Grande Riviere beach, on the island of Trinidad, supports the largest nesting population of leatherback turtles in the Caribbean region. Throughout the nesting season, nests are naturally disturbed by newly nesting females, resulting in egg breakage and loss of some nest viability. This environment is ideal for the growth and proliferation of microorganisms. The range of bacterial flora present in beach sand and egg shells was examined, with emphasis on bacteria that may pose a threat to public and animal health. The extent to which the bacterial load and genera on the beach changed throughout the season was also assessed. Twenty-five genera were identified, with Pseudomonas spp. found to be the most predominant environmental bacteria. Four genera identified possess zoonotic potential, while five additional genera are known to be of public and animal health significance. Distinct shifts in the density and distribution of bacteria were observed along the beach from early to peak nesting season. Shifts were seen across heavily traversed zones, thus highlighting the potential exposure threats posed to beach visitors and animals alike. Further studies aimed at speciating this population of bacteria, as well as isolating potential fungal pathogens may mitigate this threat. Identification of bacterial agents that are specifically pathogenic to leatherback turtles, turtle eggs, hatchlings and those who may interact with these animals will serve to enhance and guide efforts to better conserve this species and protect the health of all who visit this ecologically significant site.
","language":"English","publisher":"Wiley","doi":"10.1111/maec.12412","usgsCitation":"Phillips, A.C., Couteau, J., Rajh, S., Stewart, N., Watson, A., Jehu, A., Asmath, H., Unakal, C., Dziva, F., Holder, R., and Carthy, R.R., 2017, Temporospatial dynamics and public health significance of bacterial flora identified on a major leatherback turtle (Dermochelys coriacea) nesting beach in the Southern Caribbean: Marine Ecology, v. 38, no. 2, Article e12412; 15 p., https://doi.org/10.1111/maec.12412.","productDescription":"Article e12412; 15 p.","ipdsId":"IP-068594","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Trinidad and Tobago","otherGeospatial":"Grande Riviere beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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Chandrashekhar","contributorId":91788,"corporation":false,"usgs":false,"family":"Unakal","given":"Chandrashekhar","email":"","affiliations":[{"id":35671,"text":"The University of the West Indies","active":true,"usgs":false}],"preferred":false,"id":720568,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dziva, Francis","contributorId":198477,"corporation":false,"usgs":false,"family":"Dziva","given":"Francis","email":"","affiliations":[{"id":35671,"text":"The University of the West Indies","active":true,"usgs":false}],"preferred":false,"id":720567,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holder, Ridley","contributorId":198495,"corporation":false,"usgs":false,"family":"Holder","given":"Ridley","email":"","affiliations":[{"id":35671,"text":"The University of the West Indies","active":true,"usgs":false}],"preferred":false,"id":720569,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 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inductive approaches: Setting the foundation for analysis of hydrologic alteration","docAbstract":"Regional classification of streams is an early step in the Ecological Limits of Hydrologic Alteration framework. Many stream classifications are based on an inductive approach using hydrologic data from minimally disturbed basins, but this approach may underrepresent streams from heavily disturbed basins or sparsely gaged arid regions. An alternative is a deductive approach, using watershed climate, land use, and geomorphology to classify streams, but this approach may miss important hydrological characteristics of streams. We classified all stream reaches in California using both approaches. First, we used Bayesian and hierarchical clustering to classify reaches according to watershed characteristics. Streams were clustered into seven classes according to elevation, sedimentary rock, and winter precipitation. Permutation-based analysis of variance and random forest analyses were used to determine which hydrologic variables best separate streams into their respective classes. Stream typology (i.e., the class that a stream reach is assigned to) is shaped mainly by patterns of high and mean flow behavior within the stream's landscape context. Additionally, random forest was used to determine which hydrologic variables best separate minimally disturbed reference streams from non-reference streams in each of the seven classes. In contrast to stream typology, deviation from reference conditions is more difficult to detect and is largely defined by changes in low-flow variables, average daily flow, and duration of flow. Our combined deductive/inductive approach allows us to estimate flow under minimally disturbed conditions based on the deductive analysis and compare to measured flow based on the inductive analysis in order to estimate hydrologic change.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.1802","usgsCitation":"Pyne, M.I., Carlisle, D.M., Konrad, C.P., and Stein, E.D., 2017, Classification of California streams using combined deductive and inductive approaches: Setting the foundation for analysis of hydrologic alteration: Ecohydrology, v. 10, no. 3, e1802, 14 p; Data Release, https://doi.org/10.1002/eco.1802.","productDescription":"e1802, 14 p; Data Release","ipdsId":"IP-073147","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":348846,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70R9MJ7","text":"USGS data release","description":"USGS data release","linkHelpText":"Select watershed attributes for California stream segments (NHDPlus V.1)"},{"id":348662,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":717395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stein, Eric D.","contributorId":198848,"corporation":false,"usgs":false,"family":"Stein","given":"Eric","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":717398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193045,"text":"70193045 - 2017 - Spatiotemporal ecology of Apalone spinifera in a large, Great Plains river ecosystem","interactions":[],"lastModifiedDate":"2017-11-06T16:31:52","indexId":"70193045","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatiotemporal ecology of Apalone spinifera in a large, Great Plains river ecosystem","title":"Spatiotemporal ecology of Apalone spinifera in a large, Great Plains river ecosystem","docAbstract":"Sparse information exists about the ecology of Spiny Softshell Turtles (Apalone spinifera) in large rivers, at the northwestern extent of their natural range, and in Montana, where they are disjunct from downstream populations and a State Species of Concern. We determined spatiotemporal ecology of 47 female and 12 male turtles from 2009 through 2012 and identified fundamental habitats in the Missouri River in east-central Montana. Movement rates of females were greater than those of males and peaked before nesting. Movement rates of males peaked before overwintering, and movement rates of both sexes were minimal in winter. Home range sizes were not different between sexes, varied among individuals and seasons, and were similar to those reported elsewhere in their northern range. Turtles aggregated and showed interannual fidelity to separate and disparate habitats in different seasons. Turtles often chose fine substrates, tributary confluences, and reaches with islands during summer and mainstem outside bends in the winter. They inhabited shallow, slow water velocity areas from May to September. They inhabited deeper, moderate velocity areas from October to April. We did not observe ice jams and associated riverbed scour at hibernacula, but did observe them elsewhere. Ice jams may be spatially predictable and influence the distribution of riverine turtles during autumn and winter. Preservation of dissimilar habitats used during major portions of the life cycle (lateral habitats, islands, and hibernacula) and natural streamflow patterns, which influenced timing of habitat availability and turtle movement, may facilitate continued existence of Spiny Softshell Turtles in the Missouri River in Montana
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Tornabene, B., Bramblett, R.G., Zale, A.V., and Leathe, S.A., 2017, Spatiotemporal ecology of Apalone spinifera in a large, Great Plains river ecosystem: Herpetological Conservation and Biology, v. 12, no. 1, p. 252-271.","productDescription":"20 p.","startPage":"252","endPage":"271","ipdsId":"IP-071425","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347693,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol12_issue1.html"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e90fe4b09af898c8cbeb","contributors":{"authors":[{"text":"Tornabene, Brian J.","contributorId":200041,"corporation":false,"usgs":false,"family":"Tornabene","given":"Brian J.","affiliations":[],"preferred":false,"id":720774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":720775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leathe, Stephen A.","contributorId":200042,"corporation":false,"usgs":false,"family":"Leathe","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720776,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194067,"text":"70194067 - 2017 - Multiple models guide strategies for agricultural nutrient reductions","interactions":[],"lastModifiedDate":"2018-02-06T11:48:12","indexId":"70194067","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Multiple models guide strategies for agricultural nutrient reductions","docAbstract":"In response to degraded water quality, federal policy makers in the US and Canada called for a 40% reduction in phosphorus (P) loads to Lake Erie, and state and provincial policy makers in the Great Lakes region set a load-reduction target for the year 2025. Here, we configured five separate SWAT (US Department of Agriculture's Soil and Water Assessment Tool) models to assess load reduction strategies for the agriculturally dominated Maumee River watershed, the largest P source contributing to toxic algal blooms in Lake Erie. Although several potential pathways may achieve the target loads, our results show that any successful pathway will require large-scale implementation of multiple practices. For example, one successful pathway involved targeting 50% of row cropland that has the highest P loss in the watershed with a combination of three practices: subsurface application of P fertilizers, planting cereal rye as a winter cover crop, and installing buffer strips. Achieving these levels of implementation will require local, state/provincial, and federal agencies to collaborate with the private sector to set shared implementation goals and to demand innovation and honest assessments of water quality-related programs, policies, and partnerships.","language":"English","publisher":"Wiley","doi":"10.1002/fee.1472","usgsCitation":"Scavia, D., Kalcic, M., Muenich, R.L., Read, J., Aloysius, N., Bertani, I., Boles, C., Confesor, R., DePinto, J., Gildow, M., Martin, J., Redder, T., Robertson, D.M., Sowa, S.P., Wang, Y., and Yen, H., 2017, Multiple models guide strategies for agricultural nutrient reductions: Frontiers in Ecology and the Environment, v. 15, no. 3, p. 126-132, https://doi.org/10.1002/fee.1472.","productDescription":"7 p.","startPage":"126","endPage":"132","ipdsId":"IP-075287","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":461665,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/fee.1472","text":"External