsp;</span><i>Noturus flavus</i><span>, and sicklefin chubs&nbsp;</span><i>Macrhybopsis meeki</i><span>&nbsp;composed 89% of the otter trawl catch. The upstream distributional limit of sturgeon chubs in the Yellowstone River was the Tongue River; few sicklefin chubs were captured above Intake Diversion Dam. This study not only provides biologists with baseline data for future monitoring efforts on the Yellowstone River but serves as a benchmark for management and conservation efforts in large rivers elsewhere as the Yellowstone River represents one of the best references for a naturally functioning Great Plains river.</span></p>","language":"English","publisher":"University of Notre Dame","doi":"10.1674/amid-175-01-01-23.1","usgsCitation":"Duncan, M.B., Bramblett, R.G., and Zale, A.V., 2016, Distributions of small nongame fishes in the lower Yellowstone River: American Midland Naturalist, v. 175, no. 1, p. 1-23, https://doi.org/10.1674/amid-175-01-01-23.1.","productDescription":"23 p.","startPage":"1","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064449","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":322031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Billings, Sidney","otherGeospatial":"Bighorn River, Cartersville Diversion Dam, Clarks Fork River, Meyers Diversion Dam, Huntley Diversion Dam, Intake Diversion Dam, O'Fallon Creek, Powder River, Rancher Diversion Dam, Tongue River, Waco Diversion Dam, Yellowstone River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.86328125,\n              45.48324350868221\n            ],\n            [\n              -109.86328125,\n              48.10743118848039\n            ],\n            [\n              -103.985595703125,\n              48.10743118848039\n            ],\n            [\n              -103.985595703125,\n              45.48324350868221\n            ],\n            [\n              -109.86328125,\n              45.48324350868221\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"175","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57500754e4b0ee97d51bb538","contributors":{"authors":[{"text":"Duncan, Michael B.","contributorId":169856,"corporation":false,"usgs":false,"family":"Duncan","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":631284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":631285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":630993,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168717,"text":"70168717 - 2016 - Tamarisk beetle (<i>Diorhabda</i> spp.) in the Colorado River basin: Synthesis of an expert panel forum","interactions":[],"lastModifiedDate":"2016-04-12T13:29:50","indexId":"70168717","displayToPublicDate":"2016-01-01T01:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Tamarisk beetle (<i>Diorhabda</i> spp.) in the Colorado River basin: Synthesis of an expert panel forum","docAbstract":"<h1>Executive Summary</h1>\n<p>In 2001, the U.S. Department of Agriculture approved the release of a biological control agent, the tamarisk beetle (<i>Diorhabda</i> spp.), to naturally control tamarisk populations and provide a less costly, and potentially more effective, means of removal compared with mechanical and chemical methods. The invasive plant tamarisk (<i>Tamarix</i> spp.; saltcedar) occupies hundreds of thousands of acres of river floodplains and terraces across the western half of the North American continent. Its abundance varies, but can include dense monocultures, and can alter some physical and ecological processes associated with riparian ecosystems.</p>\n<p>The tamarisk beetle now occupies hundreds of miles of rivers throughout the Upper Colorado River Basin (UCRB) and is spreading into the Lower Basin. The efficacy of the beetle is evident, with many areas repeatedly experiencing tamarisk defoliation. While many welcome the beetle as a management tool, others are concerned by the ecosystem implications of widespread defoliation of a dominant woody species. As an example, defoliation may possibly affect the nesting success of the endangered southwestern willow flycatcher (<i>Empidonax traillii extimus</i>).</p>\n<p>In January 2015, the Tamarisk Coalition convened a panel of experts to discuss and present information on probable ecological trajectories in the face of widespread beetle presence and to consider opportunities for restoration and management of riparian systems in the Colorado River Basin (CRB). An in-depth description of the panel discussion follows.&nbsp;</p>","largerWorkTitle":"Ruth Powell Hutchins Water Center scientific and technical report series","language":"English","publisher":"Colorado Mesa University","publisherLocation":"Grand Junction, CO","usgsCitation":"Bloodworth, B.R., Shafroth, P.B., Sher, A.A., Manners, R.B., Bean, D.W., Johnson, M.J., and Hinojosa-Huerta, O., 2016, Tamarisk beetle (<i>Diorhabda</i> spp.) in the Colorado River basin: Synthesis of an expert panel forum, 19 p.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071149","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":319981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":318390,"type":{"id":15,"text":"Index Page"},"url":"https://www.coloradomesa.edu/water-center/scientific-technical-reports.html"}],"country":"Mexico, United States","state":"Arizona, California, Chihuahua, Colorado, Idaho, Kansas, Nevada, New Mexico, Oregon, Texas, Utah, Wyoming","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.97314453125,\n              43.389081939117496\n            ],\n            [\n              -109.77539062499999,\n              43.29320031385282\n            ],\n            [\n              -109.3798828125,\n              43.08493742707592\n            ],\n            [\n              -108.7646484375,\n              43.02071359427862\n            ],\n            [\n              -107.81982421874999,\n              42.71473218539458\n            ],\n            [\n              -107.55615234375,\n              42.53689200787317\n            ],\n            [\n              -106.80908203125,\n              41.86956082699455\n            ],\n            [\n              -106.41357421875,\n              40.83043687764923\n            ],\n            [\n              -106.01806640624999,\n              40.44694705960048\n            ],\n            [\n              -106.23779296875,\n              39.740986355883564\n            ],\n            [\n              -106.50146484374999,\n              38.90813299596705\n            ],\n            [\n              -106.72119140625,\n              38.42777351132905\n            ],\n            [\n              -106.98486328124999,\n              38.151837403006766\n            ],\n            [\n              -106.875,\n              37.87485339352928\n            ],\n            [\n              -106.76513671875,\n              37.61423141542417\n            ],\n            [\n              -106.61132812499999,\n              37.38761749978395\n            ],\n            [\n              -106.9189453125,\n              36.79169061907076\n            ],\n            [\n              -107.24853515625,\n              36.491973470593685\n            ],\n            [\n              -107.60009765625,\n              36.13787471840729\n            ],\n            [\n              -107.8857421875,\n              35.460669951495305\n            ],\n            [\n              -108.017578125,\n              34.27083595165\n            ],\n            [\n              -108.17138671875,\n              33.61461929233378\n            ],\n            [\n              -107.8857421875,\n              33.24787594792436\n            ],\n            [\n              -108.06152343749999,\n              32.713355353177555\n            ],\n            [\n              -108.3251953125,\n              32.08257455954592\n            ],\n            [\n              -108.56689453125,\n              31.3348710339506\n            ],\n            [\n              -108.720703125,\n              30.845647420182598\n            ],\n            [\n              -109.2919921875,\n              30.088107753367257\n            ],\n            [\n              -109.84130859375,\n              29.897805610155874\n            ],\n            [\n              -110.19287109375,\n              30.050076521698735\n            ],\n            [\n              -110.6982421875,\n              29.99300228455108\n            ],\n            [\n              -111.11572265625,\n              29.66896252599253\n            ],\n            [\n              -111.796875,\n              29.630771207229\n            ],\n            [\n              -112.2802734375,\n              29.573457073017593\n            ],\n            [\n              -112.54394531249999,\n              29.649868677972304\n            ],\n            [\n              -112.69775390625,\n              29.821582720575016\n            ],\n            [\n              -112.82958984375,\n              29.916852233070173\n            ],\n            [\n              -112.87353515625,\n              30.183121842195515\n            ],\n            [\n              -112.96142578125,\n              30.35391637229704\n            ],\n            [\n              -113.09326171875,\n              30.50548389892728\n            ],\n            [\n              -113.18115234375,\n              30.78903675126116\n            ],\n            [\n              -113.18115234375,\n              30.996445897426373\n            ],\n            [\n              -113.22509765625,\n              31.18460913574325\n            ],\n            [\n              -113.48876953125,\n              31.147006308556566\n            ],\n            [\n              -113.6865234375,\n              31.316101383495624\n            ],\n            [\n              -113.8623046875,\n              31.484893386890164\n            ],\n            [\n              -114.10400390625,\n              31.409912194070973\n            ],\n            [\n              -114.3017578125,\n              31.484893386890164\n            ],\n            [\n              -114.45556640625,\n              31.634675549541356\n            ],\n            [\n              -114.67529296874999,\n              31.615965936476076\n            ],\n            [\n              -114.98291015625,\n              31.57853542647338\n            ],\n            [\n              -115.224609375,\n              31.634675549541356\n            ],\n            [\n              -115.4443359375,\n              31.89621446335144\n            ],\n            [\n              -115.4443359375,\n              32.194208672875384\n            ],\n            [\n              -115.37841796874999,\n              32.32427558887655\n            ],\n            [\n              -115.09277343749999,\n              32.39851580247402\n            ],\n            [\n              -114.80712890625,\n              32.657875736955305\n            ],\n            [\n              -114.85107421875,\n              32.861132322810946\n            ],\n            [\n              -115.15869140624999,\n              33.119150226768866\n            ],\n            [\n              -115.53222656249999,\n              33.35806161277885\n            ],\n            [\n              -115.42236328124999,\n              33.5963189611327\n            ],\n            [\n              -115.224609375,\n              33.99802726234877\n            ],\n            [\n              -115.11474609375001,\n              34.379712580462204\n            ],\n            [\n              -115.1806640625,\n              34.88593094075317\n            ],\n            [\n              -115.23559570312499,\n              35.44277092585766\n            ],\n            [\n              -115.24658203125,\n              35.594785665487244\n            ],\n            [\n              -115.34545898437499,\n              35.66622234103479\n            ],\n            [\n              -115.60913085937499,\n              35.88014896488361\n            ],\n            [\n              -115.81787109375,\n              36.02244668175846\n            ],\n            [\n              -115.83984375,\n              36.182224980422525\n            ],\n            [\n              -115.81787109375,\n              36.34167804918315\n            ],\n            [\n              -115.72998046875,\n              36.58024660149866\n            ],\n            [\n              -115.697021484375,\n              36.686041276581925\n            ],\n            [\n              -115.42236328124999,\n              36.80928470205937\n            ],\n            [\n              -115.24658203125,\n              36.97622678464096\n            ],\n            [\n              -115.224609375,\n              37.16907157713011\n            ],\n            [\n              -115.20263671874999,\n              37.57070524233116\n            ],\n            [\n              -115.1806640625,\n              38.004819966413194\n            ],\n            [\n              -115.12573242187499,\n              38.565347844885466\n            ],\n            [\n              -114.9609375,\n              38.788345355085625\n            ],\n            [\n              -114.85107421875,\n              38.762650338334154\n            ],\n            [\n              -114.6533203125,\n              38.591113776147445\n            ],\n            [\n              -114.63134765625001,\n              38.42777351132905\n            ],\n            [\n              -114.554443359375,\n              38.28993659801203\n            ],\n            [\n              -114.43359375,\n              