{"pageNumber":"911","pageRowStart":"22750","pageSize":"25","recordCount":165533,"records":[{"id":70193038,"text":"70193038 - 2017 - Future of Pacific salmon in the face of environmental change: Lessons from one of the world's remaining productive salmon regions","interactions":[],"lastModifiedDate":"2018-02-28T14:28:14","indexId":"70193038","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Future of Pacific salmon in the face of environmental change: Lessons from one of the world's remaining productive salmon regions","docAbstract":"<p><span>Pacific salmon&nbsp;</span><i>Oncorhynchus</i><span><span>&nbsp;</span>spp. face serious challenges from climate and landscape change, particularly in the southern portion of their native range. Conversely, climate warming appears to be allowing salmon to expand northwards into the Arctic. Between these geographic extremes, in the Gulf of Alaska region, salmon are at historically high abundances but face an uncertain future due to rapid environmental change. We examined changes in climate, hydrology, land cover, salmon populations, and fisheries over the past 30–70 years in this region. We focused on the Kenai River, which supports world-famous fisheries but where Chinook Salmon<span>&nbsp;</span></span><i>O. tshawytscha</i><span><span>&nbsp;</span>populations have declined, raising concerns about their future resilience. The region is warming and experiencing drier summers and wetter autumns. The landscape is also changing, with melting glaciers, wetland loss, wildfires, and human development. This environmental transformation will likely harm some salmon populations while benefiting others. Lowland salmon streams are especially vulnerable, but retreating glaciers may allow production gains in other streams. Some fishing communities harvest a diverse portfolio of fluctuating resources, whereas others have specialized over time, potentially limiting their resilience. Maintaining diverse habitats and salmon runs may allow ecosystems and fisheries to continue to thrive amidst these changes.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2017.1374251","usgsCitation":"Schoen, E.R., Wipfli, M.S., Trammell, J., Rinella, D.J., Floyd, A.L., Grunblatt, J., McCarthy, M.D., Meyer, B.E., Morton, J.M., Powell, J.E., Prakash, A., Reimer, M.N., Stuefer, S.L., Toniolo, H., Wells, B.M., and Witmer, F.D., 2017, Future of Pacific salmon in the face of environmental change: Lessons from one of the world's remaining productive salmon regions: Fisheries, v. 42, no. 10, p. 538-553, https://doi.org/10.1080/03632415.2017.1374251.","productDescription":"16 p.","startPage":"538","endPage":"553","ipdsId":"IP-084989","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/03632415.2017.1374251","text":"Publisher Index Page"},{"id":348312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"42","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-24","publicationStatus":"PW","scienceBaseUri":"5a07e872e4b09af898c8cb6c","contributors":{"authors":[{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":720789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 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L.","contributorId":200048,"corporation":false,"usgs":false,"family":"Floyd","given":"Angelica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grunblatt, Jess","contributorId":189261,"corporation":false,"usgs":false,"family":"Grunblatt","given":"Jess","email":"","affiliations":[],"preferred":false,"id":720793,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCarthy, Molly D.","contributorId":200049,"corporation":false,"usgs":false,"family":"McCarthy","given":"Molly","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":720794,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meyer, Benjamin E.","contributorId":200050,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720795,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morton, John M.","contributorId":17097,"corporation":false,"usgs":true,"family":"Morton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720796,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Powell, James E.","contributorId":200051,"corporation":false,"usgs":false,"family":"Powell","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720797,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Prakash, Anupma","contributorId":189216,"corporation":false,"usgs":false,"family":"Prakash","given":"Anupma","email":"","affiliations":[{"id":13662,"text":"Geophysical Institute, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":720798,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reimer, Matthew N.","contributorId":200052,"corporation":false,"usgs":false,"family":"Reimer","given":"Matthew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":720799,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stuefer, Svetlana L.","contributorId":200053,"corporation":false,"usgs":false,"family":"Stuefer","given":"Svetlana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720800,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Toniolo, Horacio","contributorId":200054,"corporation":false,"usgs":false,"family":"Toniolo","given":"Horacio","email":"","affiliations":[],"preferred":false,"id":720801,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wells, Brett M.","contributorId":200055,"corporation":false,"usgs":false,"family":"Wells","given":"Brett","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720802,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Witmer, Frank D. W.","contributorId":200056,"corporation":false,"usgs":false,"family":"Witmer","given":"Frank","email":"","middleInitial":"D. W.","affiliations":[],"preferred":false,"id":720803,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70193042,"text":"70193042 - 2017 - Spatially dependent responses of a large-river fish assemblage to bank stabilization and side channels","interactions":[],"lastModifiedDate":"2017-11-06T16:36:31","indexId":"70193042","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Spatially dependent responses of a large-river fish assemblage to bank stabilization and side channels","docAbstract":"<p><span>The alteration of rivers by anthropogenic bank stabilization to prevent the erosion of economically valuable lands and structures has become commonplace. However, such alteration has ambiguous consequences for fish assemblages, especially in large rivers. Because most large, temperate rivers have impoundments, it can be difficult to separate the influences of bank stabilization structures from those of main-stem impoundments, especially because both stabilization structures and impoundments can cause side-channel loss. Few large rivers are free flowing and retain extensive side channels, but the Yellowstone River (our study area) is one such river. We hypothesized that in this river (1) bank stabilization has changed fish assemblage structure by altering habitats, (2) side-channel availability has influenced fish assemblage structure by providing habitat heterogeneity, and (3) the influences of bank stabilization and side channels on fish assemblages were spatially scale dependent. We developed a spatially explicit framework to test these hypotheses. Fish assemblage structure varied with the extent of bank stabilization and the availability of side channels; however, not all assemblage subsets were influenced. Nevertheless, bank stabilization and side channels had different and sometimes opposite influences on the fish assemblage. The effects of side channels on fish were more consistent and widespread than those of bank stabilization; the catches of more fishes were positively correlated with side-channel availability than with the extent of bank stabilization. The influences of bank stabilization and side channels on the relative abundances of fish also varied, depending on species and river bend geomorphology. The variation in river morphology probably contributed to the assemblage differences between stabilized and reference river bends; stabilized alluvial pools were deeper than reference alluvial pools, but the depths of stabilized and reference bluff pools did not differ. The strengths of the relationships among fish assemblages, bank stabilization, and side channels were spatially scale dependent; optimum spatial scales ranged from less than 200 m to 3,200 m up- and downstream, suggesting that bank stabilization and side channels influenced fish assemblages across multiple spatial scales.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1290682","usgsCitation":"Reinhold, A.M., Bramblett, R.G., Zale, A.V., Poole, G., and Roberts, D.W., 2017, Spatially dependent responses of a large-river fish assemblage to bank stabilization and side channels: Transactions of the American Fisheries Society, v. 146, no. 5, p. 967-982, https://doi.org/10.1080/00028487.2017.1290682.","productDescription":"16 p.","startPage":"967","endPage":"982","ipdsId":"IP-067237","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488007,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/Spatially_Dependent_Responses_of_a_Large-River_Fish_Assemblage_to_Bank_Stabilization_and_Side_Channels/5263243","text":"External Repository"},{"id":348309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              45.01141864227728\n            ],\n            [\n              -104.0185546875,\n              45.01141864227728\n            ],\n            [\n              -104.0185546875,\n              47.83528342275264\n            ],\n            [\n              -111.0498046875,\n              47.83528342275264\n            ],\n            [\n              -111.0498046875,\n              45.01141864227728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-31","publicationStatus":"PW","scienceBaseUri":"5a07e872e4b09af898c8cb6a","contributors":{"authors":[{"text":"Reinhold, Ann Marie","contributorId":200043,"corporation":false,"usgs":false,"family":"Reinhold","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":720777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":720778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poole, Geoffrey C.","contributorId":25540,"corporation":false,"usgs":true,"family":"Poole","given":"Geoffrey C.","affiliations":[],"preferred":false,"id":720779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, David W.","contributorId":56235,"corporation":false,"usgs":true,"family":"Roberts","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":720780,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192134,"text":"70192134 - 2017 - Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios","interactions":[],"lastModifiedDate":"2017-10-23T14:40:19","indexId":"70192134","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios","docAbstract":"<p><span>We examine the impacts of climate on net returns from crop and livestock production and the resulting impact on land-use change across the contiguous USA. We first estimate an econometric model to project effects of weather fluctuations on crop and livestock net returns and then use a semi-reduced form land-use share model to study agricultural land-use changes under future climate and socio-economic scenarios. Estimation results show that crop net returns are more sensitive to thermal and less sensitive to moisture variability than livestock net returns; other agricultural land uses substitute cropland use when 30-year averaged degree-days or precipitation are not beneficial for crop production. Under future climate and socio-economic scenarios, we project that crop and livestock net returns are both increasing, but with crop net returns increasing at a higher rate; cropland increases with declines of marginal and pastureland by the end of the twenty-first century. Projections also show that impacts of future climate on agricultural land uses are substantially different and a larger variation of land-use change is evident when socio-economic scenarios are incorporated into the climate impact analysis.