Repository"},{"id":348860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-03","publicationStatus":"PW","scienceBaseUri":"5a60fbede4b06e28e9c2379e","contributors":{"authors":[{"text":"Scavia, Donald","contributorId":200340,"corporation":false,"usgs":false,"family":"Scavia","given":"Donald","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalcic, Margaret","contributorId":169554,"corporation":false,"usgs":false,"family":"Kalcic","given":"Margaret","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false},{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":721981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muenich, Rebecca Logsdon","contributorId":169555,"corporation":false,"usgs":false,"family":"Muenich","given":"Rebecca","email":"","middleInitial":"Logsdon","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Read, Jennifer","contributorId":140055,"corporation":false,"usgs":false,"family":"Read","given":"Jennifer","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aloysius, Noel","contributorId":169556,"corporation":false,"usgs":false,"family":"Aloysius","given":"Noel","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":721984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boles, Chelsie","contributorId":169558,"corporation":false,"usgs":false,"family":"Boles","given":"Chelsie","email":"","affiliations":[{"id":28133,"text":"Limno Tech, Inc., Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Confesor, Remegio","contributorId":169559,"corporation":false,"usgs":false,"family":"Confesor","given":"Remegio","email":"","affiliations":[{"id":16990,"text":"Heidelberg University","active":true,"usgs":false}],"preferred":false,"id":721987,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DePinto, Joseph","contributorId":23861,"corporation":false,"usgs":true,"family":"DePinto","given":"Joseph","affiliations":[{"id":28133,"text":"Limno Tech, Inc., Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721988,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gildow, Marie","contributorId":169560,"corporation":false,"usgs":false,"family":"Gildow","given":"Marie","email":"","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":721989,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Martin, Jay","contributorId":169561,"corporation":false,"usgs":false,"family":"Martin","given":"Jay","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":721990,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Redder, Todd","contributorId":169562,"corporation":false,"usgs":false,"family":"Redder","given":"Todd","email":"","affiliations":[{"id":28133,"text":"Limno Tech, Inc., Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721991,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721992,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sowa, Scott P. 0000-0002-5425-2591 sowasp@missouri.edu","orcid":"https://orcid.org/0000-0002-5425-2591","contributorId":146672,"corporation":false,"usgs":false,"family":"Sowa","given":"Scott","email":"sowasp@missouri.edu","middleInitial":"P.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":721993,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wang, Yu-Chen","contributorId":169563,"corporation":false,"usgs":false,"family":"Wang","given":"Yu-Chen","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":721994,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yen, Haw 0000-0002-5509-8792","orcid":"https://orcid.org/0000-0002-5509-8792","contributorId":169564,"corporation":false,"usgs":false,"family":"Yen","given":"Haw","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":721996,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70192053,"text":"70192053 - 2017 - The deadly fisheries safety issue no one discusses","interactions":[],"lastModifiedDate":"2018-02-28T14:41:53","indexId":"70192053","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"The deadly fisheries safety issue no one discusses","docAbstract":"No abstract available.
","language":"English","publisher":"American Fisheries Society","usgsCitation":"Bonar, S.A., 2017, The deadly fisheries safety issue no one discusses: Fisheries, v. April 2017, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-084662","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347398,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/2017/04/the-dark-side-of-safety/"}],"volume":"April 2017","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f5b","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714026,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189832,"text":"70189832 - 2017 - Hazus® estimated annualized earthquake losses for the United States","interactions":[],"lastModifiedDate":"2017-07-27T13:08:35","indexId":"70189832","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"FEMA P-366","title":"Hazus® estimated annualized earthquake losses for the United States","docAbstract":"Large earthquakes can cause social and economic disruption that can be unprecedented to any given community, and the full recovery from these impacts may or may not always be achievable. In the United States (U.S.), the 1994 M6.7 Northridge earthquake in California remains the third costliest disaster in U.S. history; and it was one of the most expensive disasters for the federal government. Internationally, earthquakes in the last decade alone have claimed tens of thousands of lives and caused hundreds of billions of dollars of economic impact throughout the globe (~90 billion U.S. dollars (USD) from 2008 M7.9 Wenchuan China, ~20 billion USD from 2010 M8.8 Maule earthquake in Chile, ~220 billion USD from 2011 M9.0 Tohoku Japan earthquake, ~25 billion USD from 2011 M6.3 Christchurch New Zealand, and ~22 billion USD from 2016 M7.0 Kumamoto Japan).
Recent earthquakes show a pattern of steadily increasing damages and losses that are primarily due to three key factors: (1) significant growth in earthquake-prone urban areas, (2) vulnerability of the older building stock, including poorly engineered non-ductile concrete buildings, and (3) an increased interdependency in terms of supply and demand for the businesses that operate among different parts of the world. In the United States, earthquake risk continues to grow with increased exposure of population and development even though the earthquake hazard has remained relatively stable except for the regions of induced seismic activity. Understanding the seismic hazard requires studying earthquake characteristics and locales in which they occur, while understanding the risk requires an assessment of the potential damage from earthquake shaking to the built environment and to the welfare of people—especially in high-risk areas.
Estimating the varying degree of earthquake risk throughout the United States is critical for informed decision-making on mitigation policies, priorities, strategies, and funding levels in the public and private sectors. For example, potential losses to new buildings may be reduced by proper land-use planning, applying most current seismic design codes and using new technologies and specialized construction techniques. However, decisions to spend money on any of those solutions require benefit and cost comparison against the perceived risk. Previous versions of the FEMA 366 studies are the only nationally accepted criteria and methodology for comparing seismic risk across regions.
","language":"English","publisher":"Federal Emergency Management Agency","usgsCitation":"Jaiswal, K.S., Bausch, D., Rozelle, J., Holub, J., and McGowan, S., 2017, Hazus® estimated annualized earthquake losses for the United States, v, 75 p.","productDescription":"v, 75 p.","numberOfPages":"78","ipdsId":"IP-086208","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344389,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.fema.gov/media-library-data/1497362829336-7831a863fd9c5490379b28409d541efe/FEMAP-366_2017.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597afba6e4b0a38ca2750b56","contributors":{"authors":[{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bausch, Doug","contributorId":195191,"corporation":false,"usgs":false,"family":"Bausch","given":"Doug","email":"","affiliations":[{"id":34169,"text":"Pacific Disaster Center","active":true,"usgs":false}],"preferred":false,"id":706496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rozelle, Jesse","contributorId":195192,"corporation":false,"usgs":false,"family":"Rozelle","given":"Jesse","email":"","affiliations":[{"id":30786,"text":"FEMA","active":true,"usgs":false}],"preferred":false,"id":706497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holub, John","contributorId":195238,"corporation":false,"usgs":false,"family":"Holub","given":"John","email":"","affiliations":[],"preferred":false,"id":706587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGowan, Sean","contributorId":195190,"corporation":false,"usgs":false,"family":"McGowan","given":"Sean","affiliations":[],"preferred":false,"id":706588,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188157,"text":"70188157 - 2017 - The role of uplift and erosion in the persistence of saline groundwater in the shallow subsurface","interactions":[],"lastModifiedDate":"2018-03-29T11:22:31","indexId":"70188157","displayToPublicDate":"2017-04-01T00:00:00","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 role of uplift and erosion in the persistence of saline groundwater in the shallow subsurface","docAbstract":"In many regions of the world, the shallow (<300 m) subsurface is replenished with meteoric recharge within a few centuries or millennia, but in some regions saline groundwater persists despite abundant rainfall. Analyses of the flushing rate of shallow groundwater usually consider the permeability and recharge rate and a static landscape. The influence of landscape evolution can become important over millions of years, however. Here we present numerical simulations of fluid flow and transport in the top 1 km of a sedimentary foreland basin dominated by aquitards, where the rate of uplift and erosion (20 m Ma−1) balances that of meteoric flushing. Paleozoic age saline groundwater and brine persist at shallow depths that might otherwise have contained potable water. Similar hydrogeologic conditions, and uplift and erosion rates, likely exist in many other regions of the world, where a moving landscape has probably never been considered as an important contributor to groundwater quality.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL072980","usgsCitation":"Yager, R.M., McCoy, K.J., Voss, C.I., Sanford, W.E., and Winston, R.B., 2017, The role of uplift and erosion in the persistence of saline groundwater in the shallow subsurface: Geophysical Research Letters, v. 44, no. 8, p. 3672-3681, https://doi.org/10.1002/2017GL072980.","productDescription":"10 p.","startPage":"3672","endPage":"3681","ipdsId":"IP-074589","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":469971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl072980","text":"Publisher Index Page"},{"id":352930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-30","publicationStatus":"PW","scienceBaseUri":"5afee8abe4b0da30c1bfc48d","contributors":{"authors":[{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":696942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Kurt J. 0000-0002-9756-8238 kjmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":1391,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt","email":"kjmccoy@usgs.gov","middleInitial":"J.