{"pageNumber":"1018","pageRowStart":"25425","pageSize":"25","recordCount":184914,"records":[{"id":70193033,"text":"70193033 - 2017 - Top-down control of invertebrates by Ninespine Stickleback in Arctic ponds","interactions":[],"lastModifiedDate":"2018-06-20T20:06:56","indexId":"70193033","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Top-down control of invertebrates by Ninespine Stickleback in Arctic ponds","docAbstract":"<p><span>Despite their widespread presence in northern-latitude ecosystems, the ecological role of Ninespine Stickleback&nbsp;</span><i>Pungitius pungitius</i><span><span>&nbsp;</span>is not well understood. Ninespine Stickleback can occupy both top and intermediate trophic levels in freshwater ecosystems, so their role in food webs as a predator on invertebrates and as a forage fish for upper level consumers probably is substantial. We introduced Ninespine Sticklebacks to fishless ponds to elucidate their potential effects as a predator on invertebrate communities in Arctic lentic freshwaters. We hypothesized that Ninespine Stickleback would affect freshwater invertebrate communities in a top-down manner. We predicted that the addition of Ninespine Sticklebacks to fishless ponds would: 1) reduce invertebrate taxonomic richness, 2) decrease overall invertebrate abundance, 3) reduce invertebrate biomass, and 4) decrease average invertebrate body size. We tested our hypothesis at 2 locations by adding Ninespine Stickleback to isolated ponds and compared invertebrate communities over time between fish-addition and fishless control ponds. Ninespine Sticklebacks exerted strong top-down pressure on invertebrate communities mainly by changing invertebrate taxonomic richness and biomass and, to a lesser extent, abundance and average invertebrate size. Our results supported the hypothesis that Ninespine Stickleback may help shape lentic food webs in the Arctic.</span></p>","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/690675","usgsCitation":"Laske, S.M., Rosenberger, A.E., Kane, W.J., Wipfli, M.S., and Zimmerman, C.E., 2017, Top-down control of invertebrates by Ninespine Stickleback in Arctic ponds: Freshwater Science, v. 36, no. 1, p. 124-137, https://doi.org/10.1086/690675.","productDescription":"14 p.","startPage":"124","endPage":"137","ipdsId":"IP-076980","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348315,"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              -157.7471923828125,\n              70.12542991464234\n            ],\n            [\n              -154.423828125,\n              70.12542991464234\n            ],\n            [\n              -154.423828125,\n              71.41317683396566\n            ],\n            [\n              -157.7471923828125,\n              71.41317683396566\n            ],\n            [\n              -157.7471923828125,\n              70.12542991464234\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e929e4b09af898c8cc03","contributors":{"authors":[{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":720804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kane, William J.","contributorId":200058,"corporation":false,"usgs":false,"family":"Kane","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":720807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":720808,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192616,"text":"70192616 - 2017 - The basis function approach for modeling autocorrelation in ecological data","interactions":[],"lastModifiedDate":"2017-11-10T11:17:00","indexId":"70192616","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The basis function approach for modeling autocorrelation in ecological data","docAbstract":"<p><span>Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many seemingly disparate statistical methods used to account for autocorrelation can be expressed as regression models that include basis functions. Basis functions also enable ecologists to modify a wide range of existing ecological models in order to account for autocorrelation, which can improve inference and predictive accuracy. Furthermore, understanding the properties of basis functions is essential for evaluating the fit of spatial or time-series models, detecting a hidden form of collinearity, and analyzing large data sets. We present important concepts and properties related to basis functions and illustrate several tools and techniques ecologists can use when modeling autocorrelation in ecological data.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1674","usgsCitation":"Hefley, T.J., Broms, K.M., Brost, B.M., Buderman, F.E., Kay, S.L., Scharf, H., Tipton, J., Williams, P.J., and Hooten, M., 2017, The basis function approach for modeling autocorrelation in ecological data: Ecology, v. 98, no. 3, p. 632-646, https://doi.org/10.1002/ecy.1674.","productDescription":"15 p.","startPage":"632","endPage":"646","ipdsId":"IP-070118","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470033,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1606.05658","text":"External Repository"},{"id":348572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cfe4b09af898c86138","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Broms, Kristin M.","contributorId":171524,"corporation":false,"usgs":false,"family":"Broms","given":"Kristin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brost, Brian M.","contributorId":171484,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kay, Shannon L.","contributorId":193049,"corporation":false,"usgs":false,"family":"Kay","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721578,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scharf, Henry","contributorId":200238,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","affiliations":[],"preferred":false,"id":721579,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tipton, John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":721580,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721581,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716562,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70193485,"text":"70193485 - 2017 - Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment","interactions":[],"lastModifiedDate":"2017-11-10T11:05:48","indexId":"70193485","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Conservation status of the American horseshoe crab, (<i>Limulus polyphemus</i>): A regional assessment","title":"Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment","docAbstract":"<p>Horseshoe crabs have persisted for more than 200 million years, and fossil forms date to 450 million years ago. The American horseshoe crab (<i class=\"EmphasisTypeItalic \">Limulus polyphemus</i>), one of four extant horseshoe crab species, is found along the Atlantic coastline of North America ranging from Alabama to Maine, USA with another distinct population on the coasts of Campeche, Yucatán and Quintana Roo in the Yucatán Peninsula, México. Although the American horseshoe crab tolerates broad environmental conditions, exploitation and habitat loss threaten the species. We assessed the conservation status of the American horseshoe crab by comprehensively reviewing available scientific information on its range, life history, genetic structure, population trends and analyses, major threats, and conservation. We structured the status assessment by six genetically-informed regions and accounted for sub-regional differences in environmental conditions, threats, and management. The transnational regions are Gulf of Maine (USA), Mid-Atlantic (USA), Southeast (USA), Florida Atlantic (USA), Northeast Gulf of México (USA), and Yucatán Peninsula (México). Our conclusion is that the American horseshoe crab species is vulnerable to local extirpation and that the degree and extent of risk vary among and within the regions. The risk is elevated in the Gulf of Maine region due to limited and fragmented habitat. The populations of horseshoe crabs in the Mid-Atlantic region are stable in the Delaware Bay area, and regulatory controls are in place, but the risk is elevated in the New England area as evidenced by continuing declines understood to be caused by over-harvest. The populations of horseshoe crabs in the Southeast region are stable or increasing. The populations of horseshoe crabs in the Florida Atlantic region show mixed trends among areas, and continuing population reductions at the embayment level have poorly understood causes. Within the Northeast Gulf of Mexico, causes of population trends are poorly understood and currently there is no active management of horseshoe crabs. Horseshoe crabs within México have conservation protection based on limited and fragmented habitat and geographic isolation from other regions, but elevated risk applies to the horseshoe crabs in the Yucatán Peninsula region until sufficient data can confirm population stability. Future species status throughout its range will depend on the effectiveness of conservation to mitigate habitat loss and manage for sustainable harvest among and within regions.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11160-016-9461-y","usgsCitation":"Smith, D.R., Brockmann, H.J., Beekey, M.A., King, T.L., Millard, M., and Zaldivar-Rae, J., 2017, Conservation status of the American horseshoe crab, (Limulus polyphemus): A regional assessment: Reviews in Fish Biology and Fisheries, v. 27, no. 1, p. 135-175, https://doi.org/10.1007/s11160-016-9461-y.","productDescription":"41 p.","startPage":"135","endPage":"175","ipdsId":"IP-072969","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-016-9461-y","text":"Publisher Index Page"},{"id":348566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"27","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-10","publicationStatus":"PW","scienceBaseUri":"5a06c8cfe4b09af898c86135","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":721551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brockmann, H. Jane","contributorId":199472,"corporation":false,"usgs":false,"family":"Brockmann","given":"H.","email":"","middleInitial":"Jane","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":721552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beekey, Mark A.","contributorId":199471,"corporation":false,"usgs":false,"family":"Beekey","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":35545,"text":"Sacred Heart University","active":true,"usgs":false}],"preferred":false,"id":721558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":721559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millard, Mike","contributorId":194166,"corporation":false,"usgs":false,"family":"Millard","given":"Mike","email":"","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":721560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zaldivar-Rae, Jaime","contributorId":199473,"corporation":false,"usgs":false,"family":"Zaldivar-Rae","given":"Jaime","email":"","affiliations":[{"id":35546,"text":"Anáhuac Mayab University","active":true,"usgs":false}],"preferred":false,"id":721561,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182825,"text":"70182825 - 2017 - Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures","interactions":[],"lastModifiedDate":"2017-03-01T15:03:24","indexId":"70182825","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures","docAbstract":"Land-based sediment and contaminant runoff is a major threat to coral reefs, and runoff reduction efforts would benefit from knowledge of specific runoff sources. Geochemical signatures of small drainage basins were determined in the fine fraction of soil and sediment, then used in the nearshore region of a coral reef-fringed urban embayment on southeast Oahu, Hawaii, to describe sources and dispersal of land-based runoff. The sedimentary rare earth element ratio (La/Yb)N showed a clear distinction between the two main rock types in the overall contributing area, tholeiitic and alkalic olivine basalt. Based on this geochemical signature it was apparent that the majority of terrigenous sediment on the reef flat originated from geologically old tholeiitic drainages. Sediment from one of five tholeiitic drainages had a distinct geochemical signature, and sediment with this signature was dispersed on the reef flat 2 km west and 150 m offshore of the contributing basin. Sediment and the anthropogenic metals Cd, Pb, and Zn were entrained in runoff from the most heavily urbanized region of the watershed. Although anthropogenic Cd and Zn had localized distributions close to shore, anthropogenic Pb was found associated with fine sediment on the westernmost part of the reef flat and 400 m offshore, illustrating how trade-wind-driven sediment transport can increase the scale of runoff impacts to nearshore communities. Our findings show that sediment geochemical signatures can provide insights about the source and dispersal of land-based runoff in shallow coastal environments. The application of such knowledge to watershed management and habitat remediation efforts can aid in the protection and restoration of runoff-impacted coastal ecosystems worldwide.