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-017-2033-x","usgsCitation":"Mu, J.E., Sleeter, B.M., Abatzoglou, J.T., and Antle, J.M., 2017, Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios: Climatic Change, v. 144, no. 2, p. 329-345, https://doi.org/10.1007/s10584-017-2033-x.","productDescription":"17 p.","startPage":"329","endPage":"345","ipdsId":"IP-088868","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-017-2033-x","text":"Publisher Index 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 \"}}]}\n\n\n","volume":"144","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"59eeffa4e4b0220bbd988f6d","contributors":{"authors":[{"text":"Mu, Jianhong E.","contributorId":75840,"corporation":false,"usgs":true,"family":"Mu","given":"Jianhong","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":714357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abatzoglou, John T.","contributorId":191729,"corporation":false,"usgs":false,"family":"Abatzoglou","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":714359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antle, John M.","contributorId":197804,"corporation":false,"usgs":false,"family":"Antle","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714360,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192114,"text":"70192114 - 2017 - Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile","interactions":[],"lastModifiedDate":"2017-10-23T15:13:59","indexId":"70192114","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile","docAbstract":"<p><span>Here we explore the potential of spring-related, surface and subsurface carbonates as an archive of paleoenvironmental change at Barrancas Blancas, located in the broadest and driest sector of the Atacama Desert at 24.5°S. From these deposits we present a new stable isotopic record of paleoenvironmental conditions over portions of the past ~</span><span>&nbsp;</span><span>11.5</span><span>&nbsp;</span><span>Ma. U-Pb dates from the carbonates, both surface and subsurface, demonstrate that springs have discharged at this location over much of the last 11.5</span><span>&nbsp;</span><span>Ma, attesting to the exceptional geomorphic stability of the central Atacama. Many of the sampled vein systems line vertical fissures, and formed within the aquifer before groundwater discharged at the surface. Carbonates in such circumstances should not undergo off-gassing and kinetic fractionation prior to formation, simplifying the interpretation of their isotopic composition. Oxygen isotopic compositions of carbonates are generally high (&gt;−</span><span>&nbsp;</span><span>5‰VPDB), and using paleospring water temperatures of 3–13</span><span>&nbsp;</span><span>°C reconstructed from clumped isotopes, point to strongly (up to 50%) evaporated water isotope values, like those associated with the hyperarid core of the Atacama Desert today. Carbon isotopic compositions are also high (≥+3‰ PDB), reflecting a recharge area essentially devoid of plants and dominated by volcanic CO</span><sub>2</sub><span>, as is the case today. Our isotopic results are very similar to those from the Calama Basin to the north, suggesting that the western face of the Andes between 21 and 25°S has been highly evaporative and nearly plantless when these springs discharged over the last 11.5</span><span>&nbsp;</span><span>Ma. The spring carbonates at Barrancas Blancas strongly resemble those found at Devils Hole and Furnace Creek in Death Valley, USA, and as such warrant further exploration as potential archives of climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2017.05.004","usgsCitation":"Quade, J., Rasbury, E., Huntington, K., Hudson, A.M., Vonhof, H., Anchukaitis, K., Betancourt, J.L., Latorre, C., and Pepper, M., 2017, Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile: Chemical Geology, v. 466, p. 41-56, https://doi.org/10.1016/j.chemgeo.2017.05.004.","productDescription":"16 p.","startPage":"41","endPage":"56","ipdsId":"IP-086267","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":347157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Atacama Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.25,\n              -25\n            ],\n            [\n              -68.5,\n              -25\n            ],\n            [\n              -68.5,\n              -24.5\n            ],\n            [\n              -69.25,\n              -24.5\n            ],\n            [\n              -69.25,\n              -25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"466","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa4e4b0220bbd988f71","contributors":{"authors":[{"text":"Quade, J.","contributorId":197774,"corporation":false,"usgs":false,"family":"Quade","given":"J.","email":"","affiliations":[],"preferred":false,"id":714281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasbury, E.T.","contributorId":197775,"corporation":false,"usgs":false,"family":"Rasbury","given":"E.T.","email":"","affiliations":[],"preferred":false,"id":714282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntington, K.W.","contributorId":197776,"corporation":false,"usgs":false,"family":"Huntington","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":714283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":714284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vonhof, H.","contributorId":197777,"corporation":false,"usgs":false,"family":"Vonhof","given":"H.","email":"","affiliations":[],"preferred":false,"id":714285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anchukaitis, K.","contributorId":197778,"corporation":false,"usgs":false,"family":"Anchukaitis","given":"K.","email":"","affiliations":[],"preferred":false,"id":714286,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":714280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Latorre, C.","contributorId":195885,"corporation":false,"usgs":false,"family":"Latorre","given":"C.","affiliations":[],"preferred":false,"id":714287,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pepper, M.","contributorId":197779,"corporation":false,"usgs":false,"family":"Pepper","given":"M.","email":"","affiliations":[],"preferred":false,"id":714288,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192240,"text":"70192240 - 2017 - Uptake and disposition of select pharmaceuticals by bluegill exposed at constant concentrations in a flow-through aquatic exposure system","interactions":[],"lastModifiedDate":"2017-10-24T12:16:37","indexId":"70192240","displayToPublicDate":"2017-10-01T00:00:00","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":"Uptake and disposition of select pharmaceuticals by bluegill exposed at constant concentrations in a flow-through aquatic exposure system","docAbstract":"<p><span>The increasing use of pharmaceuticals has led to their subsequent input into and release from wastewater treatment plants, with corresponding discharge into surface waters that may subsequently exert adverse effects upon aquatic organisms. Although the distribution of pharmaceuticals in surface water has been extensively studied, the details of uptake, internal distribution, and kinetic processing of pharmaceuticals in exposed fish have received less attention. For this research, we investigated the uptake, disposition, and toxicokinetics of five pharmaceuticals (diclofenac, methocarbamol, rosuvastatin, sulfamethoxazole, and temazepam) in bluegill sunfish (</span><i>Lepomis macrochirus</i><span>) exposed to environmentally relevant concentrations (1000–4000 ng L</span><sup>–1</sup><span>) in a flow-through exposure system. Temazepam and methocarbamol were consistently detected in bluegill biological samples with the highest concentrations in bile of 4, 940, and 180 ng g</span><sup>–1</sup><span>, respectively, while sulfamethoxazole, diclofenac, and rosuvastatin were only infrequently detected. Over 30-day exposures, the relative magnitude of mean concentrations of temazepam and methocarbamol in biological samples generally followed the order: bile ≫ gut &gt; liver and brain &gt; muscle, plasma, and gill. Ranges of bioconcentration factors (BCFs) in different biological samples were 0.71–3960 and 0.13–48.6 for temazepam and methocarbamol, respectively. Log BCFs were statistically positively correlated to pH adjusted log<span>&nbsp;</span></span><i>K</i><sub>ow</sub><span><span>&nbsp;</span>(that is, log<span>&nbsp;</span></span><i>D</i><sub>ow</sub><span>), with the strongest relations for liver and brain (</span><i>r</i><sup>2</sup><span><span>&nbsp;</span>= 0.92 and 0.99, respectively), implying that bioconcentration patterns of ionizable pharmaceuticals depend on molecular status, that is, whether a pharmaceutical is un-ionized or ionized at ambient tissue pH. Methocarbamol and temazepam underwent rapid uptake and elimination in bluegill biological compartments with uptake rate constants (</span><i>K</i><sub>u</sub><span>) and elimination rate constants (</span><i>K</i><sub>e</sub><span>) at 0.0066–0.0330 h</span><sup>–1</sup><span><span>&nbsp;</span>and 0.0075–0.0384 h</span><sup>–1</sup><span>, respectively, and half-lives at 18.1–92.4 h. Exposure to mixtures of diclofenac, methocarbamol, sulfamethoxazole, and temazepam had little or no influence on the uptake and elimination rates, suggesting independent multiple uptake and disposition behaviors of pharmaceuticals by fish would occur when exposed to effluent-influenced surface waters.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b00604","usgsCitation":"Zhao, J., Furlong, E.T., Schoenfuss, H.L., Kolpin, D.W., Bird, K.L., Feifarek, D.J., Schwab, E.A., and Ying, G., 2017, Uptake and disposition of select pharmaceuticals by bluegill exposed at constant concentrations in a flow-through aquatic exposure system: Environmental Science & Technology, v. 51, no. 8, p. 4434-4444, https://doi.org/10.1021/acs.est.7b00604.","productDescription":"11 p.","startPage":"4434","endPage":"4444","ipdsId":"IP-075600","costCenters":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":347221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d7b","contributors":{"authors":[{"text":"Zhao, Jian-Liang","contributorId":198055,"corporation":false,"usgs":false,"family":"Zhao","given":"Jian-Liang","email":"","affiliations":[],"preferred":false,"id":714955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":714954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":714956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bird, Kyle L.","contributorId":198056,"corporation":false,"usgs":false,"family":"Bird","given":"Kyle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feifarek, David J.","contributorId":198057,"corporation":false,"usgs":false,"family":"Feifarek","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwab, Eric A. easchwab@usgs.gov","contributorId":4222,"corporation":false,"usgs":true,"family":"Schwab","given":"Eric","email":"easchwab@usgs.gov","middleInitial":"A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":714960,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ying, Guang-Guo","contributorId":198058,"corporation":false,"usgs":false,"family":"Ying","given":"Guang-Guo","email":"","affiliations":[],"preferred":false,"id":714961,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192963,"text":"70192963 - 2017 - Using genetic pedigree reconstruction to estimate effective spawner abundance from redd surveys: an example involving Pacific lamprey (Entosphenus tridentatus)","interactions":[],"lastModifiedDate":"2017-11-07T12:36:07","indexId":"70192963","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using genetic pedigree reconstruction to estimate effective spawner abundance from redd surveys: an example involving Pacific lamprey (<i>Entosphenus tridentatus</i>)","title":"Using genetic pedigree reconstruction to estimate effective spawner abundance from redd surveys: an example involving Pacific lamprey (Entosphenus tridentatus)","docAbstract":"<p><span>Redd surveys are a commonly used technique for indexing the abundance of sexually mature fish in streams; however, substantial effort is often required to link redd counts to actual spawner abundance. In this study, we describe how genetic pedigree reconstruction can be used to estimate effective spawner abundance in a stream reach, using Pacific lamprey (</span><i>Entosphenus tridentatus</i><span>) as an example. Lamprey embryos were sampled from redds within a 2.5 km reach of the Luckiamute River, Oregon, USA. Embryos were found in only 20 of the 48 redds sampled (suggesting 58% false redds); however, multiple sets of parents were detected in 44% of the true redds. Estimates from pedigree reconstruction suggested that there were 0.48 (95% CI: 0.29–0.88) effective spawners per redd and revealed that individual lamprey contributed gametes to a minimum of between one and six redds, and in one case, spawned in patches that were separated by over 800 m. Our findings demonstrate the utility of pedigree reconstruction techniques for both inferring spawning-ground behaviors and providing useful information for refining lamprey redd survey methodologies.