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":696943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":696944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":696945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":696946,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187665,"text":"70187665 - 2017 - Implanting 8-mm passive integrated transponder tags into small Brook Trout: Effects on growth and survival in the laboratory","interactions":[],"lastModifiedDate":"2017-05-12T15:50:48","indexId":"70187665","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Implanting 8-mm passive integrated transponder tags into small Brook Trout: Effects on growth and survival in the laboratory","docAbstract":"Passive integrated transponder (PIT) tags are commonly used to investigate relationships between individual fish and their environment. The recent availability of smaller tags has provided the opportunity to tag smaller fish. In this study, we implanted 8-mm PIT tags into small Brook Trout Salvelinus fontinalis (35–50 mm FL; 0.35–1.266 g) and compared tag retention, growth rates, and survival of PIT-tagged fish with those of fish subjected to handling only or to handling plus fin clipping. We also examined how initial size at tagging affected absolute and specific growth rates of PIT-tagged individuals over time. We found that survival was 100%, tag retention was 96.7%, and fish size did not vary across treatments at 29 and 64 d posttagging. Additionally, there was no evidence that growth rate (FL or mass) was influenced by the initial size of the fish that were PIT tagged. Our results indicate that retention rates of 8-mm PIT tags surgically implanted into small Brook Trout are high and that there is no discernible effect on growth or survival in the laboratory. The ability to implant smaller PIT tags into smaller fish earlier in the season would allow researchers conducting PIT tag studies to expand demographic models to estimate survival of age-0 fish through the summer of their first year.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1307291","usgsCitation":"O’Donnell, M.J., and Letcher, B.H., 2017, Implanting 8-mm passive integrated transponder tags into small Brook Trout: Effects on growth and survival in the laboratory: North American Journal of Fisheries Management, v. 37, no. 3, p. 605-611, https://doi.org/10.1080/02755947.2017.1307291.","productDescription":"7 p.","startPage":"605","endPage":"611","ipdsId":"IP-076069","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":461675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02755947.2017.1307291","text":"Publisher Index Page"},{"id":341241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"5916c9b4e4b044b359e48696","contributors":{"authors":[{"text":"O’Donnell, Matthew J. 0000-0002-9089-2377 modonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":2003,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"modonnell@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":694998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":149617,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":694997,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194465,"text":"70194465 - 2017 - Grand challenges in understanding the interplay of climate and land changes","interactions":[],"lastModifiedDate":"2017-11-28T16:30:53","indexId":"70194465","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Grand challenges in understanding the interplay of climate and land changes","docAbstract":"Half of Earth’s land surface has been altered by human activities, creating various consequences on the climate and weather systems at local to global scales, which in turn affect a myriad of land surface processes and the adaptation behaviors. This study reviews the status and major knowledge gaps in the interactions of land and atmospheric changes and present 11 grand challenge areas for the scientific research and adaptation community in the coming decade. These land-cover and land-use change (LCLUC)-related areas include 1) impacts on weather and climate, 2) carbon and other biogeochemical cycles, 3) biospheric emissions, 4) the water cycle, 5) agriculture, 6) urbanization, 7) acclimation of biogeochemical processes to climate change, 8) plant migration, 9) land-use projections, 10) model and data uncertainties, and, finally, 11) adaptation strategies. Numerous studies have demonstrated the effects of LCLUC on local to global climate and weather systems, but these putative effects vary greatly in magnitude and even sign across space, time, and scale and thus remain highly uncertain. At the same time, many challenges exist toward improved understanding of the consequences of atmospheric and climate change on land process dynamics and services. Future effort must improve the understanding of the scale-dependent, multifaceted perturbations and feedbacks between land and climate changes in both reality and models. To this end, one critical cross-disciplinary need is to systematically quantify and better understand measurement and model uncertainties. Finally, LCLUC mitigation and adaptation assessments must be strengthened to identify implementation barriers, evaluate and prioritize opportunities, and examine how decision-making processes work in specific contexts.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-16-0012.1","usgsCitation":"Liu, S., Bond-Lamberty, B., Boysen, L.R., Ford, J.D., Fox, A., Gallo, K., Hatfield, J.L., Henebry, G.M., Huntington, T.G., Liu, Z., Loveland, T.R., Norby, R.J., Sohl, T.L., Steiner, A.L., Yuan, W., Zhang, Z., and Zhao, S., 2017, Grand challenges in understanding the interplay of climate and land changes: Earth Interactions, v. 21, p. 1-43, https://doi.org/10.1175/EI-D-16-0012.1.","productDescription":"Paper No. 2; 43 p.","startPage":"1","endPage":"43","ipdsId":"IP-073337","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469960,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11858/00-001M-0000-002D-26BD-F","text":"External Repository"},{"id":349491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-28","publicationStatus":"PW","scienceBaseUri":"5a60fbede4b06e28e9c23799","contributors":{"authors":[{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":723943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond-Lamberty, Ben","contributorId":172028,"corporation":false,"usgs":false,"family":"Bond-Lamberty","given":"Ben","email":"","affiliations":[{"id":13566,"text":"Joint Global Change Research Institute, Pacific Northwest National Laboratory","active":true,"usgs":false},{"id":33852,"text":"Univ of Maryland, College Park, MD","active":true,"usgs":false}],"preferred":false,"id":723948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boysen, Lena R.","contributorId":200963,"corporation":false,"usgs":false,"family":"Boysen","given":"Lena","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, James D.","contributorId":200964,"corporation":false,"usgs":false,"family":"Ford","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":723950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Andrew","contributorId":190103,"corporation":false,"usgs":false,"family":"Fox","given":"Andrew","affiliations":[],"preferred":false,"id":723951,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallo, Kevin 0000-0001-9162-5011 kgallo@usgs.gov","orcid":"https://orcid.org/0000-0001-9162-5011","contributorId":192334,"corporation":false,"usgs":true,"family":"Gallo","given":"Kevin","email":"kgallo@usgs.gov","affiliations":[],"preferred":true,"id":723952,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hatfield, Jerry L.","contributorId":71082,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jerry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723953,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Henebry, Geoffrey M.","contributorId":124528,"corporation":false,"usgs":false,"family":"Henebry","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":723954,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723944,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liu, Zhihua","contributorId":105228,"corporation":false,"usgs":true,"family":"Liu","given":"Zhihua","email":"","affiliations":[],"preferred":false,"id":723955,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":723956,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Norby, Richard J. 0000-0002-0238-9828","orcid":"https://orcid.org/0000-0002-0238-9828","contributorId":167836,"corporation":false,"usgs":false,"family":"Norby","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723957,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":723958,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Steiner, Allison L.","contributorId":49261,"corporation":false,"usgs":true,"family":"Steiner","given":"Allison","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723959,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Yuan, Wenping","contributorId":83435,"corporation":false,"usgs":true,"family":"Yuan","given":"Wenping","email":"","affiliations":[],"preferred":false,"id":723960,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zhang, Zhao","contributorId":200965,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhao","email":"","affiliations":[],"preferred":false,"id":723961,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zhao, Shuqing","contributorId":9152,"corporation":false,"usgs":true,"family":"Zhao","given":"Shuqing","email":"","affiliations":[],"preferred":false,"id":723962,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70193112,"text":"70193112 - 2017 - Statistical principles of post-construction fatality monitoring design","interactions":[],"lastModifiedDate":"2020-08-21T13:19:03.355243","indexId":"70193112","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Statistical principles of post-construction fatality monitoring design","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife and wind farms, conflicts and solutions, Vol. 2 Onshore: Monitoring and mitigation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Pelagic Publishing","isbn":"9781784271237","usgsCitation":"Huso, M.M., Dalthorp, D., and Korner-Nievergelt, F., 2017, Statistical principles of post-construction fatality monitoring design, chap. 4 of Wildlife and wind farms, conflicts and solutions, Vol. 2 Onshore: Monitoring and mitigation.","ipdsId":"IP-066900","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":351717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347762,"type":{"id":15,"text":"Index Page"},"url":"https://pelagicpublishing.com/collections/wildlife-and-wind-farms-martin-perrow/products/wildlife-and-wind-farms-vol-2-onshore-monitoring-mitigation"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee89fe4b0da30c1bfc483","contributors":{"authors":[{"text":"Huso, Manuela M. 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":150012,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":718015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":718016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korner-Nievergelt, Fraenzi","contributorId":199045,"corporation":false,"usgs":false,"family":"Korner-Nievergelt","given":"Fraenzi","email":"","affiliations":[],"preferred":false,"id":718017,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187205,"text":"70187205 - 2017 - Scale-specific habitat relationships influence patch occupancy: defining neighborhoods to optimize the effectiveness of landscape-scale grassland bird conservation","interactions":[],"lastModifiedDate":"2017-04-26T12:45:06","indexId":"70187205","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Scale-specific habitat relationships influence patch occupancy: defining neighborhoods to optimize the effectiveness of landscape-scale grassland bird conservation","docAbstract":"Context
Beyond the recognized importance of protecting large areas of contiguous habitat, conservation efforts for many species are complicated by the fact that patch suitability may also be affected by characteristics of the landscape within which the patch is located. Currently, little is known about the spatial scales at which species respond to different aspects of the landscape surrounding an occupied patch.
