{"pageNumber":"411","pageRowStart":"10250","pageSize":"25","recordCount":40804,"records":[{"id":70193699,"text":"70193699 - 2017 - Using multiple data types and integrated population models to improve our knowledge of apex predator population dynamics","interactions":[],"lastModifiedDate":"2018-09-26T14:59:45","indexId":"70193699","displayToPublicDate":"2017-11-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using multiple data types and integrated population models to improve our knowledge of apex predator population dynamics","docAbstract":"<div id=\"en_main_abstract\" class=\"article-section__content mainAbstract\" lang=\"en\"><p>Current management of large carnivores is informed using a variety of parameters, methods, and metrics; however, these data are typically considered independently. Sharing information among data types based on the underlying ecological, and recognizing observation biases, can improve estimation of individual and global parameters. We present a general integrated population model (IPM), specifically designed for brown bears (<i>Ursus arctos</i>), using three common data types for bear (<i>U</i>. spp.) populations: repeated counts, capture–mark–recapture, and litter size. We considered factors affecting ecological and observation processes for these data. We assessed the practicality of this approach on a simulated population and compared estimates from our model to values used for simulation and results from count data only. We then present a practical application of this general approach adapted to the constraints of a case study using historical data available for brown bears on Kodiak Island, Alaska, USA. The IPM provided more accurate and precise estimates than models accounting for repeated count data only, with credible intervals including the true population 94% and 5% of the time, respectively. For the Kodiak population, we estimated annual average litter size (within one year after birth) to vary between 0.45 [95% credible interval: 0.43; 0.55] and 1.59 [1.55; 1.82]. We detected a positive relationship between salmon availability and adult survival, with survival probabilities greater for females than males. Survival probabilities increased from cubs to yearlings to dependent young ≥2&nbsp;years old and decreased with litter size. Linking multiple information sources based on ecological and observation mechanisms can provide more accurate and precise estimates, to better inform management. IPMs can also reduce data collection efforts by sharing information among agencies and management units. Our approach responds to an increasing need in bear populations’ management and can be readily adapted to other large carnivores.</p></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3469","usgsCitation":"Bled, F., Belant, J.L., Van Daele, L.J., Svoboda, N., Gustine, D.D., Hilderbrand, G., and Barnes, V.G., 2017, Using multiple data types and integrated population models to improve our knowledge of apex predator population dynamics: Ecology and Evolution, v. 7, no. 22, p. 9531-9543, https://doi.org/10.1002/ece3.3469.","productDescription":"13 p.","startPage":"9531","endPage":"9543","ipdsId":"IP-081752","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3469","text":"Publisher Index Page"},{"id":348202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"22","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"5a00314ce4b0531197b5a738","contributors":{"authors":[{"text":"Bled, Florent","contributorId":199765,"corporation":false,"usgs":false,"family":"Bled","given":"Florent","email":"","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":719972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":719973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Daele, Lawrence J.","contributorId":199766,"corporation":false,"usgs":false,"family":"Van Daele","given":"Lawrence","email":"","middleInitial":"J.","affiliations":[{"id":35600,"text":"Kodiak Wildlife Services, Kodiak, AK","active":true,"usgs":false}],"preferred":false,"id":719974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svoboda, Nathan","contributorId":199767,"corporation":false,"usgs":false,"family":"Svoboda","given":"Nathan","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":719975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":719971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnes, Victor G. Jr.","contributorId":95113,"corporation":false,"usgs":true,"family":"Barnes","given":"Victor","suffix":"Jr.","email":"","middleInitial":"G.","affiliations":[{"id":35655,"text":"Kodiak Brown Bear Trust, Westcliffe, CO","active":true,"usgs":false}],"preferred":false,"id":719976,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193710,"text":"70193710 - 2017 - Sediment deposition and sources into a Mississippi River floodplain lake; Catahoula Lake, Louisiana","interactions":[],"lastModifiedDate":"2017-11-03T10:56:17","indexId":"70193710","displayToPublicDate":"2017-11-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Sediment deposition and sources into a Mississippi River floodplain lake; Catahoula Lake, Louisiana","docAbstract":"<p>Floodplain lakes are important wetlands on many lowland floodplains of the world but depressional floodplain lakes are rare in the Mississippi River Alluvial Valley. One of the largest is Catahoula Lake, which has existed with seasonally fluctuating water levels for several thousand years but is now in an increasingly hydrologically altered floodplain. Woody vegetation has been encroaching into the lake bed and the rate of this expansion has increased since major human hydrologic modifications, such as channelization, levee construction, and dredging for improvement of navigation, but it remains unknown what role those modifications may have played in altering lake sedimentation processes. Profiles of thirteen <sup>137</sup>Cs sediment cores indicate sedimentation has been about 0.26&nbsp;cm&nbsp;y<sup>−&nbsp;1</sup> over the past 60&nbsp;years and has been near this rate since land use changes began about 200&nbsp;years ago (<sup>210</sup>Pb, and <sup>14</sup>C in Tedford, 2009). Carbon sequestration was low (10.4&nbsp;g&nbsp;m<sup>−&nbsp;2</sup>&nbsp;y<sup>−&nbsp;1</sup>), likely because annual drying promotes mineralization and export. Elemental composition (high Zr and Ti and low Ca and K) and low pH of recent (&lt;~60&nbsp;y) or surface sediments suggest Gulf Coastal Plain origin, but below the recent sediment deposits, 51% of sediment profiles showed influence of Mississippi River alluvium, rich in base cations such as K<sup>+</sup>, Ca<sup>2&nbsp;+</sup>, and Mg<sup>2&nbsp;+</sup>. The recent shift to dominance of Coastal Plain sediments on the lake-bed surface suggests hydrologic modification has disconnected the lake from sediment-bearing flows from the Mississippi River. Compared to its condition prior to hydrologic alterations that intensified in the 1930s, Catahoula Lake is about 15&nbsp;cm shallower and surficial sediments are more acidic. Although these results are not sufficient to attribute ecological changes directly to sedimentological changes, it is likely the altered sedimentary and hydrologic environment is contributing to the increased dominance of woody vegetation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2017.04.020","usgsCitation":"Latuso, K.D., Keim, R.F., King, S.L., Weindorf, D.C., and DeLaune, R.D., 2017, Sediment deposition and sources into a Mississippi River floodplain lake; Catahoula Lake, Louisiana: Catena, v. 156, p. 290-297, https://doi.org/10.1016/j.catena.2017.04.020.","productDescription":"8 p.","startPage":"290","endPage":"297","ipdsId":"IP-061448","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Catahoula Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.1697998046875,\n              31.42749129448044\n            ],\n            [\n              -92.04277038574219,\n              31.502458420817206\n            ],\n            [\n              -91.99607849121094,\n              31.552793227677334\n            ],\n            [\n              -91.99745178222656,\n              31.613626970322684\n            ],\n            [\n              -92.06748962402344,\n              31.610703179979982\n            ],\n            [\n              -92.12448120117188,\n              31.577950455417472\n            ],\n            [\n              -92.17666625976562,\n              31.52411741833466\n            ],\n            [\n              -92.22198486328125,\n              31.48313670206181\n            ],\n            [\n              -92.23915100097656,\n              31.454439514853256\n            ],\n            [\n              -92.22335815429688,\n              31.433350262414404\n            ],\n            [\n              -92.19863891601562,\n              31.42749129448044\n            ],\n            [\n              -92.1697998046875,\n              31.42749129448044\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"156","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fd8027e4b0531197b5013b","contributors":{"authors":[{"text":"Latuso, Karen D.","contributorId":113984,"corporation":false,"usgs":false,"family":"Latuso","given":"Karen","email":"","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":720022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keim, Richard F.","contributorId":117125,"corporation":false,"usgs":false,"family":"Keim","given":"Richard","email":"","middleInitial":"F.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":720023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weindorf, David C.","contributorId":140924,"corporation":false,"usgs":false,"family":"Weindorf","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":27688,"text":"Texas Tech University, Lubbock, TX 79409","active":true,"usgs":false}],"preferred":false,"id":720025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLaune, Ronald D.","contributorId":61581,"corporation":false,"usgs":false,"family":"DeLaune","given":"Ronald","email":"","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":720026,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191274,"text":"ofr20171122 - 2017 - Monitoring storm tide and flooding from Hurricane Matthew along the Atlantic coast of the United States, October 2016","interactions":[],"lastModifiedDate":"2017-11-02T13:40:33","indexId":"ofr20171122","displayToPublicDate":"2017-11-02T10:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1122","title":"Monitoring storm tide and flooding from Hurricane Matthew along the Atlantic coast of the United States, October 2016","docAbstract":"<h1>Introduction</h1><p>Hurricane Matthew moved adjacent to the coasts of Florida, Georgia, South Carolina, and North Carolina. The hurricane made landfall once near McClellanville, South Carolina, on October 8, 2016, as a Category 1 hurricane on the Saffir-Simpson Hurricane Wind Scale. The U.S. Geological Survey (USGS) deployed a temporary monitoring network of storm-tide sensors at 284 sites along the Atlantic coast from Florida to North Carolina to record the timing, areal extent, and magnitude of hurricane storm tide and coastal flooding generated by Hurricane Matthew. Storm tide, as defined by the National Oceanic and Atmospheric Administration, is the water-level rise generated by a combination of storm surge and astronomical tide during a coastal storm.</p><p>The deployment for Hurricane Matthew was the largest deployment of storm-tide sensors in USGS history and was completed as part of a coordinated Federal emergency response as outlined by the Stafford Act (Public Law 92–288, 42 U.S.C. 5121–5207) under a directed mission assignment by the Federal Emergency Management Agency. In total, 543 high-water marks (HWMs) also were collected after Hurricane Matthew, and this was the second largest HWM recovery effort in USGS history after Hurricane Sandy in 2012.</p><p>During the hurricane, real-time water-level data collected at temporary rapid deployment gages (RDGs) and long-term USGS streamgage stations were relayed immediately for display on the USGS Flood Event Viewer (<a href=\"https://stn.wim.usgs.gov/FEV/#MatthewOctober2016\" data-mce-href=\"https://stn.wim.usgs.gov/FEV/#MatthewOctober2016\">https://stn.wim.usgs.gov/FEV/#MatthewOctober2016</a>). These data provided emergency managers and responders with critical information for tracking flood-effected areas and directing assistance to effected communities. Data collected from this hurricane can be used to calibrate and evaluate the performance of storm-tide models for maximum and incremental water level and flood extent, and the site-specific effects of storm tide on natural and anthropogenic features of the environment.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171122","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Frantz, E.R., Byrne, M.J., Sr., Caldwell, A.W., and Harden, S.L., 2017, Monitoring storm tide and flooding from Hurricane Matthew along the Atlantic coast of the United States, October 2016: U.S. Geological Survey Open-File Report 2017–1122, 37 p., https://doi.org/10.3133/ofr20171122.","productDescription":"vi, 37 p.","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081187","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":347956,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1122/ofr20171122.pdf","text":"Report","size":"5.