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2017.02.013","usgsCitation":"Takesue, R.K., and Storlazzi, C.D., 2017, Sources and dispersal of land-based runoff from small Hawaiian drainages to a coral reef: Insights from geochemical signatures: Estuarine, Coastal and Shelf Science, v. 188, p. 69-80, https://doi.org/10.1016/j.ecss.2017.02.013.","productDescription":"12 p.","startPage":"69","endPage":"80","ipdsId":"IP-077727","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2017.02.013","text":"Publisher Index 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rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":673909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":673910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189498,"text":"70189498 - 2017 - Isotopic niches support the resource breadth hypothesis","interactions":[],"lastModifiedDate":"2018-03-28T11:19:38","indexId":"70189498","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic niches support the resource breadth hypothesis","docAbstract":"<ol id=\"jane12629-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Because a broad spectrum of resource use allows species to persist in a wide range of habitat types, and thus permits them to occupy large geographical areas, and because broadly distributed species have access to more diverse resource bases, the resource breadth hypothesis posits that the diversity of resources used by organisms should be positively related with the extent of their geographic ranges.</li><li>We investigated isotopic niche width in a small radiation of South American birds in the genus<span>&nbsp;</span><i>Cinclodes</i>. We analysed feathers of 12 species of<span>&nbsp;</span><i>Cinclodes</i><span>&nbsp;</span>to test the isotopic version of the resource breadth hypothesis and to examine the correlation between isotopic niche breadth and morphology.</li><li>We found a positive correlation between the widths of hydrogen and oxygen isotopic niches (which estimate breadth of elevational range) and widths of the carbon and nitrogen isotopic niches (which estimates the diversity of resources consumed, and hence of habitats used). We also found a positive correlation between broad isotopic niches and wing morphology.</li><li>Our study not only supports the resource breadth hypothesis but it also highlights the usefulness of stable isotope analyses as tools in the exploration of ecological niches. It is an example of a macroecological application of stable isotopes. It also illustrates the importance of scientific collections in ecological studies.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12629","usgsCitation":"Rader, J.A., Newsome, S.D., Sabat, P., Chesser, R., Dillon, M.E., and Martinez del Rio, C., 2017, Isotopic niches support the resource breadth hypothesis: Journal of Animal Ecology, v. 86, no. 2, p. 405-413, https://doi.org/10.1111/1365-2656.12629.","productDescription":"9 p.","startPage":"405","endPage":"413","ipdsId":"IP-061200","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12629","text":"Publisher Index Page"},{"id":343827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-01-30","publicationStatus":"PW","scienceBaseUri":"5968869fe4b0d1f9f05f598c","contributors":{"authors":[{"text":"Rader, Jonathan A.","contributorId":131178,"corporation":false,"usgs":false,"family":"Rader","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":7269,"text":"Univ. of Wyoming","active":true,"usgs":false}],"preferred":false,"id":704912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":704913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sabat, Pablo","contributorId":131180,"corporation":false,"usgs":false,"family":"Sabat","given":"Pablo","email":"","affiliations":[{"id":7270,"text":"Univ. of Chile","active":true,"usgs":false}],"preferred":false,"id":704914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":704915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dillon, Michael E.","contributorId":131179,"corporation":false,"usgs":false,"family":"Dillon","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":7269,"text":"Univ. of Wyoming","active":true,"usgs":false}],"preferred":false,"id":704916,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martinez del Rio, Carlos","contributorId":29705,"corporation":false,"usgs":true,"family":"Martinez del Rio","given":"Carlos","affiliations":[],"preferred":false,"id":704917,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188344,"text":"70188344 - 2017 - Toppling analysis of the Echo Cliffs precariously balanced rock","interactions":[],"lastModifiedDate":"2022-11-02T14:00:48.646049","indexId":"70188344","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Toppling analysis of the Echo Cliffs precariously balanced rock","docAbstract":"<p><span>Toppling analysis of a precariously balanced rock (PBR) can provide insight into the nature of ground motion that has not occurred at that location in the past and, by extension, can constrain peak ground motions for use in engineering design. Earlier approaches have targeted 2D models of the rock or modeled the rock–pedestal contact using spring‐damper assemblies that require recalibration for each rock. Here, a method to model PBRs in 3D is presented through a case study of the Echo Cliffs PBR. The 3D model is created from a point cloud of the rock, the pedestal, and their interface, obtained using terrestrial laser scanning. The dynamic response of the model under earthquake excitation is simulated using a rigid‐body dynamics algorithm. The veracity of this approach is demonstrated through comparisons against data from shake‐table experiments. Fragility maps for toppling probability of the Echo Cliffs PBR as a function of various ground‐motion parameters, rock–pedestal interface friction coefficient, and excitation direction are presented. These fragility maps indicate that the toppling probability of this rock is low (less than 0.2) for peak ground acceleration (PGA) and peak ground velocity (PGV) lower than 3  m/s</span><sup>2</sup><span> and 0.75  m/s, respectively, suggesting that the ground‐motion intensities at this location from earthquakes on nearby faults have most probably not exceeded the above‐mentioned PGA and PGV during the age of the PBR. Additionally, the fragility maps generated from this methodology can also be directly coupled with existing probabilistic frameworks to obtain direct constraints on unexceeded ground motion at a PBR’s location.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160169","usgsCitation":"Veeraraghavan, S., Hudnut, K.W., and Krishnan, S., 2017, Toppling analysis of the Echo Cliffs precariously balanced rock: Bulletin of the Seismological Society of America, v. 107, no. 1, p. 72-84, https://doi.org/10.1785/0120160169.","productDescription":"13 p.","startPage":"72","endPage":"84","ipdsId":"IP-078915","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470046,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20161213-141035303","text":"External Repository"},{"id":342189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Echo Cliffs precariously balanced rock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.92706014090601,\n              34.12673669928829\n            ],\n            [\n              -118.92706014090601,\n              34.12580082827124\n            ],\n            [\n              -118.92597045637072,\n              34.12580082827124\n            ],\n            [\n              -118.92597045637072,\n              34.12673669928829\n            ],\n            [\n              -118.92706014090601,\n              34.12673669928829\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"107","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-13","publicationStatus":"PW","scienceBaseUri":"5937bf2de4b0f6c2d0d9c75b","contributors":{"authors":[{"text":"Veeraraghavan, Swetha","contributorId":192670,"corporation":false,"usgs":false,"family":"Veeraraghavan","given":"Swetha","email":"","affiliations":[],"preferred":false,"id":697334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":697333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krishnan, Swaminathan","contributorId":192671,"corporation":false,"usgs":false,"family":"Krishnan","given":"Swaminathan","email":"","affiliations":[],"preferred":false,"id":697335,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195841,"text":"70195841 - 2017 - Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water","interactions":[],"lastModifiedDate":"2018-03-06T11:04:55","indexId":"70195841","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Antarctic ice-core water (USGS49) – A new isotopic reference material for δ<i>2</i>H and δ<i>18</i>O measurements of water","title":"Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water","docAbstract":"<p><span>As a result of the scarcity of isotopic reference waters for daily use, a new secondary isotopic reference material for international distribution has been prepared from ice-core water from the Amundsen–Scott South Pole Station. This isotopic reference material, designated as USGS49, was filtered, homogenised, loaded into glass ampoules, sealed with a torch, autoclaved to eliminate biological activity and measured by dual-inlet isotope-ratio mass spectrometry. The δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O values of USGS49 are −394.7&nbsp;±&nbsp;0.4 and −50.55&nbsp;±&nbsp;0.04&nbsp;mUr (where mUr&nbsp;=&nbsp;0.001&nbsp;=&nbsp;‰), respectively, relative to VSMOW, on scales normalised such that the δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O values of SLAP reference water are, respectively, −428 and −55.5&nbsp;mUr. Each uncertainty is an estimated expanded uncertainty (</span><i>U&nbsp;</i><span>=</span><i>&nbsp;</i><span>2</span><i>u</i><sub>c</sub><span>) about the reference value that provides an interval that has about a 95% probability of encompassing the true value. This isotopic reference material is intended as one of two isotopic reference waters for daily normalisation of stable hydrogen and oxygen isotopic analysis of water with an isotope-ratio mass spectrometer or a laser absorption spectrometer. It is available by the case of 144 glass ampoules or as a set of sixteen glass ampoules containing 5&nbsp;ml of water in each ampoule.