Objectives
Using grassland bird point count data, we describe an approach to evaluating scale-specific effects of landscape composition on patch occupancy.
Methods
We used data from 793 point count surveys conducted in idle and grazed grasslands across Wisconsin, USA from 2012 to 2014 to evaluate scale-dependencies in the response of grassland birds to landscape composition. Patch occupancy models were used to evaluate the relationship between occupancy and landscape composition at scales from 100 to 3000 m.
Results
Bobolink (Dolichonyx oryzivorus) exhibited a pattern indicating selection for grassland habitats in the surrounding landscape at all spatial scales while selecting against other habitats. Eastern Meadowlark (Sturnella magna) displayed evidence of scale sensitivity for all habitat types. Grasshopper Sparrow (Ammodramus savannarum) showed a strong positive response to pasture and idle grass at all scales and negatively to cropland at large scales. Unlike other species, patch occupancy by Henslow’s Sparrow (A. henslowii) was primarily influenced by patch area.
Conclusions
Our results suggest that both working grasslands (pasture) and idle conservation grasslands can play an important role in grassland bird conservation but also highlight the importance of considering species-specific patch and landscape characteristics for effective conservation.
Drought events are increasing globally, and reports of consequent forest mortality are widespread. However, due to a lack of a quantitative global synthesis, it is still not clear whether drought-induced mortality rates differ among global biomes and whether functional traits influence the risk of drought-induced mortality. To address these uncertainties, we performed a global meta-analysis of 58 studies of drought-induced forest mortality. Mortality rates were modelled as a function of drought, temperature, biomes, phylogenetic and functional groups and functional traits. We identified a consistent global-scale response, where mortality increased with drought severity [log mortality (trees trees−1 year−1) increased 0.46 (95% CI = 0.2–0.7) with one SPEI unit drought intensity]. We found no significant differences in the magnitude of the response depending on forest biomes or between angiosperms and gymnosperms or evergreen and deciduous tree species. Functional traits explained some of the variation in drought responses between species (i.e. increased from 30 to 37% when wood density and specific leaf area were included). Tree species with denser wood and lower specific leaf area showed lower mortality responses. Our results illustrate the value of functional traits for understanding patterns of drought-induced tree mortality and suggest that mortality could become increasingly widespread in the future.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.12748","usgsCitation":"Greenwood, S., Ruiz-Benito, P., Martínez-Vilalta, J., Lloret, F., Kitzberger, T., Allen, C.D., Fensham, R., Laughlin, D.C., Kattge, J., Bonisch, G., Kraft, N.J., and Jump, A.S., 2017, Tree mortality across biomes is promoted by drought intensity, lower wood density and higher specific leaf area: Ecology Letters, v. 20, no. 4, p. 539-553, https://doi.org/10.1111/ele.12748.","productDescription":"15 p.","startPage":"539","endPage":"553","ipdsId":"IP-080072","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.12748","text":"Publisher Index Page"},{"id":349077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-21","publicationStatus":"PW","scienceBaseUri":"5a60fbede4b06e28e9c2379b","contributors":{"authors":[{"text":"Greenwood, Sarah","contributorId":200537,"corporation":false,"usgs":false,"family":"Greenwood","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":722619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruiz-Benito, Paloma","contributorId":200538,"corporation":false,"usgs":false,"family":"Ruiz-Benito","given":"Paloma","email":"","affiliations":[],"preferred":false,"id":722620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martínez-Vilalta, Jordi","contributorId":182016,"corporation":false,"usgs":false,"family":"Martínez-Vilalta","given":"Jordi","affiliations":[],"preferred":false,"id":722621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lloret, Francisco","contributorId":181986,"corporation":false,"usgs":false,"family":"Lloret","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":722622,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitzberger, Thomas","contributorId":181980,"corporation":false,"usgs":false,"family":"Kitzberger","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":722623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":722618,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fensham, Rod","contributorId":200542,"corporation":false,"usgs":false,"family":"Fensham","given":"Rod","email":"","affiliations":[],"preferred":false,"id":722624,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laughlin, Daniel C.","contributorId":200543,"corporation":false,"usgs":false,"family":"Laughlin","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722625,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kattge, Jens","contributorId":200544,"corporation":false,"usgs":false,"family":"Kattge","given":"Jens","email":"","affiliations":[],"preferred":false,"id":722626,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bonisch, Gerhard","contributorId":200545,"corporation":false,"usgs":false,"family":"Bonisch","given":"Gerhard","email":"","affiliations":[],"preferred":false,"id":722627,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kraft, Nathan J. B.","contributorId":190203,"corporation":false,"usgs":false,"family":"Kraft","given":"Nathan","email":"","middleInitial":"J. B.","affiliations":[],"preferred":false,"id":722628,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jump, Alistair S.","contributorId":200547,"corporation":false,"usgs":false,"family":"Jump","given":"Alistair","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":722629,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70193222,"text":"70193222 - 2017 - Himalayan thoroughfare: Migratory routes of ducks over the rooftop of the world","interactions":[],"lastModifiedDate":"2021-04-09T17:07:46.774902","indexId":"70193222","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Himalayan thoroughfare: Migratory routes of ducks over the rooftop of the world","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bird migration across the Himalayas: Wetland functioning amidst mountains and glaciers","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781316335420.005","usgsCitation":"Namgail, T., Takekawa, J.Y., Balachandran, S., Palm, E.C., Mundkur, T., Velez, V.M., Prosser, D.J., and Newman, S.H., 2017, Himalayan thoroughfare: Migratory routes of ducks over the rooftop of the world, chap. 2 of Bird migration across the Himalayas: Wetland functioning amidst mountains and glaciers, p. 30-44, https://doi.org/10.1017/9781316335420.005.","productDescription":"15 p.","startPage":"30","endPage":"44","ipdsId":"IP-022450","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":349936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Himalayas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 81.0791015625,\n 26.23430203240673\n ],\n [\n 96.85546875,\n 26.23430203240673\n ],\n [\n 96.85546875,\n 31.765537409484374\n ],\n [\n 81.0791015625,\n 31.765537409484374\n ],\n [\n 81.0791015625,\n 26.23430203240673\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbeee4b06e28e9c237a4","contributors":{"editors":[{"text":"Prins, H.H.T.","contributorId":79697,"corporation":false,"usgs":true,"family":"Prins","given":"H.H.T.","email":"","affiliations":[],"preferred":false,"id":724837,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Namgail, Tsewang","contributorId":150756,"corporation":false,"usgs":false,"family":"Namgail","given":"Tsewang","email":"","affiliations":[{"id":18092,"text":"formerly with U.S. Geological Survey, Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":724838,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Namgail, Tsewang","contributorId":150756,"corporation":false,"usgs":false,"family":"Namgail","given":"Tsewang","email":"","affiliations":[{"id":18092,"text":"formerly with U.S. Geological Survey, Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":718257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":718255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balachandran, Sivananinthaperumal","contributorId":199125,"corporation":false,"usgs":false,"family":"Balachandran","given":"Sivananinthaperumal","affiliations":[],"preferred":false,"id":718258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palm, Eric C.","contributorId":199126,"corporation":false,"usgs":false,"family":"Palm","given":"Eric","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":718259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mundkur, Taej","contributorId":199127,"corporation":false,"usgs":false,"family":"Mundkur","given":"Taej","email":"","affiliations":[],"preferred":false,"id":718260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Velez, Victor Martin","contributorId":199128,"corporation":false,"usgs":false,"family":"Velez","given":"Victor","email":"","middleInitial":"Martin","affiliations":[],"preferred":false,"id":718261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":718262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newman, Scott H.","contributorId":199129,"corporation":false,"usgs":false,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":718263,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192694,"text":"70192694 - 2017 - Comparative life history of the south temperate Cape Penduline Tit (Anthoscopus minutus) and north temperate Remizidae species","interactions":[],"lastModifiedDate":"2017-11-08T14:43:28","indexId":"70192694","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparative life history of the south temperate Cape Penduline Tit (Anthoscopus minutus) and north temperate Remizidae species","title":"Comparative life history of the south temperate Cape Penduline Tit (Anthoscopus minutus) and north temperate Remizidae species","docAbstract":"We studied the breeding biology of the south temperate Cape Penduline Tit (Anthoscopus minutus) in order to compare its life history traits with those of related north temperate members of the family Remizidae, namely the Eurasian Penduline Tit (Remiz pendulinus) and the Verdin (Auriparus flaviceps). We used this comparison to test key predictions of three hypotheses thought to explain latitudinal variation in life histories among bird species—the seasonality and food limitation hypothesis, nest predation hypothesis and adult mortality hypothesis. Contrary to the general pattern of smaller clutch size and lower adult mortality among south-temperate birds living in less seasonal environments, the Cape Penduline Tit has a clutch size larger than that of the Verdin and similar to that of the Eurasian Penduline Tit, and higher adult mortality than both of the other two species. The most notable difference between the Cape Penduline Tit and the two other species is in parental behavioural strategy, with the former exhibiting bi-parental care at all stages of nesting together with facultative cooperative breeding, whereas the Eurasian Penduline Tit has uni-parental care and the Verdin has a combination of female-only incubation but bi-parental nestling care. Consequently, in comparison to the other two species, the Cape Penduline Tit exhibits greater nest attentiveness during incubation, a similar per-nestling feeding rate and greater post-fledging survival. Its relatively large clutch size, high parental investment and associated high adult mortality in a less seasonal environment are consistent with key predictions of the adult mortality hypothesis but not with key predictions of the seasonality and food limitation hypothesis in explaining life history variation among Remizidae species. These results add to a growing body of evidence of the importance of age-specific mortality in shaping life history evolution.