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0154","usgsCitation":"Whitlock, S., Schultz, L., Schreck, C.B., and Hess, J., 2017, Using genetic pedigree reconstruction to estimate effective spawner abundance from redd surveys: an example involving Pacific lamprey (Entosphenus tridentatus): Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 10, p. 1646-1653, https://doi.org/10.1139/cjfas-2016-0154.","productDescription":"8 p.","startPage":"1646","endPage":"1653","ipdsId":"IP-071422","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Luckiamute River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.48186492919922,\n              44.66523445141229\n            ],\n            [\n              -123.45542907714842,\n              44.66523445141229\n            ],\n            [\n              -123.45542907714842,\n              44.70636419995174\n            ],\n            [\n              -123.48186492919922,\n              44.70636419995174\n            ],\n            [\n              -123.48186492919922,\n              44.66523445141229\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb70","contributors":{"authors":[{"text":"Whitlock, S.L.","contributorId":198860,"corporation":false,"usgs":false,"family":"Whitlock","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":717450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, L.D.","contributorId":198861,"corporation":false,"usgs":false,"family":"Schultz","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":717451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hess, J.E.","contributorId":198862,"corporation":false,"usgs":false,"family":"Hess","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":717452,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192078,"text":"70192078 - 2017 - Breeding behavior of northern saw-whet owls in Oregon","interactions":[],"lastModifiedDate":"2017-10-19T15:40:35","indexId":"70192078","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Breeding behavior of northern saw-whet owls in Oregon","docAbstract":"<p><span>We know little about the breeding behavior of most nocturnal raptors. Nest attendance and prey delivery rates can be used as indices of relative habitat quality or extent of parental care. We used video cameras to document and observe prey delivery rates, nest attendance and bout durations at two northern saw-whet owl (</span><i>Aegolius acadicus</i><span>) nests in two artificial nest boxes in north-central Oregon. We collected 858 hours of video surveillance between 21 March and 01 June 2014. The number of prey deliveries per night increased as the nesting season progressed: 1.25 during laying, 1.33 during incubation, and 4.0 during the nestling phase. Prey was delivered most often between 2100 and 2200. Nest attendance by females was high during pre-laying (97.8%), laying (97.9%) and incubation (98.2%), but decreased during the nestling phase (55.7%). Nest attendance was higher during diurnal hours than nocturnal hours across all nesting phases. Duration of off bouts (recesses) was similar during pre-laying and laying (26 min), decreased during incubation (19 min), then increased during the nestling phase (55 min). One of the nesting attempts was successful and the female abandoned the other clutch 22 days after initiation. The incubation and nestling periods were 30 days each.</span></p>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.091.0211","usgsCitation":"McCullough, J.M., and Conway, C.J., 2017, Breeding behavior of northern saw-whet owls in Oregon: Northwest Science, v. 91, no. 2, p. 222-227, https://doi.org/10.3955/046.091.0211.","productDescription":"6 p.","startPage":"222","endPage":"227","ipdsId":"IP-074300","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"91","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b992e4b05fe04cd65c4e","contributors":{"authors":[{"text":"McCullough, Jenna M.","contributorId":197740,"corporation":false,"usgs":false,"family":"McCullough","given":"Jenna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192072,"text":"70192072 - 2017 - Accounting for imperfect detection of groups and individuals when estimating abundance","interactions":[],"lastModifiedDate":"2017-10-19T15:48:56","indexId":"70192072","displayToPublicDate":"2017-10-01T00:00:00","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":"Accounting for imperfect detection of groups and individuals when estimating abundance","docAbstract":"<p><span>If animals are independently detected during surveys, many methods exist for estimating animal abundance despite detection probabilities &lt;1. Common estimators include double-observer models, distance sampling models and combined double-observer and distance sampling models (known as mark-recapture-distance-sampling models; MRDS). When animals reside in groups, however, the assumption of independent detection is violated. In this case, the standard approach is to account for imperfect detection of groups, while assuming that individuals within groups are detected perfectly. However, this assumption is often unsupported. We introduce an abundance estimator for grouped animals when detection of groups is imperfect and group size may be under-counted, but not over-counted. The estimator combines an MRDS model with an N-mixture model to account for imperfect detection of individuals. The new MRDS-Nmix model requires the same data as an MRDS model (independent detection histories, an estimate of distance to transect, and an estimate of group size), plus a second estimate of group size provided by the second observer. We extend the model to situations in which detection of individuals within groups declines with distance. We simulated 12 data sets and used Bayesian methods to compare the performance of the new MRDS-Nmix model to an MRDS model. Abundance estimates generated by the MRDS-Nmix model exhibited minimal bias and nominal coverage levels. In contrast, MRDS abundance estimates were biased low and exhibited poor coverage. Many species of conservation interest reside in groups and could benefit from an estimator that better accounts for imperfect detection. Furthermore, the ability to relax the assumption of perfect detection of individuals within detected groups may allow surveyors to re-allocate resources toward detection of new groups instead of extensive surveys of known groups. We believe the proposed estimator is feasible because the only additional field data required are a second estimate of group size.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3284","usgsCitation":"Clement, M.J., Converse, S.J., and Royle, J., 2017, Accounting for imperfect detection of groups and individuals when estimating abundance: Ecology and Evolution, v. 7, no. 18, p. 7304-7310, https://doi.org/10.1002/ece3.3284.","productDescription":"7 p.","startPage":"7304","endPage":"7310","ipdsId":"IP-086061","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469478,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3284","text":"Publisher Index Page"},{"id":347004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"18","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-08","publicationStatus":"PW","scienceBaseUri":"59e9b992e4b05fe04cd65c51","contributors":{"authors":[{"text":"Clement, Matthew J. mclement@usgs.gov","contributorId":5278,"corporation":false,"usgs":true,"family":"Clement","given":"Matthew","email":"mclement@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":714185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":714064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192065,"text":"70192065 - 2017 - Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments","interactions":[],"lastModifiedDate":"2017-10-19T14:04:04","indexId":"70192065","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments","docAbstract":"<p><span>Nutritional ecology forms the interface between environmental variability and large herbivore behaviour, life history characteristics, and population dynamics. Forage conditions in arid and semi-arid regions are driven by unpredictable spatial and temporal patterns in rainfall. Diet selection by herbivores should be directed towards overcoming the most pressing nutritional limitation (i.e. energy, protein [nitrogen, N], moisture) within the constraints imposed by temporal and spatial variability in forage conditions. We investigated the influence of precipitation-induced shifts in forage nutritional quality and subsequent large herbivore responses across widely varying precipitation conditions in an arid environment. Specifically, we assessed seasonal changes in diet breadth and forage selection of adult female desert bighorn sheep&nbsp;</span><i>Ovis canadensis mexicana</i><span><span>&nbsp;</span>in relation to potential nutritional limitations in forage N, moisture and energy content (as proxied by dry matter digestibility, DMD). Succulents were consistently high in moisture but low in N and grasses were low in N and moisture until the wet period. Nitrogen and moisture content of shrubs and forbs varied among seasons and climatic periods, whereas trees had consistently high N and moderate moisture levels. Shrubs, trees and succulents composed most of the seasonal sheep diets but had little variation in DMD. Across all seasons during drought and during summer with average precipitation, forages selected by sheep were higher in N and moisture than that of available forage. Differences in DMD between sheep diets and available forage were minor. Diet breadth was lowest during drought and increased with precipitation, reflecting a reliance on few key forage species during drought. Overall, forage selection was more strongly associated with N and moisture content than energy content. Our study demonstrates that unlike north-temperate ungulates which are generally reported to be energy-limited, N and moisture may be more nutritionally limiting for desert ungulates than digestible energy.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/oik.04282","usgsCitation":"Cain, J.W., Gedir, J.V., Marshal, J.P., Krausman, P.R., Allen, J.D., Duff, G.C., Jansen, B., and Morgart, J.R., 2017, Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments: Oikos, v. 126, no. 10, p. 1459-1471, https://doi.org/10.1111/oik.04282.","productDescription":"13 p.","startPage":"1459","endPage":"1471","ipdsId":"IP-072425","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":438201,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B856CS","text":"USGS data release","linkHelpText":"Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments"},{"id":346983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Cabeza  Prieta  National  Wildlife  Refuge","volume":"126","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c56","contributors":{"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gedir, Jay V.","contributorId":171735,"corporation":false,"usgs":false,"family":"Gedir","given":"Jay","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":714069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshal, Jason P.","contributorId":197680,"corporation":false,"usgs":false,"family":"Marshal","given":"Jason","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Jamison D.","contributorId":171736,"corporation":false,"usgs":false,"family":"Allen","given":"Jamison","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duff, Glenn C.","contributorId":171737,"corporation":false,"usgs":false,"family":"Duff","given":"Glenn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":714073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jansen, Brian","contributorId":191917,"corporation":false,"usgs":false,"family":"Jansen","given":"Brian","email":"","affiliations":[],"preferred":false,"id":714074,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morgart, John