38.08268954483802\n            ],\n            [\n              -114.32373046875,\n              37.814123701604466\n            ],\n            [\n              -114.114990234375,\n              37.735969208590504\n            ],\n            [\n              -113.7030029296875,\n              37.58811876638322\n            ],\n            [\n              -113.5382080078125,\n              37.64468458716586\n            ],\n            [\n              -113.48876953125,\n              37.740313292102634\n            ],\n            [\n              -113.389892578125,\n              37.792422407988575\n            ],\n            [\n              -113.3184814453125,\n              37.74465712069939\n            ],\n            [\n              -113.18115234375,\n              37.69686098744192\n            ],\n            [\n              -113.08227539062499,\n              37.76202988573211\n            ],\n            [\n              -112.9779052734375,\n              37.8271414168374\n            ],\n            [\n              -112.8131103515625,\n              37.85750715625203\n            ],\n            [\n              -112.7252197265625,\n              37.983174833513395\n            ],\n            [\n              -112.664794921875,\n              38.156156969924915\n            ],\n            [\n              -112.5714111328125,\n              38.28993659801203\n            ],\n            [\n              -112.5714111328125,\n              38.47939467327645\n            ],\n            [\n              -112.5714111328125,\n              38.676933444637925\n            ],\n            [\n              -112.4835205078125,\n              38.81831117374662\n            ],\n            [\n              -112.32421875,\n              38.91240739487225\n            ],\n            [\n              -112.2198486328125,\n              39.07464374293249\n            ],\n            [\n              -112.071533203125,\n              39.1854331703021\n            ],\n            [\n              -111.91223144531249,\n              39.39799959542146\n            ],\n            [\n              -111.8353271484375,\n              39.9434364619742\n            ],\n            [\n              -111.42333984375,\n              40.56389453066509\n            ],\n            [\n              -111.37939453125,\n              40.94671366508002\n            ],\n            [\n              -111.1376953125,\n              41.0130657870063\n            ],\n            [\n              -110.91796875,\n              41.22824901518532\n            ],\n            [\n              -110.7861328125,\n              41.65649719441145\n            ],\n            [\n              -110.72021484375,\n              42.342305278572816\n            ],\n            [\n              -110.72021484375,\n              42.61779143282346\n            ],\n            [\n              -110.63232421875,\n              43.052833917627936\n            ],\n            [\n              -110.56640625,\n              43.389081939117496\n            ],\n            [\n              -110.478515625,\n              43.56447158721811\n            ],\n            [\n              -110.4345703125,\n              43.723474896114794\n            ],\n            [\n              -110.19287109375,\n              43.723474896114794\n            ],\n            [\n              -110.01708984374999,\n              43.67581809328341\n            ],\n            [\n              -109.97314453125,\n              43.389081939117496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"570e1c37e4b0ef3b7ca24c47","contributors":{"authors":[{"text":"Bloodworth, Benjamin R.","contributorId":167193,"corporation":false,"usgs":false,"family":"Bloodworth","given":"Benjamin","email":"","middleInitial":"R.","affiliations":[{"id":24639,"text":"Tamarisk Coalition","active":true,"usgs":false}],"preferred":false,"id":621376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":621375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sher, Anna A.","contributorId":167194,"corporation":false,"usgs":false,"family":"Sher","given":"Anna","email":"","middleInitial":"A.","affiliations":[{"id":12651,"text":"University of Denver","active":true,"usgs":false}],"preferred":false,"id":621377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manners, Rebecca B.","contributorId":167195,"corporation":false,"usgs":false,"family":"Manners","given":"Rebecca","email":"","middleInitial":"B.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":621378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bean, Daniel W.","contributorId":167196,"corporation":false,"usgs":false,"family":"Bean","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":16124,"text":"Colorado Department of Agriculture, Biological Pest Control","active":true,"usgs":false}],"preferred":false,"id":621379,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Matthew J. mjjohnson@usgs.gov","contributorId":167197,"corporation":false,"usgs":false,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":621380,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hinojosa-Huerta, Osvel","contributorId":167198,"corporation":false,"usgs":false,"family":"Hinojosa-Huerta","given":"Osvel","affiliations":[{"id":24640,"text":"Pronatura Noroeste","active":true,"usgs":false}],"preferred":false,"id":621381,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198002,"text":"70198002 - 2016 - Hematology results from experimental exposure of sandhill cranes to West Nile virus","interactions":[],"lastModifiedDate":"2018-07-06T13:32:47","indexId":"70198002","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hematology results from experimental exposure of sandhill cranes to West Nile virus","docAbstract":"West Nile virus is a deadly virus for young cranes. In testing two different vaccines on both adult sandhill cranes (Grus canadensis), we discovered that some blood parameters are altered by exposure to the virus. White blood cell counts were the most obvious, and may be used as an indicator of West Nile virus exposure in cranes. Other hematology and serum chemistry results were studied and only hematocrit, percent heterophils, and percent lymphocytes were of interest, along with the already published information on titers encountered in experimental infections. Clinical pathology results showed challenged cranes, whether vaccinated or not, had a decrease in their hematocrits and an elevation of 2.5-fold in their white blood cell counts as compared to unchallenged control sandhill cranes. No differences were apparent in the differential counts of heterophils and lymphocytes. Our work would suggest that a combination of white blood cell counts and antibody titers can be used to diagnose and assess the severity of West Nile virus infections in cranes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the North American Crane Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"North American Crane Workshop","conferenceDate":"April 14-17, 2014","conferenceLocation":"Lafayette, LA","language":"English","publisher":"North American Crane Working Group","usgsCitation":"Olsen, G.H., 2016, Hematology results from experimental exposure of sandhill cranes to West Nile virus, <i>in</i> Proceedings of the North American Crane Workshop, Lafayette, LA, April 14-17, 2014, p. 103-106.","productDescription":"4 p.","startPage":"103","endPage":"106","ipdsId":"IP-085093","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":355531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355530,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nacwg.org/proceedings13.html"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e8e9e4b060350a15d337","contributors":{"authors":[{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":739554,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174170,"text":"70174170 - 2016 - The swing of it: Hammock camping","interactions":[],"lastModifiedDate":"2017-11-04T14:04:51","indexId":"70174170","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5165,"text":"A.T. Journeys","active":true,"publicationSubtype":{"id":10}},"title":"The swing of it: Hammock camping","docAbstract":"<p>Hammock camping is dramatically expanding along the Appalachian Trail and raising both questions and concerns among Trail land managers, club members, and backpackers. This article examines some of the advantages and disadvantages of hammock camping, including resource and social impacts. Some Leave No Trace hammock camping practices are included for those using hammocks at well-established campsites and when \"pristine-site\" camping.</p>","language":"English","publisher":"Appalachian Trail Conservancy","usgsCitation":"Marion, J.L., 2016, The swing of it: Hammock camping: A.T. Journeys, v. Spring 2016, p. 12-18.","productDescription":"7 p.","startPage":"12","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073255","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":326237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Spring 2016","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad73e4b05e859bdfbb1e","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641020,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173925,"text":"70173925 - 2016 - Cascade Mountain Range in Oregon","interactions":[],"lastModifiedDate":"2016-06-21T11:19:40","indexId":"70173925","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Cascade Mountain Range in Oregon","docAbstract":"<p>The Cascade mountain system extends from northern California to central British Columbia. In Oregon, it comprises the Cascade Range, which is 260 miles long and, at greatest breadth, 90 miles wide&nbsp;<a href=\"http://oregonencyclopedia.org/media/uploads/Table_1.pdf\" target=\"_blank\">(fig. 1</a>). Oregon&rsquo;s Cascade Range covers roughly 17,000 square miles, or about 17 percent of the state, an area larger than each of the smallest nine of the fifty United States. The range is bounded on the east by U.S. Highways 97 and 197. On the west it reaches nearly to Interstate 5<i>,</i>&nbsp;forming the eastern margin of the Willamette Valley and, farther south, abutting the Coast Ranges.&nbsp;</p>\n<p><span>Along its Oregon segment, the Cascade Range is almost entirely volcanic in origin. The volcanoes and their eroded remnants are the visible magmatic expression of the Cascadia subduction zone, where the offshore Juan de Fuca tectonic plate is subducted beneath North America.&nbsp;Subduction occurs as two lithospheric plates collide, and an underthrusted oceanic plate is commonly dragged into the mantle by the pull of gravity, carrying&nbsp;ocean-bottom rock and sediment down to where heat and pressure expel water. As this water rises, it lowers the melting temperature in the overlying hot mantle rocks, thereby promoting melting. The molten rock supplies the volcanic arcs with heat and magma.&nbsp;Cascade Range volcanoes are part of the Ring of Fire, a popular term for the numerous volcanic arcs that encircle the Pacific Ocean.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Oregon Encyclopedia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oregon Historical Society","publisherLocation":"Portland, OR","usgsCitation":"Sherrod, D.R., 2016, Cascade Mountain Range in Oregon, chap. <i>of</i> The Oregon Encyclopedia, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070440","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":324093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324092,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://oregonencyclopedia.org/articles/cascade_mountain_range/#.V2lopvkrJhF"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.4423828125,\n              41.97582726102573\n            ],\n            [\n              -123.4423828125,\n              45.69083283645816\n            ],\n            [\n              -121.03637695312499,\n              45.69083283645816\n            ],\n            [\n              -121.03637695312499,\n              41.97582726102573\n            ],\n            [\n              -123.4423828125,\n              41.97582726102573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a6532e4b07657d1a11d19","contributors":{"authors":[{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":639374,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70198001,"text":"70198001 - 2016 - Photoperiod and nesting phenology of whooping cranes at two captive sites","interactions":[],"lastModifiedDate":"2018-07-06T13:35:24","indexId":"70198001","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Photoperiod and nesting phenology of whooping cranes at two captive sites","docAbstract":"<p>Increasing daylight is known to be a breeding stimulus in many avian species breeding in northern latitudes. This is thought to be true for cranes that breed in such latitudes including the Whooping Crane (Grus americana). For this reason, the captive breeding centers use artificial light to lengthen daylight hours, but no study has been done to look at the effect of such lighting on the reproductive season. We examined the past light cycles and breeding season results from Whooping Crane pairs at USGS Patuxent Wildlife Research Center and the International Crane Foundation. At Patuxent two lights were used to produce light of 170 lux in the pens. On average, photoperiod lights were turned on Feb. 17 (range Feb. 11-24). With two lights per pen, whooping cranes laid their first egg on average 10 days earlier than when one light was used and 16 days earlier than when no lights were used. At ICF the difference between lights on a pen and no lights was only 8 days difference in first lay dates, but still this was statistically significant.