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ggr.12135","usgsCitation":"Lorenz, J.M., Qi, H., and Coplen, T.B., 2017, Antarctic ice-core water (USGS49) – A new isotopic reference material for δ2H and δ18O measurements of water: Geostandards and Geoanalytical Research, v. 41, no. 1, p. 63-68, https://doi.org/10.1111/ggr.12135.","productDescription":"6 p.","startPage":"63","endPage":"68","ipdsId":"IP-077712","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-19","publicationStatus":"PW","scienceBaseUri":"5afee8b9e4b0da30c1bfc494","contributors":{"authors":[{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":730257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":730258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":730259,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195838,"text":"70195838 - 2017 - Rapid carbon loss and slow recovery following permafrost thaw in boreal peatlands","interactions":[],"lastModifiedDate":"2018-03-06T11:16:30","indexId":"70195838","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Rapid carbon loss and slow recovery following permafrost thaw in boreal peatlands","docAbstract":"<p><span>Permafrost peatlands store one-third of the total carbon (C) in the atmosphere and are increasingly vulnerable to thaw as high-latitude temperatures warm. Large uncertainties remain about C dynamics following permafrost thaw in boreal peatlands. We used a chronosequence approach to measure C stocks in forested permafrost plateaus (forest) and thawed permafrost bogs, ranging in thaw age from young (&lt;10&nbsp;years) to old (&gt;100&nbsp;years) from two interior Alaska chronosequences. Permafrost originally aggraded simultaneously with peat accumulation (syngenetic permafrost) at both sites. We found that upon thaw, C loss of the forest peat C is equivalent to ~30% of the initial forest C stock and is directly proportional to the prethaw C stocks. Our model results indicate that permafrost thaw turned these peatlands into net C sources to the atmosphere for a decade following thaw, after which post-thaw bog peat accumulation returned sites to net C sinks. It can take multiple centuries to millennia for a site to recover its prethaw C stocks; the amount of time needed for them to regain their prethaw C stocks is governed by the amount of C that accumulated prior to thaw. Consequently, these findings show that older peatlands will take longer to recover prethaw C stocks, whereas younger peatlands will exceed prethaw stocks in a matter of centuries. We conclude that the loss of sporadic and discontinuous permafrost by 2100 could result in a loss of up to 24 Pg of deep C from permafrost peatlands.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13403","usgsCitation":"Jones, M.C., Harden, J.W., O’Donnell, J.A., Manies, K.L., Jorgenson, M., Treat, C.C., and Ewing, S., 2017, Rapid carbon loss and slow recovery following permafrost thaw in boreal peatlands: Global Change Biology, v. 23, no. 3, p. 1109-1127, https://doi.org/10.1111/gcb.13403.","productDescription":"19 p.","startPage":"1109","endPage":"1127","ipdsId":"IP-075945","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":352258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-15","publicationStatus":"PW","scienceBaseUri":"5afee8b9e4b0da30c1bfc496","contributors":{"authors":[{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":730234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":730235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":730237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jorgenson, M. Torre","contributorId":202940,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[{"id":36554,"text":"Ecoscience","active":true,"usgs":false}],"preferred":false,"id":730238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Treat, Claire C.","contributorId":150798,"corporation":false,"usgs":false,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":730239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ewing, Stephanie","contributorId":202941,"corporation":false,"usgs":false,"family":"Ewing","given":"Stephanie","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":730240,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192069,"text":"70192069 - 2017 - When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival","interactions":[],"lastModifiedDate":"2017-10-19T13:52:07","indexId":"70192069","displayToPublicDate":"2017-03-01T00:00:00","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":"When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival","docAbstract":"<p><span>Modification of habitat structure due to invasive plants can alter the risk landscape for wildlife by, for example, changing the quality or availability of refuge habitat. Whether perceived risk corresponds with actual fitness outcomes, however, remains an important open question. We simultaneously measured how habitat changes due to a common invasive grass (cheatgrass,&nbsp;</span><i>Bromus tectorum</i><span>) affected the perceived risk, habitat selection, and apparent survival of a small mammal, enabling us to assess how well perceived risk influenced important behaviors and reflected actual risk. We measured perceived risk by nocturnal rodents using a giving-up density foraging experiment with paired shrub (safe) and open (risky) foraging trays in cheatgrass and native habitats. We also evaluated microhabitat selection across a cheatgrass gradient as an additional assay of perceived risk and behavioral responses for deer mice (</span><i>Peromyscus maniculatus</i><span>) at two spatial scales of habitat availability. Finally, we used mark-recapture analysis to quantify deer mouse apparent survival across a cheatgrass gradient while accounting for detection probability and other habitat features. In the foraging experiment, shrubs were more important as protective cover in cheatgrass-dominated habitats, suggesting that cheatgrass increased perceived predation risk. Additionally, deer mice avoided cheatgrass and selected shrubs, and marginally avoided native grass, at two spatial scales. Deer mouse apparent survival varied with a cheatgrass–shrub interaction, corresponding with our foraging experiment results, and providing a rare example of a native plant mediating the effects of an invasive plant on wildlife. By synthesizing the results of three individual lines of evidence (foraging behavior, habitat selection, and apparent survival), we provide a rare example of linkage between behavioral responses of animals indicative of perceived predation risk and actual fitness outcomes. Moreover, our results suggest that exotic grass invasions can influence wildlife populations by altering risk landscapes and survival.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2785","usgsCitation":"Ceradnini, J.P., and Chalfoun, A.D., 2017, When perception reflects reality: Non-native grass invasion alters small mammal risk landscapes and survival: Ecology and Evolution, v. 7, no. 6, p. 1823-1835, https://doi.org/10.1002/ece3.2785.","productDescription":"13 p.","startPage":"1823","endPage":"1835","ipdsId":"IP-073821","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2785","text":"Publisher Index Page"},{"id":346981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Thunder Basin National Grassland","volume":"7","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-15","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65ca7","contributors":{"authors":[{"text":"Ceradnini, Joseph P.","contributorId":197675,"corporation":false,"usgs":false,"family":"Ceradnini","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":714059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192067,"text":"70192067 - 2017 - Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus","interactions":[],"lastModifiedDate":"2017-10-19T15:54:15","indexId":"70192067","displayToPublicDate":"2017-03-01T00:00:00","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}},"displayTitle":"Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs <i>Lithobates chiricahuensis</i>, Northern leopard frogs <i>L. pipiens</i>, and American bullfrogs <i>L. catesbeianus</i>","title":"Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus","docAbstract":"<p><span>Amphibians may experience collateral effects if exposed to CFT Legumine (5% rotenone), a piscicide that is used to remove invasive fish. A series of 48-h static toxicity tests assessed the acute effects of CFT Legumine on multi-aged tadpoles of the federally listed Chiricahua leopard frog&nbsp;</span><i>Lithobates chiricahuensis</i><span>, the widespread northern leopard frog<span>&nbsp;</span></span><i>L. pipiens</i><span>, and the increasingly invasive American bullfrog<span>&nbsp;</span></span><i>L. catesbeianus</i><span>. At the earliest Gosner stages (GS 21–25), Chiricahua leopard frogs were more sensitive to CFT Legumine (median lethal concentration [LC</span><sub>50</sub><span>] = 0.41–0.58 mg/L) than American bullfrogs (LC</span><sub>50</sub><span><span>&nbsp;</span>= 0.63–0.69 mg/L) and northern leopard frogs (LC</span><sub>50</sub><span><span>&nbsp;</span>= 0.91 and 1.17 mg/L). As tadpoles developed (i.e., increase in GS), their sensitivity to rotenone decreased. In a separate series of 48-h static nonrenewal toxicity tests, tadpoles (GS 21–25 and GS 31–36) of all three species were exposed to piscicidal concentrations of CFT Legumine (0.5, 1.0, and 2.0 mg/L) to assess postexposure effects on metamorphosis. In survivors of all three species at both life stages, the time to tail resorption was nearly doubled in comparison with that of controls. For example, mid-age (GS 31–36) Chiricahua leopard frog tadpoles required 210.7 h to complete tail resorption, whereas controls required 108.5 h. However, because tail resorption is a relatively short period in metamorphosis, the total duration of development (days from posthatch to complete metamorphosis) and the final weight did not differ in either age-group surviving nominal concentrations of 0.5-, 1.0-, and 2.0-mg/L CFT Legumine relative to controls. This research demonstrates that the CFT Legumine concentrations commonly used in field applications to remove unwanted fish could result in considerable mortality of the earliest stages of<span>&nbsp;</span></span><i>Lithobates</i><span><span>&nbsp;</span>species. In addition to acute lethality, piscicide treatments may result in delayed tail resorption, which places the tadpoles at risk by increasing their vulnerability to predation and pathogens.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1285355","usgsCitation":"Alvarez, G., Caldwell, C.A., and Kruse, C.G., 2017, Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus: Transactions of the American Fisheries Society, v. 146, no. 3, p. 512-522, https://doi.org/10.1080/00028487.2017.1285355.","productDescription":"11 p.","startPage":"512","endPage":"522","ipdsId":"IP-074191","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-30","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65caa","contributors":{"authors":[{"text":"Alvarez, Guillermo","contributorId":197741,"corporation":false,"usgs":false,"family":"Alvarez","given":"Guillermo","email":"","affiliations":[],"preferred":false,"id":714186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":714057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kruse, Carter G.","contributorId":58545,"corporation":false,"usgs":true,"family":"Kruse","given":"Carter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":714187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187782,"text":"70187782 - 2017 - Role of raptors in contaminant research","interactions":[],"lastModifiedDate":"2017-11-27T17:13:33","indexId":"70187782","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Role of raptors in contaminant research","docAbstract":"<p>This chapter reviews the history of and approaches used in studies focused on the effects of contaminants on raptors and raptor populations at the Patuxent Wildlife Research Center (Patuxent) in Laurel, MD. Worldwide raptor declines following World War II were unprecedented and resulted in a sequence of major efforts at Patuxent to understand their cause(s). The peregrine falcon (Falco peregrinus), bald eagle (Haliaeetus leucocephalus), and osprey (Pandion haliaetus) were the species of most concern in North America. Laboratory and field studies at Patuxent complemented each other and yielded timely results of national and international importance, including some findings published in the journals “Science” and “Nature.” </p><p>Concern about contaminant effects on wildlife populations came to the forefront during the years immediately following World War II. This concern was worldwide and not limited to one taxonomic group or to personnel and investigations at Patuxent. Contaminant studies of raptors were only part of the story, but this review, with minor exceptions, is limited to raptor studies and the role Patuxent played in this research. Indeed, many important nonraptor contaminant studies done at Patuxent, as well as raptor studies conducted elsewhere, are not mentioned here. For other reviews of contaminant-wildlife issues in the 1950s and 1960s, the reader is referred to “Silent Spring” by Rachel Carson (1962), “Pesticides and the Living Landscape” by Robert Rudd (1964), and “Return of the Peregrine: A North American Saga of Tenacity and Teamwork” by Tom Cade and Bill Burnham (Cade and Burnham, 2003).