R.","contributorId":10891,"corporation":false,"usgs":true,"family":"Morgart","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714075,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192063,"text":"70192063 - 2017 - Diet composition, quality and overlap of sympatric American pronghorn and gemsbok","interactions":[],"lastModifiedDate":"2018-02-14T14:26:28","indexId":"70192063","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Diet composition, quality and overlap of sympatric American pronghorn and gemsbok","docAbstract":"<p><span>Species with a long evolutionary history of sympatry often have mechanisms for resource partitioning that reduce competition. However, introduced non-native ungulates often compete with native ungulates and competitive effects can be exacerbated in arid regions due to low primary productivity. Our objectives were to characterize diet composition, quality, and overlap between American pronghorn&nbsp;</span><i>Antilocapra americana</i><span><span>&nbsp;</span>and introduced non-native gemsbok<span>&nbsp;</span></span><i>Oryx</i><span><span>&nbsp;</span></span><i>gazella</i><span><span>&nbsp;</span>in southcentral New Mexico, USA. Severe drought occurred between 2010 and 2011, which allowed us to evaluate drought impacts on diet composition, quality, and overlap. Using feces collected from each species, we assessed diet composition and overlap with microhistological analysis and diet quality using fecal nitrogen (FN) and fecal 2,6-diaminopimelic acid (FDAPA). Pronghorn diet was primarily composed of shrubs in the cool—dry season (64.5%) then shifted to forbs in the warm—dry (64.7%) and warm—wet (54.1%) seasons. Pronghorn diet also shifted to shrubs during drought (50.7%). Gemsbok diets were evenly distributed across forage types. Fifty-three percent of the species of plants consumed by pronghorn and gemsbok were shared; diet overlap averaged 0.44 ± 0.06 (SE) and 0.49 ± 0.06 during the warm—dry seasons of 2010 and 2011, respectively. During drought, key forage species shared between pronghorn and gemsbok included yucca<span>&nbsp;</span></span><i>Yucca</i><span><span>&nbsp;</span>spp., prickly pear<span>&nbsp;</span></span><i>Opuntia</i><span><span>&nbsp;</span>spp., globemallow<span>&nbsp;</span></span><i>Sphaeralcea coccinea</i><span><span>&nbsp;</span>and horsenettle<span>&nbsp;</span></span><i>Solanum</i><span><span>&nbsp;</span></span><i>elaeagnifolium,</i><span><span>&nbsp;</span>comprising 50% of the pronghorn and 40% of the gemsbok diets. Fecal nitrogen and FDAPA decreased in pronghorn by 26% and 27% between the warm—dry season of 2010 (non-drought) and the warm—dry season of 2011 (drought), respectively. Drought had little effect on dietary quality for gemsbok. Gemsbok can use forage with lower nutritional content giving them an advantage over pronghorn, particularly during drought periods. Pronghorn are more dependent upon precipitation, which may be important to consider in light of increasing drought frequency associated with climate change.</span></p>","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/wlb.00296","usgsCitation":"Cain, J.W., Avery, M.M., Caldwell, C.A., Abbott, L.B., and Holechek, J.L., 2017, Diet composition, quality and overlap of sympatric American pronghorn and gemsbok: Wildlife Biology, v. 2017, no. 1, p. 1-10, https://doi.org/10.2981/wlb.00296.","productDescription":"Article wlb.00296; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-079496","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00296","text":"Publisher Index Page"},{"id":346986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.69647216796874,\n              32.4031537914036\n            ],\n            [\n              -105.91644287109374,\n              32.4031537914036\n            ],\n            [\n              -105.91644287109374,\n              33.56199537293026\n            ],\n            [\n              -106.69647216796874,\n              33.56199537293026\n            ],\n            [\n              -106.69647216796874,\n              32.4031537914036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2017","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c5a","contributors":{"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avery, Mindi M.","contributorId":197681,"corporation":false,"usgs":false,"family":"Avery","given":"Mindi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abbott, Laurie B.","contributorId":57352,"corporation":false,"usgs":true,"family":"Abbott","given":"Laurie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":714077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holechek, Jerry L.","contributorId":197682,"corporation":false,"usgs":false,"family":"Holechek","given":"Jerry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192052,"text":"70192052 - 2017 - Enhancing hatch rate and survival in laboratory-reared hybrid Devils Hole Pupfish through application of antibiotics to eggs and larvae","interactions":[],"lastModifiedDate":"2017-10-23T16:38:54","indexId":"70192052","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing hatch rate and survival in laboratory-reared hybrid Devils Hole Pupfish through application of antibiotics to eggs and larvae","docAbstract":"<p><span>We evaluated the effectiveness of four antibiotics in enhancing the hatch rate, larval survival, and adult survival of hybrid Devils Hole Pupfish&nbsp;</span><i>Cyprinodon diabolis</i><span><span>&nbsp;</span>(hybridized with Ash Meadows Amargosa Pupfish<span>&nbsp;</span></span><i>C. nevadensis mionectes</i><span>). Cephalexin (CEX; concentration = 6.6 mg/L of water), chloramphenicol (CAM; 50 mg/L), erythromycin (ERY; 12.5 mg/L), and trimethoprim sulfamethoxazole (TMP-SMX; 25 mg/L) were applied as a constant bath either to incubating eggs or to larvae that hatched from untreated eggs. Hatch rate was roughly doubled by incubation in the presence of CAM (68% hatch) and TMP-SMX (66%) relative to the control (28%). Cephalexin and ERY conferred no benefit upon the hatch rate. Among fry that hatched from treated eggs, there was no increase in 15-d larval survival. However, fish that hatched from eggs treated with CAM, ERY, and TMP-SMX demonstrated enhanced survival at 360 d (51.2, 38.4, and 43.6%, respectively) and at 540 d (22.6, 6.8, and 20.2%, respectively); the untreated control had no survivors to those time points. All groups of eggs treated with antibiotics showed reductions in bacterial colony-forming units (CFUs) at 24 h posttreatment. At 120 h posttreatment, CEX-treated eggs had CFU counts similar to those of the control, whereas the TMP-SMX-treated eggs had the lowest CFU counts. Eggs treated with CAM and ERY had similar CFU counts, which were significantly reduced from the control counts. Larvae that were treated with CAM and TMP-SMX within 12 h posthatch showed enhanced 15-d survival (74% and 72%, respectively) in comparison with the control (56%). For pupfish rearing efforts in which antibiotic use is appropriate, CAM and TMP-SMX appear to provide the greatest benefit, particularly when applied to incubating eggs rather than to hatched larvae.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2016.1240123","usgsCitation":"Feuerbacher, O., Bonar, S.A., and Barrett, P.J., 2017, Enhancing hatch rate and survival in laboratory-reared hybrid Devils Hole Pupfish through application of antibiotics to eggs and larvae: North American Journal of Aquaculture, v. 79, no. 1, p. 106-114, https://doi.org/10.1080/15222055.2016.1240123.","productDescription":"9 p.","startPage":"106","endPage":"114","ipdsId":"IP-081149","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f75","contributors":{"authors":[{"text":"Feuerbacher, Olin","contributorId":187760,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","affiliations":[],"preferred":false,"id":715003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Paul J.","contributorId":187761,"corporation":false,"usgs":false,"family":"Barrett","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715004,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192048,"text":"70192048 - 2017 - Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics","interactions":[],"lastModifiedDate":"2017-10-25T15:24:39","indexId":"70192048","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics","docAbstract":"<p><span>We investigate the scientific and communicative value of time-lapse imagery by exploring applications for data collection and visualization. Time-lapse imagery has a myriad of possible applications to study and depict ecosystems and can operate at unique temporal and spatial scales to bridge the gap between large-scale satellite imagery projects and observational field research. Time-lapse data sequences, linking time-lapse imagery with data visualization, have the ability to make data come alive for a wider audience by connecting abstract numbers to images that root data in time and place. Utilizing imagery from the Platte Basin Timelapse Project, water inundation and vegetation phenology metrics are quantified via image analysis and then paired with passive monitoring data, including streamflow and water chemistry. Dynamic and interactive time-lapse data sequences elucidate the visible and invisible ecological dynamics of a significantly altered yet internationally important river system in central Nebraska.</span></p>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-09268-220330","usgsCitation":"Brinley Buckley, E.M., Allen, C.R., Forsberg, M., Farrell, M., and Caven, A.J., 2017, Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics: Ecology and Society, v. 22, no. 3, p. 1-12, https://doi.org/10.5751/ES-09268-220330.","productDescription":"Article 30; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-087649","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09268-220330","text":"Publisher Index Page"},{"id":347403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.5413818359375,\n              40.57015381856105\n            ],\n            [\n              -97.998046875,\n              40.57015381856105\n            ],\n            [\n              -97.998046875,\n              41.08556197870254\n            ],\n            [\n              -100.5413818359375,\n              41.08556197870254\n            ],\n            [\n              -100.5413818359375,\n              40.57015381856105\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f38","contributors":{"authors":[{"text":"Brinley Buckley, Emma M.","contributorId":198370,"corporation":false,"usgs":false,"family":"Brinley Buckley","given":"Emma","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":715855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":714007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forsberg, Michael","contributorId":198371,"corporation":false,"usgs":false,"family":"Forsberg","given":"Michael","email":"","affiliations":[],"preferred":false,"id":715856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, Michael","contributorId":198372,"corporation":false,"usgs":false,"family":"Farrell","given":"Michael","email":"","affiliations":[],"preferred":false,"id":715857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caven, Andrew J.","contributorId":177586,"corporation":false,"usgs":false,"family":"Caven","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715858,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192047,"text":"70192047 - 2017 - Culturally induced range infilling of eastern redcedar: a problem in ecology, an ecological problem, or both?","interactions":[],"lastModifiedDate":"2017-10-25T11:08:11","indexId":"70192047","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Culturally induced range infilling of eastern redcedar: a problem in ecology, an ecological problem, or both?","docAbstract":"<p><span>The philosopher John Passmore distinguished between (1) “problems in ecology,” or what we might call problems in scientific understanding of ecological change, and (2) “ecological problems,” or what we might call problems faced by societies due to ecological change. The spread of eastern redcedar (</span><i>Juniperus virginiana</i><span>) and conversion of the central and southern Great Plains of North America to juniper woodland might be categorized as a problem in ecology, an ecological problem, or both. Here, we integrate and apply two interdisciplinary approaches to problem-solving—social-ecological systems thinking and ecocriticism—to understand the role of human culture in recognizing, driving, and responding to cedar’s changing geographic distribution. We interpret the spread of cedar as a process of culturally induced range infilling due to the ongoing social-ecological impacts of colonization, analyze poetic literary texts to clarify the concepts that have so far informed different cultural values related to cedar, and explore the usefulness of diverse interdisciplinary collaborations and knowledge for addressing social-ecological challenges like cedar spread in the midst of rapidly unfolding global change. Our examination suggests that it is not only possible, but preferable, to address cedar spread as both a scientific and a social problem. Great Plains landscapes are teetering between grassland and woodland, and contemporary human societies both influence and choose how to cope with transitions between these ecological states. We echo previous studies in suggesting that human cultural values about stability and disturbance, especially cultural concepts of fire, will be primary driving factors in determining future trajectories of change on the Great Plains. Although invasion-based descriptors of cedar spread may be useful in ecological research and management, language based on the value of restraint could provide a common vocabulary for effective cross-disciplinary and interdisciplinary communication about the relationship between culture and cedar, as well as an ethical framework for cross-cultural communication, decision-making, and management.