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the North American Crane Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"North American Crane Workshop","conferenceDate":"April 14-17, 2014","conferenceLocation":"Lafayette, LA","language":"English","publisher":"North American Crane Working Group","usgsCitation":"Olsen, G.H., 2016, Photoperiod and nesting phenology of whooping cranes at two captive sites, <i>in</i> Proceedings of the North American Crane Workshop, Lafayette, LA, April 14-17, 2014, p. 98-102.","productDescription":"5 p.","startPage":"98","endPage":"102","ipdsId":"IP-085009","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":355533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355532,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nacwg.org/proceedings13.html","linkFileType":{"id":5,"text":"html"}}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e8e9e4b060350a15d339","contributors":{"authors":[{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":739553,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194032,"text":"70194032 - 2016 - Animated tectonic reconstruction of the Lower Colorado River region: Implications for Late Miocene to Present deformation","interactions":[],"lastModifiedDate":"2017-12-11T15:18:00","indexId":"70194032","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Animated tectonic reconstruction of the Lower Colorado River region: Implications for Late Miocene to Present deformation","docAbstract":"Although the majority of late Miocene to present Pacific-North America plate boundary strain has been accommodated by faults of the San Andreas and Gulf of California systems, growing evidence of dextral shear east of the San Andreas Fault indicates that a component of plate boundary deformation occurred in the lower Colorado River (LoCR) region. Large-scale tectonic reconstructions across the Gulf of California and Salton Trough (GCAST) region (Fig. 1), a ~500 km-wide zone of deformation that affected the western margin of North America, provide important constraints on the location, timing, style, and magnitude of crustal deformation in the LoCR region (Fig. 2). Characterizing Miocene to present deformation in the LoCR region is important to resolve the presence and kinematics of upper crustal structures that accommodated intracontinental strain and improves our understanding of the processes that promoted localized or diffuse strain during reorganization of the Pacific-North America plate boundary.\nMap-view translations of crustal blocks influence the relative motions of adjacent blocks, an approach adhered to in global plate-circuit models (Atwater and Stock, 1998; 2013). Thus, a synthesis of the magnitude and timing of horizontal strain across a broad zone of distributed deformation can provide insight into processes of strain partitioning and potential kinematic links between adjacent structural domains. Furthermore, it can help prioritize and guide future work by identifying gaps in our understanding of plate boundary deformation and provide a degree of predictability for palinspastic reconstructions in areas where little information exists. At present, detailed geologic studies of crustal deformation related to the Pacific-North America plate boundary in the LoCR region are limited, leading to considerable uncertainty in the late Cenozoic tectonic evolution of the region. This uncertainty limits our understanding of how plate coupling evolves during the transition from a convergent margin to a transform margin.\nIn this paper, we utilize animated palinspastic fault-based reconstructions to evaluate the tectonic evolution of the LoCR region and to examine potential inconsistencies of the spatio-temporal evolution of the late Cenozoic Pacific-North America plate boundary. Based on revised palinspastic reconstructions and remaining inconsistencies, we hypothesize that (1) late Miocene transtensional faulting related to the Gulf of California shear zone and eastern California shear zone promoted tectonic subsidence in the LoCR region that permitted the subsequent southward lake spillover of the Colorado River and connection with the northern Gulf of California, (2) distributed Pliocene transtensional faulting likely occurred within the southern LoCR region, and is presently unaccounted for in most studies of geologic units related to the Pliocene Colorado River, and (3) the Chocolate Mountains anticlinorium can be reconstructed to a broadly linear, E-W-oriented structure at ca. 11 Ma, consistent with reconstruction of several other strain markers along the southern San Andreas Fault system.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Going LOCO Investigations along the Lower Colorado River - 2016 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Bennett, S.E., Darin, M.H., Dorsey, R.J., Skinner, L.A., Umhoefer, P.J., and Oskin, M.E., 2016, Animated tectonic reconstruction of the Lower Colorado River region: Implications for Late Miocene to Present deformation, <i>in</i> Going LOCO Investigations along the Lower Colorado River - 2016 Desert Symposium Field Guide and Proceedings, p. 73-86.","productDescription":"14 p.","startPage":"73","endPage":"86","ipdsId":"IP-073735","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":349927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348753,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/"}],"country":"United States","otherGeospatial":"Lower Colorado River","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd87e4b06e28e9c24fa8","contributors":{"authors":[{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":721946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darin, Michael H.","contributorId":200333,"corporation":false,"usgs":false,"family":"Darin","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":721947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":721948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, Lisa A.","contributorId":200334,"corporation":false,"usgs":false,"family":"Skinner","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Umhoefer, Paul J.","contributorId":200335,"corporation":false,"usgs":false,"family":"Umhoefer","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721951,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193145,"text":"70193145 - 2016 - Effects of a growth check on daily age estimates of age-0 alligator gar ","interactions":[],"lastModifiedDate":"2017-11-21T13:22:30","indexId":"70193145","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Effects of a growth check on daily age estimates of age-0 alligator gar ","docAbstract":"<p>Accurate age and growth information is essential for a complete knowledge of life history, growth rates, age at sexual maturity, and average life span in fishes. Alligator gar are becoming increasingly managed throughout their range and because this species spawns in backwater flooded areas, their offspring are prone to stranding in areas with limited prey, potentially affecting their growth. Because fish growth is tightly linked with otolith growth and annulus formation, the ability to discern marks not indicative of annuli (age checks) in alligator gar would give managers some insight when estimating ages. Previous studies have suggested that checks are often present prior to the first annulus in otoliths of alligator gar, affecting age estimates. We investigated check formation in otoliths of alligator gar in relation to growth and food availability. Sixteen age-0 alligator gar were marked with oxytetracycline (OTC) to give a reference point and divided equitably into two groups: a control group with abundant prey and an experimental group with limited prey. The experimental group was given 2 g of food per week for 20 days and then given the same prey availability as the control group for the next 20 days. After 40 days, the gar were measured, sacrificed, and their sagittae removed to determine if checks were present. Checks were visible on 14 of the 16 otoliths in the experimental group, associated with low growth during the first 20 days when prey was limited and accelerated growth after prey availability was increased. No checks were observed on otoliths of the control group, where growth and prey availability were consistent. Age estimates of fish in the control group were more accurate than those in the experimental group, showing that fish growth as a function of prey availability likely induced the checks by compressing daily ring formation.</p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Snow, R.A., and Long, J.M., 2016, Effects of a growth check on daily age estimates of age-0 alligator gar : Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 3, p. 6-10.","productDescription":"5 p.","startPage":"6","endPage":"10","ipdsId":"IP-064928","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fbb","contributors":{"authors":[{"text":"Snow, Richard A.","contributorId":176213,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":723057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718093,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70170107,"text":"70170107 - 2016 - Status of pelagic prey fishes in Lake Michigan, 2015","interactions":[],"lastModifiedDate":"2017-04-21T10:57:35","indexId":"70170107","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Status of pelagic prey fishes in Lake Michigan, 2015","docAbstract":"<p>Acoustic surveys were conducted in late summer/early fall during the years 1992-1996 and 2001-2015 to estimate pelagic prey fish biomass in Lake Michigan. Midwater trawling during the surveys as well as target strength provided a measure of species and size composition of the fish community for use in scaling acoustic data and providing species-specific abundance estimates. The 2015 survey consisted of 27 acoustic transects (580 km total) and 31 midwater trawl tows. Four additional transects were sampled in Green Bay but were not included in lakewide estimates. Mean prey fish biomass was 4.2 kg/ha [20.3 kilotonnes (kt = 1,000 metric tons)], equivalent to 44.8 million pounds, which was 36% lower than in 2014 (31.7 kt) and 17% of the long-term (20 years) mean. The numeric density of the 2015 alewife yearclass was 25% of the time series average and nearly 9 times the 2014 density. This year-class contributed 8% of total alewife biomass (3.4 kg/ha). In 2015, alewife comprised 82.5% of total prey fish biomass, while rainbow smelt and bloater were &lt;1% and 16.9% of total biomass, respectively. Rainbow smelt biomass in 2015 (0.02 kg/ha) was 74% lower than in 2014, &lt;1% of the long-term mean, and lower than in any previous year. Bloater biomass in 2015 was 0.7 kg/ha and 8% of the long-term mean. Mean density of small bloater in 2015 (489 fish/ha) was slightly lower than peak values observed in 2008-2009 but was more than three times the time series mean (142 fish/ha). </p>","largerWorkTitle":"Compiled reports to the Great Lake Fishery Commission of the annual bottom trawl and acoustics surveys, 2015","language":"English","publisher":"Great Lakes Science Center","usgsCitation":"Warner, D.M., Claramunt, R., Farha, S., Hanson, D., Desorcie, T.J., and O’Brien, T.P., 2016, Status of pelagic prey fishes in Lake Michigan, 2015, 10 p.","productDescription":"10 p.","startPage":"64","endPage":"73","ipdsId":"IP-073971","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340077,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fb1a4ee4b0c3010a8087cd","contributors":{"authors":[{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":626210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Claramunt, Randall M.","contributorId":19047,"corporation":false,"usgs":true,"family":"Claramunt","given":"Randall M.","affiliations":[],"preferred":false,"id":692399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":692400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Dale","contributorId":43676,"corporation":false,"usgs":true,"family":"Hanson","given":"Dale","affiliations":[],"preferred":false,"id":692401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Desorcie, Timothy J. 0000-0002-9965-1668 tdesorcie@usgs.gov","orcid":"https://orcid.org/0000-0002-9965-1668","contributorId":3672,"corporation":false,"usgs":true,"family":"Desorcie","given":"Timothy","email":"tdesorcie@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":692402,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":692403,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70170024,"text":"70170024 - 2016 - Status and trends of the Lake Huron offshore demersal fish community, 1976-2015","interactions":[],"lastModifiedDate":"2017-04-21T14:28:01","indexId":"70170024","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Status and trends of the Lake Huron offshore demersal fish community, 1976-2015","docAbstract":"<p>The USGS Great Lakes Science Center has conducted trawl surveys to assess annual changes in the offshore demersal fish community of Lake Huron since 1973. Sample sites include five ports in U.S. waters with less frequent sampling near Goderich, Ontario. The 2015 fall bottom trawl survey was carried out between 14 and 28 October and included all U.S. ports, as well as Goderich, ON. The 2015 main basin prey fish biomass estimate for Lake Huron was 19.4 kilotonnes, a decline of about 50 percent from 2014. This estimate is the second lowest in the time series, and is approximately 5 percent of the maximum estimate in the time series observed in 1987. No adult alewife were collected in 2015 and YOY alewife was the second lowest in the time series, up slightly from the record low in 2014. The estimated biomass of yearling and older rainbow smelt also decreased and was the lowest observed in the time series. Estimated adult bloater biomass in Lake Huron declined to about half of the 2014 estimate. YOY alewife, rainbow smelt, and bloater abundance and biomass decreased over 2014. Biomass estimates for deepwater sculpins declined while trout-perch and ninespine stickleback increased over 2014 values, but all remained low compared to historic estimates. The 2014 biomass estimate for round goby increased from 2014 but remains at only 7 percent of the maximum observed in 2003. Wild juvenile lake trout were captured again in 2015, suggesting that natural reproduction by lake trout continues to occur. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled reports to the Great Lakes Fishery Commission of the annual bottom trawl and acoustics surveys, 2015","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Science Center","usgsCitation":"Roseman, E.F., Chriscinske, M.A., Castle, D., and Prichard, C.G., 2016, Status and trends of the Lake Huron offshore demersal fish community, 1976-2015, 13 p.","productDescription":"13 p.","startPage":"51","endPage":"63","ipdsId":"IP-073261","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fb1a4ee4b0c3010a8087cf","contributors":{"authors":[{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":625898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chriscinske, Margret Ann 0000-0002-9930-0630 mchriscinske@usgs.gov","orcid":"https://orcid.org/0000-0002-9930-0630","contributorId":4416,"corporation":false,"usgs":true,"family":"Chriscinske","given":"Margret","email":"mchriscinske@usgs.gov","middleInitial":"Ann","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":625899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castle, Dana Kristina dcastle@usgs.gov","contributorId":5750,"corporation":false,"usgs":true,"family":"Castle","given":"Dana Kristina","email":"dcastle@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":625900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prichard, Carson G. cprichard@usgs.gov","contributorId":168429,"corporation":false,"usgs":true,"family":"Prichard","given":"Carson","email":"cprichard@usgs.gov","middleInitial":"G.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":625901,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192008,"text":"70192008 - 2016 - The leatherback turtle: Biology and conservation","interactions":[],"lastModifiedDate":"2017-11-28T11:52:26","indexId":"70192008","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"The leatherback turtle: Biology and conservation","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Herpetological Review","usgsCitation":"Carthy, R.R., 2016, The leatherback turtle: Biology and conservation: Herpetological Review, v. 47, no. 4, p. 703-705.","productDescription":"3 p.","startPage":"703","endPage":"705","ipdsId":"IP-077338","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fd9","contributors":{"authors":[{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713835,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169860,"text":"70169860 - 2016 - Status and trends in the Lake Superior fish community, 2015","interactions":[],"lastModifiedDate":"2018-03-28T13:37:53","indexId":"70169860","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Status and trends in the Lake Superior fish community, 2015","docAbstract":"<p>In 2015, the Lake Superior fish community was sampled with daytime bottom trawls at 76 nearshore and 33 offshore stations. Spring and summer water temperatures in 2015 were colder than average, but warmer than that observed in 2014. In the nearshore zone, a total of 11,882 individuals from 22 species or morphotypes were collected. Nearshore lakewide mean biomass was 1.8 kg/ha, which was near the lowest biomass on record for this survey since it began in 1978. In the offshore zone, a total 12,433 individuals from 8 species or morphotypes were collected lakewide. Offshore lakewide mean biomass was 5.9 kg/ha. The mean of the four previous years was 7.1 kg/ha. The abundance of age-1 Cisco was 14.3 fish/ha which was similar to that measured in 2009. We collected larval Coregonus in surface trawls at 94 locations and estimated a nearshore lakewide average density of 1,459 fish/ha which was nearly twice that measured in 2014.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled reports to the Great Lakes Fishery Commission of the annual bottom trawl and acoustics surveys, 2015","largerWorkSubtype":{"id":6,"text":"USGS Unnumbered Series"},"language":"English","publisher":"U.S. Geological Survey, Great Lakes Science Center","usgsCitation":"Vinson, M., Evrard, L.M., Gorman, O.T., and Yule, D.L., 2016, Status and trends in the Lake Superior fish community, 2015, 11 p.","productDescription":"11 p.","startPage":"10","endPage":"20","ipdsId":"IP-073667","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352850,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.glsc.usgs.gov/products/reports/1302400464"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.320068359375,\n              46.50973514453876\n            ],\n            [\n              -84.35028076171875,\n              46.534303278597505\n            ],\n            [\n              -84.4189453125,\n              46.53052428878426\n            ],\n            [\n              -84.4793701171875,\n              46.49650154751426\n            ],\n            [\n              -84.52606201171875,\n              46.51918574163987\n            ],\n            [\n              -84.5562744140625,\n              46.549416608392264\n            ],\n            [\n              -84.5452880859375,\n              46.581518465658014\n            ],\n            [\n              -84.4793701171875,\n              46.63623661551964\n            ],\n            [\n              -84.37225341796875,\n              46.68901548485151\n            ],\n            [\n              -84.4354248046875,\n              46.77749276376827\n            ],\n            [\n              -84.50408935546875,\n              46.794418663019734\n            ],\n            [\n              -84.46563720703125,\n              46.81133924039194\n            ],\n            [\n              -84.40521240234375,\n              46.80193957664001\n            ],\n            [\n              -84.364013671875,\n              46.822616668804926\n            ],\n            [\n              -84.31732177734375,\n              46.86394700508323\n            ],\n            [\n              -84.37774658203125,\n              46.93526088057719\n            ],\n            [\n              -84.4354248046875,\n              46.95588666908011\n            ],\n            [\n              -84.50958251953125,\n              46.96900803311957\n            ],\n            [\n              -84.63043212890625,\n              46.976504510552\n            ],\n            [\n              -84.7540283203125,\n              46.9989876381546\n            ],\n            [\n              -84.74029541015625,\n              47.040182144806664\n            ],\n            [\n              -84.68536376953125,\n              47.09630525444073\n            ],\n            [\n              -84.66339111328125,\n              47.16730970131578\n            ],\n            [\n              -84.61395263671875,\n              47.2270293988673\n            ],\n            [\n              -84.55352783203125,\n              47.26991141830741\n            ],\n            [\n              -84.54254150390625,\n              47.32951560950956\n            ],\n            [\n              -84.59197998046875,\n              47.39463076190644\n            ],\n            [\n              -84.715576171875,\n              47.470806305936264\n            ],\n            [\n              -84.84466552734375,\n              47.53203824675999\n            ],\n            [\n              -84.91333007812499,\n              47.56355410390806\n            ],\n            [\n              -84.97650146484375,\n              47.63023101663225\n            ],\n            [\n              -84.957275390625,\n              47.69497434186282\n            ],\n            [\n              -84.90234375,\n              47.755944512091666\n            ],\n            [\n              -84.85015869140625,\n              47.80024163283363\n            ],\n            [\n              -84.87213134765625,\n              47.838970656475674\n            ],\n            [\n              -84.81719970703125,\n              47.879512933970496\n            ],\n            [\n              -84.7869873046875,\n              47.942106827553026\n            ],\n            [\n              -84.8089599609375,\n              47.98256841921405\n            ],\n            [\n              -85.0067138671875,\n              47.99727386804474\n            ],\n            [\n              -85.11383056640625,\n              47.99727386804474\n            ],\n            [\n              -85.242919921875,\n              47.989921667414194\n            ],\n            [\n              -85.33905029296875,\n              47.98440682947526\n            ],\n            [\n              -85.4241943359375,\n              47.951305426762616\n            ],\n            [\n              -85.58349609375,\n              47.951305426762616\n            ],\n            [\n              -85.6988525390625,\n              47.956823800497475\n            ],\n            [\n              -85.91033935546875,\n              48.026672195436014\n            ],\n            [\n              -85.97351074218749,\n              48.10926514749487\n            ],\n            [\n              -86.02294921875,\n              48.16974908365419\n            ],\n            [\n              -86.08612060546875,\n              48.2155228106753\n            ],\n            [\n              -86.1492919921875,\n              48.328865239704655\n            ],\n            [\n              -86.16851806640624,\n              48.39456162202509\n            ],\n            [\n              -86.1822509765625,\n              48.45653041501911\n            ],\n            [\n              -86.20697021484375,\n              48.50932644976633\n            ],\n            [\n              -86.21246337890625,\n              48.574789910928864\n            ],\n            [\n              -86.23992919921875,\n              48.63290858589535\n            ],\n            [\n              -86.32507324218749,\n              48.739889600673365\n            ],\n            [\n              -86.41021728515624,\n              48.79058074474321\n            ],\n            [\n              -86.54205322265625,\n              48.81590713080018\n            ],\n            [\n              -86.73431396484375,\n              48.83941303819501\n            ],\n            [\n              -86.89361572265624,\n              48.83760528293373\n            ],\n            [\n              -86.99523925781249,\n              48.86471476180277\n            ],\n            [\n              -87.08587646484375,\n              48.85206549830757\n            ],\n            [\n              -87.18475341796875,\n              48.850258199721495\n            ],\n            [\n              -87.29736328125,\n              48.850258199721495\n            ],\n            [\n              -87.4127197265625,\n              48.850258199721495\n            ],\n            [\n              -87.54730224609375,\n              48.90805939965008\n            ],\n            [\n              -87.64068603515625,\n              48.91888968903368\n            ],\n            [\n              -87.7313232421875,\n              48.935130721045326\n            ],\n            [\n              -87.82196044921874,\n              48.95497369808868\n            ],\n            [\n              -87.89886474609375,\n              48.97300592158682\n            ],\n            [\n              -87.96203613281249,\n              49.00364573861305\n            ],\n            [\n              -87.9949951171875,\n              49.03786794532644\n            ],\n            [\n              -88.10211181640624,\n              49.03966846228119\n            ],\n            [\n              -88.20373535156249,\n              49.023461463214126\n            ],\n            [\n              -88.2696533203125,\n              49.01085236926211\n            ],\n            [\n              -88.32733154296875,\n              48.96939999849952\n            ],\n            [\n              -88.31085205078125,\n              48.91166975698412\n            ],\n            [\n              -88.25042724609374,\n              48.8032455364465\n            ],\n            [\n              -88.2861328125,\n              48.80686346108517\n            ],\n            [\n              -88.34381103515624,\n              48.857487002645485\n            ],\n            [\n              -88.42071533203125,\n              48.87555444355432\n            ],\n            [\n              -88.48114013671875,\n              48.855679899769\n            ],\n            [\n              -88.52508544921875,\n              48.832181625698475\n            ],\n            [\n              -88.57452392578125,\n              48.76705193388751\n            ],\n            [\n              -88.58551025390624,\n              48.70727541512677\n            ],\n            [\n              -88.60198974609375,\n              48.669198799260045\n            ],\n            [\n              -88.6376953125,\n              48.62020084032983\n            ],\n            [\n              -88.670654296875,\n              48.60204136700653\n            ],\n            [\n              -88.75030517578125,\n              48.59477574898104\n            ],\n            [\n              -88.87115478515625,\n              48.57842428752037\n            ],\n            [\n              -89.16778564453125,\n              48.50386733939323\n            ],\n            [\n              -89.23919677734375,\n              48.454708881876854\n            ],\n            [\n              -89.33807373046875,\n              48.32703913063476\n            ],\n            [\n              -89.38201904296875,\n              48.22284281261854\n            ],\n            [\n              -89.40673828125,\n              48.13126755117026\n            ],\n            [\n              -89.5440673828125,\n              48.065232067568\n            ],\n            [\n              -89.64019775390625,\n              48.01013769851873\n            ],\n            [\n              -89.74731445312499,\n              47.96785877999251\n            ],\n            [\n              -89.83245849609375,\n              47.90161354142077\n            ],\n            [\n              -89.98626708984375,\n              47.86293128876346\n            ],\n            [\n              -90.274658203125,\n              47.79839667295524\n            ],\n            [\n              -90.4119873046875,\n              47.76517619125415\n            ],\n            [\n              -90.50537109375,\n              47.73562905149295\n            ],\n            [\n              -90.60699462890625,\n              47.69867153529717\n            ],\n            [\n              -90.72509765625,\n              47.6524377737497\n            ],\n            [\n              -90.86517333984375,\n              47.59505101193038\n            ],\n            [\n              -90.97503662109375,\n              47.537601245618134\n            ],\n            [\n              -91.12884521484375,\n              47.44666502261753\n            ],\n            [\n              -91.30462646484375,\n              47.299721913179944\n            ],\n            [\n              -91.41998291015625,\n              47.23262467463881\n            ],\n            [\n              -91.59576416015625,\n              47.10378387099161\n            ],\n            [\n              -91.73309326171875,\n              47.00835281693705\n            ],\n            [\n              -91.91436767578124,\n              46.93901161506044\n            ],\n            [\n              -92.16156005859375,\n              46.79253827035982\n            ],\n            [\n              -92.1148681640625,\n              46.70973594407157\n            ],\n            [\n              -92.032470703125,\n              46.65132155014943\n            ],\n            [\n              -91.90887451171875,\n              46.62869257083747\n            ],\n            [\n              -91.73858642578125,\n              46.6701718034738\n            ],\n            [\n              -91.61773681640625,\n              46.70031853924921\n            ],\n            [\n              -91.47491455078125,\n              46.73421350813988\n            ],\n            [\n              -91.31011962890625,\n              46.76996843356982\n            ],\n            [\n              -91.20025634765625,\n              46.80945943904218\n            ],\n            [\n              -91.1151123046875,\n              46.837649560937464\n            ],\n            [\n              -90.99700927734375,\n              46.87709089874478\n            ],\n            [\n              -90.90911865234374,\n              46.90712199744459\n            ],\n            [\n              -90.86242675781249,\n              46.91837932415156\n            ],\n            [\n              -90.823974609375,\n              46.899615799267245\n            ],\n            [\n              -90.84320068359375,\n              46.862069043222895\n            ],\n            [\n              -90.88714599609375,\n              46.803819640791566\n            ],\n            [\n              -90.911865234375,\n              46.76996843356982\n            ],\n            [\n              -90.94207763671875,\n              46.71915170604123\n            ],\n            [\n              -91.01074218749999,\n              46.5720787149159\n            ],\n            [\n              -90.966796875,\n              46.538082005463075\n            ],\n            [\n              -90.86517333984375,\n              46.56641407568593\n            ],\n            [\n              -90.73333740234375,\n              46.60982785835103\n            ],\n            [\n              -90.71685791015625,\n              46.63435070293566\n            ],\n            [\n              -90.56304931640625,\n              46.581518465658014\n            ],\n            [\n              -90.49713134765625,\n              46.534303278597505\n            ],\n            [\n              -90.42572021484374,\n              46.534303278597505\n            ],\n            [\n              -90.3515625,\n              46.56263732086835\n            ],\n            [\n              -90.120849609375,\n              46.613601326659726\n            ],\n            [\n              -89.98077392578124,\n              46.65132155014943\n            ],\n            [\n              -89.89013671875,\n              46.69278343251575\n            ],\n            [\n              -89.84344482421875,\n              46.74927110475196\n            ],\n            [\n              -89.769287109375,\n              46.78689669816405\n            ],\n            [\n              -89.659423828125,\n              46.79629898997745\n            ],\n            [\n              -89.549560546875,\n              46.794418663019734\n            ],\n            [\n              -89.4342041015625,\n              46.822616668804926\n            ],\n            [\n              -89.307861328125,\n              46.85831292242506\n            ],\n            [\n              -89.21173095703125,\n              46.90899838277448\n            ],\n            [\n              -89.14306640625,\n              46.9446372241817\n            ],\n            [\n              -89.00848388671875,\n              46.95588666908011\n            ],\n            [\n              -88.912353515625,\n              47.01209842876063\n            ],\n            [\n              -88.85467529296875,\n              47.08321514774161\n            ],\n            [\n              -88.70086669921875,\n              47.16170753357782\n            ],\n            [\n              -88.52783203125,\n              47.22329888685773\n            ],\n            [\n              -88.450927734375,\n              47.3183449418758\n            ],\n            [\n              -88.3465576171875,\n              47.35184985856322\n            ],\n            [\n              -88.1817626953125,\n              47.4355191531953\n            ],\n            [\n              -88.13232421875,\n              47.43737696208075\n            ],\n            [\n              -87.95928955078125,\n              47.44480754169437\n            ],\n            [\n              -87.81097412109375,\n              47.4355191531953\n            ],\n            [\n              -87.83294677734375,\n              47.41136166853917\n            ],\n            [\n              -87.89886474609375,\n              47.41136166853917\n            ],\n            [\n              -87.98675537109375,\n              47.39463076190644\n            ],\n            [\n              -87.9949951171875,\n              47.349989032003215\n            ],\n            [\n              -88.0279541015625,\n              47.32393057095941\n            ],\n            [\n              -88.10211181640624,\n              47.286681888764214\n            ],\n            [\n              -88.14056396484375,\n              47.25686404408872\n            ],\n            [\n              -88.22296142578125,\n              47.217702626593784\n            ],\n            [\n              -88.2806396484375,\n              47.191578934752954\n            ],\n            [\n              -88.330078125,\n              47.12995075666307\n            ],\n            [\n              -88.363037109375,\n              47.09069560264967\n            ],\n            [\n              -88.4124755859375,\n              47.02895043138593\n            ],\n            [\n              -88.4674072265625,\n              46.976504510552\n            ],\n            [\n              -88.52783203125,\n              46.86019101567027\n            ],\n            [\n              -88.51409912109375,\n              46.79253827035982\n            ],\n            [\n              -88.516845703125,\n              46.74738913515841\n            ],\n            [\n              -88.50036621093749,\n              46.73044845188485\n            ],\n            [\n              -88.39324951171875,\n              46.781254534638606\n            ],\n            [\n              -88.330078125,\n              46.85079989251277\n            ],\n            [\n              -88.28338623046875,\n              46.882723010671945\n            ],\n            [\n              -88.28338623046875,\n              46.86394700508323\n            ],\n            [\n              -88.30810546875,\n              46.82637528602131\n            ],\n            [\n              -88.28887939453125,\n              46.80569963924226\n            ],\n            [\n              -88.21197509765624,\n              46.837649560937464\n            ],\n            [\n              -88.17901611328125,\n              46.878968335076856\n            ],\n            [\n              -88.12957763671875,\n              46.89210855010362\n            ],\n            [\n              -88.05816650390625,\n              46.89210855010362\n            ],\n            [\n              -87.95379638671874,\n              46.88647742351024\n            ],\n            [\n              -87.7972412109375,\n              46.85079989251277\n            ],\n            [\n              -87.71209716796874,\n              46.78313532151751\n            ],\n            [\n              -87.55279541015625,\n              46.67582559793001\n            ],\n            [\n              -87.42370605468749,\n              46.524855311033406\n            ],\n            [\n              -87.374267578125,\n              46.479482189368646\n            ],\n            [\n              -87.2259521484375,\n              46.464349400461124\n            ],\n            [\n              -87.09686279296874,\n              46.479482189368646\n            ],\n            [\n              -87.01995849609375,\n              46.5002829039397\n            ],\n            [\n              -86.95404052734375,\n              46.48893804576338\n            ],\n            [\n              -86.91009521484375,\n              46.41892578708076\n            ],\n            [\n              -86.81121826171875,\n              46.403776166694634\n            ],\n            [\n              -86.7645263671875,\n              46.44164232762498\n            ],\n            [\n              -86.71508789062499,\n              46.41513877649199\n            ],\n            [\n              -86.64642333984375,\n              46.40188216826328\n            ],\n            [\n              -86.58599853515625,\n              46.43217825300941\n            ],\n            [\n              -86.47613525390625,\n              46.5116253954379\n            ],\n            [\n              -86.32232666015625,\n              46.55697169564088\n            ],\n            [\n              -86.24267578125,\n              46.58906908309182\n            ],\n            [\n              -86.13006591796874,\n              46.60228013300284\n            ],\n            [\n              -85.7977294921875,\n              46.64377960861833\n            ],\n            [\n              -85.572509765625,\n              46.65320687122665\n            ],\n            [\n              -85.42694091796875,\n              46.649436163350245\n            ],\n            [\n              -85.3472900390625,\n              46.694667307773116\n            ],\n            [\n              -85.1275634765625,\n              46.73044845188485\n            ],\n            [\n              -85.05889892578125,\n              46.72291755083757\n            ],\n            [\n              -85.05615234375,\n              46.640008243515915\n            ],\n            [\n              -85.089111328125,\n              46.51540570001737\n            ],\n            [\n              -85.067138671875,\n              46.475699386607516\n            ],\n            [\n              -84.9957275390625,\n              46.45299704748289\n            ],\n            [\n              -84.9188232421875,\n              46.45299704748289\n            ],\n            [\n              -84.8309326171875,\n              46.43596408010131\n            ],\n            [\n              -84.75128173828125,\n              46.42460580983505\n            ],\n            [\n              -84.6990966796875,\n              46.45299704748289\n            ],\n            [\n              -84.649658203125,\n              46.437856895024204\n            ],\n            [\n              -84.638671875,\n              46.39998810407942\n            ],\n            [\n              -84.54254150390625,\n              