","language":"English","publisher":"Springer","doi":"10.1007/s10336-016-1417-4","usgsCitation":"Lloyd, P., Frauenknecht, B.D., du Plessis, M.A., and Martin, T.E., 2017, Comparative life history of the south temperate Cape Penduline Tit (Anthoscopus minutus) and north temperate Remizidae species: Journal of Ornithology, v. 158, no. 2, p. 569-577, https://doi.org/10.1007/s10336-016-1417-4.","productDescription":"9 p.","startPage":"569","endPage":"577","ipdsId":"IP-076670","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"158","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"5a0425bae4b0dc0b45b4539c","contributors":{"authors":[{"text":"Lloyd, Penn","contributorId":200179,"corporation":false,"usgs":false,"family":"Lloyd","given":"Penn","email":"","affiliations":[],"preferred":false,"id":721314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frauenknecht, Bernhard D.","contributorId":200180,"corporation":false,"usgs":false,"family":"Frauenknecht","given":"Bernhard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"du Plessis, Morne A.","contributorId":27723,"corporation":false,"usgs":true,"family":"du Plessis","given":"Morne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188346,"text":"70188346 - 2017 - Microbial methane from in situ biodegradation of coal and shale: A review and reevaluation of hydrogen and carbon isotope signatures","interactions":[],"lastModifiedDate":"2017-06-06T16:08:28","indexId":"70188346","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial methane from in situ biodegradation of coal and shale: A review and reevaluation of hydrogen and carbon isotope signatures","docAbstract":"Stable carbon and hydrogen isotope signatures of methane, water, and inorganic carbon are widely utilized in natural gas systems for distinguishing microbial and thermogenic methane and for delineating methanogenic pathways (acetoclastic, hydrogenotrophic, and/or methylotrophic methanogenesis). Recent studies of coal and shale gas systems have characterized in situ microbial communities and provided stable isotope data (δD-CH4, δD-H2O, δ13C-CH4, and δ13C-CO2) from a wider range of environments than available previously. Here we review the principal biogenic methane-yielding pathways in coal beds and shales and the isotope effects imparted on methane, document the uncertainties and inconsistencies in established isotopic fingerprinting techniques, and identify the knowledge gaps in understanding the subsurface processes that govern H and C isotope signatures of biogenic methane. We also compare established isotopic interpretations with recent microbial community characterization techniques, which reveal additional inconsistencies in the interpretation of microbial metabolic pathways in coal beds and shales. Collectively, the re-assessed data show that widely-utilized isotopic fingerprinting techniques neglect important complications in coal beds and shales.
Isotopic fingerprinting techniques that combine δ13C-CH4 with δD-CH4 and/or δ13C-CO2have significant limitations: (1) The consistent ~ 160‰ offset between δD-H2O and δD-CH4 could imply that hydrogenotrophic methanogenesis is the dominant metabolic pathway in microbial gas systems. However, hydrogen isotopes can equilibrate between methane precursors and coexisting water, yielding a similar apparent H isotope signal as hydrogenotrophic methanogenesis, regardless of the actual methane formation pathway. (2) Non-methanogenic processes such as sulfate reduction, Fe oxide reduction, inputs of thermogenic methane, anaerobic methane oxidation, and/or formation water interaction can cause the apparent carbon isotope fractionation between δ13C-CH4 and δ13C-CO2(α13CCO2-CH4) to differ from the true methanogenic fractionation, complicating interpretation of methanogenic pathways. (3) Where little-fractionating non-methanogenic bacterial processes compete with highly-fractionating methanogenesis, the mass balance between CH4 and CO2 is affected. This has implications for δ13C values and provides an alternative interpretation for net C isotope signatures than solely the pathways used by active methanogens. (4) While most of the reviewed values of δD-H2O - δD-CH4 and α13CCO2-CH4 are apparently consistent with hydrogenotrophic methanogenesis as the dominant pathway in coal beds and shales, recent microbial community characterization techniques suggest a possible role for acetoclastic or methylotrophic methanogenesis in some basins.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2017.01.027","usgsCitation":"Vinson, D.S., Blair, N.E., Martini, A.M., Larter, S., Orem, W.H., and McIntosh, J.C., 2017, Microbial methane from in situ biodegradation of coal and shale: A review and reevaluation of hydrogen and carbon isotope signatures: Chemical Geology, v. 453, p. 128-145, https://doi.org/10.1016/j.chemgeo.2017.01.027.","productDescription":"18 p.","startPage":"128","endPage":"145","ipdsId":"IP-073590","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2017.01.027","text":"Publisher Index Page"},{"id":342186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"453","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf2de4b0f6c2d0d9c756","contributors":{"authors":[{"text":"Vinson, David S.","contributorId":172390,"corporation":false,"usgs":false,"family":"Vinson","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":25392,"text":"Department of Geography and Earth Science, University of North Carolina at Charlotte, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":697341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blair, Neal E.","contributorId":192674,"corporation":false,"usgs":false,"family":"Blair","given":"Neal","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":697342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martini, Anna M.","contributorId":192675,"corporation":false,"usgs":false,"family":"Martini","given":"Anna","email":"","middleInitial":"M.","affiliations":[{"id":35249,"text":"Department of Geology, Amherst College","active":true,"usgs":false}],"preferred":false,"id":697343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larter, Steve","contributorId":192676,"corporation":false,"usgs":false,"family":"Larter","given":"Steve","email":"","affiliations":[],"preferred":false,"id":697344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":697340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntosh, Jennifer C.","contributorId":139870,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":13301,"text":"Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":697345,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192016,"text":"70192016 - 2017 - Book review: Bovids of the World: Antelopes, gazelles, cattle, goats, sheep, and relatives","interactions":[],"lastModifiedDate":"2017-10-25T16:27:35","indexId":"70192016","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Bovids of the World: Antelopes, gazelles, cattle, goats, sheep, and relatives","docAbstract":"No abstract available.