</span></p>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-09357-220246","usgsCitation":"Streit Krug, A., Uden, D.R., Allen, C.R., and Twidwell, D., 2017, Culturally induced range infilling of eastern redcedar: a problem in ecology, an ecological problem, or both?: Ecology and Society, v. 22, no. 2, Article 46; 15 p., https://doi.org/10.5751/ES-09357-220246.","productDescription":"Article 46; 15 p.","ipdsId":"IP-086925","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09357-220246","text":"Publisher Index Page"},{"id":347333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f3c","contributors":{"authors":[{"text":"Streit Krug, Aubrey","contributorId":198275,"corporation":false,"usgs":false,"family":"Streit Krug","given":"Aubrey","email":"","affiliations":[],"preferred":false,"id":715577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":715578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":714006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Twidwell, Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":715579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192045,"text":"70192045 - 2017 - Regime shifts and panarchies in regional scale social-ecological water systems","interactions":[],"lastModifiedDate":"2017-10-24T16:33:22","indexId":"70192045","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Regime shifts and panarchies in regional scale social-ecological water systems","docAbstract":"<div id=\"abstract_block\">In this article we summarize histories of nonlinear, complex interactions among societal, legal, and ecosystem dynamics in six North American water basins, as they respond to changing climate. These case studies were chosen to explore the conditions for emergence of adaptive governance in heavily regulated and developed social-ecological systems nested within a hierarchical governmental system. We summarize resilience assessments conducted in each system to provide a synthesis and reference by the other articles in this special feature. We also present a general framework used to evaluate the interactions between society and ecosystem regimes and the governance regimes chosen to mediate those interactions. The case studies show different ways that adaptive governance may be triggered, facilitated, or constrained by ecological and/or legal processes. The resilience assessments indicate that complex interactions among the governance and ecosystem components of these systems can produce different trajectories, which include patterns of (a) development and stabilization, (b) cycles of crisis and recovery, which includes lurches in adaptation and learning, and (3) periods of innovation, novelty, and transformation. Exploration of cross scale (Panarchy) interactions among levels and sectors of government and society illustrate that they may constrain development trajectories, but may also provide stability during crisis or innovation at smaller scales; create crises, but may also facilitate recovery; and constrain system transformation, but may also provide windows of opportunity in which transformation, and the resources to accomplish it, may occur. The framework is the starting point for our exploration of how law might play a role in enhancing the capacity of social-ecological systems to adapt to climate change.</div>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-08879-220131","usgsCitation":"Gunderson, L., Cosens, B., Chaffin, B.C., Arnold, C.A., Fremier, A., Garmestani, A.S., Kundis Craig, R., Gosnell, H., Birge, H.E., Allen, C.R., Benson, M.H., Morrison, R.R., Stone, M., Hamm, J.A., Nemec, K.T., Schlager, E., and Llewellyn, D., 2017, Regime shifts and panarchies in regional scale social-ecological water systems: Ecology and Society, v. 22, no. 1, p. 1-12, https://doi.org/10.5751/ES-08879-220131.","productDescription":"Article 31; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-081137","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-08879-220131","text":"Publisher Index Page"},{"id":347294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d7d","contributors":{"authors":[{"text":"Gunderson, Lance","contributorId":30797,"corporation":false,"usgs":true,"family":"Gunderson","given":"Lance","affiliations":[],"preferred":false,"id":715463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cosens, Barbara","contributorId":166744,"corporation":false,"usgs":false,"family":"Cosens","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":715464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaffin, Brian C.","contributorId":189131,"corporation":false,"usgs":false,"family":"Chaffin","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":715465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, Craig Anthony","contributorId":189230,"corporation":false,"usgs":false,"family":"Arnold","given":"Craig","email":"","middleInitial":"Anthony","affiliations":[],"preferred":false,"id":715466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fremier, Alexander K.","contributorId":104403,"corporation":false,"usgs":true,"family":"Fremier","given":"Alexander K.","affiliations":[],"preferred":false,"id":715467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":715468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kundis Craig, Robin","contributorId":189231,"corporation":false,"usgs":false,"family":"Kundis Craig","given":"Robin","email":"","affiliations":[],"preferred":false,"id":715469,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gosnell, Hannah","contributorId":48042,"corporation":false,"usgs":true,"family":"Gosnell","given":"Hannah","affiliations":[],"preferred":false,"id":715470,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715471,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714004,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Benson, Melinda H.","contributorId":54090,"corporation":false,"usgs":true,"family":"Benson","given":"Melinda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":715472,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morrison, Ryan R.","contributorId":198245,"corporation":false,"usgs":false,"family":"Morrison","given":"Ryan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":715473,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stone, Mark","contributorId":34335,"corporation":false,"usgs":true,"family":"Stone","given":"Mark","email":"","affiliations":[],"preferred":false,"id":715474,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hamm, Joseph A.","contributorId":197369,"corporation":false,"usgs":false,"family":"Hamm","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715475,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nemec, Kristine T.","contributorId":24650,"corporation":false,"usgs":true,"family":"Nemec","given":"Kristine","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":715476,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schlager, Edella","contributorId":197371,"corporation":false,"usgs":false,"family":"Schlager","given":"Edella","email":"","affiliations":[],"preferred":false,"id":715477,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Llewellyn, Dagmar","contributorId":187469,"corporation":false,"usgs":false,"family":"Llewellyn","given":"Dagmar","email":"","affiliations":[],"preferred":false,"id":715478,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70192044,"text":"70192044 - 2017 - Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law","interactions":[],"lastModifiedDate":"2017-10-25T15:38:28","indexId":"70192044","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law","docAbstract":"<p><span>Adaptive governance must work “on the ground,” that is, it must operate through structures and procedures that the people it governs perceive to be legitimate and fair, as well as incorporating processes and substantive goals that are effective in allowing social-ecological systems (SESs) to adapt to climate change and other impacts. To address the continuing and accelerating alterations that climate change is bringing to SESs, adaptive governance generally will require more flexibility than prior governance institutions have often allowed. However, to function as good governance, adaptive governance must pay real attention to the problem of how to balance this increased need for flexibility with continuing governance stability so that it can foster adaptation to change without being perceived or experienced as perpetually destabilizing, disruptive, and unfair. Flexibility and stability serve different purposes in governance, and a variety of tools exist to strike different balances between them while still preserving the governance institution’s legitimacy among the people governed. After reviewing those purposes and the implications of climate change for environmental governance, we examine psychological insights into the structuring of adaptive governance and the variety of legal tools available to incorporate those insights into adaptive governance regimes. Because the substantive goals of governance systems will differ among specific systems, we do not purport to comment on what the normative or substantive goals of law should be. Instead, we conclude that attention to process and procedure (including participation), as well as increased use of substantive standards (instead of rules), may allow an increased level of substantive flexibility to operate with legitimacy and fairness, providing the requisite levels of psychological, social, and economic stability needed for communities to adapt successfully to the Anthropocene.