46.411351502899215\n            ],\n            [\n              -84.45465087890625,\n              46.41513877649199\n            ],\n            [\n              -84.3695068359375,\n              46.45678142812658\n            ],\n            [\n              -84.320068359375,\n              46.50973514453876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0e9ee4b006455f2d61c2","contributors":{"authors":[{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":625357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evrard, Lori M. 0000-0001-8582-5818 levrard@usgs.gov","orcid":"https://orcid.org/0000-0001-8582-5818","contributorId":2720,"corporation":false,"usgs":true,"family":"Evrard","given":"Lori","email":"levrard@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":625358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":625359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, Daniel L. dyule@usgs.gov","contributorId":139525,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":625360,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169877,"text":"70169877 - 2016 - Managed island ecosystems","interactions":[],"lastModifiedDate":"2016-08-03T16:39:46","indexId":"70169877","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Managed island ecosystems","docAbstract":"<p>This long-anticipated reference and sourcebook for California&rsquo;s remarkable ecological abundance provides an integrated assessment of each major ecosystem type&mdash;its distribution, structure, function, and management. A comprehensive synthesis of our knowledge about this biologically diverse state, Ecosystems of California covers the state from oceans to mountaintops using multiple lenses: past and present, flora and fauna, aquatic and terrestrial, natural and managed. Each chapter evaluates natural processes for a specific ecosystem, describes drivers of change, and discusses how that ecosystem may be altered in the future. This book also explores the drivers of California&rsquo;s ecological patterns and the history of the state&rsquo;s various ecosystems, outlining how the challenges of climate change and invasive species and opportunities for regulation and stewardship could potentially affect the state&rsquo;s ecosystems. The text explicitly incorporates both human impacts and conservation and restoration efforts and shows how ecosystems support human well-being. Edited by two esteemed ecosystem ecologists and with overviews by leading experts on each ecosystem, this definitive work will be indispensable for natural resource management and conservation professionals as well as for undergraduate or graduate students of California&rsquo;s environment and curious naturalists.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystems of California","language":"English","publisher":"University of California Press","collaboration":"NPS","usgsCitation":"McEachern, K., Atwater, T., Collins, P.W., Faulkner, K.R., and Richards, D.V., 2016, Managed island ecosystems, chap. <i>of</i> Ecosystems of California, p. 755-778.","productDescription":"23 p.","startPage":"755","endPage":"778","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052604","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":326087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319562,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520278806"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315c7e4b006cb45558af0","contributors":{"authors":[{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":625426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwater, Tanya","contributorId":168311,"corporation":false,"usgs":false,"family":"Atwater","given":"Tanya","email":"","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":625427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Paul W.","contributorId":100793,"corporation":false,"usgs":false,"family":"Collins","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":7014,"text":"Department of Vertebrate Zoology, Santa Barbara Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":625428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faulkner, Kate R.","contributorId":127478,"corporation":false,"usgs":false,"family":"Faulkner","given":"Kate","email":"","middleInitial":"R.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":625429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Daniel V.","contributorId":168312,"corporation":false,"usgs":false,"family":"Richards","given":"Daniel","email":"","middleInitial":"V.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":625430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193166,"text":"70193166 - 2016 - A GIS model of habitat suitability for Solanum conocarpum (Solanaceae) in St. John, US Virgin Islands","interactions":[],"lastModifiedDate":"2017-11-20T15:42:39","indexId":"70193166","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5533,"text":"Caribbean Naturalist","onlineIssn":"2326-7119","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A GIS model of habitat suitability for <i>Solanum conocarpum</i> (Solanaceae) in St. John, US Virgin Islands","title":"A GIS model of habitat suitability for Solanum conocarpum (Solanaceae) in St. John, US Virgin Islands","docAbstract":"<p><i>Solanum conocarpum</i> (Solanaceae) (Marron Bacora) is a rare, dry-forest shrub endemic to the island of St. John, US Virgin Islands, considered for listing under the Endangered Species Act. Given its status as a species of conservation concern, we incorporated environmental characteristics of 3 observed populations and 5 additional known locations into a geographic information system (GIS) analysis to create a habitat-suitability model for the species on the island of St. John. Our model identified 1929.87 ha of highly suitable and moderately suitable habitat. Of these, 1161.20 ha (60.2%) occurred within the boundaries of Virgin Islands National Park. Our model provides spatial information on potential locations for future surveys and restoration sites for this endemic species of the US Virgin Islands.</p>","language":"English","publisher":"Caribbean Naturalist","usgsCitation":"Palumbo, M.D., Fleming, J.P., Monsegur, O.A., and Vilella, F., 2016, A GIS model of habitat suitability for Solanum conocarpum (Solanaceae) in St. John, US Virgin Islands: Caribbean Naturalist, v. 36, p. 1-10.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-078831","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24faf","contributors":{"authors":[{"text":"Palumbo, Matthew D.","contributorId":146265,"corporation":false,"usgs":false,"family":"Palumbo","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":722926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Jonathan P.","contributorId":200629,"corporation":false,"usgs":false,"family":"Fleming","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":722927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monsegur, Omar A.","contributorId":200630,"corporation":false,"usgs":false,"family":"Monsegur","given":"Omar","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718114,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192009,"text":"70192009 - 2016 - Assessing the potential for rainbow trout reproduction in tributaries of the Mountain Fork River below Broken Bow Dam, southeastern Oklahoma","interactions":[],"lastModifiedDate":"2018-01-25T14:52:57","indexId":"70192009","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5603,"text":"e-Research Paper","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"SRS–58","title":"Assessing the potential for rainbow trout reproduction in tributaries of the Mountain Fork River below Broken Bow Dam, southeastern Oklahoma","docAbstract":"Stocked trout (Salmonidae) in reservoir tailwater systems in the Southern United States have been shown to use tributary streams for spawning and rearing. The lower Mountain Fork of the Little River below Broken Bow Dam is one of two year-round tailwater trout fisheries in Oklahoma, and the only one with evidence of reproduction by stocked rainbow trout (Oncorhynchus mykiss). Whether stocked trout use tributaries in this system for spawning is unknown. Furthermore, an\ninventory of the resident fish communities in these tributaries is lacking. To address these gaps, we surveyed 10 tributaries, from intermittent through third order, for fishes during presumed spawning periods of rainbow trout; we used backpack electrofishing in February and April 2015 and 2016 to determine the composition of the fish assemblages and whether trout were present. Stocked adult trout were found in three tributaries in 2015; wild juvenile rainbow trout were found in Bee Branch in 2015 and in an intermittent tributary of Spillway Creek, just above the “Cold Hole,” in 2016. Fish assemblages were dominated by highland stonerollers (Campostoma spadiceum) in larger, wider systems and by orangebelly darters (Etheostoma radiosum) in smaller, narrower streams. These data fill an information gap in our understanding of small streams in the Ouachita Mountains, and they demonstrate that some streams are suitable for rainbow trout reproduction.","language":"English","publisher":"U.S. Department of Agriculture","usgsCitation":"Long, J.M., Starks, T.A., Farling, T., and Bastarache, R., 2016, Assessing the potential for rainbow trout reproduction in tributaries of the Mountain Fork River below Broken Bow Dam, southeastern Oklahoma: e-Research Paper SRS–58, 11 p.","productDescription":"11 p.","ipdsId":"IP-077629","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350627,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.srs.fs.usda.gov/pubs/rp/rp_srs058.pdf"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Mountain Fork River","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac5e4b06e28e9c9a8fa","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starks, Trevor A.","contributorId":145640,"corporation":false,"usgs":false,"family":"Starks","given":"Trevor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farling, Tyler","contributorId":201482,"corporation":false,"usgs":false,"family":"Farling","given":"Tyler","email":"","affiliations":[],"preferred":false,"id":725832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bastarache, Robert","contributorId":145764,"corporation":false,"usgs":false,"family":"Bastarache","given":"Robert","email":"","affiliations":[],"preferred":false,"id":725833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192136,"text":"70192136 - 2016 - Soil phosphorus cycling in tropical soils: An ultisol and oxisol perspective","interactions":[],"lastModifiedDate":"2018-02-12T13:45:58","indexId":"70192136","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Soil phosphorus cycling in tropical soils: An ultisol and oxisol perspective","docAbstract":"Phosphorus (P) is essential for life. It is the backbone of our DNA, provides energy for biological reactions, and is an integral component of cell membranes. As such, it is no surprise that P availability plays a strong role in regulating ecosystem structure and function (Wassen et al. 2005, Elser et al. 2007, Condit et al. 2013), and in determining our capacity to grow food for a burgeoning human population (Sharpley et al. 1997, Sims and Sharpley 2005, Lal 2009). Concerns that P supplies are insufficient to meet our species’ growing demands are on the rise (Richardson and Simpson 2011) and scientific and media outlets increasingly discuss P as an element worthy of our attention and concern (e.g., Cordell et al. 2009, Lougheed 2011, Edixhoven et al. 2013, Ulrich et al. 2013). Indeed, a number of groups are calling for the explicit stewardship of our planet’s P stocks (Schipper 2014, Withers et al. 2015). Yet a focus on P as a vital and limited resource is not new in the tropics, where an abundance of soils characterized by low P has resulted in a substantial, longstanding reliance on P inputs for tropical ecosystem function in both unmanaged and agriculture settings (Table 1, Figure 2; Sanchez 1976, Swap et al. 1992, Chadwick et al. 1999, Okin et al. 2004, Lal 2009). Indeed, there is a long history of cultivation in the tropics, where for thousands of years land management practices have included methods that effectively modify P availability for plant growth (e.g., Giardina et al. 2000, Lawrence and Schlesinger 2001, Vitousek et al. 2004, Lewis et al. 2015). Nevertheless, low soil fertility in tropical systems where fertilizer is scarce has enduringly been recognized as a major source of hunger and starvation (Sanchez and Buol 1975, Sanchez 2002, Sanchez and Swaminathan 2005).