Book info: Bovids of the World: Antelopes, Gazelles, Cattle, Goats, Sheep, and Relatives. José R. Castelló. 2016. Princeton University Press, Princeton, New Jersey, USA. 664 pp. ISBN 978-0-691-16717-6.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21197","usgsCitation":"Leslie, D., 2017, Book review: Bovids of the World: Antelopes, gazelles, cattle, goats, sheep, and relatives: Journal of Wildlife Management, v. 81, no. 3, p. 554-554, https://doi.org/10.1002/jwmg.21197.","productDescription":"1 p.","startPage":"554","endPage":"554","ipdsId":"IP-080685","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a6e4b0220bbd9d9f5f","contributors":{"authors":[{"text":"Leslie, David 0000-0002-3884-1484 cleslie@usgs.gov","orcid":"https://orcid.org/0000-0002-3884-1484","contributorId":169989,"corporation":false,"usgs":true,"family":"Leslie","given":"David","email":"cleslie@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713843,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192869,"text":"70192869 - 2017 - Coupling ecological and social network models to assess “transmission” and “contagion” of an aquatic invasive species","interactions":[],"lastModifiedDate":"2017-11-08T10:52:59","indexId":"70192869","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Coupling ecological and social network models to assess “transmission” and “contagion” of an aquatic invasive species","docAbstract":"Network analysis is used to address diverse ecological, social, economic, and epidemiological questions, but few efforts have been made to combine these field-specific analyses into interdisciplinary approaches that effectively address how complex systems are interdependent and connected to one another. Identifying and understanding these cross-boundary connections improves natural resource management and promotes proactive, rather than reactive, decisions. This research had two main objectives; first, adapt the framework and approach of infectious disease network modeling so that it may be applied to the socio-ecological problem of spreading aquatic invasive species, and second, use this new coupled model to simulate the spread of the invasive Chinese mystery snail (Bellamya chinensis) in a reservoir network in Southeastern Nebraska, USA. The coupled model integrates an existing social network model of how anglers move on the landscape with new reservoir-specific ecological network models. This approach allowed us to identify 1) how angler movement among reservoirs aids in the spread of B. chinensis, 2) how B. chinensisalters energy flows within individual-reservoir food webs, and 3) a new method for assessing the spread of any number of non-native or invasive species within complex, social-ecological systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.12.012","usgsCitation":"Haak, D.M., Fath, B.D., Forbes, V.E., Martin, D., and Pope, K.L., 2017, Coupling ecological and social network models to assess “transmission” and “contagion” of an aquatic invasive species: Journal of Environmental Management, v. 190, p. 243-251, https://doi.org/10.1016/j.jenvman.2016.12.012.","productDescription":"9 p.","startPage":"243","endPage":"251","ipdsId":"IP-067053","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"text":"Publisher Index Page"},{"id":348421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"190","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bae4b0dc0b45b45394","contributors":{"authors":[{"text":"Haak, Danielle M.","contributorId":73078,"corporation":false,"usgs":true,"family":"Haak","given":"Danielle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fath, Brian D.","contributorId":112607,"corporation":false,"usgs":true,"family":"Fath","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forbes, Valery E.","contributorId":140203,"corporation":false,"usgs":false,"family":"Forbes","given":"Valery","email":"","middleInitial":"E.","affiliations":[{"id":13411,"text":"School of Biological Sciences, University of Nebraska-Lincoln, Lincoln NB","active":true,"usgs":false}],"preferred":false,"id":721038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192160,"text":"70192160 - 2017 - Automated cropland mapping of continental Africa using Google Earth Engine cloud computing","interactions":[],"lastModifiedDate":"2017-10-23T13:54:01","indexId":"70192160","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Automated cropland mapping of continental Africa using Google Earth Engine cloud computing","docAbstract":"The automation of agricultural mapping using satellite-derived remotely sensed data remains a challenge in Africa because of the heterogeneous and fragmental landscape, complex crop cycles, and limited access to local knowledge. Currently, consistent, continent-wide routine cropland mapping of Africa does not exist, with most studies focused either on certain portions of the continent or at most a one-time effort at mapping the continent at coarse resolution remote sensing. In this research, we addressed these limitations by applying an automated cropland mapping algorithm (ACMA) that captures extensive knowledge on the croplands of Africa available through: (a) ground-based training samples, (b) very high (sub-meter to five-meter) resolution imagery (VHRI), and (c) local knowledge captured during field visits and/or sourced from country reports and literature. The study used 16-day time-series of Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) composited data at 250-m resolution for the entire African continent. Based on these data, the study first produced accurate reference cropland layers or RCLs (cropland extent/areas, irrigation versus rainfed, cropping intensities, crop dominance, and croplands versus cropland fallows) for the year 2014 that provided an overall accuracy of around 90% for crop extent in different agro-ecological zones (AEZs). The RCLs for the year 2014 (RCL2014) were then used in the development of the ACMA algorithm to create ACMA-derived cropland layers for 2014 (ACL2014). ACL2014 when compared pixel-by-pixel with the RCL2014 had an overall similarity greater than 95%. Based on the ACL2014, the African continent had 296 Mha of net cropland areas (260 Mha cultivated plus 36 Mha fallows) and 330 Mha of gross cropland areas. Of the 260 Mha of net cropland areas cultivated during 2014, 90.6% (236 Mha) was rainfed and just 9.4% (24 Mha) was irrigated. Africa has about 15% of the world’s population, but only about 6% of world’s irrigation. Net cropland area distribution was 95 Mha during season 1, 117 Mha during season 2, and 84 Mha continuous. About 58% of the rainfed and 39% of the irrigated were single crops (net cropland area without cropland fallows) cropped during either season 1 (January-May) or season 2 (June-September). The ACMA algorithm was deployed on Google Earth Engine (GEE) cloud computing platform and applied on MODIS time-series data from 2003 through 2014 to obtain ACMA-derived cropland layers for these years (ACL2003 to ACL2014). The results indicated that over these twelve years, on average: (a) croplands increased by 1 Mha/yr, and (b) cropland fallows decreased by 1 Mha/year. Cropland areas computed from ACL2014 for the 55 African countries were largely underestimated when compared with an independent source of census-based cropland data, with a root-mean-square error (RMSE) of 3.5 Mha. ACMA demonstrated the ability to hind-cast (past years), now-cast (present year), and forecast (future years) cropland products using MODIS 250-m time-series data rapidly, but currently, insufficient reference data exist to rigorously report trends from these results.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2017.01.019","usgsCitation":"Xiong, J., Thenkabail, P.S., Gumma, M., Teluguntla, P.G., Poehnelt, J., Congalton, R.G., Yadav, K., and Thau, D., 2017, Automated cropland mapping of continental Africa using Google Earth Engine cloud computing: ISPRS Journal of Photogrammetry and Remote Sensing, v. 126, p. 225-244, https://doi.org/10.1016/j.isprsjprs.2017.01.019.","productDescription":"20 p.","startPage":"225","endPage":"244","ipdsId":"IP-081308","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469973,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2017.01.019","text":"Publisher Index Page"},{"id":347130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -18.80859375,\n -36.03133177633187\n ],\n [\n 52.03125,\n -36.03133177633187\n ],\n [\n 52.03125,\n 37.579412513438385\n ],\n [\n -18.80859375,\n 37.579412513438385\n ],\n [\n -18.80859375,\n -36.03133177633187\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa9e4b0220bbd988fa9","contributors":{"authors":[{"text":"Xiong, Jun 0000-0002-2320-0780 jxiong@usgs.gov","orcid":"https://orcid.org/0000-0002-2320-0780","contributorId":5276,"corporation":false,"usgs":true,"family":"Xiong","given":"Jun","email":"jxiong@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gumma, Murali Krishna","contributorId":50426,"corporation":false,"usgs":true,"family":"Gumma","given":"Murali Krishna","affiliations":[],"preferred":false,"id":714481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teluguntla, Pardhasaradhi G. 0000-0001-8060-9841 pteluguntla@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":5275,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","email":"pteluguntla@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":714482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poehnelt, Justin 0000-0001-5914-4269","orcid":"https://orcid.org/0000-0001-5914-4269","contributorId":192328,"corporation":false,"usgs":false,"family":"Poehnelt","given":"Justin","email":"","affiliations":[],"preferred":false,"id":714483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Congalton, Russell G.","contributorId":138718,"corporation":false,"usgs":false,"family":"Congalton","given":"Russell","email":"","middleInitial":"G.","affiliations":[{"id":12507,"text":"Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":714484,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yadav, Kamini","contributorId":138720,"corporation":false,"usgs":false,"family":"Yadav","given":"Kamini","affiliations":[{"id":12507,"text":"Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":714485,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thau, David","contributorId":103581,"corporation":false,"usgs":true,"family":"Thau","given":"David","email":"","affiliations":[],"preferred":false,"id":714878,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70185241,"text":"70185241 - 2017 - 2010-2015 Juvenile fish ecology in the Nisqually River Delta and Nisqually Reach Aquatic Reserve","interactions":[],"lastModifiedDate":"2017-04-07T10:58:21","indexId":"70185241","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5367,"text":"Salmon Recovery Program Technical Report","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"2016-1","title":"2010-2015 Juvenile fish ecology in the Nisqually River Delta and Nisqually Reach Aquatic Reserve","docAbstract":"The return of tidal inundation to over 750 acres of the U. S. Fish and Wildlife Service Billy Frank Jr. Nisqually National Wildlife Refuge (NNWR) in fall of 2009 was the crowning moment in the effort to protect and restore the Nisqually Delta. The Nisqually NWR project complemented three earlier restoration projects completed by the Nisqually Indian Tribe (Tribe) on tribal property to restore over 900 acres of the estuary, representing the largest estuary restoration project in the Pacific Northwest and one of the most significant advances to date towards the recovery of Puget Sound (USFWS 2005).
In 2011 the Washington Department of Natural Resources (WADNR established the over 14000 acre Nisqually Reach Aquatic Reserve (Reserve), complementing the protection and restoration successes in the Nisqually Delta. The Reserve includes all state-owned aquatic lands around Anderson, Ketron and Eagle islands and part of McNeil Island (Figure 1, WDNR 2011). The Reserve also includes a diverse assemblage of nearshore and offshore habitats important to resident and migratory fish including federal endangered species act listed fish like Chinook salmon (Oncorynchus tshawytscha) and steelhead (O. mykiss). Studies in the Nisqually Estuary (Ellings and Hodgson 2007, David et al. 2014, Ellings et al. 2016) and South Puget Sound (Duffy 2003) have summarized fish use of the area. However, the fish ecology of the reserve had not been systematically surveyed.