</span></p>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-08983-220203","usgsCitation":"Kundis Craig, R., Garmestani, A.S., Allen, C.R., Arnold, C.A., Birge, H.E., DeCaro, D.A., Fremier, A., Gosnell, H., and Schlager, E., 2017, Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law: Ecology and Society, v. 22, no. 2, p. 1-15, https://doi.org/10.5751/ES-08983-220203.","productDescription":"Article 3; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-079618","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-08983-220203","text":"Publisher Index Page"},{"id":347406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f3e","contributors":{"authors":[{"text":"Kundis Craig, Robin","contributorId":189231,"corporation":false,"usgs":false,"family":"Kundis Craig","given":"Robin","email":"","affiliations":[],"preferred":false,"id":715859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":715860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, Craig Anthony","contributorId":189230,"corporation":false,"usgs":false,"family":"Arnold","given":"Craig","email":"","middleInitial":"Anthony","affiliations":[],"preferred":false,"id":715869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715870,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeCaro, Daniel A.","contributorId":198374,"corporation":false,"usgs":false,"family":"DeCaro","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715871,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fremier, Alexander K.","contributorId":104403,"corporation":false,"usgs":true,"family":"Fremier","given":"Alexander K.","affiliations":[],"preferred":false,"id":715872,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gosnell, Hannah","contributorId":192214,"corporation":false,"usgs":false,"family":"Gosnell","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":715873,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schlager, Edella","contributorId":197371,"corporation":false,"usgs":false,"family":"Schlager","given":"Edella","email":"","affiliations":[],"preferred":false,"id":715874,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192030,"text":"70192030 - 2017 - Is the impact of eutrophication on phytoplankton diversity dependent on lake volume/ecosystem size?","interactions":[],"lastModifiedDate":"2017-10-24T16:40:06","indexId":"70192030","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5530,"text":"Journal of Limnology","onlineIssn":"1723-8633","active":true,"publicationSubtype":{"id":10}},"title":"Is the impact of eutrophication on phytoplankton diversity dependent on lake volume/ecosystem size?","docAbstract":"<p><span>Research focusing on biodiversity responses to the interactions of ecosystem size and anthropogenic stressors are based mainly on correlative gradient studies, and may therefore confound size-stress relationships due to spatial context and differences in local habitat features across ecosystems. We investigated how local factors related to anthropogenic stressors (</span><i>e.g.,</i><span>eutrophication) interact with ecosystem size to influence species diversity. In this study, constructed lake mesocosms (with two contrasting volumes: 1020 (shallow mesocosms) and 2150 (deep mesocosms) litres) were used to simulate ecosystems of different size and manipulated nutrient levels to simulate mesotrophic and hypertrophic conditions. Using a factorial design, we assessed how the interaction between ecosystem size and nutrients influences phytoplankton diversity. We assessed community metrics (richness, diversity, evenness and total biovolumes) and multivariate community structure over a growing season (May to early November 2011). Different community structures were found between deep and shallow mescosoms with nutrient enrichment: Cyanobacteria dominated in the deep and Charophyta in the shallow mesocosms. In contrast, phytoplankton communities were more similar to each other in the low nutrient treatments; only Chlorophyta had generally a higher biovolume in the shallow compared to the deep mesocosms. These results suggest that ecosystem size is not only a determinant of species diversity, but that it can mediate the influence of anthropogenic effects on biodiversity. Such interactions increase the uncertainty of global change outcomes, and should therefore not be ignored in risk/impact assessment and management.</span></p>","language":"English","publisher":"PAGEPress","doi":"10.4081/jlimnol.2016.1562","usgsCitation":"Baho, D.L., Drakare, S., Johnson, R.K., Allen, C.R., and Angeler, D., 2017, Is the impact of eutrophication on phytoplankton diversity dependent on lake volume/ecosystem size?: Journal of Limnology, v. 76, no. 1, p. 199-210, https://doi.org/10.4081/jlimnol.2016.1562.","productDescription":"12 p.","startPage":"199","endPage":"210","ipdsId":"IP-081134","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4081/jlimnol.2016.1562","text":"Publisher Index Page"},{"id":347295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d7f","contributors":{"authors":[{"text":"Baho, Didier L.","contributorId":166724,"corporation":false,"usgs":false,"family":"Baho","given":"Didier","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":715479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drakare, Stina","contributorId":166738,"corporation":false,"usgs":false,"family":"Drakare","given":"Stina","email":"","affiliations":[],"preferred":false,"id":715480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":715481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":715482,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191913,"text":"70191913 - 2017 - Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve","interactions":[],"lastModifiedDate":"2017-10-19T13:08:10","indexId":"70191913","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve","docAbstract":"<p><span>Remote and unique destinations present difficulties when attempting to construct traditional travel cost models to value recreation demand. The biggest limitation comes from the lack of variation in the dependent variable, defined as the number of trips taken over a set time frame. There are various approaches that can be used for overcoming limitations of the traditional travel cost model in the context of remote destinations. This study applies an adaptation of the standard model to estimate recreation benefits of bear viewing at Katmai National Park and Preserve in Alaska, which represents a once-in-a-lifetime experience for many visitors. Results demonstrate that visitors to this park’s Brooks Camp area are willing to pay an average of US$287 per day of bear viewing. Implications of these findings for valuing recreation at other remote destinations are discussed.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1369196","usgsCitation":"Richardson, L., Huber, C., and Loomis, J.B., 2017, Challenges and solutions for applying the travel cost demand model to geographically remote visitor destinations: A case study of bear viewing at Katmai National Park and Preserve: Human Dimensions of Wildlife, v. 22, no. 6, p. 550-563, https://doi.org/10.1080/10871209.2017.1369196.","productDescription":"14 p.","startPage":"550","endPage":"563","ipdsId":"IP-078280","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve","volume":"22","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-15","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c60","contributors":{"authors":[{"text":"Richardson, Leslie","contributorId":197525,"corporation":false,"usgs":false,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":713669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Christopher 0000-0001-8446-8134 chuber@usgs.gov","orcid":"https://orcid.org/0000-0001-8446-8134","contributorId":127600,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loomis, John B.","contributorId":197268,"corporation":false,"usgs":false,"family":"Loomis","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":713670,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191902,"text":"70191902 - 2017 - Continuously amplified warming in the Alaskan Arctic: Implications for estimating global warming hiatus","interactions":[],"lastModifiedDate":"2017-10-18T16:12:02","indexId":"70191902","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Continuously amplified warming in the Alaskan Arctic: Implications for estimating global warming hiatus","docAbstract":"<p><span>Historically, in situ measurements have been notoriously sparse over the Arctic. As a consequence, the existing gridded data of surface air temperature (SAT) may have large biases in estimating the warming trend in this region. Using data from an expanded monitoring network with 31 stations in the Alaskan Arctic, we demonstrate that the SAT has increased by 2.19°C in this region, or at a rate of 0.23°C/decade during 1921–2015. Meanwhile, we found that the SAT warmed at 0.71°C/decade over 1998–2015, which is 2 to 3 times faster than the rate established from the gridded data sets. Focusing on the “hiatus” period 1998–2012 as identified by the Intergovernmental Panel on Climate Change (IPCC) report, the SAT has increased at 0.45°C/decade, which captures more than 90% of the regional trend for 1951–2012. We suggest that sparse in situ measurements are responsible for underestimation of the SAT change in the gridded data sets. It is likely that enhanced climate warming may also have happened in the other regions of the Arctic since the late 1990s but left undetected because of incomplete observational coverage.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL074232","usgsCitation":"Wang, K., Zhang, T., Zhang, X., Clow, G.D., Jafarov, E.E., Overeem, I., Romanovsky, V., Peng, X., and Cao, B., 2017, Continuously amplified warming in the Alaskan Arctic: Implications for estimating global warming hiatus: Geophysical Research Letters, v. 44, no. 17, p. 9029-9038, https://doi.org/10.1002/2017GL074232.","productDescription":"10 p.","startPage":"9029","endPage":"9038","ipdsId":"IP-087891","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469468,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1396127","text":"External Repository"},{"id":346908,"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              -168.3544921875,\n              67.65938637009882\n            ],\n            [\n              -141.328125,\n              67.65938637009882\n            ],\n            [\n              -141.328125,\n              71.49703690095419\n            ],\n            [\n              -168.3544921875,\n              71.49703690095419\n            ],\n            [\n              -168.3544921875,\n              67.65938637009882\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-13","publicationStatus":"PW","scienceBaseUri":"59e86833e4b05fe04cd4d1d8","contributors":{"authors":[{"text":"Wang, Kang","contributorId":197483,"corporation":false,"usgs":false,"family":"Wang","given":"Kang","email":"","affiliations":[],"preferred":false,"id":713597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Tingjun","contributorId":197484,"corporation":false,"usgs":false,"family":"Zhang","given":"Tingjun","email":"","affiliations":[],"preferred":false,"id":713598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Xiangdong","contributorId":197485,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiangdong","email":"","affiliations":[],"preferred":false,"id":713599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":713596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jafarov, Elchin E.","contributorId":197486,"corporation":false,"usgs":false,"family":"Jafarov","given":"Elchin","email":"","middleInitial":"E.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":713600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Overeem, Irina","contributorId":197487,"corporation":false,"usgs":false,"family":"Overeem","given":"Irina","email":"","affiliations":[],"preferred":false,"id":713601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romanovsky, Vladimir","contributorId":175208,"corporation":false,"usgs":false,"family":"Romanovsky","given":"Vladimir","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":713602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peng, Xiaoqing","contributorId":197488,"corporation":false,"usgs":false,"family":"Peng","given":"Xiaoqing","email":"","affiliations":[],"preferred":false,"id":713603,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cao, Bin","contributorId":197489,"corporation":false,"usgs":false,"family":"Cao","given":"Bin","email":"","affiliations":[],"preferred":false,"id":713604,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70191792,"text":"70191792 - 2017 - Shifts in an invasive rodent community favoring black rats (Rattus rattus) following restoration of native forest","interactions":[],"lastModifiedDate":"2018-01-08T14:37:38","indexId":"70191792","displayToPublicDate":"2017-10-01T00:00:00","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}},"displayTitle":"Shifts in an invasive rodent community favoring Black rats (<i>Rattus rattus</i>) following restoration of native forest","title":"Shifts in an invasive rodent community favoring black rats (Rattus rattus) following restoration of native forest","docAbstract":"<p><span>One potential, unintended ecological consequence accompanying forest restoration is a shift in invasive animal populations, potentially impacting conservation targets. Eighteen years after initial restoration (ungulate exclusion, invasive plant control, and out planting native species) at a 4 ha site on Maui, Hawai'i, we compared invasive rodent communities in a restored native dry forest and adjacent non-native grassland. Quarterly for 1 year, we trapped rodents on three replicate transects (107 rodent traps) in each habitat type for three consecutive nights. While repeated trapping may have reduced the rat (Black rat,&nbsp;</span><i>Rattus rattus</i><span>) population in the forest, it did not appear to reduce the mouse (House mouse,<span>&nbsp;</span></span><i>Mus musculus</i><span>) population in the grassland. In unrestored grassland, mouse captures outnumbered rat captures 220:1, with mice averaging 54.9 indiv./night versus rats averaging 0.25 indiv./night. In contrast, in restored native forest, rat captures outnumbered mouse captures by nearly 5:1, averaging 9.0 indiv./night versus 1.9 indiv./night for mice. Therefore, relatively recent native forest restoration increased Black rat abundance and also increased their total biomass in the restored ecosystem 36-fold while reducing House mouse biomass 35-fold. Such a community shift is worrisome because Black rats pose a much greater threat than do mice to native birds and plants, perhaps especially to large-seeded tree species. Land managers should be aware that forest restoration (i.e. converting grassland to native forest) can invoke shifts in invasive rodent populations, potentially favoring Black rats. Without intervention, this shift may pose risks for intended conservation targets and modify future forest restoration trajectories.