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1122"},{"id":347955,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1122/coverthb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.57421875,\n              36.56260003738545\n            ],\n            [\n              -78.50830078125,\n              35.585851593232356\n            ],\n            [\n              -79.69482421875,\n              34.903952965590065\n            ],\n            [\n              -81.9140625,\n              33.358061612778876\n            ],\n            [\n              -82.44140625,\n              31.70947636001935\n            ],\n            [\n              -82.7490234375,\n              30.713503990354965\n            ],\n            [\n              -82.0458984375,\n              28.998531814051795\n            ],\n            [\n              -81.2548828125,\n              27.00040800352175\n            ],\n            [\n              -81.650390625,\n              25.224820176765036\n            ],\n            [\n              -80.595703125,\n              24.666986385216273\n            ],\n            [\n              -79.3212890625,\n              25.20494115356912\n            ],\n            [\n              -79.4970703125,\n              26.96124577052697\n            ],\n            [\n              -79.82666015625,\n              27.994401411046148\n            ],\n            [\n              -80.26611328125,\n              29.592565403314087\n            ],\n            [\n              -80.35400390625,\n              31.259769987394286\n            ],\n            [\n              -78.57421875,\n              32.80574473290688\n            ],\n            [\n              -76.3330078125,\n              33.46810795527896\n            ],\n            [\n              -74.619140625,\n              34.397844946449865\n            ],\n            [\n              -73.32275390625,\n              36.56260003738545\n            ],\n            [\n              -78.57421875,\n              36.56260003738545\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_sc@usgs.gov\" data-mce-href=\"mailto:dc_sc@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br> U.S. Geological Survey<br> 720 Gracern Road<br> Columbia, SC 29210</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Introduction</li><li>Hurricane Matthew Storm-Tide Monitoring</li><li>Elevation Surveys</li><li>Data Presentation</li><li>References Cited</li><li>Tables&nbsp;2–5</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-11-02","noUsgsAuthors":false,"publicationDate":"2017-11-02","publicationStatus":"PW","scienceBaseUri":"59fc2ea0e4b0531197b27f73","contributors":{"authors":[{"text":"Frantz, Eric R. 0000-0002-1867-886X efrantz@usgs.gov","orcid":"https://orcid.org/0000-0002-1867-886X","contributorId":196863,"corporation":false,"usgs":true,"family":"Frantz","given":"Eric R.","email":"efrantz@usgs.gov","affiliations":[],"preferred":false,"id":711814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Michael J. Sr. 0000-0001-9190-2728 mbyrne@usgs.gov","orcid":"https://orcid.org/0000-0001-9190-2728","contributorId":959,"corporation":false,"usgs":true,"family":"Byrne","given":"Michael","suffix":"Sr.","email":"mbyrne@usgs.gov","middleInitial":"J.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":138690,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral W.","email":"acaldwel@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harden, Stephen L. 0000-0001-6886-0099 slharden@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-0099","contributorId":2212,"corporation":false,"usgs":true,"family":"Harden","given":"Stephen","email":"slharden@usgs.gov","middleInitial":"L.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711815,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210912,"text":"70210912 - 2017 - Towards a comprehensive water quality modeling of Barnegat Bay: Development of ROMS to WASP Coupler","interactions":[],"lastModifiedDate":"2022-01-20T18:28:25.074392","indexId":"70210912","displayToPublicDate":"2017-11-02T09:12:28","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Towards a comprehensive water quality modeling of Barnegat Bay: Development of ROMS to WASP Coupler","docAbstract":"<p>The Regional Ocean Modeling System (ROMS) has been coupled with the Water Quality Analysis Simulation Program (WASP) to be used in a comprehensive analysis of water quality in Barnegat Bay, New Jersey. The coupler can spatially aggregate hydrodynamic information in ROMS cells into larger WASP segments. It can also be used to resample ROMS output at a finer temporal scale to meet WASP time-stepping requirements. The coupler aggregates flow components, temperature, and salinity in ROMS output for input to WASP via a hydrodynamic linkage file. The coupler was tested initially with idealized cases designed to verify the water mass balance and conservation of constituent mass using one-to-one and one-to-many connectivity options between segments. A realistic example from the Toms River embayment, a subdomain of Barnegat Bay, was used to demonstrate the functionality of the coupling. A WASP eutrophication model accounting for dissolved oxygen (DO), nitrogen, and constant phytoplankton concentrations was applied to explore the distribution and trends in DO and nitrogen in the embayment for the period of July–August 2012. Results of DO modeling indicate satisfactory agreement with measurements collected at in-bay stations and also indicate that this coupled approach, despite substantial differences in spatiotemporal discretization between the models, provides adequate predictive capabilities.<br></p>","language":"English","publisher":"BioOne","doi":"10.2112/SI78-004.1","usgsCitation":"Define, Z., Spitz, F.J., DePaul, V.T., and Wool, T.A., 2017, Towards a comprehensive water quality modeling of Barnegat Bay: Development of ROMS to WASP Coupler: Journal of Coastal Research, v. 78, no. Spec issue 1, p. 34-45, https://doi.org/10.2112/SI78-004.1.","productDescription":"12 p.","startPage":"34","endPage":"45","ipdsId":"IP-079333","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469353,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/9456","text":"External Repository"},{"id":376091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.17556762695312,\n              39.65698468403725\n            ],\n            [\n              -74.15016174316406,\n              39.6834113242346\n            ],\n            [\n              -74.10758972167969,\n              39.7642140375156\n            ],\n            [\n              -74.09385681152344,\n              39.812755695478124\n            ],\n            [\n              -74.07806396484375,\n              39.93975130761637\n            ],\n            [\n              -74.12406921386719,\n              39.948174225938324\n            ],\n            [\n              -74.1522216796875,\n              39.93711893299021\n            ],\n            [\n              -74.10140991210938,\n              39.92606185382841\n            ],\n            [\n              -74.13848876953125,\n              39.90762941952987\n            ],\n            [\n              -74.15496826171874,\n              39.87338459498892\n            ],\n            [\n              -74.20372009277344,\n              39.796930657340724\n            ],\n            [\n              -74.21951293945312,\n              39.743098286948275\n            ],\n            [\n              -74.19273376464844,\n              39.70031906859748\n            ],\n            [\n              -74.21401977539062,\n              39.680240661158805\n            ],\n            [\n              -74.2181396484375,\n              39.66808510414671\n            ],\n            [\n              -74.17762756347656,\n              39.65116946667103\n            ],\n            [\n              -74.17556762695312,\n              39.65698468403725\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","issue":"Spec issue 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Define, Zafer","contributorId":228801,"corporation":false,"usgs":false,"family":"Define","given":"Zafer","email":"","affiliations":[],"preferred":false,"id":792106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spitz, Frederick J. 0000-0002-1391-2127 fspitz@usgs.gov","orcid":"https://orcid.org/0000-0002-1391-2127","contributorId":2777,"corporation":false,"usgs":true,"family":"Spitz","given":"Frederick","email":"fspitz@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":792104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wool, Tim A.","contributorId":228800,"corporation":false,"usgs":false,"family":"Wool","given":"Tim","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":792107,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191750,"text":"sir20175123 - 2017 - Flood-inundation maps for the White River at Noblesville, Indiana","interactions":[],"lastModifiedDate":"2017-11-06T09:55:58","indexId":"sir20175123","displayToPublicDate":"2017-11-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5123","title":"Flood-inundation maps for the White River at Noblesville, Indiana","docAbstract":"<p>Digital flood-inundation maps for a 7.5-mile reach of the White River at Noblesville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at <a href=\"https://water.usgs.gov/osw/flood_inundation/\" data-mce-href=\"https://water.usgs.gov/osw/flood_inundation/\">https://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the White River at Noblesville, Ind., streamgage (USGS station number 03349000). Real-time stages at this streamgage may be obtained from the USGS National Water Information System at <a href=\"https://waterdata.usgs.gov/nwis\" data-mce-href=\"https://waterdata.usgs.gov/nwis\">https://waterdata.usgs.gov/nwis</a> or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at <a href=\"http:/water.weather.gov/ahps/\" data-mce-href=\"http:/water.weather.gov/ahps/\">http:/water.weather.gov/ahps/</a>, which also forecasts flood hydrographs at the same site as the USGS streamgage (NWS site NBLI3).</p><p>Flood profiles were computed for the stream reach by means of a one-dimensional, step-backwater hydraulic modeling software developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated using the current (2016) stage-discharge rating at the USGS streamgage 03349000, White River at Noblesville, Ind., and documented high-water marks from the floods of September 4, 2003, and May 6, 2017. The hydraulic model was then used to compute 15 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum ranging from 10.0 ft (the NWS “action stage”) to 24.0 ft, which is the highest stage interval of the current (2016) USGS stage-discharge rating curve and 2 ft higher than the NWS “major flood stage.” The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.98-ft vertical accuracy and 4.9-ft horizontal resolution) to delineate the area flooded at each stage.</p><p>The availability of these maps, along with internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for postflood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175123","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Martin, Z.W., 2017, Flood-inundation maps for the White River at Noblesville, Indiana: U.S. Geological Survey Scientific Investigations Report 2017–5123, 11 p., https://doi.org/10.3133/sir20175123.","productDescription":"Report: vi, 11 p.; Data Release","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-086871","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":347858,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5123/sir20175123.pdf","text":"Report","size":"1.