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The history of Patuxent: America’s wildlife research story (U.S. Geological Survey Circular 1422)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Henny, C.J., 2017, Role of raptors in contaminant research, chap. <i>of</i> The history of Patuxent: America’s wildlife research story (U.S. Geological Survey Circular 1422), p. 107-120.","productDescription":"14 p.","startPage":"107","endPage":"120","numberOfPages":"1","ipdsId":"IP-033315","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":349346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341487,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.3133/cir1422"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc0fe4b06e28e9c23935","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":695599,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187569,"text":"70187569 - 2017 - Biota: Providing often-overlooked connections among freshwater systems","interactions":[],"lastModifiedDate":"2017-05-09T11:25:00","indexId":"70187569","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Biota: Providing often-overlooked connections among freshwater systems","docAbstract":"<p>When we think about connections in and among aquatic systems, we typically envision clear headwater streams flowing into downstream rivers, river floodwaters spilling out onto adjacent floodplains, or groundwater connecting wetlands to lakes and streams. However, there is another layer of connectivity moving materials among freshwater systems, one with connections that are not always tied to downgradient flows of surface waters and groundwater. These movements are those of organisms, key components of virtually every freshwater system on the planet. In their movements across the landscape, biota connect aquatic systems in often-overlooked ways.</p>","language":"English","publisher":"American Water Resources Association","usgsCitation":"Mushet, D.M., Christensen, J.R., Bennett, M., and Alexander, L., 2017, Biota: Providing often-overlooked connections among freshwater systems: Water Resources Impact, v. 19, no. 2, p. 11-13.","productDescription":"3 p.","startPage":"11","endPage":"13","ipdsId":"IP-082235","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340992,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d536e4b0e541a03d451f","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":694602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":694603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Michah","contributorId":191888,"corporation":false,"usgs":false,"family":"Bennett","given":"Michah","email":"","affiliations":[],"preferred":false,"id":694604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":694605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186296,"text":"70186296 - 2017 - Advancing the match-mismatch framework for large herbivores in the Arctic: Evaluating the evidence for a trophic mismatch in caribou","interactions":[],"lastModifiedDate":"2017-04-04T11:50:35","indexId":"70186296","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Advancing the match-mismatch framework for large herbivores in the Arctic: Evaluating the evidence for a trophic mismatch in caribou","docAbstract":"<p><span>Climate-induced shifts in plant phenology may adversely affect animals that cannot or do not shift the timing of their reproductive cycle. The realized effect of potential trophic “mismatches” between a consumer and its food varies with the degree to which species rely on dietary income and stored capital. Large Arctic herbivores rely heavily on maternal capital to reproduce and give birth near the onset of the growing season but are they vulnerable to trophic mismatch? We evaluated the long-term changes in the temperatures and characteristics of the growing seasons (1970–2013), and compared growing conditions and dynamics of forage quality for caribou at peak parturition, peak lactation, and peak forage biomass, and plant senescence between two distinct time periods over 36 years (1977 and 2011–13). Despite advanced thaw dates (7−12 days earlier), increased growing season lengths (15−21 days longer), and consistent parturition dates, we found no decline in forage quality and therefore no evidence within this dataset for a trophic mismatch at peak parturition or peak lactation from 1977 to 2011–13. In Arctic ungulates that use stored capital for reproduction, reproductive demands are largely met by body stores deposited in the previous summer and autumn, which reduces potential adverse effects of any mismatch between food availability and timing of parturition. Climate-induced effects on forages growing in the summer and autumn ranges, however, do correspond with the demands of female caribou and their offspring to gain mass for the next reproductive cycle and winter. Therefore, we suggest the window of time to examine the match-mismatch framework in Arctic ungulates is not at parturition but in late summer-autumn, where the multiplier effects of small changes in forage quality are amplified by forage abundance, peak forage intake, and resultant mass gains in mother-offspring pairs.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0171807","usgsCitation":"Gustine, D.D., Barboza, P., Adams, L., Griffith, B., Cameron, R.D., and Whitten, K.R., 2017, Advancing the match-mismatch framework for large herbivores in the Arctic: Evaluating the evidence for a trophic mismatch in caribou: PLoS ONE, v. 12, no. 2, p. 1-18, https://doi.org/10.1371/journal.pone.0171807.","productDescription":"e0171807; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-061147","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0171807","text":"Publisher Index Page"},{"id":339127,"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              -148.9306640625,\n              68.65255607018035\n            ],\n            [\n              -147.67822265625,\n              68.65255607018035\n            ],\n            [\n              -147.67822265625,\n              70.4257596280135\n            ],\n            [\n              -148.9306640625,\n              70.4257596280135\n            ],\n            [\n              -148.9306640625,\n              68.65255607018035\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-23","publicationStatus":"PW","scienceBaseUri":"58e4b0b1e4b09da67999777c","contributors":{"authors":[{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":688231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barboza, Perry","contributorId":190361,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","affiliations":[],"preferred":false,"id":688232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":688230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffith, Brad","contributorId":190362,"corporation":false,"usgs":false,"family":"Griffith","given":"Brad","affiliations":[],"preferred":false,"id":688233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cameron, Raymond D.","contributorId":190363,"corporation":false,"usgs":false,"family":"Cameron","given":"Raymond","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":688234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitten, Kenneth R.","contributorId":190408,"corporation":false,"usgs":false,"family":"Whitten","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":688370,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185708,"text":"70185708 - 2017 - Divergent surface and total soil moisture projections under global warming","interactions":[],"lastModifiedDate":"2017-03-28T10:02:43","indexId":"70185708","displayToPublicDate":"2017-03-01T00:00:00","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":"Divergent surface and total soil moisture projections under global warming","docAbstract":"<p><span>Land aridity has been projected to increase with global warming. Such projections are mostly based on off-line aridity and drought metrics applied to climate model outputs but also are supported by climate-model projections of decreased surface soil moisture. Here we comprehensively analyze soil moisture projections from the Coupled Model Intercomparison Project phase 5, including surface, total, and layer-by-layer soil moisture. We identify a robust vertical gradient of projected mean soil moisture changes, with more negative changes near the surface. Some regions of the northern middle to high latitudes exhibit negative annual surface changes but positive total changes. We interpret this behavior in the context of seasonal changes in the surface water budget. This vertical pattern implies that the extensive drying predicted by off-line drought metrics, while consistent with the projected decline in surface soil moisture, will tend to overestimate (negatively) changes in total soil water availability.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL071921","usgsCitation":"Berg, A., Sheffield, J., and Milly, P., 2017, Divergent surface and total soil moisture projections under global warming: Geophysical Research Letters, v. 44, no. 1, p. 236-244, https://doi.org/10.1002/2016GL071921.","productDescription":"9 p.","startPage":"236","endPage":"244","ipdsId":"IP-082638","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071921","text":"Publisher Index Page"},{"id":338440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-13","publicationStatus":"PW","scienceBaseUri":"58db7631e4b0ee37af29e49e","contributors":{"authors":[{"text":"Berg, Alexis","contributorId":187496,"corporation":false,"usgs":false,"family":"Berg","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":686481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheffield, Justin","contributorId":189922,"corporation":false,"usgs":false,"family":"Sheffield","given":"Justin","email":"","affiliations":[],"preferred":false,"id":686482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":686480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195947,"text":"70195947 - 2017 - Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt","interactions":[],"lastModifiedDate":"2018-03-09T10:17:08","indexId":"70195947","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt","docAbstract":"<p>Managing Lake Ontario fisheries in an ecosystem-context, requires reliable data on the status and trends of prey fishes that support predator populations. We report on the community and population dynamics of Lake Ontario pelagic prey fishes, based on bottom trawl surveys. We emphasize information that supports the international Lake Ontario Committee’s Fish Community Objectives. In 2016, 142 bottom trawls were collected in U.S. waters, and for the first time 46 trawls were conducted in Canadian waters. A total of 420,386 fish from 24 species were captured. Alewife were 89% of the total fish catch and 93% of the pelagic prey fish catch. The Rainbow Smelt abundance index in U.S. waters increased slightly in 2016 relative to 2015. Interestingly, the Rainbow Smelt abundance index from tows in Canadian waters was 35% higher than the U.S. index. Abundances of Threespine Stickleback and Emerald Shiners in both U.S. and Canadian waters were low in 2016 relative to their peak abundances in the late 1990s, but Cisco abundance indices suggest a recent increase in their abundance. This year, the reported Alewife abundance time series was truncated to only include values since 1997, which were collected with the same trawl and eliminated the need to adjust values for different trawls. The 2016 adult Alewife abundance index was the second lowest abundance ever observed in the time series. This value was expected to decline from the 2015 value since the indices of juvenile Alewife were low in 2014 and the lowest ever observed in 2015. The fall condition index of adult Alewife increased in 2016 and is consistent with lower abundance and reduced competition for zooplankton resources. The 2016 Age-1 Alewife index increased relative to 2014 and 2015, and suggested lake conditions were favorable for Age-1 survival and growth during the summer of 2015 and the 2015-2016 winter. Interestingly, the catch of adult and Age1 Alewife was higher in trawls conducted in Canadian waters relative to U. S. waters. The larger trawl catches in Canadian waters suggest there may be important spatial differences in lake-wide distribution of prey fishes in April when trawling is conducted. Future surveys should to continue to sample at the whole-lake scale to understand the year to year variability in spatial distribution and the physical or biotic factors driving those distribution differences. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NYSDEC Lake Ontario Annual Report 2016","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"New York State Department of Environmental Conservation","usgsCitation":"Weidel, B., Walsh, M., Connerton, M., and Holden, J.P., 2017, Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt, Section 12a; 13 p.","productDescription":"Section 12a; 13 p.","ipdsId":"IP-086005","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352347,"type":{"id":11,"text":"Document"},"url":"https://www.dec.ny.gov/docs/fish_marine_pdf/lorpt16.pdf"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.0189208984375,\n              43.177141346631714\n            ],\n            [\n              -76.0528564453125,\n              43.177141346631714\n            ],\n            [\n              -76.0528564453125,\n              44.288469027276506\n            ],\n            [\n              -80.0189208984375,\n              44.288469027276506\n            ],\n            [\n              -80.0189208984375,\n              43.177141346631714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8b9e4b0da30c1bfc492","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":730645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":730646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael J.","contributorId":190416,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[],"preferred":false,"id":730647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy P.","contributorId":190415,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":730648,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186330,"text":"70186330 - 2017 - Surface geophysical methods for characterising frozen ground in transitional permafrost landscapes","interactions":[],"lastModifiedDate":"2018-01-13T15:10:14","indexId":"70186330","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Surface geophysical methods for characterising frozen ground in transitional permafrost landscapes","docAbstract":"<p><span>The distribution of shallow frozen ground is paramount to research in cold regions, and is subject to temporal and spatial changes influenced by climate, landscape disturbance and ecosystem succession. Remote sensing from airborne and satellite platforms is increasing our understanding of landscape-scale permafrost distribution, but typically lacks the resolution to characterise finer-scale processes and phenomena, which are better captured by integrated surface geophysical methods. Here, we demonstrate the use of electrical resistivity imaging (ERI), electromagnetic induction (EMI), ground penetrating radar (GPR) and infrared imaging over multiple summer field seasons around the highly dynamic Twelvemile Lake, Yukon Flats, central Alaska, USA. Twelvemile Lake has generally receded in the past 30 yr, allowing permafrost aggradation in the receded margins, resulting in a mosaic of transient frozen ground adjacent to thick, older permafrost outside the original lakebed. ERI and EMI best evaluated the thickness of shallow, thin permafrost aggradation, which was not clear from frost probing or GPR surveys. GPR most precisely estimated the depth of the active layer, which forward electrical resistivity modelling indicated to be a difficult target for electrical methods, but could be more tractable in time-lapse mode. Infrared imaging of freshly dug soil pit walls captured active-layer thermal gradients at unprecedented resolution, which may be useful in calibrating emerging numerical models. GPR and EMI were able to cover landscape scales (several kilometres) efficiently, and new analysis software showcased here yields calibrated EMI data that reveal the complicated distribution of shallow permafrost in a transitional landscape.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ppp.1893","usgsCitation":"Briggs, M.A., Campbell, S., Nolan, J., Walvoord, M.A., Ntarlagiannis, D., Day-Lewis, F.D., and Lane, J.W., 2017, Surface geophysical methods for characterising frozen ground in transitional permafrost landscapes: Permafrost and Periglacial Processes, v. 28, no. 1, p. 52-65, https://doi.org/10.1002/ppp.1893.","productDescription":"14 p.","startPage":"52","endPage":"65","ipdsId":"IP-069599","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":438431,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UST855","text":"USGS data release","linkHelpText":"Surface geophysical data for characterizing shallow, discontinuous frozen ground near Fort Yukon, Alaska"},{"id":339120,"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              -145.5,\n              66.45\n            ],\n            [\n              -145.25,\n              66.45\n            ],\n            [\n              -145.25,\n              66.6\n            ],\n            [\n              -145.5,\n              66.6\n            ],\n            [\n              -145.5,\n              66.45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"58e4b0b1e4b09da67999777a","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":688344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Seth","contributorId":190402,"corporation":false,"usgs":false,"family":"Campbell","given":"Seth","affiliations":[],"preferred":false,"id":688345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolan, Jay","contributorId":190403,"corporation":false,"usgs":false,"family":"Nolan","given":"Jay","email":"","affiliations":[],"preferred":false,"id":688346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":688347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ntarlagiannis, Dimitrios","contributorId":150729,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":688348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":688349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":688350,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193265,"text":"70193265 - 2017 - Integrating multiple data sources in species distribution modeling: A framework for data fusion","interactions":[],"lastModifiedDate":"2018-12-20T12:52:54","indexId":"70193265","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating multiple data sources in species distribution modeling: A framework for data fusion","docAbstract":"<p>The last decade has seen a dramatic increase in the use of species distribution models (SDMs) to characterize patterns of species’ occurrence and abundance. Efforts to parameterize SDMs often create a tension between the quality and quantity of data available to fit models. Estimation methods that integrate both standardized and non-standardized data types offer a potential solution to the tradeoff between data quality and quantity. Recently several authors have developed approaches for jointly modeling two sources of data (one of high quality and one of lesser quality). We extend their work by allowing for explicit spatial autocorrelation in occurrence and detection error using a Multivariate Conditional Autoregressive (MVCAR) model and develop three models that share information in a less direct manner resulting in more robust performance when the auxiliary data is of lesser quality. We describe these three new approaches (“Shared,” “Correlation,” “Covariates”) for combining data sources and show their use in a case study of the Brown-headed Nuthatch in the Southeastern U.S. and through simulations. All three of the approaches which used the second data source improved out-of-sample predictions relative to a single data source (“Single”). When information in the second data source is of high quality, the Shared model performs the best, but the Correlation and Covariates model also perform well. When the information quality in the second data source is of lesser quality, the Correlation and Covariates model performed better suggesting they are robust alternatives when little is known about auxiliary data collected opportunistically or through citizen scientists. Methods that allow for both data types to be used will maximize the useful information available for estimating species distributions.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecy.1710","usgsCitation":"Pacifici, K., Reich, B.J., Miller, D.A., Gardner, B., Stauffer, G.E., Singh, S., McKerrow, A., and Collazo, J., 2017, Integrating multiple data sources in species distribution modeling: A framework for data fusion: Ecology, v. 98, no. 3, p. 840-850, https://doi.org/10.1002/ecy.1710.","productDescription":"11 p.","startPage":"840","endPage":"850","ipdsId":"IP-073421","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":470049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.1710","text":"Publisher Index Page"},{"id":348018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd24e4b0531197b13cad","contributors":{"authors":[{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Brian J.","contributorId":150871,"corporation":false,"usgs":false,"family":"Reich","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W. davidmiller@usgs.gov","contributorId":4043,"corporation":false,"usgs":true,"family":"Miller","given":"David","email":"davidmiller@usgs.gov","middleInitial":"A.W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":719050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":719051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stauffer, Glenn E.","contributorId":171536,"corporation":false,"usgs":false,"family":"Stauffer","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":719052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Singh, Susheela","contributorId":11646,"corporation":false,"usgs":false,"family":"Singh","given":"Susheela","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719061,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":719062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719063,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193819,"text":"70193819 - 2017 - Hydrological and geophysical investigation of streamflow losses and restoration strategies in an abandoned mine lands setting","interactions":[],"lastModifiedDate":"2020-03-10T06:52:56","indexId":"70193819","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological and geophysical investigation of streamflow losses and restoration strategies in an abandoned mine lands setting","docAbstract":"Longitudinal discharge and water-quality campaigns (seepage runs) were combined with surface-geophysical surveys, hyporheic-temperature profiling, and watershed-scale hydrological monitoring to evaluate the locations, magnitude, and impact of streamwater losses from the West Creek subbasin of the West West Branch Schuylkill River into the underground Oak Hill Mine complex that extends beneath the watershed divide. Abandoned mine drainage (AMD), containing iron and other contaminants, from the Oak Hill Boreholes to the West Branch Schuylkill River was sustained during low-flow conditions and correlated to streamflow lost through the West Creek streambed. During high-flow conditions, streamflow was transmitted throughout West Creek; however, during low-flow conditions, all streamflow from the perennial headwaters was lost within the 300-to-600-m \"upper reach\" where an 1889 mine map indicated steeply dipping coalbeds underlie the channel. During low-flow