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12494","usgsCitation":"Shiels, A.B., Medeiros, A.C., and von Allmen, E.I., 2017, Shifts in an invasive rodent community favoring black rats (Rattus rattus) following restoration of native forest: Restoration Ecology, v. 25, no. 5, p. 759-767, https://doi.org/10.1111/rec.12494.","productDescription":"9 p.","startPage":"759","endPage":"767","ipdsId":"IP-080123","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":347244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-29","publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d81","contributors":{"authors":[{"text":"Shiels, Aaron B.","contributorId":197336,"corporation":false,"usgs":false,"family":"Shiels","given":"Aaron","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":713204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medeiros, Arthur C. 0000-0002-8090-8451 amedeiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8090-8451","contributorId":2152,"corporation":false,"usgs":true,"family":"Medeiros","given":"Arthur","email":"amedeiros@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":713203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"von Allmen, Erica I.","contributorId":197337,"corporation":false,"usgs":false,"family":"von Allmen","given":"Erica","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":713205,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191679,"text":"70191679 - 2017 - Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes","interactions":[],"lastModifiedDate":"2017-10-17T16:24:36","indexId":"70191679","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes","docAbstract":"<p><span>Climate change has already influenced lake temperatures globally, but understanding future change is challenging. The response of lakes to changing climate drivers is complex due to the nature of lake-atmosphere coupling, ice cover, and stratification. To better understand the diversity of lake responses to climate change and give managers insight on individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota, and Wisconsin for contemporary (1979–2015) and future (2020–2040 and 2080–2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. In addition to lake-specific daily simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We include all supporting lake-specific model parameters, meteorological drivers, and archived code for the model and derived metric calculations. This unique dataset offers landscape-level insight into the impact of climate change on lakes.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/sdata.2017.53","usgsCitation":"Winslow, L.A., Hansen, G.J., Read, J.S., and Notaro, M., 2017, Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes: Scientific Data, v. 4, p. 1-11, https://doi.org/10.1038/sdata.2017.53.","productDescription":"Article number: 170053; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-079867","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":482062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2017.53","text":"Publisher Index Page"},{"id":346755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-83.880387,41.720089],[-86.824828,41.76024],[-86.24971,42.480212],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.617955,43.768596],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-83.880387,41.720089]]],[[[-90.418136,46.566094],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192],[-90.614589,42.508053],[-91.078097,42.806526],[-91.177728,43.118733],[-91.062562,43.243165],[-91.217706,43.50055],[-96.453049,43.500415],[-96.452948,45.268925],[-96.835451,45.586129],[-96.587093,45.816445],[-96.559271,46.058272],[-96.789572,46.639079],[-96.851293,47.589264],[-97.139497,48.153108],[-97.108655,48.691484],[-97.238387,48.982631],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.735927,47.624343],[-92.058888,46.809938],[-92.025789,46.710839],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.418136,46.566094]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Michigan\",\"nation\":\"USA  \"}}]}","volume":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-25","publicationStatus":"PW","scienceBaseUri":"59e7168ee4b05fe04cd33182","contributors":{"authors":[{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":713042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":713043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Notaro, Michael","contributorId":197249,"corporation":false,"usgs":false,"family":"Notaro","given":"Michael","email":"","affiliations":[],"preferred":false,"id":713045,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191677,"text":"70191677 - 2017 - Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures","interactions":[],"lastModifiedDate":"2017-10-17T16:35:32","indexId":"70191677","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures","docAbstract":"<p><span>Responses in lake temperatures to climate warming have primarily been characterized using seasonal metrics of surface-water temperatures such as summertime or stratified period average temperatures. However, climate warming may not affect water temperatures equally across seasons or depths. We analyzed a long-term dataset (1981–2015) of biweekly water temperature data in six temperate lakes in Wisconsin, U.S.A. to understand (1) variability in monthly rates of surface- and deep-water warming, (2) how those rates compared to summertime average trends, and (3) if monthly heterogeneity in water temperature trends can be predicted by heterogeneity in air temperature trends. Monthly surface-water temperature warming rates varied across the open-water season, ranging from 0.013 in August to 0.073°C yr</span><sup>−1</sup><span><span>&nbsp;</span>in September (standard deviation [SD]: 0.025°C yr</span><sup>−1</sup><span>). Deep-water trends during summer varied less among months (SD: 0.006°C yr</span><sup>−1</sup><span>), but varied broadly among lakes (–0.056°C yr</span><sup>−1</sup><span><span>&nbsp;</span>to 0.035°C yr</span><sup>−1</sup><span>, SD: 0.034°C yr</span><sup>−1</sup><span>). Trends in monthly surface-water temperatures were well correlated with air temperature trends, suggesting monthly air temperature trends, for which data exist at broad scales, may be a proxy for seasonal patterns in surface-water temperature trends during the open water season in lakes similar to those studied here. Seasonally variable warming has broad implications for how ecological processes respond to climate change, because phenological events such as fish spawning and phytoplankton succession respond to specific, seasonal temperature cues.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lno.10557","usgsCitation":"Winslow, L., Read, J.S., Hansen, G.J., Rose, K., and Robertson, D.M., 2017, Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures: Limnology and Oceanography, v. 62, no. 5, p. 2168-2178, https://doi.org/10.1002/lno.10557.","productDescription":"11 p.","startPage":"2168","endPage":"2178","ipdsId":"IP-074340","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":469470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10557","text":"Publisher Index Page"},{"id":346756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"62","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd33188","contributors":{"authors":[{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":713034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":713035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":713036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Kevin C.","contributorId":64580,"corporation":false,"usgs":true,"family":"Rose","given":"Kevin C.","affiliations":[],"preferred":false,"id":713037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713038,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192866,"text":"70192866 - 2017 - Network analysis of a regional fishery: Implications for management of natural resources, and recruitment and retention of anglers","interactions":[],"lastModifiedDate":"2017-11-08T11:03:45","indexId":"70192866","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Network analysis of a regional fishery: Implications for management of natural resources, and recruitment and retention of anglers","docAbstract":"<p><span>Angler groups and water-body types interact to create a complex social-ecological system. Network analysis could inform detailed mechanistic models on, and provide managers better information about, basic patterns of fishing activity. Differences in behavior and reservoir selection among angler groups in a regional fishery, the Salt Valley fishery in southeastern Nebraska, USA, were assessed using a combination of cluster and network analyses. The four angler groups assessed ranged from less active, unskilled anglers (group One) to highly active, very skilled anglers (group Four). Reservoir use patterns and the resulting network communities of these four angler groups differed; the number of reservoir communities for these groups ranged from two to three and appeared to be driven by reservoir location (group One), reservoir size and its associated attributes (groups Two and Four), or an interaction between reservoir size and location (group Three). Network analysis is a useful tool to describe differences in participation among angler groups within a regional fishery, and provides new insights about possible recruitment of anglers. For example, group One anglers fished reservoirs closer to home and had a greater probability of dropping out if local reservoir access were restricted.