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5123"},{"id":347859,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7N0J","text":"USGS data release","description":"USGS Data Release","linkHelpText":"White River at Noblesville, Indiana, flood-inundation model and GIS data"},{"id":347857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5123/coverthb.jpg"}],"country":"United States","state":"Indiana","city":"Noblesville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.03616714477539,\n              40.033792168980135\n            ],\n            [\n              -85.95720291137695,\n              40.033792168980135\n            ],\n            [\n              -85.95720291137695,\n              40.10919420673381\n            ],\n            [\n              -86.03616714477539,\n              40.10919420673381\n            ],\n            [\n              -86.03616714477539,\n              40.033792168980135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_in@usgs.gov\" data-mce-href=\"mailto: dc_in@usgs.gov\">Director</a>, <a href=\"https://in.water.usgs.gov/\" data-mce-href=\"https://in.water.usgs.gov/\">Ohio-Kentucky-Indiana Water Science Center </a><br>U.S. Geological Survey <br>5957 Lakeside Boulevard<br>Indianapolis, IN 46278–1996</p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Creation of Flood-Inundation Map Library<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-11-02","noUsgsAuthors":false,"publicationDate":"2017-11-02","publicationStatus":"PW","scienceBaseUri":"59fc2ea2e4b0531197b27f79","contributors":{"authors":[{"text":"Martin, Zachary W. 0000-0001-5779-3548 zmartin@usgs.gov","orcid":"https://orcid.org/0000-0001-5779-3548","contributorId":156296,"corporation":false,"usgs":true,"family":"Martin","given":"Zachary","email":"zmartin@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":713197,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206545,"text":"70206545 - 2017 - Observationally constrained surface mass balance of Larsen C ice shelf, Antarctica","interactions":[],"lastModifiedDate":"2019-11-08T09:41:49","indexId":"70206545","displayToPublicDate":"2017-11-01T09:20:57","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Observationally constrained surface mass balance of Larsen C ice shelf, Antarctica","docAbstract":"<p><span>The surface mass balance (SMB) of the Larsen C ice shelf (LCIS), Antarctica, is poorly constrained due to a dearth of in situ observations. Combining several geophysical techniques, we reconstruct spatial and temporal patterns of SMB over the LCIS. Continuous time series of snow height (2.5–6&nbsp;years) at five locations allow for multi-year estimates of seasonal and annual SMB over the LCIS. There is high interannual variability in SMB as well as spatial variability: in the north, SMB is 0.40 ± 0.06 to 0.41 ± 0.04 m w.e. year</span><sup>−1</sup><span>, while farther south, SMB is up to 0.50 ± 0.05 m w.e. year</span><sup>−1</sup><span>. This difference between north and south is corroborated by winter snow accumulation derived from an airborne radar survey from 2009, which showed an average snow thickness of 0.34 m w.e. north of 66° S, and 0.40 m w.e. south of 68° S. Analysis of ground-penetrating radar from several field campaigns allows for a longer-term perspective of spatial variations in SMB: a particularly strong and coherent reflection horizon below 25–44 m of water-equivalent ice and firn is observed in radargrams collected across the shelf. We propose that this horizon was formed synchronously across the ice shelf. Combining snow height observations, ground and airborne radar, and SMB output from a regional climate model yields a gridded estimate of SMB over the LCIS. It confirms that SMB increases from north to south, overprinted by a gradient of increasing SMB to the west, modulated in the west by föhn-induced sublimation. Previous observations show a strong decrease in firn air content toward the west, which we attribute to spatial patterns of melt, refreezing, and densification rather than SMB.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/tc-11-2411-2017","usgsCitation":"Kuipers Munneke, P., Mcgrath, D., Medley, B., Luckman, A., Bevan, S., Kulessa, B., Jansen, D., Booth, A., Smeets, P., Hubbard, B., Ashmore, D., Van den Broeke, M., Sevestre, H., Steffen, K., Shepard, A., and Gourmelen, N., 2017, Observationally constrained surface mass balance of Larsen C ice shelf, Antarctica: The Cryosphere, v. 11, p. 2411-2426, https://doi.org/10.5194/tc-11-2411-2017.","productDescription":"16 p.","startPage":"2411","endPage":"2426","ipdsId":"IP-086024","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":469354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-11-2411-2017","text":"Publisher Index Page"},{"id":369082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antarctica","otherGeospatial":"Larsen C Ice Shelf","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.7197265625,\n              -74.91370815675299\n            ],\n            [\n              -59.19433593750001,\n              -74.91370815675299\n            ],\n            [\n              -59.19433593750001,\n              -69.17818443567214\n            ],\n            [\n              -67.7197265625,\n              -69.17818443567214\n            ],\n            [\n              -67.7197265625,\n              -74.91370815675299\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Kuipers Munneke, Peter","contributorId":220418,"corporation":false,"usgs":false,"family":"Kuipers Munneke","given":"Peter","email":"","affiliations":[{"id":40168,"text":"IMAU, Utrecht University","active":true,"usgs":false}],"preferred":false,"id":774929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mcgrath, Daniel 0000-0002-9462-6842","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":220417,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Medley, Brooke","contributorId":220419,"corporation":false,"usgs":false,"family":"Medley","given":"Brooke","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":774930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luckman, Adrian","contributorId":220420,"corporation":false,"usgs":false,"family":"Luckman","given":"Adrian","email":"","affiliations":[{"id":16759,"text":"Swansea University","active":true,"usgs":false}],"preferred":false,"id":774931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bevan, Suzanne 0000-0003-2649-2982","orcid":"https://orcid.org/0000-0003-2649-2982","contributorId":220451,"corporation":false,"usgs":false,"family":"Bevan","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":774958,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kulessa, Bernd","contributorId":220452,"corporation":false,"usgs":false,"family":"Kulessa","given":"Bernd","email":"","affiliations":[],"preferred":false,"id":774959,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jansen, Daniela","contributorId":220453,"corporation":false,"usgs":false,"family":"Jansen","given":"Daniela","email":"","affiliations":[],"preferred":false,"id":774960,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Booth, Adam","contributorId":220454,"corporation":false,"usgs":false,"family":"Booth","given":"Adam","affiliations":[],"preferred":false,"id":774961,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smeets, Paul","contributorId":220455,"corporation":false,"usgs":false,"family":"Smeets","given":"Paul","email":"","affiliations":[],"preferred":false,"id":774962,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hubbard, B.","contributorId":7056,"corporation":false,"usgs":true,"family":"Hubbard","given":"B.","email":"","affiliations":[],"preferred":false,"id":774963,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ashmore, David","contributorId":220456,"corporation":false,"usgs":false,"family":"Ashmore","given":"David","email":"","affiliations":[],"preferred":false,"id":774964,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Van den Broeke, Michiel","contributorId":220457,"corporation":false,"usgs":false,"family":"Van den Broeke","given":"Michiel","affiliations":[],"preferred":false,"id":774965,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sevestre, Heidi","contributorId":220458,"corporation":false,"usgs":false,"family":"Sevestre","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":774966,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Steffen, K.","contributorId":90914,"corporation":false,"usgs":true,"family":"Steffen","given":"K.","email":"","affiliations":[],"preferred":false,"id":774967,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shepard, Andrew","contributorId":220459,"corporation":false,"usgs":false,"family":"Shepard","given":"Andrew","affiliations":[],"preferred":false,"id":774968,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gourmelen, Noel","contributorId":220460,"corporation":false,"usgs":false,"family":"Gourmelen","given":"Noel","email":"","affiliations":[],"preferred":false,"id":774969,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70208431,"text":"70208431 - 2017 - Assessing the risk of non-native marine species in the Bering Sea","interactions":[],"lastModifiedDate":"2020-02-11T06:42:26","indexId":"70208431","displayToPublicDate":"2017-11-01T06:52:53","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Assessing the risk of non-native marine species in the Bering Sea","docAbstract":"<p>Invasive species are one of the leading global conservation concerns, which can have strong, negative impacts on ecosystems, vulnerable species, and valuable natural resources. Arctic regions have experienced a relatively low number of biological introductions to date. Their geographical remoteness, cold waters, and presence of sea ice present challenging conditions for both non-native organisms and the vessels that transport them, presumably leading to low rates of introduction and establishment. However, observed increases in water temperatures reductions in sea ice, and projected increases in shipping traffic are expected to render arctic marine regions more susceptible to the arrival and colonization of marine invasives. Risk assessments for these Arctic regions are important to inform management and monitoring priorities by determining which species pose the greatest risk. To this end, we developed a ranking system for non-native marine species and used this system to assess the risk of non-native species to the Bering Sea. Using species’ published physiological tolerances, we mapped habitat suitability under current and future climate scenarios to identify geographic areas of current and future concern. In addition, we described shipping traffic from commercial and fishing vessels to identify ports of entry for non-native species. Collectively, these analyses identify which marine species have the greatest risk for invasion, where in the Bering Sea invasion risk and species establishment is greatest, and which ports are most likely to serve as an entry point for marine invasives into Alaska’s Bering Sea. The ranking system we developed for non-native marine species consists of 33 questions grouped into five categories. The first four categories evaluate a species’ ability to arrive and establish in the Bering Sea, its reliance on humans for introductions, its biology, and its impacts on ecological and human systems. The fifth category is not included in the total ranking score, but provides information on management considerations. The ranking system has methods to account for data deficiencies and calculates these deficiencies to allow readers to weigh the lack of knowledge with the ranking score. We prioritized non-native species for ranking based on their geographic proximity to the Bering Sea. We evaluated 46 species and ranking scores ranged from 29.1 to 74.3 (out of a possible 100), with highest scores indicating greatest risk. Taxonomy at the level of phylum did not explain variation in ranking values, likely due to the substantial biological variation relative to our ranking criteria among members of the same phylum. To investigate where non-native species may survive and persist in the Bering Sea, we compared species’ temperature and salinity thresholds to environmental conditions of the Bering Sea. Environmental conditions were obtained from three Regional Ocean Modeling Systems (ROMS) and investigated under two time periods: current (2003-2012) and mid-century (2030-2039). We identified potential habitat for survival for 42 species, and potential habitat for reproduction for 29 species. Under current conditions, all species had temperature and salinity thresholds that would allow survival in the Bering Sea for at least part of the year, and most species (79% to 83%) had thresholds that would allow for survival year-round. For species with temperature and salinity thresholds unsuitable for survival in the Bering Sea, winter temperatures appear to be the limiting factor. Most species had six to nine weeks of suitable conditions for reproduction. Future increases in water temperatures are expected to open more habitat for marine invasives. Two of the three ROMs project an increase in the number of non-native species that would be able to survive year-round by mid-century. Moreover, models project between 37% and 60% of the Bering Sea shelf habitat to become more suitable under mid-century climate condition.</p>","language":"English","publisher":"North Pacific Research Board","collaboration":"University of Alaska Anchorage, NOAA, Aleutian Bering Sea Islands Landscape Conservation Cooperative","usgsCitation":"Reimer, J., Droghini, A., Fischbach, A., Watson, J., Bernard, B., and Poe, A., 2017, Assessing the risk of non-native marine species in the Bering Sea, 46 p.","productDescription":"46 p.","ipdsId":"IP-094656","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":372180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372163,"type":{"id":15,"text":"Index Page"},"url":"https://accs.uaa.alaska.edu/wp-content/uploads/Reimeretal2017_FinalReport.