{"pageNumber":"111","pageRowStart":"2750","pageSize":"25","recordCount":10454,"records":[{"id":70187009,"text":"70187009 - 2017 - The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters","interactions":[],"lastModifiedDate":"2022-01-21T16:27:42.336617","indexId":"70187009","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters","docAbstract":"<p id=\"abspara0010\">The California Seafloor and Coastal Mapping Program (CSCMP) is a collaborative effort to develop comprehensive bathymetric, geologic, and habitat maps and data for California's State Waters. CSCMP began in 2007 when the California Ocean Protection Council (OPC) and the National Oceanic and Atmospheric Administration (NOAA) allocated funding for high-resolution bathymetric mapping, largely to support the California Marine Life Protection Act and to update nautical charts. Collaboration and support from the U.S. Geological Survey and other partners has led to development and dissemination of one of the world's largest seafloor-mapping datasets. CSCMP provides essential science and data for ocean and coastal management, stimulates and enables research, and raises public education and awareness of coastal and ocean issues. Specific applications include:</p><ul>•Delineation and designation of marine protected areas</ul><ul>•Characterization and modeling of benthic habitats and ecosystems</ul><ul>•Updating nautical charts</ul><ul>•Earthquake hazard assessments</ul><ul>•Tsunami hazard assessments</ul><ul>•Planning offshore infrastructure</ul><ul>•Providing baselines for monitoring change</ul><ul>•Input to models of sediment transport, coastal erosion, and coastal flooding</ul><ul>•Regional sediment management</ul><ul>•Understanding coastal aquifers</ul><ul>•Providing geospatial data for emergency response</ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2017.02.004","usgsCitation":"Johnson, S.Y., Cochrane, G.R., Golden, N.E., Dartnell, P., Hartwell, S., Cochran, S.A., and Watt, J., 2017, The California Seafloor and Coastal Mapping Program – Providing science and geospatial data for California's State Waters: Ocean and Coastal Management, v. 140, p. 88-104, https://doi.org/10.1016/j.ocecoaman.2017.02.004.","productDescription":"17 p.","startPage":"88","endPage":"104","ipdsId":"IP-077782","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2017.02.004","text":"Publisher Index Page"},{"id":339933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70186968,"text":"70186968 - 2017 - Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data","interactions":[],"lastModifiedDate":"2017-04-17T13:38:09","indexId":"70186968","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data","docAbstract":"<p><span>Precipitation samples have been collected by the National Atmospheric Deposition Program's (NADP) National Trends Network (NTN) using the Aerochem Metrics Model 301 (ACM) collector since 1978. Approximately one-third of the NTN ACM collectors have been replaced with N-CON Systems, Inc. Model ADS 00-120 (NCON) collectors. Concurrent data were collected over 6&nbsp;years&nbsp;at 12 NTN sites using colocated ACM and NCON collectors in various precipitation regimes. Linear regression models of the colocated data were used to adjust for relative bias between the collectors. Replacement of ACM collectors with NCON collectors resulted in shifts in 10-year seasonal precipitation-weighted mean concentration (PWMC) trend slopes for: cations (−0.001 to&nbsp;−0.007&nbsp;mgL</span><sup>−1</sup><span>yr</span><sup>−1</sup><span>), anions (−0.009 to&nbsp;−0.028&nbsp;mgL</span><sup>−1</sup><span>yr</span><sup>−1</sup><span>), and hydrogen ion (+0.689 meqL-</span><sup>1</sup><span>yr</span><sup>−1</sup><span>). Larger shifts in NO</span><sub>3</sub><sup>−</sup><span> and SO</span><sub>4</sub><sup>−2</sup><span> seasonal PWMC trend slopes were observed in the Midwest and Northeast US, where concentrations are generally higher than in other regions. Geospatial analysis of interpolated concentration rasters indicated regions of accentuated variability introduced by incorporation of NCON collectors into the NTN.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"London","doi":"10.1016/j.envpol.2016.12.036","usgsCitation":"Wetherbee, G.A., 2017, Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data: Environmental Pollution, v. 223, p. 90-101, https://doi.org/10.1016/j.envpol.2016.12.036.","productDescription":"12 p.","startPage":"90","endPage":"101","ipdsId":"IP-076925","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":461635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2016.12.036","text":"Publisher Index 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 \"}}]}\n","volume":"223","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d43ae4b0f2e20545e3fd","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":691257,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186910,"text":"70186910 - 2017 - Community disruptions and business costs for distant tsunami evacuations using maximum versus scenario-based zones","interactions":[],"lastModifiedDate":"2017-04-14T09:27:18","indexId":"70186910","displayToPublicDate":"2017-04-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Community disruptions and business costs for distant tsunami evacuations using maximum versus scenario-based zones","docAbstract":"<p><span>Well-executed evacuations are key to minimizing loss of life from tsunamis, yet they