conditions, the channel within the \"intermediate reach\" 700-to-1650-m downstream gained groundwater seepage with higher pH and specific conductance than upstream; however, all streamflow 1650-to-2050-m downstream was lost to underlying mines. Electrical resistivity and electromagnetic conductivity surveys indicated conductive zones beneath the upper reach, where flow loss occurred, and through the intermediate reach, where gains and losses occurred. Temperature probes at 0.06-to-0.10-m depth within the hyporheic zone of the intermediate reach indicated potential downward fluxes as high as 2.1x10-5 m/s. Cumulative streamflow lost from West Creek during seepage runs averaged 53.4 L/s, which equates to 19.3 percent of the daily average discharge of AMD from the Oak Hill Boreholes and a downward flux of 1.70x10-5 m/s across the 2.1-km-by-1.5-m West Creek stream-channel area.","language":"English","publisher":"Association of Environmental & Engineering Geologists","doi":"10.2113/gseegeosci.23.4.243","usgsCitation":"Cravotta, C., Sherrod, L., Galeone, D.G., Lehman, W.G., Ackman, T.E., and Kramer, A., 2017, Hydrological and geophysical investigation of streamflow losses and restoration strategies in an abandoned mine lands setting: Environmental & Engineering Geoscience, v. 23, no. 4, p. 243-273, https://doi.org/10.2113/gseegeosci.23.4.243.","productDescription":"31 p.","startPage":"243","endPage":"273","ipdsId":"IP-082023","costCenters":[{"id":532,"text":"Pennsylvania Water Science 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III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":196993,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":720602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Laura","contributorId":200005,"corporation":false,"usgs":false,"family":"Sherrod","given":"Laura","email":"","affiliations":[{"id":35676,"text":"Kutztown University Department of Physical Sciences, P.O. Box 730, Kutztown, PA 19530","active":true,"usgs":false}],"preferred":false,"id":720603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehman, Wayne G.","contributorId":200006,"corporation":false,"usgs":false,"family":"Lehman","given":"Wayne","email":"","middleInitial":"G.","affiliations":[{"id":35677,"text":"Schuylkill Conservation District, 1206 AG Center Dr, Pottsville, PA 17901","active":true,"usgs":false}],"preferred":false,"id":720604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackman, Terry E.","contributorId":200007,"corporation":false,"usgs":false,"family":"Ackman","given":"Terry","email":"","middleInitial":"E.","affiliations":[{"id":35678,"text":"M T Water Management, Inc., 438 Old Clairton Rd., Jefferson Hills, PA 15025","active":true,"usgs":false}],"preferred":false,"id":720605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kramer, Alexa","contributorId":200008,"corporation":false,"usgs":false,"family":"Kramer","given":"Alexa","email":"","affiliations":[{"id":35679,"text":"Schuylkill Headwaters Association, Inc., 1206 AG Center Dr, Pottsville, PA","active":true,"usgs":false}],"preferred":false,"id":720607,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188371,"text":"70188371 - 2017 - Subsurface volatile content of martian double-layer ejecta (DLE) craters","interactions":[],"lastModifiedDate":"2018-11-01T14:44:37","indexId":"70188371","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface volatile content of martian double-layer ejecta (DLE) craters","docAbstract":"<p><span>Excess ice is widespread throughout the martian mid-latitudes, particularly in Arcadia Planitia, where double-layer ejecta (DLE) craters also tend to be abundant. In this region, we observe the presence of thermokarstically-expanded secondary craters that likely form from impacts that destabilize a subsurface layer of excess ice, which subsequently sublimates. The presence of these expanded craters shows that excess ice is still preserved within the adjacent terrain. Here, we focus on a 15-km DLE crater that contains abundant superposed expanded craters in order to study the distribution of subsurface volatiles both at the time when the secondary craters formed and, by extension, remaining today. To do this, we measure the size distribution of the superposed expanded craters and use topographic data to calculate crater volumes as a proxy for the volumes of ice lost to sublimation during the expansion process. The inner ejecta layer contains craters that appear to have undergone more expansion, suggesting that excess ice was most abundant in that region. However, both of the ejecta layers had more expanded craters than the surrounding terrain. We extrapolate that the total volume of ice remaining within the entire ejecta deposit is as much as 74&nbsp;km</span><sup>3</sup><span> or more. The variation in ice content between the ejecta layers could be the result of (1) volatile preservation from the formation of the DLE crater, (2) post-impact deposition in the form of ice lenses; or (3) preferential accumulation or preservation of subsequent snowfall. We have ruled out (2) as the primary mode for ice deposition in this location based on inconsistencies with our observations, though it may operate in concert with other processes. Although none of the existing DLE formation hypotheses are completely consistent with our observations, which may merit a new or modified mechanism, we can conclude that DLE craters contain a significant quantity of excess ice today.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.11.031","usgsCitation":"Viola, D., McEwen, A.S., Dundas, C.M., and Byrne, S., 2017, Subsurface volatile content of martian double-layer ejecta (DLE) craters: Icarus, v. 284, p. 325-343, https://doi.org/10.1016/j.icarus.2016.11.031.","productDescription":"19 p.","startPage":"325","endPage":"343","ipdsId":"IP-077824","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":342216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"284","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910abe4b0764e6c5e8850","contributors":{"authors":[{"text":"Viola, Donna","contributorId":127526,"corporation":false,"usgs":false,"family":"Viola","given":"Donna","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":697430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":697431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":697429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":697432,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191859,"text":"70191859 - 2017 - Ground-rupturing earthquakes on the northern Big Bend of the San Andreas Fault, California, 800 A.D. to Present","interactions":[],"lastModifiedDate":"2017-10-18T16:09:11","indexId":"70191859","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Ground-rupturing earthquakes on the northern Big Bend of the San Andreas Fault, California, 800 A.D. to Present","docAbstract":"<p><span>Paleoseismic data on the timing of ground-rupturing earthquakes constrain the recurrence behavior of active faults and can provide insight on the rupture history of a fault if earthquakes dated at neighboring sites overlap in age and are considered correlative. This study presents the evidence and ages for 11 earthquakes that occurred along the Big Bend section of the southern San Andreas Fault at the Frazier Mountain paleoseismic site. The most recent earthquake to rupture the site was the&nbsp;</span><i>M<sub>w</sub></i><span>7.7–7.9 Fort Tejon earthquake of 1857. We use over 30 trench excavations to document the structural and sedimentological evolution of a small pull-apart basin that has been repeatedly faulted and folded by ground-rupturing earthquakes. A sedimentation rate of 0.4 cm/yr and abundant organic material for radiocarbon dating contribute to a record that is considered complete since 800 A.D. and includes 10 paleoearthquakes. Earthquakes have ruptured this location on average every ~100 years over the last 1200 years, but individual intervals range from ~22 to 186 years. The coefficient of variation of the length of time between earthquakes (0.7) indicates quasiperiodic behavior, similar to other sites along the southern San Andreas Fault. Comparison with the earthquake chronology at neighboring sites along the fault indicates that only one other 1857-size earthquake could have occurred since 1350 A.D., and since 800 A.D., the Big Bend and Mojave sections have ruptured together at most 50% of the time in<span>&nbsp;</span></span><i>M<sub>w</sub></i><span> ≥ 7.3 earthquakes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013606","usgsCitation":"Scharer, K.M., Weldon, R.J., Biasi, G., Streig, A., and Fumal, T.E., 2017, Ground-rupturing earthquakes on the northern Big Bend of the San Andreas Fault, California, 800 A.D. to Present: Journal of Geophysical Research, v. 122, no. 3, p. 2193-2218, https://doi.org/10.1002/2016JB013606.","productDescription":"26 p.","startPage":"2193","endPage":"2218","ipdsId":"IP-079786","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013606","text":"Publisher Index Page"},{"id":346907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","volume":"122","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59e86836e4b05fe04cd4d202","contributors":{"authors":[{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":713427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biasi, Glenn","contributorId":175464,"corporation":false,"usgs":false,"family":"Biasi","given":"Glenn","affiliations":[],"preferred":false,"id":713428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Streig, Ashley","contributorId":39707,"corporation":false,"usgs":true,"family":"Streig","given":"Ashley","affiliations":[],"preferred":false,"id":713429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fumal, Thomas E.","contributorId":195091,"corporation":false,"usgs":false,"family":"Fumal","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194123,"text":"70194123 - 2017 - Recalibration of the Mars Science Laboratory ChemCam instrument with an expanded geochemical database","interactions":[],"lastModifiedDate":"2017-11-16T14:14:39","indexId":"70194123","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3464,"text":"Spectrochimica Acta Part B: Atomic Spectroscopy","active":true,"publicationSubtype":{"id":10}},"title":"Recalibration of the Mars Science Laboratory ChemCam instrument with an expanded geochemical database","docAbstract":"<p><span>The ChemCam Laser-Induced Breakdown Spectroscopy (LIBS) instrument onboard the Mars Science Laboratory (MSL) rover Curiosity has obtained &gt;</span><span>&nbsp;</span><span>300,000 spectra of rock and soil analysis targets since landing at Gale Crater in 2012, and the spectra represent perhaps the largest publicly-available LIBS datasets. The compositions of the major elements, reported as oxides (SiO</span><sub>2</sub><span>, TiO</span><sub>2</sub><span>, Al</span><sub>2</sub><span>O</span><sub>3</sub><span>, FeO</span><sub>T</sub><span>, MgO, CaO, Na</span><sub>2</sub><span>O, K</span><sub>2</sub><span>O), have been re-calibrated using a laboratory LIBS instrument, Mars-like atmospheric conditions, and a much larger set of standards (408) that span a wider compositional range than previously employed. The new calibration uses a combination of partial least squares (PLS1) and Independent Component Analysis (ICA) algorithms, together with a calibration transfer matrix to minimize differences between the conditions under which the standards were analyzed in the laboratory and the conditions on Mars. While the previous model provided good results in the compositional range near the average Mars surface composition, the new model fits the extreme compositions far better. Examples are given for plagioclase feldspars, where silicon was significantly over-estimated by the previous model, and for calcium-sulfate veins, where silicon compositions near zero were inaccurate. The uncertainties of major element abundances are described as a function of the abundances, and are overall significantly lower than the previous model, enabling important new geochemical interpretations of the data.