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -172.79296875,\n              51.890053935216926\n            ],\n            [\n              -161.89453125,\n              51.890053935216926\n            ],\n            [\n              -161.89453125,\n              65.94647177615738\n            ],\n            [\n              -172.79296875,\n              65.94647177615738\n            ],\n            [\n              -172.79296875,\n              51.890053935216926\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reimer, Jesika","contributorId":222311,"corporation":false,"usgs":false,"family":"Reimer","given":"Jesika","affiliations":[{"id":40516,"text":"Alaska Center for Conservation Science University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":781853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Droghini, Amanda 0000-0001-6692-2348","orcid":"https://orcid.org/0000-0001-6692-2348","contributorId":222312,"corporation":false,"usgs":false,"family":"Droghini","given":"Amanda","email":"","affiliations":[{"id":40516,"text":"Alaska Center for Conservation Science University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":781854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":781852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watson, Jordan 0000-0002-1686-0377","orcid":"https://orcid.org/0000-0002-1686-0377","contributorId":222313,"corporation":false,"usgs":false,"family":"Watson","given":"Jordan","email":"","affiliations":[{"id":40517,"text":"NOAA Alaska Fisheries Science Center Auke Bay Laboratories","active":true,"usgs":false}],"preferred":false,"id":781855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernard, Bonnie","contributorId":222314,"corporation":false,"usgs":false,"family":"Bernard","given":"Bonnie","email":"","affiliations":[{"id":40516,"text":"Alaska Center for Conservation Science University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":781856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poe, Aaron","contributorId":222315,"corporation":false,"usgs":false,"family":"Poe","given":"Aaron","email":"","affiliations":[{"id":40518,"text":"Aleutian and Bering Sea Islands LCC U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":781857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193545,"text":"70193545 - 2017 - Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community","interactions":[],"lastModifiedDate":"2017-11-14T13:08:41","indexId":"70193545","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community","docAbstract":"<p><span>Golden-winged Warbler (</span><i>Vermivora chrysoptera</i><span>) populations in the Appalachian Mountains region of North America are imperiled, warranting species-specific conservation. However, management for Golden-winged Warblers can affect both early-successional and forest species, many of which are also declining in the region. We conducted point counts in sites representing a range of successional stages within the Golden-winged Warbler's breeding range in West Virginia, USA, during 2008–2015. We identified plausible models of Golden-winged Warbler density using covariates at 4 spatial scales representing annual dispersal (5-km radius), extraterritorial movement (1.5-km radius), intraterritorial movement (100-m radius), and local resource utilization (11.3-m radius). Golden-winged Warbler density peaked at an intermediate elevation at the 1.5-km radius scale, but was negatively associated with 100-m radius minimum elevation. Density was positively associated with 100-m radius shrubland cover. Southerly latitudes were associated with higher densities when modeled alone, but there was no association when controlling for other covariates. We then examined the relationship between covariates from these plausible models and avian community structure using canonical correspondence analysis to assess the value of Golden-winged Warbler conservation for the broader avian community. We identified 5 species likely to benefit from management for Golden-winged Warblers and 21 species likely to be affected positively or negatively to varying degrees depending on their affinity for early-successional vegetation communities. Golden-winged Warblers were plotted higher along the 100-m shrubland cover gradient than any other bird species, suggesting that they may be the most shrubland area–sensitive songbird in our study area. However, the species also requires heavily forested landscapes. Therefore, a species-specific conservation strategy that balances shrubland (patches of 9–13 ha in size, comprising 15% of the landscape) and contiguous forest area (≥75% of the landscape) could concurrently meet the needs of Golden-winged Warblers and the 26 other species identified.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-49.1","usgsCitation":"Aldinger, K.R., Wood, P.B., and Johnson, C.M., 2017, Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community: The Condor, v. 119, no. 4, p. 762-786, https://doi.org/10.1650/CONDOR-17-49.1.","productDescription":"25 p.","startPage":"762","endPage":"786","ipdsId":"IP-085074","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-49.1","text":"Publisher Index Page"},{"id":348822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.8868408203125,\n              37.470498470798724\n            ],\n            [\n              -78.9697265625,\n              37.470498470798724\n            ],\n            [\n              -78.9697265625,\n              39.71986348549764\n            ],\n            [\n              -80.8868408203125,\n              39.71986348549764\n            ],\n            [\n              -80.8868408203125,\n              37.470498470798724\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d1a","contributors":{"authors":[{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":719321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Catherine M.","contributorId":53939,"corporation":false,"usgs":true,"family":"Johnson","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193410,"text":"70193410 - 2017 - Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","interactions":[],"lastModifiedDate":"2017-11-13T11:02:58","indexId":"70193410","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","docAbstract":"<p><span>With growing demand and highly variable inter-annual water supplies, California’s water use future is fraught with uncertainty. Climate change projections, anticipated population growth, and continued agricultural intensification, will likely stress existing water supplies in coming decades. Using a state-and-transition simulation modeling approach, we examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand out to 2062. We examined a range of potential water demand futures sampled from a 20-year record of historical (1992–2012) data to develop a suite of potential future land change scenarios, including low/high change scenarios for urbanization and agriculture as well as “lowest of the low” and “highest of the high” anthropogenic use. Future water demand decreased 8.3 billion cubic meters (Bm</span><sup>3</sup><span>) in the lowest of the low scenario and decreased 0.8 Bm</span><sup>3</sup><span><span>&nbsp;</span>in the low agriculture scenario. The greatest increased water demand was projected for the highest of the high land use scenario (+9.4 Bm</span><sup>3</sup><span>), high agricultural expansion (+4.6 Bm</span><sup>3</sup><span>), and high urbanization (+2.1 Bm</span><sup>3</sup><span>) scenarios. Overall, these scenarios show agricultural land use decisions will likely drive future demand more than increasing municipal and industrial uses, yet improved efficiencies across all sectors could lead to potential water use savings. Results provide water managers with information on diverging land use and water use futures, based on historical, observed land change trends and water use histories.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0187181","usgsCitation":"Wilson, T., Sleeter, B.M., and Cameron, D.R., 2017, Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change: PLoS ONE, v. 12, no. 10, p. 1-21, https://doi.org/10.1371/journal.pone.0187181.","productDescription":"e0187181; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-085977","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0187181","text":"Publisher Index 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,{"id":70192497,"text":"70192497 - 2017 - Estimating the high-arsenic domestic-well population in the conterminous United States","interactions":[],"lastModifiedDate":"2017-12-14T16:34:10","indexId":"70192497","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the high-arsenic domestic-well population in the conterminous United States","docAbstract":"<p><span>Arsenic concentrations from 20 450 domestic wells in the U.S. were used to develop a logistic regression model of the probability of having arsenic &gt;10 μg/L (“high arsenic”), which is presented at the county, state, and national scales. Variables representing geologic sources, geochemical, hydrologic, and physical features were among the significant predictors of high arsenic. For U.S. Census blocks, the mean probability of arsenic &gt;10 μg/L was multiplied by the population using domestic wells to estimate the potential high-arsenic domestic-well population. Approximately 44.1 M people in the U.S. use water from domestic wells. The population in the conterminous U.S. using water from domestic wells with predicted arsenic concentration &gt;10 μg/L is 2.1 M people (95% CI is 1.5 to 2.9 M). Although areas of the U.S. were underrepresented with arsenic data, predictive variables available in national data sets were used to estimate high arsenic in unsampled areas. Additionally, by predicting to all of the conterminous U.S., we identify areas of high and low potential exposure in areas of limited arsenic data. These areas may be viewed as potential areas to investigate further or to compare to more detailed local information. Linking predictive modeling to private well use information nationally, despite the uncertainty, is beneficial for broad screening of the population at risk from elevated arsenic in drinking water from private wells.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b02881","usgsCitation":"Ayotte, J.D., Medalie, L., Qi, S.L., Backer, L.C., and Nolan, B.T., 2017, Estimating the high-arsenic domestic-well population in the conterminous United States: Environmental Science & Technology, v. 51, no. 21, p. 12443-12454, https://doi.org/10.1021/acs.est.7b02881.","productDescription":"12 p.","startPage":"12443","endPage":"12454","ipdsId":"IP-085175","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":469369,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8842838","text":"Publisher Index 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 \"}}]}\n","volume":"51","issue":"21","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-18","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d29","contributors":{"authors":[{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Backer, Lorraine C.","contributorId":198459,"corporation":false,"usgs":false,"family":"Backer","given":"Lorraine","email":"","middleInitial":"C.","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":true,"id":716077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":716078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197123,"text":"70197123 - 2017 - The relative effectiveness of empirical and physical models for simulating the dense undercurrent of pyroclastic flows under different emplacement conditions","interactions":[],"lastModifiedDate":"2018-05-17T16:41:43","indexId":"70197123","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"The relative effectiveness of empirical and physical models for simulating the dense undercurrent of pyroclastic flows under different emplacement conditions","docAbstract":"<p><span>High concentration pyroclastic density currents (PDCs) are hot avalanches of volcanic rock and gas and are among the most destructive volcanic hazards due to their speed and mobility. Mitigating the risk associated with these flows depends upon accurate forecasting of possible impacted areas, often using empirical or physical models. TITAN2D, VolcFlow, LAHARZ, and Δ</span><i>H/L</i><span><span>&nbsp;</span>or energy cone models each employ different rheologies or empirical relationships and therefore differ in appropriateness of application for different types of mass flows and topographic environments. This work seeks to test different statistically- and physically-based models against a range of PDCs of different volumes, emplaced under different conditions, over different topography in order to test the relative effectiveness, operational aspects, and ultimately, the utility of each model for use in hazard assessments. The purpose of this work is not to rank models, but rather to understand the extent to which the different modeling approaches can replicate reality in certain conditions, and to explore the dynamics of PDCs themselves. In this work, these models are used to recreate the inundation areas of the dense-basal undercurrent of all 13 mapped, land-confined, Soufrière Hills Volcano dome-collapse PDCs emplaced from 1996 to 2010 to test the relative effectiveness of different computational models. Best-fit model results and their input parameters are compared with results using observation- and deposit-derived input parameters. Additional comparison is made between best-fit model results and those using empirically-derived input parameters from the FlowDat global database, which represent “forward” modeling simulations as would be completed for hazard assessment purposes. Results indicate that TITAN2D is able to reproduce inundated areas well using flux sources, although velocities are often unrealistically