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2017.05.007","usgsCitation":"Martin, D., Shizuka, D., Chizinski, C.J., and Pope, K.L., 2017, Network analysis of a regional fishery: Implications for management of natural resources, and recruitment and retention of anglers: Fisheries Research, v. 194, p. 31-41, https://doi.org/10.1016/j.fishres.2017.05.007.","productDescription":"11 p.","startPage":"31","endPage":"41","ipdsId":"IP-064777","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"194","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b3e4b0dc0b45b4531d","contributors":{"authors":[{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shizuka, Daizaburo","contributorId":62048,"corporation":false,"usgs":true,"family":"Shizuka","given":"Daizaburo","email":"","affiliations":[],"preferred":false,"id":721048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194440,"text":"70194440 - 2017 - Optimal control of an invasive species using a reaction-diffusion model and linear programming","interactions":[],"lastModifiedDate":"2017-11-29T13:24:24","indexId":"70194440","displayToPublicDate":"2017-10-01T00:00:00","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":"Optimal control of an invasive species using a reaction-diffusion model and linear programming","docAbstract":"<p><span>Managing an invasive species is particularly challenging as little is generally known about the species’ biological characteristics in its new habitat. In practice, removal of individuals often starts before the species is studied to provide the information that will later improve control. Therefore, the locations and the amount of control have to be determined in the face of great uncertainty about the species characteristics and with a limited amount of resources. We propose framing spatial control as a linear programming optimization problem. This formulation, paired with a discrete reaction-diffusion model, permits calculation of an optimal control strategy that minimizes the remaining number of invaders for a fixed cost or that minimizes the control cost for containment or protecting specific areas from invasion. We propose computing the optimal strategy for a range of possible model parameters, representing current uncertainty on the possible invasion scenarios. Then, a best strategy can be identified depending on the risk attitude of the decision-maker. We use this framework to study the spatial control of the Argentine black and white tegus (</span><i>Salvator merianae</i><span>) in South Florida. There is uncertainty about tegu demography and we considered several combinations of model parameters, exhibiting various dynamics of invasion. For a fixed one-year budget, we show that the risk-averse strategy, which optimizes the worst-case scenario of tegus’ dynamics, and the risk-neutral strategy, which optimizes the expected scenario, both concentrated control close to the point of introduction. A risk-seeking strategy, which optimizes the best-case scenario, focuses more on models where eradication of the species in a cell is possible and consists of spreading control as much as possible. For the establishment of a containment area, assuming an exponential growth we show that with current control methods it might not be possible to implement such a strategy for some of the models that we considered. Including different possible models allows an examination of how the strategy is expected to perform in different scenarios. Then, a strategy that accounts for the risk attitude of the decision-maker can be designed.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1979","usgsCitation":"Bonneau, M., Johnson, F.A., Smith, B.J., Romagosa, C.M., Martin, J., and Mazzotti, F., 2017, Optimal control of an invasive species using a reaction-diffusion model and linear programming: Ecosphere, v. 8, no. 10, p. 1-17, https://doi.org/10.1002/ecs2.1979.","productDescription":"Article e01979; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-079217","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1979","text":"Publisher Index Page"},{"id":349539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.59364318847656,\n              25.26146360779529\n            ],\n            [\n              -80.29769897460938,\n              25.26146360779529\n            ],\n            [\n              -80.29769897460938,\n              25.572175556682115\n            ],\n            [\n              -80.59364318847656,\n              25.572175556682115\n            ],\n            [\n              -80.59364318847656,\n              25.26146360779529\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"10","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-24","publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e11","contributors":{"authors":[{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":723816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":723815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Brian J. 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":899,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":723817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":723819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":723820,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191643,"text":"70191643 - 2017 - Experimental landscape reduction of wild rodents increases movements in the invasive brown treesnake (Boiga irregularis)","interactions":[],"lastModifiedDate":"2017-10-18T11:39:52","indexId":"70191643","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Experimental landscape reduction of wild rodents increases movements in the invasive brown treesnake (<i>Boiga irregularis</i>)","title":"Experimental landscape reduction of wild rodents increases movements in the invasive brown treesnake (Boiga irregularis)","docAbstract":"<p><span>Experimental studies evaluating the effects of food availability on the movement of free-ranging animals generally involve food supplementation rather than suppression. Both approaches can yield similar insights, but we were interested in the potential for using food suppression for the management and control of invasive predators, in particular, the brown treesnake (</span><i>Boiga irregularis</i><span>) on Guam. However, understanding a species’ response to food resources is critical before employing such a strategy. We studied the movements of 24 radio-tagged<span>&nbsp;</span></span><i>B. irregularis</i><span><span>&nbsp;</span>initially caught within four 4-ha unfenced plots in rodent-abundant (control) and rodent-suppressed (treatment) grassland habitats over a 40-day period. Because monitoring duration differed among snakes, we also analyzed short-term (16-day) activity areas. Over the 16 days, snakes associated with rodent-suppressed plots had 86% larger activity areas (ha), 94% greater dispersal distances (m), and 43% greater movement rates (m/h) than snakes associated with control plots.<span>&nbsp;</span></span><i>Boiga irregularis</i><span><span>&nbsp;</span>moved extensively, but these movements were not always reflected in the size of the snake’s total activity area. Movement rates did not differ between sexes, but snakes in above-average body condition moved greater distances per hour than those in below-average condition irrespective of treatment. Our study indicates that a relatively small prey suppression effort can cause almost immediate and significant changes in<span>&nbsp;</span></span><i>B. irregularis</i><span>movement. On Guam, prey suppression might enhance control efforts by either increasing trap capture success or discouraging snakes from entering areas of conservation or management concern. However, the outcome of using prey suppression as a control tool in areas threatened with the accidental introduction of the brown treesnake is more difficult to predict and might have negative consequences such as elevated dispersal rates.</span></p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2017.8.4.01","usgsCitation":"Christy, M., Savidge, J.A., Yackel Adams, A., Gragg, J.E., and Rodda, G.H., 2017, Experimental landscape reduction of wild rodents increases movements in the invasive brown treesnake (Boiga irregularis): Management of Biological Invasions, v. 8, no. 4, p. 455-467, https://doi.org/10.3391/mbi.2017.8.4.01.","productDescription":"13 p.","startPage":"455","endPage":"467","ipdsId":"IP-070025","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2017.8.4.01","text":"Publisher Index Page"},{"id":346845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86834e4b05fe04cd4d1df","contributors":{"authors":[{"text":"Christy, Michelle","contributorId":197210,"corporation":false,"usgs":false,"family":"Christy","given":"Michelle","affiliations":[],"preferred":false,"id":712946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savidge, Julie A.","contributorId":175196,"corporation":false,"usgs":false,"family":"Savidge","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":712947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackel Adams, Amy A. yackela@usgs.gov","contributorId":141033,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy A.","email":"yackela@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":712945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gragg, James E.","contributorId":197211,"corporation":false,"usgs":false,"family":"Gragg","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodda, Gordon H. roddag@usgs.gov","contributorId":3196,"corporation":false,"usgs":true,"family":"Rodda","given":"Gordon","email":"roddag@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":712949,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193413,"text":"70193413 - 2017 - Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?","interactions":[],"lastModifiedDate":"2017-11-20T13:35:31","indexId":"70193413","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?","docAbstract":"<p><span>Prioritization methodologies are often used for identifying those pharmaceuticals that pose the greatest risk to the natural environment and to focus laboratory testing or environmental monitoring toward pharmaceuticals of greatest concern. Risk-based prioritization approaches, employing models to derive exposure concentrations, are commonly used, but the reliability of these models is unclear. The present study evaluated the accuracy of exposure models commonly used for pharmaceutical prioritization. Targeted monitoring was conducted for 95 pharmaceuticals in the Rivers Foss and Ouse in the City of York (UK). Predicted environmental concentration (PEC) ranges were estimated based on localized prescription, hydrological data, reported metabolism, and wastewater treatment plant (WWTP) removal rates, and were compared with measured environmental concentrations (MECs). For the River Foss, PECs, obtained using highest metabolism and lowest WWTP removal, were similar to MECs. In contrast, this trend was not observed for the River Ouse, possibly because of pharmaceutical inputs unaccounted for by our modeling. Pharmaceuticals were ranked by risk based on either MECs or PECs. With 2 exceptions (dextromethorphan and diphenhydramine), risk ranking based on both MECs and PECs produced similar results in the River Foss. Overall, these findings indicate that PECs may well be appropriate for prioritization of pharmaceuticals in the environment when robust and local data on the system of interest are available and reflective of most source inputs.&nbsp;</span></p>","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3842","usgsCitation":"Burns, E.E., Thomas-Oates, J., Kolpin, D.W., Furlong, E.T., and Boxall, A.B., 2017, Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?: Environmental Toxicology and Chemistry, v. 36, no. 10, p. 2823-2832, https://doi.org/10.1002/etc.3842.","productDescription":"10 p.","startPage":"2823","endPage":"2832","ipdsId":"IP-084959","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":469564,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orcid.org/0000-0003-4236-6409>,","text":"External Repository"},{"id":349138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom","city":"City of York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -1.1940765380859375,\n              53.911619008118656\n            ],\n            [\n              -0.9976959228515625,\n              53.911619008118656\n            ],\n            [\n              -0.9976959228515625,\n              54.05374516606874\n            ],\n            [\n              -1.1940765380859375,\n              54.05374516606874\n            ],\n            [\n              -1.1940765380859375,\n              53.911619008118656\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-06","publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e91","contributors":{"authors":[{"text":"Burns, Emily E.","contributorId":199400,"corporation":false,"usgs":false,"family":"Burns","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":718961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas-Oates, Jane","contributorId":195997,"corporation":false,"usgs":false,"family":"Thomas-Oates","given":"Jane","email":"","affiliations":[],"preferred":false,"id":718962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boxall, Alistair B.A.","contributorId":187614,"corporation":false,"usgs":false,"family":"Boxall","given":"Alistair","email":"","middleInitial":"B.A.","affiliations":[],"preferred":false,"id":718963,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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