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.sab.2016.12.003","usgsCitation":"Clegg, S.M., Wiens, R.C., Anderson, R.B., Forni, O., Frydenvang, J., Lasue, J., Cousin, A., Payre, V., Boucher, T., Dyar, M.D., McLennan, S.M., Morris, R., Graff, T.G., Mertzman, S.A., Ehlmann, B.L., Belgacem, I., Newsom, H.E., Clark, B.C., Melikechi, N., Mezzacappa, A., McInroy, R.E., Martinez, R., Gasda, P.J., Gasnault, O., and Maurice, S., 2017, Recalibration of the Mars Science Laboratory ChemCam instrument with an expanded geochemical database: Spectrochimica Acta Part B: Atomic Spectroscopy, v. 129, p. 64-85, https://doi.org/10.1016/j.sab.2016.12.003.","productDescription":"22 p.","startPage":"64","endPage":"85","ipdsId":"IP-070353","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470038,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1338777","text":"External Repository"},{"id":349013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc05e4b06e28e9c238c5","contributors":{"authors":[{"text":"Clegg, Samuel M.","contributorId":23460,"corporation":false,"usgs":false,"family":"Clegg","given":"Samuel","email":"","middleInitial":"M.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":722216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":722217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":722215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forni, Olivier","contributorId":72690,"corporation":false,"usgs":false,"family":"Forni","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":722218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frydenvang, Jens","contributorId":173225,"corporation":false,"usgs":false,"family":"Frydenvang","given":"Jens","email":"","affiliations":[{"id":27196,"text":"LANL","active":true,"usgs":false}],"preferred":false,"id":722219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lasue, Jeremie","contributorId":181504,"corporation":false,"usgs":false,"family":"Lasue","given":"Jeremie","email":"","affiliations":[],"preferred":false,"id":722220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cousin, Agnes","contributorId":40139,"corporation":false,"usgs":false,"family":"Cousin","given":"Agnes","email":"","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":722221,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Payre, Valerie","contributorId":172304,"corporation":false,"usgs":false,"family":"Payre","given":"Valerie","email":"","affiliations":[{"id":27022,"text":"Universite de Lorraine","active":true,"usgs":false}],"preferred":false,"id":722222,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boucher, Tommy","contributorId":200410,"corporation":false,"usgs":false,"family":"Boucher","given":"Tommy","email":"","affiliations":[],"preferred":false,"id":722223,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dyar, M. Darby","contributorId":200411,"corporation":false,"usgs":false,"family":"Dyar","given":"M.","email":"","middleInitial":"Darby","affiliations":[],"preferred":false,"id":722224,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McLennan, Scott M.","contributorId":200412,"corporation":false,"usgs":false,"family":"McLennan","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":722225,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morris, Richard V.","contributorId":167513,"corporation":false,"usgs":false,"family":"Morris","given":"Richard V.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":722226,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Graff, Trevor G.","contributorId":200413,"corporation":false,"usgs":false,"family":"Graff","given":"Trevor","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":722227,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mertzman, Stanley A","contributorId":200414,"corporation":false,"usgs":false,"family":"Mertzman","given":"Stanley","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":722228,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":722229,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Belgacem, Ines","contributorId":200415,"corporation":false,"usgs":false,"family":"Belgacem","given":"Ines","email":"","affiliations":[],"preferred":false,"id":722230,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Newsom, Horton E.","contributorId":67689,"corporation":false,"usgs":false,"family":"Newsom","given":"Horton","email":"","middleInitial":"E.","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":722231,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Clark, Ben C.","contributorId":200402,"corporation":false,"usgs":false,"family":"Clark","given":"Ben","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722232,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Melikechi, Noureddine","contributorId":22705,"corporation":false,"usgs":false,"family":"Melikechi","given":"Noureddine","email":"","affiliations":[],"preferred":false,"id":722233,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mezzacappa, Alissa","contributorId":7185,"corporation":false,"usgs":false,"family":"Mezzacappa","given":"Alissa","email":"","affiliations":[],"preferred":false,"id":722234,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"McInroy, Rhonda E.","contributorId":200416,"corporation":false,"usgs":false,"family":"McInroy","given":"Rhonda","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722235,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Martinez, Ronald","contributorId":140336,"corporation":false,"usgs":false,"family":"Martinez","given":"Ronald","email":"","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":722236,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Gasda, Patrick J.","contributorId":196313,"corporation":false,"usgs":false,"family":"Gasda","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722237,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Gasnault, Olivier","contributorId":181501,"corporation":false,"usgs":false,"family":"Gasnault","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":722238,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Maurice, Sylvestre","contributorId":82626,"corporation":false,"usgs":false,"family":"Maurice","given":"Sylvestre","email":"","affiliations":[],"preferred":false,"id":722239,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}}
,{"id":70193982,"text":"70193982 - 2017 - Evidence for coseismic subsidence events in a southern California coastal saltmarsh","interactions":[],"lastModifiedDate":"2017-11-13T13:10:48","indexId":"70193982","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for coseismic subsidence events in a southern California coastal saltmarsh","docAbstract":"<p>Paleoenvironmental records from a southern California coastal saltmarsh reveal evidence for repeated late Holocene coseismic subsidence events. Field analysis of sediment gouge cores established discrete lithostratigraphic units extend across the wetland. Detailed sediment analyses reveal abrupt changes in lithology, percent total organic matter, grain size, and magnetic susceptibility. Microfossil analyses indicate that predominantly freshwater deposits bury relic intertidal deposits at three distinct depths. Radiocarbon dating indicates that the three burial events occurred in the last 2000 calendar years. Two of the three events are contemporaneous with large-magnitude paleoearthquakes along the Newport-Inglewood/Rose Canyon fault system. From these data, we infer that during large magnitude earthquakes a step-over along the fault zone results in the vertical displacement of an approximately 5-km<sup>2</sup> area that is consistent with the footprint of an estuary identified in pre-development maps. These findings provide insight on the evolution of the saltmarsh, coseismic deformation and earthquake recurrence in a wide area of southern California, and sensitive habitat already threatened by eustatic sea level rise.</p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep44615","usgsCitation":"Leeper, R., Rhodes, B.P., Kirby, M.E., Scharer, K.M., Carlin, J.A., Hemphill-Haley, E., Avnaim-Katav, S., MacDonald, G.M., Starratt, S.W., and Aranda, A., 2017, Evidence for coseismic subsidence events in a southern California coastal saltmarsh: Scientific Reports, v. 7, Article 44615; 11 p., https://doi.org/10.1038/srep44615.","productDescription":"Article 44615; 11 p.","ipdsId":"IP-079036","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":470108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep44615","text":"Publisher Index Page"},{"id":348698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-20","publicationStatus":"PW","scienceBaseUri":"5a60fc05e4b06e28e9c238ca","contributors":{"authors":[{"text":"Leeper, Robert 0000-0003-2890-8216 rleeper@usgs.gov","orcid":"https://orcid.org/0000-0003-2890-8216","contributorId":4740,"corporation":false,"usgs":true,"family":"Leeper","given":"Robert","email":"rleeper@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":721814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhodes, Brady P.","contributorId":200293,"corporation":false,"usgs":false,"family":"Rhodes","given":"Brady","email":"","middleInitial":"P.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":721815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirby, Matthew E.","contributorId":200294,"corporation":false,"usgs":false,"family":"Kirby","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":721816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":721817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlin, Joseph A.","contributorId":200295,"corporation":false,"usgs":false,"family":"Carlin","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":721819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hemphill-Haley, Eileen","contributorId":194373,"corporation":false,"usgs":false,"family":"Hemphill-Haley","given":"Eileen","affiliations":[{"id":35736,"text":"Hemphill-Haley Consulting, McKinleyville, CA","active":true,"usgs":false}],"preferred":false,"id":721818,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avnaim-Katav, Simona","contributorId":200296,"corporation":false,"usgs":false,"family":"Avnaim-Katav","given":"Simona","email":"","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":721820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"MacDonald, Glen M.","contributorId":173294,"corporation":false,"usgs":false,"family":"MacDonald","given":"Glen","email":"","middleInitial":"M.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":721821,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":721822,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aranda, Angela","contributorId":200297,"corporation":false,"usgs":false,"family":"Aranda","given":"Angela","email":"","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":721823,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70186677,"text":"70186677 - 2017 - The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches","interactions":[],"lastModifiedDate":"2017-04-07T10:12:20","indexId":"70186677","displayToPublicDate":"2017-03-01T00:00:00","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":"The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches","docAbstract":"<p><span>To better understand how individual processes combine to cause flooding and erosion events, we investigate the relative contribution of tides, waves, and nontidal residuals to extreme total water levels (TWLs) at the shoreline of U.S. West Coast sandy beaches. Extreme TWLs, defined as the observed annual maximum event and the simulated 100&nbsp;year return level event, peak in Washington, and are on average larger in Washington and Oregon than in California. The relative contribution of wave-induced and still water levels (SWL) to the 100&nbsp;year TWL event is similar to that of the annual maximum event; however, the contribution of storm surge to the SWL doubles across events. Understanding the regional variability of TWLs will lead to a better understanding of how sea level rise, changes in storminess, and possible changes in the frequency of major El Niños may impact future coastal flooding and erosion along the U.S. West Coast and elsewhere.