high. VolcFlow is also able to replicate flow runout well, but does not capture the lateral spreading in distal regions of larger-volume flows. Both models are better at reproducing the inundated area of single-pulse, valley-confined, smaller-volume flows than sustained, highly unsteady, larger-volume flows, which are often partially unchannelized. The simple rheological models of TITAN2D and VolcFlow are not able to recreate all features of these more complex flows. LAHARZ is fast to run and can give a rough approximation of inundation, but may not be appropriate for all PDCs and the designation of starting locations is difficult. The Δ</span><i>H/L</i><span><span>&nbsp;</span>cone model is also very quick to run and gives reasonable approximations of runout distance, but does not inherently model flow channelization or directionality and thus unrealistically covers all interfluves. Empirically-based models like LAHARZ and Δ</span><i>H/L</i><span><span>&nbsp;</span>cones can be quick, first-approximations of flow runout, provided a database of similar flows, e.g., FlowDat, is available to properly calculate coefficients or Δ</span><i>H/L</i><span>. For hazard assessment purposes, geophysical models like TITAN2D and VolcFlow can be useful for producing both scenario-based or probabilistic hazard maps, but must be run many times with varying input parameters. LAHARZ and Δ</span><i>H/L</i><span><span>&nbsp;</span>cones can be used to produce simple modeling-based hazard maps when run with a variety of input volumes, but do not explicitly consider the probability of occurrence of different volumes. For forward modeling purposes, the ability to derive potential input parameters from global or local databases is crucial, though important input parameters for VolcFlow cannot be empirically estimated. Not only does this work provide a useful comparison of the operational aspects and behavior of various models for hazard assessment, but it also enriches conceptual understanding of the dynamics of the PDCs themselves.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2017.00083","usgsCitation":"Ogburn, S.E., and Calder, E.S., 2017, The relative effectiveness of empirical and physical models for simulating the dense undercurrent of pyroclastic flows under different emplacement conditions: Frontiers in Earth Science, v. 5, p. 1-26, https://doi.org/10.3389/feart.2017.00083.","productDescription":"Article 83; 26 p.","startPage":"1","endPage":"26","ipdsId":"IP-087176","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2017.00083","text":"Publisher Index Page"},{"id":354292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5afee7c6e4b0da30c1bfc36a","contributors":{"authors":[{"text":"Ogburn, Sarah E. 0000-0002-4734-2118","orcid":"https://orcid.org/0000-0002-4734-2118","contributorId":204751,"corporation":false,"usgs":true,"family":"Ogburn","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":735757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calder, Eliza S","contributorId":205018,"corporation":false,"usgs":false,"family":"Calder","given":"Eliza","email":"","middleInitial":"S","affiliations":[{"id":37023,"text":"School of Geosciences, University of Edinburgh, Edinburgh, U.K","active":true,"usgs":false}],"preferred":false,"id":735758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197369,"text":"70197369 - 2017 - The fishery resources of the Mississippi River: A model for conservation and management","interactions":[],"lastModifiedDate":"2018-05-31T10:43:14","indexId":"70197369","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"The fishery resources of the Mississippi River: A model for conservation and management","docAbstract":"<p><span>The Mississippi River is a multijurisdictional and multiuse resource that has been variously altered and is foremost managed for navigation and flood control throughout much of its 3,734‐km passage from its origin at Lake Itasca, Minnesota, to its outlet at the Gulf of Mexico. Despite alterations summarized herein, the native fish fauna remains largely intact and only five nonnative species have colonized segments of the river. Diverse habitats still remain, but loss of habitat, declining habitat suitability, and reduced floodplain functionality warrant concern. Fisheries monitoring and assessment, ecological research, and habitat rehabilitation vary from adequate in the upper reaches of the river to minimal in the lower reaches of the river, and these efforts parallel the recreational use, local values, and visibility of the river. A conceptual model is proposed to depict the value of the social, economic, and many ecosystem services the Mississippi River ecosystem offers that can be used to achieve the social and economic support needed to conserve and restore this valuable fishery resource.</span></p>","language":"English","publisher":"Wiley","doi":"10.1080/03632415.2017.1377554","usgsCitation":"Schramm, H., 2017, The fishery resources of the Mississippi River: A model for conservation and management: Fisheries Magazine, v. 42, no. 11, p. 574-585, https://doi.org/10.1080/03632415.2017.1377554.","productDescription":"12 p.","startPage":"574","endPage":"585","ipdsId":"IP-086134","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.416015625,\n              28.9600886880068\n            ],\n            [\n              -88.857421875,\n              28.9600886880068\n            ],\n            [\n              -88.857421875,\n              47.57652571374621\n            ],\n            [\n              -96.416015625,\n              47.57652571374621\n            ],\n            [\n              -96.416015625,\n              28.9600886880068\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-08","publicationStatus":"PW","scienceBaseUri":"5b155e1ee4b092d9651e1bad","contributors":{"authors":[{"text":"Schramm, Harold L. Jr. hschramm@usgs.gov","contributorId":530,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold L.","suffix":"Jr.","email":"hschramm@usgs.gov","affiliations":[],"preferred":false,"id":736913,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194283,"text":"70194283 - 2017 - Restoration of contaminated ecosystems: adaptive management in a changing climate","interactions":[],"lastModifiedDate":"2017-11-22T11:54:31","indexId":"70194283","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of contaminated ecosystems: adaptive management in a changing climate","docAbstract":"<p><span>Three case studies illustrate how adaptive management (AM) has been used in ecological restorations that involve contaminants. Contaminants addressed include mercury, selenium, and contaminants and physical disturbances delivered to streams by urban stormwater runoff. All three cases emphasize the importance of broad stakeholder input early and consistently throughout decision analysis for AM. Risk of contaminant exposure provided input to the decision analyses (e.g. selenium exposure to endangered razorback suckers, Stewart Lake; multiple contaminants in urban stormwater runoff, Melbourne) and was balanced with the protection of resources critical for a desired future state (e.g. preservation old growth trees, South River). Monitoring also played a critical role in the ability to conduct the decision analyses necessary for AM plans. For example, newer technologies in the Melbourne case provided a testable situation where contaminant concentrations and flow disturbance were reduced to support a return to good ecological condition. In at least one case (Stewart Lake), long-term monitoring data are being used to document the potential effects of climate change on a restoration trajectory. Decision analysis formalized the process by which stakeholders arrived at the priorities for the sites, which together constituted the desired future condition towards which each restoration is aimed. Alternative models were developed that described in mechanistic terms how restoration can influence the system towards the desired future condition. Including known and anticipated effects of future climate scenarios in these models will make them robust to the long-term exposure and effects of contaminants in restored ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12583","usgsCitation":"Farag, A., Larson, D.L., Stauber, J., Stahl, R., Isanhart, J., McAbee, K., and Walsh, C.J., 2017, Restoration of contaminated ecosystems: adaptive management in a changing climate: Restoration Ecology, v. 25, no. 6, p. 884-893, https://doi.org/10.1111/rec.12583.","productDescription":"10 p.","startPage":"884","endPage":"893","ipdsId":"IP-080300","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":487214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12583","text":"Publisher Index Page"},{"id":349273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-08","publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d08","contributors":{"authors":[{"text":"Farag, Aida 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":200690,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":723065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauber, Jenny","contributorId":200691,"corporation":false,"usgs":false,"family":"Stauber","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":723067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahl, Ralph","contributorId":200692,"corporation":false,"usgs":false,"family":"Stahl","given":"Ralph","affiliations":[],"preferred":false,"id":723068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Isanhart, John 0000-0003-0208-1839","orcid":"https://orcid.org/0000-0003-0208-1839","contributorId":200693,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","email":"","affiliations":[],"preferred":false,"id":723069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McAbee, Kevin T.","contributorId":141327,"corporation":false,"usgs":false,"family":"McAbee","given":"Kevin T.","affiliations":[],"preferred":false,"id":723292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walsh, Christopher J.","contributorId":171683,"corporation":false,"usgs":false,"family":"Walsh","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723293,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194442,"text":"70194442 - 2017 - Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil","interactions":[],"lastModifiedDate":"2017-11-29T13:19:10","indexId":"70194442","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil","docAbstract":"<p><span>Vapor intrusion (VI) by volatile organic compounds (VOCs) in the built environment presents a threat to human health. Traditional VI assessments are often time-, cost-, and labor-intensive; whereas traditional subsurface methods sample a relatively small volume in the subsurface and are difficult to collect within and near structures. Trees could provide a similar subsurface sample where roots act as the “sampler’ and are already onsite. Regression models were developed to assess the relation between PCE concentrations in over 500 tree-core samples with PCE concentrations in over 50 groundwater and 1000 soil samples collected from a tetrachloroethylene- (PCE-) contaminated Superfund site and analyzed using gas chromatography. Results indicate that in planta concentrations are significantly and positively related to PCE concentrations in groundwater samples collected at depths less than 20 m (adjusted&nbsp;</span><i>R</i><sup>2</sup><span><span>&nbsp;</span>values greater than 0.80) and in soil samples (adjusted<span>&nbsp;</span></span><i>R</i><sup>2</sup><span><span>&nbsp;</span>values greater than 0.90). Results indicate that a 30 cm diameter tree characterizes soil concentrations at depths less than 6 m over an area of 700–1600 m</span><sup>2</sup><span>, the volume of a typical basement. These findings indicate that tree sampling may be an appropriate method to detect contamination at shallow depths at sites with VI.