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Soil phosphorus","language":"English","publisher":"Taylor & Francis","doi":"10.1201/9781315372327-12","usgsCitation":"Reed, S.C., and Wood, T.E., 2016, Soil phosphorus cycling in tropical soils: An ultisol and oxisol perspective, chap. <i>of</i> Soil phosphorus, p. 247-283, https://doi.org/10.1201/9781315372327-12.","productDescription":"37 p.","startPage":"247","endPage":"283","ipdsId":"IP-073259","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":351493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5e9","contributors":{"authors":[{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":714364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Tana E.","contributorId":197805,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","middleInitial":"E.","affiliations":[],"preferred":false,"id":714365,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191997,"text":"70191997 - 2016 - Fishes of the Mississippi River","interactions":[],"lastModifiedDate":"2018-01-25T16:37:50","indexId":"70191997","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fishes of the Mississippi River","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fishery resources, environment, and conservation in the Mississippi and Yangtze (Changjiang) River Basins","language":"English","publisher":"American Fisheries Society","isbn":"978-1-934874-44-8","usgsCitation":"Schramm, H., Hatch, J.T., Hrabik, R.A., and Slack, W.T., 2016, Fishes of the Mississippi River, chap. <i>of</i> Fishery resources, environment, and conservation in the Mississippi and Yangtze (Changjiang) River Basins, p. 53-77.","productDescription":"25 p.","startPage":"53","endPage":"77","ipdsId":"IP-057805","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350631,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54084p/"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac7e4b06e28e9c9a908","contributors":{"authors":[{"text":"Schramm, Harold hschramm@usgs.gov","contributorId":149157,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatch, Jay T.","contributorId":201483,"corporation":false,"usgs":false,"family":"Hatch","given":"Jay","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":725837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrabik, Robert A.","contributorId":148008,"corporation":false,"usgs":false,"family":"Hrabik","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":725838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slack, William T.","contributorId":47512,"corporation":false,"usgs":true,"family":"Slack","given":"William","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":725839,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191865,"text":"70191865 - 2016 - Structural geometry of the Valley and Ridge and Plateaus provinces","interactions":[],"lastModifiedDate":"2023-08-10T18:06:24.765","indexId":"70191865","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Structural geometry of the Valley and Ridge and Plateaus provinces","docAbstract":"The Valley and Ridge physiographic province comprises\nthe area between the Blue Ridge province on the east and the\nAppalachian Plateau province on the west. The province consists\nof Paleozoic carbonate and clastic rocks that were folded and\nthrust faulted during the Alleghanian orogeny. The Appalachian Plateau\nprovince consists of mostly flat lying to gently dipping upper\nPaleozoic rocks, with the transition between these two provinces\ntypically being a gradual change from folded middle and upper\nPaleozoic clastic rocks to flat lying upper Paleozoic rocks in the\nsouth, to a faulted boundary in the north.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The geology of Virginia (Virginia Museum of Natural History Special Publication 18)","language":"English","publisher":"Virginia Museum of Natural History","isbn":"1-884549-3","usgsCitation":"Evans, M.A., Orndorff, R.C., and Henika, W.S., 2016, Structural geometry of the Valley and Ridge and Plateaus provinces, chap. <i>of</i> The geology of Virginia (Virginia Museum of Natural History Special Publication 18), p. 55-86.","productDescription":"32 p.","startPage":"55","endPage":"86","ipdsId":"IP-067294","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":351491,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351490,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.vmnh.net/research-collections/vmnh-scientific-publications/special-publications"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5ef","contributors":{"authors":[{"text":"Evans, Mark A.","contributorId":197411,"corporation":false,"usgs":false,"family":"Evans","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":713450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henika, William S.","contributorId":178188,"corporation":false,"usgs":false,"family":"Henika","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188069,"text":"70188069 - 2016 - Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2017-05-30T12:57:22","indexId":"70188069","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the U.S. Geological Survey","docAbstract":"<p><span>The U.S. Geological Survey (USGS) has begun the development of operational, 30-m resolution annual thematic land cover data to meet the needs of a variety of land cover data users. The Continuous Change Detection and Classification (CCDC) algorithm is being evaluated as the likely methodology following early trials. Data for training and testing of CCDC thematic maps have been provided by the USGS Land Cover Trends (LC Trends) project, which offers sample-based, manually classified thematic land cover data at 2755 probabilistically located sample blocks across the conterminous United States. These samples represent a high quality, well distributed source of data to train the Random Forest classifier invoked by CCDC. We evaluated the suitability of LC Trends data to train the classifier by assessing the agreement of annual land cover maps output from CCDC with output from the LC Trends project within 14 Landsat path/row locations across the conterminous United States. We used a small subset of circa 2000 data from the LC Trends project to train the classifier, reserving the remaining Trends data from 2000, and incorporating LC Trends data from 1992, to evaluate measures of agreement across time, space, and thematic classes, and to characterize disagreement. Overall agreement ranged from 75% to 98% across the path/rows, and results were largely consistent across time. Land cover types that were well represented in the training data tended to have higher rates of agreement between LC Trends and CCDC outputs. Characteristics of disagreement are being used to improve the use of LC Trends data as a continued source of training information for operational production of annual land cover maps.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs8100811","usgsCitation":"Pengra, B., Gallant, A.L., Zhu, Z., and Dahal, D., 2016, Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the U.S. Geological Survey: Remote Sensing, v. 8, no. 10, p. 1-33, https://doi.org/10.3390/rs8100811.","productDescription":"Article 811; 33 p.","startPage":"1","endPage":"33","ipdsId":"IP-075088","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8100811","text":"Publisher Index Page"},{"id":341848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-01","publicationStatus":"PW","scienceBaseUri":"592e84bae4b092b266f10d37","contributors":{"authors":[{"text":"Pengra, Bruce 0000-0003-2497-8284 bpengra@usgs.gov","orcid":"https://orcid.org/0000-0003-2497-8284","contributorId":5132,"corporation":false,"usgs":true,"family":"Pengra","given":"Bruce","email":"bpengra@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhe 0000-0001-8283-6407 zhezhu@usgs.gov","orcid":"https://orcid.org/0000-0001-8283-6407","contributorId":168792,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhe","email":"zhezhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696409,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169206,"text":"70169206 - 2016 - Exotic annual Bromus invasions: Comparisons among species and ecoregions in the western United States","interactions":[],"lastModifiedDate":"2021-04-22T19:05:35.176522","indexId":"70169206","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"Exotic annual <i>Bromus</i> invasions: Comparisons among species and ecoregions in the western United States","title":"Exotic annual Bromus invasions: Comparisons among species and ecoregions in the western United States","docAbstract":"<p><span>Exotic annual&nbsp;</span><i class=\"EmphasisTypeItalic \">Bromus</i><span>&nbsp;species are widely recognized for their potential to invade, dominate, and alter the structure and function of ecosystems. In this chapter, we summarize the invasion potential, ecosystem threats, and management strategies for different&nbsp;</span><i class=\"EmphasisTypeItalic \">Bromus</i><span>&nbsp;species within each of five ecoregions of the western United States. We characterize invasion potential and threats in terms of ecosystem resistance to&nbsp;</span><i class=\"EmphasisTypeItalic \">Bromus</i><span>&nbsp;invasion and ecosystem resilience to disturbance with an emphasis on the importance of fire regimes. We also explain how soil temperature and moisture regimes can be linked to patterns of resistance and resilience and provide a conceptual framework that can be used to evaluate the relative potential for invasion and ecological impact of the dominant exotic annual&nbsp;</span><i class=\"EmphasisTypeItalic \">Bromus</i><span>&nbsp;species in the western United States.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Exotic brome-grasses in arid and semiarid ecosystems of the western US","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-24930-8_2","usgsCitation":"Brooks, M.L., Brown, C.S., Chambers, J.C., D'Antonio, C., Keeley, J.E., and Belnap, J., 2016, Exotic annual Bromus invasions: Comparisons among species and ecoregions in the western United States, chap. <i>of</i> Exotic brome-grasses in arid and semiarid ecosystems of the western US, p. 11-60, https://doi.org/10.1007/978-3-319-24930-8_2.","productDescription":"50 p.","startPage":"11","endPage":"60","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064309","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-23","publicationStatus":"PW","scienceBaseUri":"57cfe8b3e4b04836416a0d82","contributors":{"authors":[{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":623331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Cynthia S.","contributorId":86095,"corporation":false,"usgs":true,"family":"Brown","given":"Cynthia","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":623332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, Jeanne C.","contributorId":92186,"corporation":false,"usgs":true,"family":"Chambers","given":"Jeanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":623333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"D'Antonio, Carla M.","contributorId":27992,"corporation":false,"usgs":false,"family":"D'Antonio","given":"Carla M.","affiliations":[],"preferred":false,"id":623334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":623335,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":623336,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191935,"text":"70191935 - 2016 - San Pedro River Aquifer Binational Report","interactions":[],"lastModifiedDate":"2023-12-20T21:24:11.302348","indexId":"70191935","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"San Pedro River Aquifer Binational Report","docAbstract":"<p>The United States and Mexico share waters in a number of hydrological basins and aquifers that cross the international boundary. Both countries recognize that, in a region of scarce water resources and expanding populations, a greater scientific understanding of these aquifer systems would be beneficial. In light of this, the Mexican and U.S. Principal Engineers of the International Boundary and Water Commission (IBWC) signed the “Joint Report of the Principal Engineers Regarding the Joint Cooperative Process United States-Mexico for the Transboundary Aquifer Assessment Program\" on August 19, 2009 (IBWC-CILA, 2009). This IBWC “Joint Report” serves as the framework for U.S.-Mexico coordination and dialogue to implement transboundary aquifer studies. The document clarifies several details about the program such as background, roles, responsibilities, funding, relevance of the international water treaties, and the use of information collected or compiled as part of the program. In the document, it was agreed by the parties involved, which included the IBWC, the Mexican National Water Commission (CONAGUA), the U.S. Geological Survey (USGS), and the Universities of Arizona and Sonora, to study two priority binational aquifers, one in the San Pedro River basin and the other in the Santa Cruz River basin. </p><p>This report focuses on the Binational San Pedro Basin (BSPB). Reasons for the focus on and interest in this aquifer include the fact that it is shared by the two countries, that the San Pedro River has an elevated ecological value because of the riparian ecosystem that it sustains, and that water resources are needed to sustain the river, existing communities, and continued development. This study describes the aquifer’s characteristics in its binational context; however, most of the scientific work has been undertaken for many years by each country without full knowledge of the conditions on the other side of the border. The general objective of this study is to use new and existing research to define the general hydrologic framework of the Binational San Pedro Aquifer (BSPA), to gather hydrogeological and other relevant data in preparation for future work such as an updated groundwater conceptual model and budget and to establish the basis for a binational numerical model. </p><p>The specific objectives are as follows:</p><p><ul><li>Understand the current state of knowledge with respect to climate, geology, soils, land cover, land use, and hydrology of the aquifer in its binational context;<br></li><li>Compile and create a database of scientific information from both countries;<br></li><li>Identify data gaps and identify what data would be necessary to update, in a subsequent phase, the hydrologic model of the aquifer system, including surface- and groundwater interactions on a binational level.