also disrupt communities and business productivity in the process. Most coastal communities implement evacuations based on a previously delineated maximum-inundation zone that integrates zones from multiple tsunami sources. To support consistent evacuation planning that protects lives but attempts to minimize community disruptions, we explore the implications of scenario-based evacuation procedures and use the California (USA) coastline as our case study. We focus on the land in coastal communities that is in maximum-evacuation zones, but is not expected to be flooded by a tsunami generated by a Chilean earthquake scenario. Results suggest that a scenario-based evacuation could greatly reduce the number of residents and employees that would be advised to evacuate for 24–36&nbsp;h (178,646 and 159,271 fewer individuals, respectively) and these reductions are concentrated primarily in three counties for this scenario. Private evacuation spending is estimated to be greater than public expenditures for operating shelters in the area of potential over-evacuations ($13 million compared to $1 million for a 1.5-day evacuation). Short-term disruption costs for businesses in the area of potential over-evacuation are approximately $122 million for a 1.5-day evacuation, with one-third of this cost associated with manufacturing, suggesting that some disruption costs may be recouped over time with increased short-term production. There are many businesses and organizations in this area that contain individuals with limited mobility or access and functional needs that may have substantial evacuation challenges. This study demonstrates and discusses the difficulties of tsunami-evacuation decision-making for relatively small to moderate events faced by emergency managers, not only in California but in coastal communities throughout the world.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-016-2709-y","usgsCitation":"Wood, N.J., Wilson, R.I., Ratliff, J.L., Peters, J., MacMullan, E., Krebs, T., Shoaf, K., and Miller, K., 2017, Community disruptions and business costs for distant tsunami evacuations using maximum versus scenario-based zones: Natural Hazards, v. 86, no. 2, p. 619-643, https://doi.org/10.1007/s11069-016-2709-y.","productDescription":"25 p.","startPage":"619","endPage":"643","ipdsId":"IP-076947","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469922,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s11069-016-2709-y","text":"External Repository"},{"id":339725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"58f1e0c8e4b08144348b7de9","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":690972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Rick I.","contributorId":56138,"corporation":false,"usgs":false,"family":"Wilson","given":"Rick","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":690973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ratliff, Jamie L. 0000-0002-9967-3314 jratliff@usgs.gov","orcid":"https://orcid.org/0000-0002-9967-3314","contributorId":665,"corporation":false,"usgs":true,"family":"Ratliff","given":"Jamie","email":"jratliff@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":690974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Jeff 0000-0003-4312-0590 jpeters@usgs.gov","orcid":"https://orcid.org/0000-0003-4312-0590","contributorId":4711,"corporation":false,"usgs":true,"family":"Peters","given":"Jeff","email":"jpeters@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":690975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacMullan, Ed","contributorId":190879,"corporation":false,"usgs":false,"family":"MacMullan","given":"Ed","email":"","affiliations":[],"preferred":false,"id":690976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krebs, Tessa","contributorId":190880,"corporation":false,"usgs":false,"family":"Krebs","given":"Tessa","email":"","affiliations":[],"preferred":false,"id":690977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shoaf, Kimberley","contributorId":190881,"corporation":false,"usgs":false,"family":"Shoaf","given":"Kimberley","email":"","affiliations":[],"preferred":false,"id":690978,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Kevin","contributorId":178815,"corporation":false,"usgs":false,"family":"Miller","given":"Kevin","affiliations":[],"preferred":false,"id":690979,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70186907,"text":"70186907 - 2017 - Benefits of the destinations, not costs of the journeys, shape partial migration patterns","interactions":[],"lastModifiedDate":"2017-06-14T11:48:54","indexId":"70186907","displayToPublicDate":"2017-04-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Benefits of the destinations, not costs of the journeys, shape partial migration patterns","docAbstract":"<p>1. The reasons that lead some animals to seasonally migrate, and others to remain in the same area year-round, are poorly understood. Associations between traits, such as body size, and migration provide clues. For example, larger species and individuals are more likely to migrate.</p><p>2. One explanation for this size bias in migration is that larger animals are capable of moving faster (movement hypothesis). However, body size is linked to many other biological processes. For instance, the energetic balances of larger animals are generally more sensitive to variation in food density because of body size effects on foraging and metabolism and this sensitivity could drive migratory decisions (forage hypothesis).