The Tribe, U.S. Geological Survey (USGS), NNWR, Nisqually River Foundation (NRF), and others are currently conducting a multi-year, interdisciplinary, hypothesis-based research and monitoring study investigating the impact of delta restoration on estuarine processes, habitat structures, and functions. Our interdisciplinary monitoring framework enables us to link key estuarine processes with habitat development and biological response at multiple scales across the restored footprint, reference marshes, and throughout the Nisqually Reach. Key research components include hydrology and sediment regime, channel and marsh topography and development, vegetation colonization, and invertebrate, bird, and fish abundance, habitat use, and foraging ecology. After the Reserve was established, the WDNR and the research partnership led by the Tribe expanded the existing delta fish ecology assessment to include sampling stations throughout the Reserve. The results of the Reserve fish ecology assessment provide a unique regional analysis of fish ecology from the Nisqually River to McNeil Island.
","language":"English","publisher":"Nisqually Indian Tribe, Department of Natural Resources","usgsCitation":"Hodgson, S., Ellings, C.S., Rubin, S.P., Hayes, M.C., Duval, W., and Grossman, E., 2017, 2010-2015 Juvenile fish ecology in the Nisqually River Delta and Nisqually Reach Aquatic Reserve: Salmon Recovery Program Technical Report 2016-1, 40 p.","productDescription":"40 p.","ipdsId":"IP-082522","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":339410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337772,"type":{"id":15,"text":"Index Page"},"url":"https://hws.ekosystem.us/project/220/15393"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a541e4b09da6799d63a1","contributors":{"authors":[{"text":"Hodgson, Sayre","contributorId":172121,"corporation":false,"usgs":false,"family":"Hodgson","given":"Sayre","email":"","affiliations":[{"id":26985,"text":"Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":684842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellings, Christopher S.","contributorId":149343,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":17711,"text":"Dep't Natural Resources, Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":684843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, Steve P. 0000-0003-3054-7173 srubin@usgs.gov","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":3018,"corporation":false,"usgs":true,"family":"Rubin","given":"Steve","email":"srubin@usgs.gov","middleInitial":"P.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":684841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":684844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duval, Walker","contributorId":189437,"corporation":false,"usgs":false,"family":"Duval","given":"Walker","affiliations":[],"preferred":false,"id":684845,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":684846,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70182811,"text":"70182811 - 2017 - Inner-shelf ocean dynamics and seafloor morphologic changes during Hurricane Sandy","interactions":[],"lastModifiedDate":"2018-07-23T12:49:07","indexId":"70182811","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Inner-shelf ocean dynamics and seafloor morphologic changes during Hurricane Sandy","docAbstract":"Hurricane Sandy was one of the most destructive hurricanes in US history, making landfall on the New Jersey coast on Oct 30, 2012. Storm impacts included several barrier island breaches, massive coastal erosion, and flooding. While changes to the subaerial landscape are relatively easily observed, storm-induced changes to the adjacent shoreface and inner continental shelf are more difficult to evaluate. These regions provide a framework for the coastal zone, are important for navigation, aggregate resources, marine ecosystems, and coastal evolution. Here we provide unprecedented perspective regarding regional inner continental shelf sediment dynamics based on both observations and numerical modeling over time scales associated with these types of large storm events. Oceanographic conditions and seafloor morphologic changes are evaluated using both a coupled atmospheric-ocean-wave-sediment numerical modeling system and observation analysis from a series of geologic surveys and oceanographic instrument deployments focused on a region offshore of Fire Island, NY. The geologic investigations conducted in 2011 and 2014 revealed lateral movement of sedimentary structures of distances up to 450 m and in water depths up to 30 m, and vertical changes in sediment thickness greater than 1 m in some locations. The modeling investigations utilize a system with grid refinement designed to simulate oceanographic conditions with progressively increasing resolutions for the entire US East Coast (5-km grid), the New York Bight (700-m grid), and offshore of Fire Island, NY (100-m grid), allowing larger scale dynamics to drive smaller scale coastal changes. Model results in the New York Bight identify maximum storm surge of up to 3 m, surface currents on the order of 2 ms-1 along the New Jersey coast, waves up to 8 m in height, and bottom stresses exceeding 10 Pa. Flow down the Hudson Shelf Valley is shown to result in convergent sediment transport and deposition along its axis. Modeled sediment redistribution along Fire Island showed erosion across the crests of inner shelf sand ridges and sedimentation in adjacent troughs, consistent with the geologic observations.","language":"English","publisher":"Elsevier ","doi":"10.1016/j.csr.2017.02.003","usgsCitation":"Warner, J., Schwab, W.C., List, J.H., Safak, I., Liste, M., and Baldwin, W.E., 2017, Inner-shelf ocean dynamics and seafloor morphologic changes during Hurricane Sandy: Continental Shelf Research, v. 138, p. 1-18, https://doi.org/10.1016/j.csr.2017.02.003.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-072875","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":469976,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2017.02.003","text":"Publisher Index Page"},{"id":336758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"138","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e60271e4b09da6799ac67f","chorus":{"doi":"10.1016/j.csr.2017.02.003","url":"http://dx.doi.org/10.1016/j.csr.2017.02.003","publisher":"Elsevier BV","authors":"Warner John C., Schwab William C., List Jeffrey H., Safak Ilgar, Liste Maria, Baldwin Wayne","journalName":"Continental Shelf Research","publicationDate":"4/2017"},"contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":673847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":673848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":673849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Safak, Ilgar 0000-0001-7675-0770 isafak@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-0770","contributorId":5522,"corporation":false,"usgs":true,"family":"Safak","given":"Ilgar","email":"isafak@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":673850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liste, Maria","contributorId":190581,"corporation":false,"usgs":false,"family":"Liste","given":"Maria","email":"","affiliations":[],"preferred":false,"id":673851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":673852,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192091,"text":"70192091 - 2017 - The Evergreen basin and the role of the Silver Creek fault in the San Andreas fault system, San Francisco Bay region, California","interactions":[],"lastModifiedDate":"2018-05-01T16:45:24","indexId":"70192091","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"The Evergreen basin and the role of the Silver Creek fault in the San Andreas fault system, San Francisco Bay region, California","docAbstract":"The Evergreen basin is a 40-km-long, 8-km-wide Cenozoic sedimentary basin that lies mostly concealed beneath the northeastern margin of the Santa Clara Valley near the south end of San Francisco Bay (California, USA). The basin is bounded on the northeast by the strike-slip Hayward fault and an approximately parallel subsurface fault that is structurally overlain by a set of west-verging reverse-oblique faults which form the present-day southeastward extension of the Hayward fault. It is bounded on the southwest by the Silver Creek fault, a largely dormant or abandoned fault that splays from the active southern Calaveras fault. We propose that the Evergreen basin formed as a strike-slip pull-apart basin in the right step from the Silver Creek fault to the Hayward fault during a time when the Silver Creek fault served as a segment of the main route by which slip was transferred from the central California San Andreas fault to the Hayward and other East Bay faults. The dimensions and shape of the Evergreen basin, together with palinspastic reconstructions of geologic and geophysical features surrounding it, suggest that during its lifetime, the Silver Creek fault transferred a significant portion of the ∼100 km of total offset accommodated by the Hayward fault, and of the 175 km of total San Andreas system offset thought to have been accommodated by the entire East Bay fault system. As shown previously, at ca. 1.5–2.5 Ma the Hayward-Calaveras connection changed from a right-step, releasing regime to a left-step, restraining regime, with the consequent effective abandonment of the Silver Creek fault. This reorganization was, perhaps, preceded by development of the previously proposed basin-bisecting Mount Misery fault, a fault that directly linked the southern end of the Hayward fault with the southern Calaveras fault during extinction of pull-apart activity. Historic seismicity indicates that slip below a depth of 5 km is mostly transferred from the Calaveras fault to the Hayward fault across the Mission seismic trend northeast of the Evergreen basin, whereas slip above a depth of 5 km is transferred through a complex zone of oblique-reverse faults along and over the northeast basin margin. However, a prominent groundwater flow barrier and related land-subsidence discontinuity coincident with the concealed Silver Creek fault, a discontinuity in the pattern of seismicity on the Calaveras fault at the Silver Creek fault intersection, and a structural sag indicative of a negative flower structure in Quaternary sediments along the southwest basin margin indicate that the Silver Creek fault has had minor ongoing slip over the past few hundred thousand years. Two earthquakes with ∼M6 occurred in A.D. 1903 in the vicinity of the Silver Creek fault, but the available information is not sufficient to reliably identify them as Silver Creek fault events.