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b02667","usgsCitation":"Wilson, J.L., Limmer, M.A., Samaranayake, V., Schumacher, J., and Burken, J.G., 2017, Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil: Environmental Science & Technology, v. 51, no. 18, p. 10369-10378, https://doi.org/10.1021/acs.est.7b02667.","productDescription":"10 p.","startPage":"10369","endPage":"10378","ipdsId":"IP-083556","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":438169,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71835D8","text":"USGS data release","linkHelpText":"Tetrachloroethylene, trichloroethylene, and 1,1,2-Trichloro-1,2,2-trifluoroethane concentrations in tree-core, groundwater, and soil samples at the Vienna Wells Site: Maries County, Missouri, 2011-2016"},{"id":349537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Vienna","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.9442,\n              38.1883\n            ],\n            [\n              -91.9417,\n              38.1883\n            ],\n            [\n              -91.9417,\n              38.19\n            ],\n            [\n              -91.9442,\n              38.19\n            ],\n            [\n              -91.9442,\n              38.1883\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"18","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-31","publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d02","contributors":{"authors":[{"text":"Wilson, Jordan L. 0000-0003-0490-9062 jlwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":5416,"corporation":false,"usgs":true,"family":"Wilson","given":"Jordan","email":"jlwilson@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Limmer, Matthew A.","contributorId":200927,"corporation":false,"usgs":false,"family":"Limmer","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samaranayake, V.A.","contributorId":200928,"corporation":false,"usgs":false,"family":"Samaranayake","given":"V.A.","affiliations":[],"preferred":false,"id":723835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumacher, John G. jschu@usgs.gov","contributorId":2055,"corporation":false,"usgs":true,"family":"Schumacher","given":"John G.","email":"jschu@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723836,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burken, Joel G.","contributorId":21218,"corporation":false,"usgs":true,"family":"Burken","given":"Joel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":723837,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194652,"text":"70194652 - 2017 - Inference of timber harvest effects on survival of stream amphibians is complicated by movement","interactions":[],"lastModifiedDate":"2017-12-08T13:47:12","indexId":"70194652","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Inference of timber harvest effects on survival of stream amphibians is complicated by movement","docAbstract":"<p><span>The effects of contemporary logging practices on headwater stream amphibians have received considerable study but with conflicting or ambiguous results. We posit that focusing inference on demographic rates of aquatic life stages may help refine understanding, as aquatic and terrestrial impacts may differ considerably. We investigated in-stream survival and movement of two stream-breeding amphibian species within a before-after timber harvest experiment in the Oregon Coast Range. We used recaptures of marked individuals and a joint probability model of survival, movement, and capture probability, to measure variation in these rates attributed to stream reach, stream gradient, pre- and post-harvest periods, and the timber harvest intensity. Downstream biased movement occurred in both species but was greater for Coastal Tailed Frog (</span><i>Ascaphus truei</i><span>) larvae than aquatic Coastal Giant Salamanders (</span><i>Dicamptodon tenebrosus</i><span>). For<span>&nbsp;</span></span><i>D. tenebrosus</i><span>, downstream biased movement occurred early in life, soon after an individual's first summer. Increasing timber harvest intensity reduced downstream movement bias and reduced survival of<span>&nbsp;</span></span><i>D. tenebrosus</i><span>, but neither of these effects were detected for larvae of<span>&nbsp;</span></span><i>A. truei</i><span>. Our findings provide insight into the demographic mechanisms underlying previous nuanced studies of amphibian responses to timber harvest based on biomass or counts of larvae.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-16-573","usgsCitation":"Chelgren, N., and Adams, M.J., 2017, Inference of timber harvest effects on survival of stream amphibians is complicated by movement: Copeia, v. 105, no. 4, p. 714-727, https://doi.org/10.1643/CE-16-573.","productDescription":"14 p.","startPage":"714","endPage":"727","ipdsId":"IP-085521","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":349897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22cf3","contributors":{"authors":[{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":724765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":724764,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193363,"text":"70193363 - 2017 - Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems","interactions":[],"lastModifiedDate":"2017-11-29T16:12:53","indexId":"70193363","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems","docAbstract":"The effect of rapid erosion on kinematic partitioning along transpressional plate margins is not well understood, particularly in highly erosive climates. The Blue Mountains restraining bend (BMRB) of eastern Jamaica, bound to the south by the left-lateral Enriquillo-Plantain Garden fault (EPGF), offers an opportunity to test the effects of highly erosive climatic conditions on a 30-km-wide restraining bend system. No previous thermochronometric data exists in Jamaica to describe the spatial or temporal pattern of rock uplift and how oblique (> 20°) plate motion is partitioned into vertical strain. To define the exhumation history, we measured apatite (n = 10) and zircon (n = 6) (U-Th)/He ages, 40Ar/39Ar (n = 2; amphibole and K-spar) ages, and U/Pb zircon (n = 2) crystallization ages. Late Cretaceous U/Pb and 40Ar/39Ar ages (74–68 Ma) indicate rapid cooling following shallow emplacement of plutons during north-south subduction along the Great Caribbean Arc. Early to middle Miocene zircon helium ages (19–14 Ma) along a vertical transect suggest exhumation and island emergence at ~ 0.2 mm/yr. Older zircon ages 10–15 km to the north (44–35 Ma) imply less rock uplift. Apatite helium ages are young (6–1 Ma) across the entire orogen, suggesting rapid exhumation of the BMRB since the late Miocene. These constraints are consistent with previous reports of restraining bend formation and early emergence of eastern Jamaica. An age-elevation relationship from a vertical transect implies an exhumation rate of 0.8 mm/yr, while calculated closure depths and thermal modeling suggests exhumation as rapid as 2 mm/yr. The rapid rock uplift rates in Jamaica are comparable to the most intense transpressive zones worldwide, despite the relatively slow (5–7 mm/yr) strike-slip rate. We hypothesize highly erosive conditions in Jamaica enable a higher fraction of plate motion to be accommodated by vertical deformation. Thus, strike-slip restraining bends may evolve differently depending on erosivity and local climate.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2017.09.021","usgsCitation":"Cochran, W., Spotila, J.A., Prince, P.S., and McAleer, R., 2017, Rapid exhumation of Cretaceous arc-rocks along the Blue Mountains restraining bend of the Enriquillo-Plantain Garden fault, Jamaica, using thermochronometry from multiple closure systems: Tectonophysics, v. 721, p. 292-309, https://doi.org/10.1016/j.tecto.2017.09.021.","productDescription":"18 p.","startPage":"292","endPage":"309","ipdsId":"IP-087567","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":347957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Jamaica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.5696,18.49053],[-76.89662,18.40087],[-76.36536,18.1607],[-76.19966,17.88687],[-76.90256,17.86824],[-77.20634,17.70112],[-77.76602,17.8616],[-78.33772,18.22597],[-78.21773,18.45453],[-77.79736,18.52422],[-77.5696,18.49053]]]},\"properties\":{\"name\":\"Jamaica\"}}]}","volume":"721","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd1be4b0531197b13c51","contributors":{"authors":[{"text":"Cochran, William J.","contributorId":199373,"corporation":false,"usgs":false,"family":"Cochran","given":"William J.","affiliations":[],"preferred":false,"id":718849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spotila, James A.","contributorId":199374,"corporation":false,"usgs":false,"family":"Spotila","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":718850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prince, Philip S.","contributorId":199375,"corporation":false,"usgs":false,"family":"Prince","given":"Philip","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":718851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":718848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193353,"text":"70193353 - 2017 - Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia","interactions":[],"lastModifiedDate":"2017-11-01T11:26:25","indexId":"70193353","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia","docAbstract":"<p id=\"p-1\">The Early to Middle Triassic Erdenet porphyry Cu-Mo deposit, in northern Mongolia, developed in a continent-continent arc collision zone, within the Central Asian orogenic belt. The porphyry system is related to multiple intrusions of crystal-crowded biotite granodiorite porphyry, which formed a composite stock about 900 m in diameter, with multiple porphyritic microgranodiorite dikes. Wall rocks are Late Permian to Early Triassic, medium-grained granodiorite, with similar whole-rock geochemistry, mineralogy, and composition to the granodiorite porphyry. Whole-rock analysis of the granodiorite porphyry and wall rocks shows that these rocks cannot be discriminated, but both have depleted middle heavy rare earth elements and Y, typical of fertile porphyry magmatic suites.</p><p id=\"p-2\">At the current pit level (1,250 m elev), early porphyry-style quartz veins (A and B type) are locally infilled by pyrite-chalcopyrite, with subordinate bornite, but most of the chalcopyrite occurs in D veins that constitute more than 50% of the Cu grade (~0.5 wt % Cu). The 0.3 wt % Cu shell resembles a molar tooth, enveloping the granodiorite porphyry, with deeper roots extending down the wal-rock contacts. Molybdenite occurs in monomineralic veins, and in finely laminated to massive quartz-molybdenite veins.</p><p id=\"p-3\">The most important alteration is quartz-muscovite, which occurs as relatively coarse (100–500<span>&nbsp;</span><i>μ</i>m) alteration selvages (1–5 cm) that envelop D veins. The D veins cut illite ± kaolinite-smectite (or intermediate argillic) alteration. Intermediate argillic alteration, together with abundant pink anhydrite (commonly hydrated to gypsum), extends from at least 1,300- to 900-m elevation in the deepest drill holes, and has overprinted early potassic alteration, or relatively unaltered red granodiorite. Meter-wide zones of kaolinite cut the anhydrite-gypsum at all levels. There is an abrupt transition outward from the intermediate argillic alteration to chlorite-epidote (propylitic) alteration, at 50 to 200 m from the granodiorite porphyry contact, although D veins (and chalcopyrite) extend outward to the propylitic zone.</p><p id=\"p-4\">The Erdenet porphyry system, was overprinted by advanced argillic alteration, which outcrops 2 km northwest of the pit, and forms a lithocap that extends over 10 × 2.5 km. It is characterized by residual quartz, andalusite, Na-Ca and K-alunite, diaspore, pyrophyllite, zunyite, topaz, dickite, and kaolinite. The upper part of the porphyry Cu-Mo deposit (removed by mining), comprised a bornite-chalcocite enriched zone up to 300 m thick with an average grade of 0.7 wt % Cu and up to 5 wt % Cu locally. Based on hypogene bornite-chalcocite mineral textures and high-sulfidation state mineralogy, the enriched zone is inferred to be of hypogene origin, but modified by supergene processes. Consequently, it may be related to formation of the lithocap.</p><p id=\"p-5\">Previous Re-Os dates of 240.4 and 240.7 ± 0.8 Ma for molybdenite in quartz veins are comparable to new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar dates of 239.7 ± 1.6 and 240 ± 2 Ma for muscovite that envelops D veins. One<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar date on K-alunite from the lithocap of 223.5 ± 1.9 Ma suggests that it may be about 16 m.y. younger than Erdenet, but this result needs to be verified by further dating.