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016GL071020","usgsCitation":"Serafin, K.A., Ruggiero, P., and Stockdon, H.F., 2017, The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches: Geophysical Research Letters, v. 44, no. 4, p. 1839-1847, https://doi.org/10.1002/2016GL071020.","productDescription":"9 p.","startPage":"1839","endPage":"1847","ipdsId":"IP-079475","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071020","text":"Publisher Index Page"},{"id":339393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.3876953125,\n              49.009050809382046\n            ],\n            [\n              -125.46386718749999,\n              48.63290858589535\n            ],\n            [\n              -125.1123046875,\n              46.13417004624326\n            ],\n            [\n              -125.5078125,\n              42.87596410238256\n            ],\n            [\n              -125.068359375,\n              39.9434364619742\n            ],\n            [\n              -123.1787109375,\n              36.59788913307022\n            ],\n            [\n              -120.9375,\n              34.23451236236987\n            ],\n            [\n              -118.125,\n              32.54681317351514\n            ],\n            [\n              -115.7080078125,\n              32.58384932565662\n            ],\n            [\n              -116.8505859375,\n              34.05265942137599\n            ],\n            [\n              -120.89355468749999,\n              37.16031654673677\n            ],\n            [\n              -122.29980468749999,\n              41.0130657870063\n            ],\n            [\n              -122.3876953125,\n              49.009050809382046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-18","publicationStatus":"PW","scienceBaseUri":"58e8a542e4b09da6799d63a3","contributors":{"authors":[{"text":"Serafin, Katherine A.","contributorId":84466,"corporation":false,"usgs":true,"family":"Serafin","given":"Katherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":690255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193625,"text":"70193625 - 2017 - Intraspecific functional diversity of common species enhances community stability","interactions":[],"lastModifiedDate":"2017-11-06T11:09:57","indexId":"70193625","displayToPublicDate":"2017-03-01T00:00:00","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":"Intraspecific functional diversity of common species enhances community stability","docAbstract":"<p><span>Common species are fundamental to the structure and function of their communities and may enhance community stability through intraspecific functional diversity (iFD). We measured among-habitat and within-habitat iFD (i.e., among- and within-plant community types) of two common small mammal species using stable isotopes and functional trait dendrograms, determined whether iFD was related to short-term population stability and small mammal community stability, and tested whether spatially explicit trait filters helped explain observed patterns of iFD. Southern red-backed voles (</span><i>Myodes gapperi</i><span>) had greater iFD than deer mice (</span><i>Peromyscus maniculatus</i><span>), both among habitats, and within the plant community in which they were most abundant (their “primary habitat”).<span>&nbsp;</span></span><i>Peromyscus maniculatus</i><span><span>&nbsp;</span>populations across habitats differed significantly between years and declined 78% in deciduous forests, their primary habitat, as did the overall deciduous forest small mammal community.<span>&nbsp;</span></span><i>Myodes gapperi</i><span><span>&nbsp;</span>populations were stable across habitats and within coniferous forest, their primary habitat, as was the coniferous forest small mammal community. Generalized linear models representing internal trait filters (e.g., competition), which increase within-habitat type iFD, best explained variation in<span>&nbsp;</span></span><i>M. gapperi</i><span>diet, while models representing internal filters and external filters (e.g., climate), which suppress within-habitat iFD, best explained<span>&nbsp;</span></span><i>P.&nbsp;maniculatus</i><span><span>&nbsp;</span>diet. This supports the finding that<span>&nbsp;</span></span><i>M.&nbsp;gapperi</i><span><span>&nbsp;</span>had higher iFD than<span>&nbsp;</span></span><i>P.&nbsp;maniculatus</i><span><span>&nbsp;</span>and is consistent with the theory that internal trait filters are associated with higher iFD than external filters. Common species with high iFD can impart a stabilizing influence on their communities, information that can be important for conserving biodiversity under environmental change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2721","usgsCitation":"Wood, C.M., McKinney, S.T., and Loftin, C., 2017, Intraspecific functional diversity of common species enhances community stability: Ecology and Evolution, v. 7, no. 5, p. 1553-1560, https://doi.org/10.1002/ece3.2721.","productDescription":"8 p.","startPage":"1553","endPage":"1560","ipdsId":"IP-074150","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2721","text":"Publisher Index Page"},{"id":348254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"5a07e928e4b09af898c8cbff","contributors":{"authors":[{"text":"Wood, Connor M.","contributorId":167785,"corporation":false,"usgs":false,"family":"Wood","given":"Connor","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Shawn T. smckinney@usgs.gov","contributorId":5175,"corporation":false,"usgs":true,"family":"McKinney","given":"Shawn","email":"smckinney@usgs.gov","middleInitial":"T.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":719663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189315,"text":"70189315 - 2017 - Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the United States","interactions":[],"lastModifiedDate":"2017-07-11T09:43:00","indexId":"70189315","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the United States","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\"><p id=\"sp0045\">When chemical or microbial contaminants are assessed for potential effect or possible regulation in ambient and drinking waters, a critical first step is determining if the contaminants occur and if they are at concentrations that may cause human or ecological health concerns. To this end, source and treated drinking water samples from 29 drinking water treatment plants (DWTPs) were analyzed as part of a two-phase study to determine whether chemical and microbial constituents, many of which are considered contaminants of emerging concern, were detectable in the waters. Of the 84 chemicals monitored in the 9 Phase I DWTPs, 27 were detected at least once in the source water, and 21 were detected at least once in treated drinking water. In Phase II, which was a broader and more comprehensive assessment, 247 chemical and microbial analytes were measured in 25 DWTPs, with 148 detected at least once in the source water, and 121 detected at least once in the treated drinking water. The frequency of detection was often related to the analyte's contaminant class, as pharmaceuticals and anthropogenic waste indicators tended to be infrequently detected and more easily removed during treatment, while per and polyfluoroalkyl substances and inorganic constituents were both more frequently detected and, overall, more resistant to treatment. The data collected as part of this project will be used to help inform evaluation of unregulated contaminants in surface water, groundwater, and drinking water.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.12.004","usgsCitation":"Glassmeyer, S., Furlong, E.T., Kolpin, D.W., Batt, A.L., Benson, R., Boone, J.S., Conerly, O.D., Donohue, M.J., King, D.N., Kostich, M.S., Mash, H.E., Pfaller, S., Schenck, K.M., Simmons, J.E., Varughese, E.A., Vesper, S.J., Villegas, E.N., and Wilson, V., 2017, Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the United States: Science of the Total Environment, v. 581-582, p. 909-922, https://doi.org/10.1016/j.scitotenv.2016.12.004.","productDescription":"14 p.","startPage":"909","endPage":"922","ipdsId":"IP-061633","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":470044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.12.004","text":"Publisher Index Page"},{"id":343555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"581-582","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b210e4b0d1f9f05b37d6","contributors":{"authors":[{"text":"Glassmeyer, Susan T.","contributorId":72924,"corporation":false,"usgs":true,"family":"Glassmeyer","given":"Susan T.","affiliations":[],"preferred":false,"id":704144,"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":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":704145,"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":704117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batt, Angela L.","contributorId":184134,"corporation":false,"usgs":false,"family":"Batt","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":704146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benson, Robert","contributorId":194436,"corporation":false,"usgs":false,"family":"Benson","given":"Robert","email":"","affiliations":[],"preferred":false,"id":704147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boone, J. Scott","contributorId":178697,"corporation":false,"usgs":false,"family":"Boone","given":"J.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":704148,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conerly, Octavia D.","contributorId":194437,"corporation":false,"usgs":false,"family":"Conerly","given":"Octavia","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":704149,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Donohue, Maura J.","contributorId":189146,"corporation":false,"usgs":false,"family":"Donohue","given":"Maura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704150,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Dawn N.","contributorId":189145,"corporation":false,"usgs":false,"family":"King","given":"Dawn","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":704151,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kostich, Mitchell S.","contributorId":194444,"corporation":false,"usgs":false,"family":"Kostich","given":"Mitchell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":704152,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mash, Heath E.","contributorId":184073,"corporation":false,"usgs":false,"family":"Mash","given":"Heath","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":704153,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pfaller, Stacy","contributorId":189148,"corporation":false,"usgs":false,"family":"Pfaller","given":"Stacy","email":"","affiliations":[],"preferred":false,"id":704154,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schenck, Kathleen M.","contributorId":184136,"corporation":false,"usgs":false,"family":"Schenck","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":704155,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Simmons, Jane Ellen","contributorId":194445,"corporation":false,"usgs":false,"family":"Simmons","given":"Jane","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":704156,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Varughese, Eunice A.","contributorId":194446,"corporation":false,"usgs":false,"family":"Varughese","given":"Eunice","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704157,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Vesper, Stephen J.","contributorId":78296,"corporation":false,"usgs":true,"family":"Vesper","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704158,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Villegas, Eric N.","contributorId":56947,"corporation":false,"usgs":true,"family":"Villegas","given":"Eric","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":704159,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wilson, Vickie S.","contributorId":101551,"corporation":false,"usgs":true,"family":"Wilson","given":"Vickie S.","affiliations":[],"preferred":false,"id":704160,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
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