</p><p>3. Identifying the primary selective forces that drive migration ultimately requires quantifying fitness impacts over the full annual migratory cycle. Here, we develop a full annual migratory cycle model from metabolic and foraging theory to compare the importance of the forage and movement hypotheses. We parameterize the model for Galapagos tortoises, which were recently discovered to be size-dependent altitudinal migrants.</p><p>4. The model predicts phenomena not included in model development including maximum body sizes, the body size at which individuals begin to migrate, and the seasonal timing of migration and these predictions generally agree with available data. Scenarios strongly support the forage hypothesis over the movement hypothesis. Furthermore, male Galapagos tortoises on Santa Cruz Island would be unable to grow to their enormous sizes without access to both highlands and lowlands.</p><p>5. Whereas recent research has focused on links between traits and the migratory phases of the migratory cycle, we find that effects of body size on the non-migratory phases are far more important determinants of the propensity to migrate. Larger animals are more sensitive to changing forage conditions than smaller animals with implications for maintenance of migration and body size in the face of environmental change.</p>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.12679","usgsCitation":"Yackulic, C.B., Blake, S., and Bastille-Rousseau, G., 2017, Benefits of the destinations, not costs of the journeys, shape partial migration patterns: Journal of Animal Ecology, v. 86, no. 4, p. 972-982, https://doi.org/10.1111/1365-2656.12679.","productDescription":"11 p.","startPage":"972","endPage":"982","ipdsId":"IP-065801","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469927,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12679","text":"Publisher Index Page"},{"id":438374,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154F7P","text":"USGS data release","linkHelpText":"Full Annual Cycle Bioenergetics model of migration applied to Galapagos tortoisesData"},{"id":339709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"58f08e5ce4b06911a29fa836","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":690957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blake, Stephen","contributorId":65339,"corporation":false,"usgs":false,"family":"Blake","given":"Stephen","email":"","affiliations":[{"id":30787,"text":"Saint Louis University","active":true,"usgs":false},{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":690958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastille-Rousseau, Guillaume 0000-0001-6799-639X","orcid":"https://orcid.org/0000-0001-6799-639X","contributorId":190877,"corporation":false,"usgs":false,"family":"Bastille-Rousseau","given":"Guillaume","email":"","affiliations":[{"id":40724,"text":"Cooperative Wildlife Research Laboratory and Department of Forestry, Southern Illinois University, 251 Life Science II, Mail Code 6504, Carbondale, Illinois 62901 USA","active":true,"usgs":false}],"preferred":false,"id":690959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186880,"text":"70186880 - 2017 - Quantifying the demographic cost of human-related mortality to a raptor population","interactions":[],"lastModifiedDate":"2017-11-22T16:58:07","indexId":"70186880","displayToPublicDate":"2017-04-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the demographic cost of human-related mortality to a raptor population","docAbstract":"<p>Raptors are exposed to a wide variety of human-related mortality agents, and yet population-level effects are rarely quantified. Doing so requires modeling vital rates in the context of species life-history, behavior, and population dynamics theory. In this paper, we explore the details of such an analysis by focusing on the demography of a resident, tree-nesting population of golden eagles (<i>Aquila chrysaetos</i>) in the vicinity of an extensive (142 km<sup>2</sup>) windfarm in California. During 1994–2000, we tracked the fates of &gt;250 radio-marked individuals of four life-stages and conducted five annual surveys of territory occupancy and reproduction. Collisions with wind turbines accounted for 41% of 88 uncensored fatalities, most of which were subadults and nonbreeding adults (floaters). A consistent overall male preponderance in the population meant that females were the limiting sex in this territorial, monogamous species. Estimates of potential population growth rate and associated variance indicated a stable breeding population, but one for which any further decrease in vital rates would require immigrant floaters to fill territory vacancies. Occupancy surveys 5 and 13 years later (2005 and 2013) showed that the nesting population remained intact, and no upward trend was apparent in the proportion of subadult eagles as pair members, a condition that would have suggested a deficit of adult replacements. However, the number of golden eagle pairs required to support windfarm mortality was large. We estimated that the entire annual reproductive output of 216–255 breeding pairs would have been necessary to support published estimates of 55–65 turbine blade-strike fatalities per year. Although the vital rates forming the basis for these calculations may have changed since the data were collected, our approach should be useful for gaining a clearer understanding of how anthropogenic mortality affects the health of raptor populations, particularly those species with delayed maturity and naturally low reproductive rates.