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.2017.4500","usgsCitation":"Kavalieris, I., Khashgerel, B., Morgan, L.E., Undrakhtamir, A., and Borohul, A., 2017, Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia: Economic Geology, v. 112, no. 5, p. 1033-1053, https://doi.org/10.5382/econgeo.2017.4500.","productDescription":"21 p.","startPage":"1033","endPage":"1053","ipdsId":"IP-080784","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":438161,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74J0C8H","text":"USGS data release","linkHelpText":"40Ar/39Ar data for: Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia"},{"id":347960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"59fadd1ce4b0531197b13c59","contributors":{"authors":[{"text":"Kavalieris, Imants","contributorId":199360,"corporation":false,"usgs":false,"family":"Kavalieris","given":"Imants","email":"","affiliations":[],"preferred":false,"id":718798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khashgerel, Bat-Erdene","contributorId":199361,"corporation":false,"usgs":false,"family":"Khashgerel","given":"Bat-Erdene","email":"","affiliations":[],"preferred":false,"id":718799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Undrakhtamir, Alexander","contributorId":199362,"corporation":false,"usgs":false,"family":"Undrakhtamir","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":718800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borohul, Adiya","contributorId":199363,"corporation":false,"usgs":false,"family":"Borohul","given":"Adiya","email":"","affiliations":[],"preferred":false,"id":718801,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192628,"text":"70192628 - 2017 - A model-based approach to wildland fire reconstruction using sediment charcoal records","interactions":[],"lastModifiedDate":"2017-11-08T16:59:23","indexId":"70192628","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"A model-based approach to wildland fire reconstruction using sediment charcoal records","docAbstract":"<p><span>Lake sediment charcoal records are used in paleoecological analyses to reconstruct fire history, including the identification of past wildland fires. One challenge of applying sediment charcoal records to infer fire history is the separation of charcoal associated with local fire occurrence and charcoal originating from regional fire activity. Despite a variety of methods to identify local fires from sediment charcoal records, an integrated statistical framework for fire reconstruction is lacking. We develop a Bayesian point process model to estimate the probability of fire associated with charcoal counts from individual-lake sediments and estimate mean fire return intervals. A multivariate extension of the model combines records from multiple lakes to reduce uncertainty in local fire identification and estimate a regional mean fire return interval. The univariate and multivariate models are applied to 13 lakes in the Yukon Flats region of Alaska. Both models resulted in similar mean fire return intervals (100–350 years) with reduced uncertainty under the multivariate model due to improved estimation of regional charcoal deposition. The point process model offers an integrated statistical framework for paleofire reconstruction and extends existing methods to infer regional fire history from multiple lake records with uncertainty following directly from posterior distributions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/env.2450","usgsCitation":"Itter, M.S., Finley, A., Hooten, M., Higuera, P., Marlon, J.R., Kelly, R., and McLachlan, J.S., 2017, A model-based approach to wildland fire reconstruction using sediment charcoal records: Environmetrics, v. 28, no. 7, p. 1-15, https://doi.org/10.1002/env.2450.","productDescription":"e2450; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-081669","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469372,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/1612.02382","text":"External Repository"},{"id":348520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a0425b2e4b0dc0b45b45316","contributors":{"authors":[{"text":"Itter, Malcolm S.","contributorId":193084,"corporation":false,"usgs":false,"family":"Itter","given":"Malcolm","email":"","middleInitial":"S.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":716585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":716586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higuera, Philip E.","contributorId":100741,"corporation":false,"usgs":true,"family":"Higuera","given":"Philip E.","affiliations":[],"preferred":false,"id":716587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marlon, Jennifer R.","contributorId":23432,"corporation":false,"usgs":true,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Ryan","contributorId":172597,"corporation":false,"usgs":false,"family":"Kelly","given":"Ryan","affiliations":[],"preferred":false,"id":716589,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLachlan, Jason S.","contributorId":167179,"corporation":false,"usgs":false,"family":"McLachlan","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716590,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193355,"text":"70193355 - 2017 - Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA)","interactions":[],"lastModifiedDate":"2017-11-01T10:52:01","indexId":"70193355","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA)","docAbstract":"<p>Sustaining recent progress in mitigating acid pollution could require lower emissions caps that will give rise to real or perceived tradeoffs between healthy ecosystems and inexpensive energy. Because most impacts of acid rain affect ecosystem functions that are poorly understood by policy-makers and the public, an ecosystem services (ES) framework can help to measure how pollution affects human well-being. Focused on the Adirondack region (USA), a global ‘hot-spot’ of acid pollution, we measured how the chronic acidification of the region's forests, lakes, and streams has affected the potential economic and cultural benefits they provide to society. We estimated that acid-impaired hardwood forests provide roughly half of the potential benefits of forests on moderate to well-buffered soils – an estimated loss of ∼ $10,000 ha<sup>−1</sup> in net present value of wood products, maple syrup, carbon sequestration, and visual quality. Acidic deposition has had only nominal impact – relative to the effects of surficial geology and till depth – on the capacity of Adirondack lakes and streams to provide water suitable for drinking. However, as pH declines in lakes, the estimated value of recreational fishing decreases significantly due to loss of desirable fish such as trout. Hatchery stocking programs have partially offset the pollution-mediated losses of fishery value, most effectively in the pH range 4.8–5.5, but are costly and limited in scope. Although any estimates of the monetary ‘damages’ of acid rain have significant uncertainties, our findings highlight some of the more tangible economic and cultural benefits of pollution mitigation efforts, which continue to face litigation and political opposition.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.12.069","usgsCitation":"Beier, C.M., Caputo, J., Lawrence, G.B., and Sullivan, T.J., 2017, Loss of ecosystem services due to chronic pollution of forests and surface waters in the Adirondack region (USA): Journal of Environmental Management, v. 191, p. 19-27, https://doi.org/10.1016/j.jenvman.2016.12.069.","productDescription":"9 p.","startPage":"19","endPage":"27","ipdsId":"IP-082679","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469355,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.12.069","text":"Publisher Index 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glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":718806,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192684,"text":"70192684 - 2017 - Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world","interactions":[],"lastModifiedDate":"2017-11-06T15:47:49","indexId":"70192684","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Breeding biology of an endemic Bornean turdid, the Fruithunter (<i>Chlamydochaera jefferyi</i>), and life history comparisons with <i>Turdus</i> species of the world","title":"Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world","docAbstract":"<p><span>We present the first description of the breeding biology for the Fruithunter (</span><i>Chlamydochaera jefferyi</i><span>), a member of the cosmopolitan family Turdidae, and a montane endemic to the tropical Asian island of Borneo. We also compile breeding biology traits from the literature to make comparisons between the Fruithunter and the thrush genus<span>&nbsp;</span></span><i>Turdus</i><span>. Our comparisons indicate that Fruithunters exhibit a slower life history strategy than both tropical and north temperate<span>&nbsp;</span></span><i>Turdus</i><span>. We located and monitored 42 nests in 7 years in Kinabalu Park, Sabah, Malaysia. The mean clutch size was 1.89 ± 0.08 eggs, and the modal clutch size was 2 eggs. Mean fresh egg mass was 6.15 ± 0.13 g, representing 9.5% of adult female body mass. Average lengths of incubation and nestling periods were 14.56 ± 0.24 and 17.83 ± 0.31 days respectively. Only the female incubated and brooded the eggs and nestlings, but both the male and female fed nestlings. Female attentiveness during incubation was high throughout, reaching an asymptote around 85% with average on-bouts of 39.0 ± 2.5 mins. The daily nest survival probability was 0.951 ± 0.025, and the daily predation rate was 0.045 ± 0.024. Female feeding rate increased as brooding effort decreased, suggesting that female feeding rate may be constrained by the need to provide heat while nestlings are unable to thermoregulate. This contrasts with the feeding behavior of males, which showed much less of an increase across the nestling period. Furthermore, we describe a new vocalization which expands the vocal repertoire for Fruithunters, and we provide a brief audio clip and spectrogram.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/1559-4491-129.1.36","usgsCitation":"Mitchell, A.E., Tuh, F., and Martin, T.E., 2017, Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world: Wilson Journal of Ornithology, v. 129, no. 1, p. 36-45, https://doi.org/10.1676/1559-4491-129.1.36.","productDescription":"10 p.","startPage":"36","endPage":"45","ipdsId":"IP-073118","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e84de4b09af898c8cb4a","contributors":{"authors":[{"text":"Mitchell, Adam E.","contributorId":166758,"corporation":false,"usgs":false,"family":"Mitchell","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuh, Fred","contributorId":200036,"corporation":false,"usgs":false,"family":"Tuh","given":"Fred","email":"","affiliations":[],"preferred":false,"id":720754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192621,"text":"70192621 - 2017 - Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat","interactions":[],"lastModifiedDate":"2017-11-10T11:10:24","indexId":"70192621","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat","docAbstract":"<p class=\"abstract_block\">The population of beluga whales in Cook Inlet, Alaska, USA, declined by nearly half in the mid-1990s, primarily from an unsustainable harvest, and was listed as endangered in 2008. In 2014, abundance was ~340 whales, and the population trend during 1999-2014 was -1.3% yr<sup>-1</sup>. Cook Inlet beluga whales are particularly vulnerable to anthropogenic impacts, and noise that has the potential to reduce communication and echolocation range considerably has been documented in critical habitat; thus, noise was ranked as a high potential threat in the Cook Inlet beluga Recovery Plan. The current recovery strategy includes research on effects of threats potentially limiting recovery, and thus we examined the potential impact of anthropogenic noise in critical habitat, specifically, spatial displacement. Using a subset of data on anthropogenic noise and beluga detections from a 5 yr acoustic study, we evaluated the influence of noise events on beluga occupancy probability. We used occupancy models, which account for factors that affect detection probability when estimating occupancy, the first application of these models to examine the potential impacts of anthropogenic noise on marine mammal behavior. Results were inconclusive, primarily because beluga detections were relatively infrequent. Even though noise metrics (sound pressure level and noise duration) appeared in high-ranking models as covariates for occupancy probability, the data were insufficient to indicate better predictive ability beyond those models that only included environmental covariates. Future studies that implement protocols designed specifically for beluga occupancy will be most effective for accurately estimating the effect of noise on beluga displacement.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00786","usgsCitation":"Small, R.J., Brost, B.M., Hooten, M., Castellote, M., and Mondragon, J., 2017, Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat: Endangered Species Research, v. 32, p. 43-57, https://doi.org/10.3354/esr00786.","productDescription":"15 p.","startPage":"43","endPage":"57","ipdsId":"IP-070647","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00786","text":"Publisher Index Page"},{"id":348568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.46777343749997,\n              58.95000823335702\n            ],\n            [\n              -149.23828125,\n              58.95000823335702\n            ],\n            [\n              -149.23828125,\n              61.543641475549954\n            ],\n            [\n              -154.46777343749997,\n              61.543641475549954\n            ],\n            [\n              -154.46777343749997,\n              58.95000823335702\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c7e4b09af898c860e8","contributors":{"authors":[{"text":"Small, Robert J.","contributorId":171486,"corporation":false,"usgs":false,"family":"Small","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brost, Brian M.","contributorId":171484,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castellote, Manuel","contributorId":200241,"corporation":false,"usgs":false,"family":"Castellote","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":721569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mondragon, Jeffrey","contributorId":200242,"corporation":false,"usgs":false,"family":"Mondragon","given":"Jeffrey","affiliations":[],"preferred":false,"id":721570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192609,"text":"70192609 - 2017 - A comparison of two mobile electrode arrays for increasing mortality of Lake Trout embryos","interactions":[],"lastModifiedDate":"2017-11-07T14:03:00","indexId":"70192609","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of two mobile electrode arrays for increasing mortality of Lake Trout embryos","docAbstract":"<p><span>Conservation of sport fisheries and populations of several native fishes in the western United States is dependent on sustained success of removal programs targeting invasive Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>. Gill-netting of spawning adults is one strategy used to decrease spawning success; however, additional complementary methods are needed to disrupt Lake Trout reproduction where bycatch in gill nets is unacceptable. We developed and tested two portable electrode arrays designed to increase Lake Trout embryo mortality in known spawning areas. Both arrays were powered by existing commercial electrofishing equipment. However, one array was moved across the substrate to simulate being towed behind a boat (i.e., towed array), while the other array was lowered from a boat and energized when sedentary (i.e., sedentary array). The arrays were tested on embryos placed within substrates of known spawning areas. Both arrays increased mortality of embryos (&gt;90%) at the surface of substrates, but only the sedentary array was able to increase mortality to &gt;90% at deeper burial depths. In contrast, embryos at increasingly deeper depths exhibited progressively lower mortality when exposed to the towed array. Mortality of embryos placed under 20 cm of substrate and exposed to the towed array was not significantly different from that of unexposed embryos in a control group. We suggest that the sedentary array could be used as a viable approach for increasing mortality of Lake Trout embryos buried to 20 cm and that it could be modified to be effective at deeper depths.