","language":"English","publisher":"The Geological Society of America","doi":"10.1130/GES01385.1","usgsCitation":"Jachens, R.C., Wentworth, C.M., Graymer, R.W., Williams, R., Ponce, D.A., Mankinen, E.A., Stephenson, W.J., and Langenheim, V., 2017, The Evergreen basin and the role of the Silver Creek fault in the San Andreas fault system, San Francisco Bay region, California: Geosphere, v. 13, no. 2, p. 269-286, https://doi.org/10.1130/GES01385.1.","productDescription":"18 p.","startPage":"269","endPage":"286","ipdsId":"IP-075589","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":461657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01385.1","text":"Publisher Index Page"},{"id":347167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San 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To explore interest in standardizing at intercontinental scales, a symposium attended by international specialists in freshwater fish sampling was convened at the 145th Annual AFS Meeting in Portland, Oregon, in August 2015. Participants represented all continents except Australia and Antarctica and were employed by state and federal agencies, universities, nongovernmental organizations, and consulting businesses. Currently, standardization is practiced mostly in North America and Europe. Participants described how standardization has been important for management of long-term data sets, promoting fundamental scientific understanding, and assessing efficacy of large spatial scale management strategies. Academics indicated that standardization has been useful in fisheries education because time previously used to teach how sampling methods are developed is now more devoted to diagnosis and treatment of problem fish communities. Researchers reported that standardization allowed increased sample size for method validation and calibration. Group consensus was to retain continental standards where they currently exist but to further explore international and intercontinental standardization, specifically identifying where synergies and bridges exist, and identify means to collaborate with scientists where standardization is limited but interest and need occur.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2017.1276352","usgsCitation":"Bonar, S.A., Mercado-Silva, N., Hubert, W.A., Beard, Dave, G., Kubecka, J., Graeb, B.D., Lester, N.P., Porath, M.T., and Winfield, I.J., 2017, Standard methods for sampling freshwater fishes: Opportunities for international collaboration: Fisheries, v. 42, no. 3, p. 150-156, https://doi.org/10.1080/03632415.2017.1276352.","productDescription":"7 p.","startPage":"150","endPage":"156","ipdsId":"IP-077095","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469967,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/03632415.2017.1276352","text":"External Repository"},{"id":346973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-08","publicationStatus":"PW","scienceBaseUri":"59e9b995e4b05fe04cd65c9c","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercado-Silva, Norman","contributorId":18219,"corporation":false,"usgs":true,"family":"Mercado-Silva","given":"Norman","email":"","affiliations":[],"preferred":false,"id":714013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubert, Wayne A.","contributorId":9325,"corporation":false,"usgs":true,"family":"Hubert","given":"Wayne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":714010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dave, Goran","contributorId":197665,"corporation":false,"usgs":false,"family":"Dave","given":"Goran","email":"","affiliations":[],"preferred":false,"id":714015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kubecka, Jan","contributorId":197666,"corporation":false,"usgs":false,"family":"Kubecka","given":"Jan","email":"","affiliations":[],"preferred":false,"id":714016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graeb, Brian D. 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Given the constraints imposed by extreme seasonality at high latitudes and the rapid shifts in phenology seen in the Arctic, we would also expect Antarctic species to be highly vulnerable to climate-change-driven phenological mismatches with their environment. However, few studies have assessed the impacts of phenological change in Antarctica. Using the largest database of phytoplankton phenology, sea-ice phenology, and Adélie Penguin breeding phenology and breeding success assembled to date, we find that, while a temporal match between Penguin breeding phenology and optimal environmental conditions sets an upper limit on breeding success, only a weak relationship to the mean exists. Despite previous work suggesting that divergent trends in Adélie Penguin breeding phenology are apparent across the Antarctic continent, we find no such trends. Furthermore, we find no trend in the magnitude of phenological mismatch, suggesting that mismatch is driven by interannual variability in environmental conditions rather than climate-change-driven trends, as observed in other systems. We propose several criteria necessary for a species to experience a strong climate-change-driven phenological mismatch, of which several may be violated by this system.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1749","usgsCitation":"Youngflesh, C., Jenouvrier, S., Li, Y., Ji, R., Ainley, D.G., Ballard, G., Barbraud, C., Delord, K., Dugger, K., Emmerson, L.M., Fraser, W.R., Hinke, J.T., Lyver, P.O., Olmastroni, S., Southwell, C.J., Trivelpiece, S.G., Trivelpiece, W.Z., and Lynch, H.J., 2017, Circumpolar analysis of the Adélie Penguin reveals the importance of environmental variability in phenological mismatch: Ecology, v. 98, no. 4, p. 940-951, https://doi.org/10.1002/ecy.1749.","productDescription":"12 p.","startPage":"940","endPage":"951","ipdsId":"IP-076568","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469974,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8890","text":"External 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spill","interactions":[],"lastModifiedDate":"2017-11-06T13:20:40","indexId":"70192170","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Field-scale observations of a transient geobattery resulting from natural attenuation of a crude oil spill","docAbstract":"We present evidence of a geobattery associated with microbial degradation of a mature crude oil spill. Self-potential measurements were collected using a vertical array of nonpolarizing electrodes, starting at the land surface and passing through the smear zone where seasonal water table fluctuations have resulted in the coating of hydrocarbons on the aquifer solids. These passive electrical potential measurements exhibit a dipolar pattern associated with a current source. The anodic and cathodic reactions of this natural battery occur below and above the smear zone, respectively. The smear zone is characterized by high magnetic susceptibility values associated with the precipitation of semiconductive magnetic iron phase minerals as a by-product of biodegradation, facilitating electron transfer between the anode and the cathode. This geobattery response appears to have a transient nature, changing on a monthly scale, probably resulting from chemical and physical changes in subsurface conditions such as water table fluctuations.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016JG003596","usgsCitation":"Heenan, J., Ntarlagiannis, D., Slater, L., Beaver, C., Rossbach, S., Revil, A., Atekwana, E., and Bekins, B.A., 2017, Field-scale observations of a transient geobattery resulting from natural attenuation of a crude oil spill: Journal of Geophysical Research G: Biogeosciences, v. 122, no. 4, p. 918-929, https://doi.org/10.1002/2016JG003596.","productDescription":"12 p.","startPage":"918","endPage":"929","ipdsId":"IP-084296","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":348274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"5a07e910e4b09af898c8cbf3","contributors":{"authors":[{"text":"Heenan, Jeffrey","contributorId":197894,"corporation":false,"usgs":false,"family":"Heenan","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":714536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ntarlagiannis, Dimitris","contributorId":197895,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitris","email":"","affiliations":[],"preferred":false,"id":714537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":714538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beaver, Carol","contributorId":197896,"corporation":false,"usgs":false,"family":"Beaver","given":"Carol","affiliations":[],"preferred":false,"id":714539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rossbach, S.","contributorId":92058,"corporation":false,"usgs":true,"family":"Rossbach","given":"S.","affiliations":[],"preferred":false,"id":714540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Revil, A.","contributorId":49627,"corporation":false,"usgs":true,"family":"Revil","given":"A.","affiliations":[],"preferred":false,"id":714541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atekwana, E.A.","contributorId":94504,"corporation":false,"usgs":true,"family":"Atekwana","given":"E.A.","affiliations":[],"preferred":false,"id":714542,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":714535,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192500,"text":"70192500 - 2017 - Seasonal survival of adult female mottled ducks","interactions":[],"lastModifiedDate":"2017-10-26T14:34:00","indexId":"70192500","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal survival of adult female mottled ducks","docAbstract":"The mottled duck (Anas fulgivula) is a non-migratory duck dependent on coastal habitats to meet all of its life cycle requirements in the Western Gulf Coast (WGC) of Texas and Louisiana, USA. This population of mottled ducks has experienced a moderate decline during the past 2 decades. Adult survival has been identified as an important factor influencing population demography. Previous work based on band-recovery data has provided only annual estimates of survival. We assessed seasonal patterns of female mottled duck survival from 2009 to 2012 using individuals marked with satellite platform transmitter terminals (PTTs). We used temperature and movement sensors within each PTT to indicate potential mortality events. We estimated cumulative weekly survival and ranked factors influential in patterns of mortality using known-fate modeling in Program MARK. Models included 4 predictors: week; hunting and non-hunting periods; biological periods defined as breeding, brooding, molt, and pairing; and mass at time of capture. Models containing hunt periods, during and outside the mottled duck season, comprised essentially 100% of model weights where both legal and illegal harvest had a negative influence on mottled duck survival. Survival rates were low during 2009–2011 (12–38% annual rate of survival), when compared with the long-term banding average of 53% annual survival. During 2011, survival of female mottled ducks was the lowest annual rate (12%) ever documented and coincided with extreme drought. Management actions maximizing the availability of wetlands and associated upland habitats during hunting seasons and drought conditions may increase adult female mottled duck survival.
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