</p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0172232","usgsCitation":"Hunt, W.G., Wiens, D., Law, P.R., Fuller, M.R., Hunt, T.L., Driscoll, D.E., and Jackman, R.E., 2017, Quantifying the demographic cost of human-related mortality to a raptor population: PLoS ONE, v. 12, no. 2, e0172232; 22 p., https://doi.org/10.1371/journal.pone.0172232.","productDescription":"e0172232; 22 p.","ipdsId":"IP-077853","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0172232","text":"Publisher Index Page"},{"id":339649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-24","publicationStatus":"PW","scienceBaseUri":"58ef3da4e4b0eed1ab8e3bc2","contributors":{"authors":[{"text":"Hunt, W. Grainger","contributorId":139544,"corporation":false,"usgs":false,"family":"Hunt","given":"W.","email":"","middleInitial":"Grainger","affiliations":[{"id":12795,"text":"The Peregrine Fund, Inc.","active":true,"usgs":false}],"preferred":false,"id":690799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiens, David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":167538,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":690800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Law, Peter R.","contributorId":190824,"corporation":false,"usgs":false,"family":"Law","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":690801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","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":690798,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Teresa L.","contributorId":190825,"corporation":false,"usgs":false,"family":"Hunt","given":"Teresa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":690802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Driscoll, Daniel E.","contributorId":190826,"corporation":false,"usgs":false,"family":"Driscoll","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackman, Ronald E.","contributorId":190827,"corporation":false,"usgs":false,"family":"Jackman","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690804,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70184959,"text":"70184959 - 2017 - The growth of sport shooting participation: What does this trend mean for conservation revenue?","interactions":[],"lastModifiedDate":"2017-04-10T09:30:49","indexId":"70184959","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"The growth of sport shooting participation: What does this trend mean for conservation revenue?","docAbstract":"<p>Enacted in 1937, the Federal Aid in Wildlife Restoration Act – more commonly known as the Pittman-Robertson Act – is one of the oldest and most reliable sources of funding for wildlife conservation in the United States. The result of organized support form sportsmen, fish and wildlife agencies, firearms manufacturers, conservation organizations, and even garden clubs, the PR Act created an excise tax on so-called “long guns” and ammunition used by hunters, thereby establishing the first sustainable source of revenue dedicated to conservation and land management efforts throughout the country. Later, legislators amended the PR Act to include an excise tax on pistols, revolvers, bows, arrows, and other archery equipment.</p>","language":"English","publisher":"The Wildlife Society","publisherLocation":"Lawrence, KS","usgsCitation":"Duda, M.D., Beppler, T., and Organ, J.F., 2017, The growth of sport shooting participation: What does this trend mean for conservation revenue?: The Wildlife Professional, v. 11, no. 2, p. 38-41.","productDescription":"4 p.","startPage":"38","endPage":"41","ipdsId":"IP-076773","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":339494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ebadabe4b0b4d95d320095","contributors":{"authors":[{"text":"Duda, Mark D.","contributorId":189048,"corporation":false,"usgs":false,"family":"Duda","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":690460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beppler, Tom","contributorId":189049,"corporation":false,"usgs":false,"family":"Beppler","given":"Tom","email":"","affiliations":[],"preferred":false,"id":683706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":683704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186755,"text":"70186755 - 2017 - Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry","interactions":[],"lastModifiedDate":"2017-04-11T09:58:46","indexId":"70186755","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry","docAbstract":"<p><span>Coral skeletons are valuable archives of past ocean conditions. However, interpretation of coral paleotemperature records is confounded by uncertainties associated with single-element ratio thermometers, including Sr/Ca. A new approach, Sr-U, uses U/Ca to constrain the influence of Rayleigh fractionation on Sr/Ca. Here we build on the initial Pacific </span><i>Porites</i><span> Sr-U calibration to include multiple Atlantic and Pacific coral genera from multiple coral reef locations spanning a temperature range of 23.15–30.12°C. Accounting for the wintertime growth cessation of one Bermuda coral, we show that Sr-U is strongly correlated with the average water temperature at each location (</span><i>r</i><sup>2</sup><span> = 0.91, </span><i>P</i><span> &lt; 