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1269031","usgsCitation":"Brown, P.J., Guy, C.S., and Meeuwig, M.H., 2017, A comparison of two mobile electrode arrays for increasing mortality of Lake Trout embryos: North American Journal of Fisheries Management, v. 37, no. 2, p. 363-369, https://doi.org/10.1080/02755947.2016.1269031.","productDescription":"7 p.","startPage":"363","endPage":"369","ipdsId":"IP-071624","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"5a07e85ae4b09af898c8cb56","contributors":{"authors":[{"text":"Brown, Peter J.","contributorId":198607,"corporation":false,"usgs":false,"family":"Brown","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":716541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meeuwig, Michael H.","contributorId":198608,"corporation":false,"usgs":false,"family":"Meeuwig","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193169,"text":"70193169 - 2017 - Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality","interactions":[],"lastModifiedDate":"2017-11-20T15:26:00","indexId":"70193169","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality","docAbstract":"<p><span>Environmental filtering and competitive exclusion are hypotheses frequently invoked in explaining species' environmental niches (i.e., geographic distributions). A key assumption in both hypotheses is that the functional niche (i.e., species traits) governs the environmental niche, but few studies have rigorously evaluated this assumption. Furthermore, phylogeny could be associated with these hypotheses if it is predictive of functional niche similarity via phylogenetic signal or convergent evolution, or of environmental niche similarity through phylogenetic attraction or repulsion. The objectives of this study were to investigate relationships between environmental niches, functional niches, and phylogenies of fishes of the Upper (UCRB) and Lower (LCRB) Colorado River Basins of southwestern North America. We predicted that functionally similar species would have similar environmental niches (i.e., environmental filtering) and that closely related species would be functionally similar (i.e., phylogenetic signal) and possess similar environmental niches (i.e., phylogenetic attraction). Environmental niches were quantified using environmental niche modeling, and functional similarity was determined using functional trait data. Nonnatives in the UCRB provided the only support for environmental filtering, which resulted from several warmwater nonnatives having dam number as a common predictor of their distributions, whereas several cool- and coldwater nonnatives shared mean annual air temperature as an important distributional predictor. Phylogenetic signal was supported for both natives and nonnatives in both basins. Lastly, phylogenetic attraction was only supported for native fishes in the LCRB and for nonnative fishes in the UCRB. Our results indicated that functional similarity was heavily influenced by evolutionary history, but that phylogenetic relationships and functional traits may not always predict the environmental distribution of species. However, the similarity of environmental niches among warmwater centrarchids, ictalurids, fundulids, and poeciliids in the UCRB indicated that dam removals could influence the distribution of these nonnatives simultaneously, thus providing greater conservation benefits. However, this same management strategy would have more limited effects on nonnative salmonids, catostomids, and percids with colder temperature preferences, thus necessitating other management strategies to control these species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1658","usgsCitation":"Whitney, J.E., Whittier, J.B., and Paukert, C.P., 2017, Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality: Ecosphere, v. 8, no. 1, p. 1-21, https://doi.org/10.1002/ecs2.1658.","productDescription":"Article e01658; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-076772","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1658","text":"Publisher Index Page"},{"id":349155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","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              -115,\n              30\n            ],\n            [\n              -105,\n              30\n            ],\n            [\n              -105,\n              43\n            ],\n            [\n              -115,\n              43\n            ],\n            [\n              -115,\n              30\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d23","contributors":{"authors":[{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":722919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718117,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193595,"text":"70193595 - 2017 - Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information","interactions":[],"lastModifiedDate":"2017-11-16T11:37:23","indexId":"70193595","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information","docAbstract":"Maintaining landscape connectivity is increasingly important\nin wildlife conservation, especially for species experiencing\nthe effects of habitat loss and fragmentation. We propose a\nnovel approach to dynamically optimize landscape connectivity.\nOur approach is based on a mixed integer program formulation,\nembedding a spatial capture-recapture model that\nestimates the density, space usage, and landscape connectivity\nfor a given species. Our method takes into account the\nfact that local animal density and connectivity change dynamically\nand non-linearly with different habitat protection\nplans. In order to scale up our encoding, we propose a sampling\nscheme via random partitioning of the search space using\nparity functions. We show that our method scales to realworld\nsize problems and dramatically outperforms the solution\nquality of an expectation maximization approach and a\nsample average approximation approach.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI-17)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Thirty-First Conference on Artificial Intelligence (AAAI-17)","conferenceLocation":"San Francisco, CA","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","usgsCitation":"Xue, Y., Wu, X., Morin, D.J., Dilkina, B., Fuller, A.K., Royle, J., and Gomes, C.P., 2017, Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information, <i>in</i> Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, 7 p.","productDescription":"7 p.","ipdsId":"IP-081147","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d18","contributors":{"authors":[{"text":"Xue, Yexiang","contributorId":200458,"corporation":false,"usgs":false,"family":"Xue","given":"Yexiang","email":"","affiliations":[],"preferred":false,"id":722407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Xiaojian","contributorId":200459,"corporation":false,"usgs":false,"family":"Wu","given":"Xiaojian","email":"","affiliations":[],"preferred":false,"id":722408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Dana J.","contributorId":200306,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dilkina, Bistra","contributorId":177110,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","affiliations":[],"preferred":false,"id":722410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":719550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomes, Carla P.","contributorId":177112,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":722411,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193277,"text":"70193277 - 2017 - Alternative pathways to landscape transformation: Invasive grasses, burn severity and fire frequency in arid ecosystems","interactions":[],"lastModifiedDate":"2017-11-06T13:06:31","indexId":"70193277","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Alternative pathways to landscape transformation: Invasive grasses, burn severity and fire frequency in arid ecosystems","docAbstract":"<ol id=\"jec12863-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Arid ecosystems are often vulnerable to transformation to invasive-dominated states following fire, but data on persistence of these states are sparse. The grass/fire cycle is a feedback process between invasive annual grasses and fire frequency that often leads to the formation of alternative vegetation states dominated by the invasive grasses. However, other components of fire regimes, such as burn severity, also have the potential to produce long-term vegetation transformations. Our goal was to evaluate the influence of both fire frequency and burn severity on the transformation of woody-dominated communities to communities dominated by invasive grasses in major elevation zones of the Mojave Desert of western North America.</li><li>We used a chronosequence design to collect data on herbaceous and woody cover at 229 unburned reference plots and 578 plots that burned between 1972 and 2010. We stratified the plots by elevation zone (low, mid, high), fire frequency (1–3 times) and years post-fire (YPF; 1–5, 6–10, 11–20 and 21–40 YPF). Burn severity for each plot was estimated by the difference normalized burn ratio.</li><li>We identified two broad post-fire successional pathways. One was an outcome of fire frequency, resulting in a strong potential transformation via the grass/fire cycle. The second pathway was driven by burn severity, the critical aspect being that long-term transformation of a community could occur from just one fire in areas that burned at high or sometimes moderate severity. Dominance by invasive grasses was most likely to occur in low-and high-elevation communities; cover of native herbaceous species was often greater than that of invasive grasses in the mid-elevation zone.</li><li><i>Synthesis</i>. Invasive grasses can dominate a site that burned only one time in many decades at high severity, or a site that burned at low severity but multiple times in the same time period. However, high burn severity may predispose areas to more frequent fire because they have relatively high cover of invasive annual grass, suggesting burn severity and fire frequency have both independent and synergistic effects. Resilience in vegetation structure following fire in many arid communities may be limited to a narrow window of low burn severity in areas that have not burned in many decades.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.12863","usgsCitation":"Klinger, R.C., and Brooks, M.L., 2017, Alternative pathways to landscape transformation: Invasive grasses, burn severity and fire frequency in arid ecosystems: Journal of Ecology, v. 105, p. 1521-1533, https://doi.org/10.1111/1365-2745.12863.","productDescription":"13 p.","startPage":"1521","endPage":"1533","ipdsId":"IP-084387","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469364,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12863","text":"Publisher Index Page"},{"id":438160,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79022PZ","text":"USGS data release","linkHelpText":"Cover of Woody and Herbaceous Functional Groups in Burned and Unburned Plots, Mojave Desert, 2009-2013"},{"id":348273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mojave Desert","volume":"105","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"5a07e84be4b09af898c8cb40","contributors":{"authors":[{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":718506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":718505,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}