<br></li></ul><p>The BSPB is one of the most studied basins in the region, and a database of publications has been compiled as part of this project. Previous studies include topics that range from geophysics and hydrogeology to biology and ecosystem services. The economic drivers on each side of the border are quite different. In the Arizona 4 portion of the basin military and tourism dominate while in the Sonoran portion, mining is the most important industry. Water management is also different in the two countries. In Mexico, primary authority for management of water resources devolves from the federal government. In the United States, primary authority rests with the states except in cases of interstate surface waters. Binational waters are not currently jointly managed by the two countries except in cases where treaties have been negotiated such as for the Rio Grande and Colorado Rivers. Thus, there is currently no binational coordination or treaty governing the management of groundwater. </p><p><br data-mce-bogus=\"1\"></p></p><p><br data-mce-bogus=\"1\"></p>","language":"English, Spanish","publisher":"International Boundary and Water Commission","usgsCitation":"Callegary, J.B., Minjarez Sosa, I., Tapia Villasenor, E.M., dos Santos, P., Monreal Saavedra, R., Grijalva Noriega, F., Huth, A.K., Gray, F., Scott, C.A., Megdal, S., Oroz Ramos, L.A., Rangel Medina, M., and Leenhouts, J.M., 2016, San Pedro River Aquifer Binational Report, 164 p.","productDescription":"164 p.","ipdsId":"IP-040472","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":350974,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346934,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.ibwc.gov/wp-content/uploads/2023/06/San_Pedro_Binational_Report_En_01122017.pdf","text":"Report (English)"},{"id":356921,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://www.ibwc.gov/wp-content/uploads/2023/06/San_Pedro_Binational_Report_ESP_Final_2016.pdf","text":"Report (Spanish)"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586dce4b00f54eb1d8206","contributors":{"authors":[{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minjarez Sosa, Ismael","contributorId":197571,"corporation":false,"usgs":false,"family":"Minjarez Sosa","given":"Ismael","email":"","affiliations":[],"preferred":false,"id":713753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tapia Villasenor, Elia Maria","contributorId":197572,"corporation":false,"usgs":false,"family":"Tapia Villasenor","given":"Elia","email":"","middleInitial":"Maria","affiliations":[],"preferred":false,"id":713754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"dos Santos, Placido","contributorId":197573,"corporation":false,"usgs":false,"family":"dos Santos","given":"Placido","email":"","affiliations":[],"preferred":false,"id":713755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monreal Saavedra, Rogelio","contributorId":197574,"corporation":false,"usgs":false,"family":"Monreal Saavedra","given":"Rogelio","email":"","affiliations":[],"preferred":false,"id":713756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grijalva Noriega, Franciso Javier","contributorId":197575,"corporation":false,"usgs":false,"family":"Grijalva Noriega","given":"Franciso Javier","affiliations":[],"preferred":false,"id":713757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huth, A. K.","contributorId":201613,"corporation":false,"usgs":false,"family":"Huth","given":"A.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":726574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":713758,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scott, C. A.","contributorId":201614,"corporation":false,"usgs":false,"family":"Scott","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713759,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Megdal, Sharon","contributorId":197577,"corporation":false,"usgs":false,"family":"Megdal","given":"Sharon","affiliations":[],"preferred":false,"id":713760,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oroz Ramos, L. A.","contributorId":201615,"corporation":false,"usgs":false,"family":"Oroz Ramos","given":"L.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":726575,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rangel Medina, Miguel","contributorId":197578,"corporation":false,"usgs":false,"family":"Rangel Medina","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":713762,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Leenhouts, James M. 0000-0001-5171-9240 leenhout@usgs.gov","orcid":"https://orcid.org/0000-0001-5171-9240","contributorId":225,"corporation":false,"usgs":true,"family":"Leenhouts","given":"James","email":"leenhout@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713761,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70191979,"text":"70191979 - 2016 - Estimating black bear density in New Mexico using noninvasive genetic sampling coupled with spatially explicit capture-recapture methods","interactions":[],"lastModifiedDate":"2018-01-26T14:15:01","indexId":"70191979","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-120-2016","title":"Estimating black bear density in New Mexico using noninvasive genetic sampling coupled with spatially explicit capture-recapture methods","docAbstract":"<p>During the 2004–2005 to 2015–2016 hunting seasons, the New Mexico Department of Game and Fish (NMDGF) estimated black bear abundance (Ursus americanus) across the state by coupling density estimates with the distribution of primary habitat generated by Costello et al. (2001). These estimates have been used to set harvest limits. For example, a density of 17 bears/100 km2 for the Sangre de Cristo and Sacramento Mountains and 13.2 bears/100 km2 for the Sandia Mountains were used to set harvest levels. The advancement and widespread acceptance of non-invasive sampling and mark-recapture methods, prompted the NMDGF to collaborate with the New Mexico Cooperative Fish and Wildlife Research Unit and New Mexico State University to update their density estimates for black bear populations in select mountain ranges across the state.</p><p>We established 5 study areas in 3 mountain ranges: the northern (NSC; sampled in 2012) and southern Sangre de Cristo Mountains (SSC; sampled in 2013), the Sandia Mountains (Sandias; sampled in 2014), and the northern (NSacs) and southern Sacramento Mountains (SSacs; both sampled in 2014). We collected hair samples from black bears using two concurrent non-invasive sampling methods, hair traps and bear rubs. We used a gender marker and a suite of microsatellite loci to determine the individual identification of hair samples that were suitable for genetic analysis. We used these data to generate mark-recapture encounter histories for each bear and estimated density in a spatially explicit capture-recapture framework (SECR). We constructed a suite of SECR candidate models using sex, elevation, land cover type, and time to model heterogeneity in detection probability and the spatial scale over which detection probability declines. We used Akaike’s Information Criterion corrected for small sample size (AICc) to rank and select the most supported model from which we estimated density.</p><p>We set 554 hair traps, 117 bear rubs and collected 4,083 hair samples. We identified 725 (367 M, 358 F) individuals; the sex ratio for each study area was approximately equal. Our density estimates varied within and among mountain ranges with an estimated density of 21.86 bears/100 km2 (95% CI: 17.83 – 26.80) for the NSC, 19.74 bears/100 km2 (95% CI: 13.77 – 28.30) in the SSC, 25.75 bears/100 km2 (95% CI: 13.22 – 50.14) in the Sandias, 21.86 bears/100 km2 (95% CI: 17.83 – 26.80) in the NSacs, and 16.55 bears/100 km2 (95% CI: 11.64 – 23.53) in the SSacs. Overall detection probability for hair traps and bear rubs, combined, was low across all study areas and ranged from 0.00001 to 0.02. We speculate that detection probabilities were affected by failure of some hair samples to produce a complete genotype due to UV degradation of DNA, and our inability to set and check some sampling devices due to wildfires in the SSC. Ultraviolet radiation levels are particularly high in New Mexico compared to other states where NGS methods have been used because New Mexico receives substantial amounts of sunshine, is relatively high in elevation (1,200 m – 4,000 m), and is at a lower latitude. Despite these sampling difficulties, we were able to produce density estimates for New Mexico black bear populations with levels of precision comparable to estimated black bear densities made elsewhere in the U.S.</p><p>Our ability to generate reliable black bear density estimates for 3 New Mexico mountain ranges is attributable to our use of a statistically robust study design and analytical method. There are multiple factors that need to be considered when developing future SECR-based density estimation projects. First, the spatial extent of the population of interest and the smallest average home range size must be determined; these will dictate size of the trapping array and spacing necessary between hair traps. The number of technicians needed and access to the study areas will also influence configuration of the trapping array. We believe shorter sampling occasions could be implemented to reduce degradation of DNA due to UV radiation; this might help increase amplification rates and thereby increase both the number of unique individuals identified and the number of recaptures, improving the precision of the density estimates. A pilot study may be useful to determine the length of time hair samples can remain in the field prior to collection. In addition, researchers may consider setting hair traps and bear rubs in more shaded areas (e.g., north facing slopes) to help reduce exposure to UV radiation. To reduce the sampling interval it will be necessary to either hire more field personnel or decrease the number of hair traps per sampling session. Both of these will enhance detection of long-range movement events by individual bears, increase initial capture and recapture rates, and improve precision of the parameter estimates. We recognize that all studies are constrained by limited resources, however, increasing field personnel would also allow a larger study area to be sampled or enable higher trap density.</p><p>In conclusion, we estimated the density of black bears in 5 study areas within 3 mountains ranges of New Mexico. Our estimates will aid the NMDGF in setting sustainable harvest limits. Along with estimates of density, information on additional demographic rates (e.g., survival rates and reproduction) and the potential effects that climate change and future land use may have on the demography of black bears may also help inform management of black bears in New Mexico, and may be considered as future areas for research.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Gould, M.J., Cain, J.W., Roemer, G.W., and Gould, W., 2016, Estimating black bear density in New Mexico using noninvasive genetic sampling coupled with spatially explicit capture-recapture methods: Cooperator Science Series FWS/CSS-120-2016, ii, 41 p.","productDescription":"ii, 41 p.","numberOfPages":"43","ipdsId":"IP-074771","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350701,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2132"}],"country":"United States","state":"New Mexico","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c96e4b06e28e9cabb0a","contributors":{"authors":[{"text":"Gould, Matthew J.","contributorId":201504,"corporation":false,"usgs":false,"family":"Gould","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roemer, Gary W.","contributorId":95355,"corporation":false,"usgs":true,"family":"Roemer","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":725972,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191988,"text":"70191988 - 2016 - Ecology and conservation of Lesser Prairie-Chickens","interactions":[],"lastModifiedDate":"2018-01-25T13:38:17","indexId":"70191988","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Ecology and conservation of Lesser Prairie-Chickens","docAbstract":"<p><span>Lesser Prairie-Chickens have experienced substantial declines in terms of population and the extent of area that they occupy. While they are an elusive species, making it difficult at times to monitor them, current evidence indicates that they have been persistently decreasing in number since the Dust Bowl of the 1930s dramatically affected their core range. In May of 2014, the United States Fish and Wildlife Service listed Lesser Prairie-Chickens as a threatened species, granting them federal protection under the Endangered Species Act, which included a special rule recognizing significant conservation planning efforts made by state and federal wildlife agencies within the geographical range of the species. Although the listing was vacated by judicial ruling in September 2015, concern for persistence of the species persists. These actions illustrate the uncertain legal status and future conservation challenges for Lesser Prairie-Chickens.</span></p>","language":"English","publisher":"CRC Press","isbn":"9781482240221","usgsCitation":"2016, Ecology and conservation of Lesser Prairie-Chickens, 376 p.","productDescription":"376 p.","ipdsId":"IP-059262","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350619,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Ecology-and-Conservation-of-Lesser-Prairie-Chickens/Haukos-Boal/p/book/9781482240221"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac7e4b06e28e9c9a910","contributors":{"editors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":725823,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":725824,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
]}