0.001, </span><i>n</i><span> = 19). We applied the multispecies spatial calibration between Sr-U and temperature to reconstruct a 96 year long temperature record at Mona Island, Puerto Rico, using a coral not included in the calibration. Average Sr-U derived temperature for the period 1900–1996 is within 0.12°C of the average instrumental temperature at this site and captures the twentieth century warming trend of 0.06°C per decade. Sr-U also captures the timing of multiyear variability but with higher amplitude than implied by the instrumental data. Mean Sr-U temperatures and patterns of multiyear variability were replicated in a second coral in the same grid box. Conversely, Sr/Ca records from the same two corals were inconsistent with each other and failed to capture absolute sea temperatures, timing of multiyear variability, or the twentieth century warming trend. Our results suggest that coral Sr-U paleothermometry is a promising new tool for reconstruction of past ocean temperatures.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2016PA002976","usgsCitation":"Alpert, A.E., Cohen, A.L., Oppo, D.W., DeCarlo, T.M., Gaetani, G.A., Hernandez-Delgado, E.A., Winter, A., and Gonneea Eagle, M., 2017, Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry: Paleoceanography, v. 32, no. 2, p. 146-160, https://doi.org/10.1002/2016PA002976.","productDescription":"15 p.","startPage":"146","endPage":"160","ipdsId":"IP-079454","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016pa002976","text":"Publisher Index Page"},{"id":339514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Mona Island","volume":"32","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-16","publicationStatus":"PW","scienceBaseUri":"58ec99d9e4b0b4d95d335259","contributors":{"authors":[{"text":"Alpert, Alice E.","contributorId":190715,"corporation":false,"usgs":false,"family":"Alpert","given":"Alice","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Anne L.","contributorId":190716,"corporation":false,"usgs":false,"family":"Cohen","given":"Anne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":690472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oppo, Delia W.","contributorId":190717,"corporation":false,"usgs":false,"family":"Oppo","given":"Delia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":690473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCarlo, Thomas M.","contributorId":190720,"corporation":false,"usgs":false,"family":"DeCarlo","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaetani, Glenn A.","contributorId":190718,"corporation":false,"usgs":false,"family":"Gaetani","given":"Glenn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernandez-Delgado, Edwin A.","contributorId":190719,"corporation":false,"usgs":false,"family":"Hernandez-Delgado","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winter, Amos","contributorId":72271,"corporation":false,"usgs":false,"family":"Winter","given":"Amos","email":"","affiliations":[],"preferred":false,"id":690477,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690470,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70186648,"text":"70186648 - 2017 - Nocturnal arboreality in snakes in the swamplands of the Atchafalaya Basin of south-central Louisiana and Big Thicket National Preserve of Southeast Texas","interactions":[],"lastModifiedDate":"2017-04-12T09:38:56","indexId":"70186648","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3895,"text":"Journal of North American Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Nocturnal arboreality in snakes in the swamplands of the Atchafalaya Basin of south-central Louisiana and Big Thicket National Preserve of Southeast Texas","docAbstract":"<p>The southeastern United States is home to a diverse assemblage of snakes, but only one species, the Rough Greensnake (<i>Opheodrys aestivus</i>), is considered specialized for a predominantly arboreal lifestyle. Other species, such as Ratsnakes (genus <i>Pantherophis</i>) and Ribbonsnakes/Gartersnakes (genus <i>Thamnophis</i>), are widely known to climb into vegetation and trees. Some explanations given for snake climbing behavior are foraging, thermoregulation, predator avoidance, and response to flood. Reports of arboreality in snake species typically not associated with life in the trees (such as terrestrial, aquatic, and even fossorial species) usually come from single observations, with no knowledge of prevalence of the behavior. Here, we report on arboreality of snake species detected during 8 years of night surveys in the Atchafalaya Basin of south-central Louisiana and 5+ years of night surveys in Big Thicket National Preserve in southeast Texas. We recorded a total of 1,088 detections of 19 snake species between the two study areas, with 348 detections above ground level (32%). The Rough Greensnake and Western Ribbonsnake (<i>Thamnophis proximus</i>) accounted for nearly 75% of total arboreal detections among the two study areas. However, with one exception, all snake species detected more than once between both study areas had at least one arboreal detection. These observations demonstrate that snakes with widely varying natural histories may be found in the trees at night, and for some species, this behavior may be more common than previously believed.</p>","language":"English","publisher":"The Center for North American Herpetology","issn":"2333-0694","usgsCitation":"Glorioso, B.M., and Waddle, J., 2017, Nocturnal arboreality in snakes in the swamplands of the Atchafalaya Basin of south-central Louisiana and Big Thicket National Preserve of Southeast Texas: Journal of North American Herpetology, v. 2017, no. 1, p. 11-18.","productDescription":"8 p.","startPage":"11","endPage":"18","ipdsId":"IP-071658","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":339379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339346,"type":{"id":15,"text":"Index Page"},"url":"https://www.cnah.org/herpLit.aspx"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Atchafalaya Basin, Big Thicket National Preserve","volume":"2017","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753e9e4b09da6799c0c47","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":690148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":168952,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":690149,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186660,"text":"70186660 - 2017 - Terrestrial subaqueous seafloor dunes: Possible analogs for Venus","interactions":[],"lastModifiedDate":"2017-06-20T13:19:14","indexId":"70186660","displayToPublicDate":"2017-04-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial subaqueous seafloor dunes: Possible analogs for Venus","docAbstract":"<p><span>Dunes on Venus, first discovered with Magellan Synthetic Aperture Radar (SAR) in the early 1990s, have fueled discussions about the viability of Venusian dunes and aeolian grain transport. Confined to two locations on Venus, the existence of the interpreted dunes provides evidence that there could be transportable material being mobilized into aeolian bedforms at the surface. However, because of the high-pressure high-temperature surface conditions, laboratory analog studies are difficult to conduct and results are difficult to extrapolate to full-sized, aeolian bedforms. Field sites of desert dunes, which are well-studied on Earth and Mars, are not analogous to what is observed on Venus because of the differences in the fluid environments. One potentially underexplored possibility in planetary science for Venus-analog dune fields could be subaqueous, seafloor dune fields on Earth. Known to the marine geology communities since the early 1960s, seafloor dunes are rarely cited in planetary aeolian bedform literature, but could provide a necessary thick-atmosphere extension to the classically studied aeolian dune environment literature for thinner atmospheres. Through discussion of the similarity of the two environments, and examples of dunes and ripples cited in marine literature, we provide evidence that subaqueous seafloor dunes could serve as analogs for dunes on Venus. Furthermore, the evidence presented here demonstrates the usefulness of the marine literature for thick-atmosphere planetary environments and potentially for upcoming habitable worlds and oceanic environment research program opportunities. Such useful cross-disciplinary discussion of dune environments is applicable to many planetary environments (Earth, Mars, Venus, Titan, etc.) and potential future missions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2017.03.002","usgsCitation":"Neakrase, L., Klose, M., and Titus, T.N., 2017, Terrestrial subaqueous seafloor dunes: Possible analogs for Venus: Aeolian Research, v. 26, p. 47-56, https://doi.org/10.1016/j.aeolia.2017.03.002.","productDescription":"10 p.","startPage":"47","endPage":"56","ipdsId":"IP-074225","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":339378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Venus","volume":"26","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753e6e4b09da6799c0c45","contributors":{"authors":[{"text":"Neakrase, Lynn","contributorId":190649,"corporation":false,"usgs":false,"family":"Neakrase","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":690191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klose, Martina","contributorId":190662,"corporation":false,"usgs":false,"family":"Klose","given":"Martina","email":"","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":690190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":690244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186586,"text":"70186586 - 2017 - Quantifying habitat benefits of channel reconfigurations on a highly regulated river system, Lower Missouri River, USA","interactions":[],"lastModifiedDate":"2017-04-05T15:45:36","indexId":"70186586","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying habitat benefits of channel reconfigurations on a highly regulated river system, Lower Missouri River, USA","docAbstract":"<p><span>We present a quantitative analysis of habitat availability in a highly regulated lowland river, comparing a restored reach with two reference reaches: an un-restored, channelized reach, and a least-altered reach. We evaluate the effects of channel modifications in terms of distributions of depth and velocity as well as distributions and availability of habitats thought to be supportive of an endangered fish, the pallid sturgeon (</span><i>Scaphirhynchus albus</i><span>). It has been hypothesized that hydraulic conditions that support food production and foraging may limit growth and survival of juvenile pallid sturgeon. To evaluate conditions that support these habitats, we constructed two-dimensional hydrodynamic models for the three study reaches, two located in the Lower Missouri River (channelized and restored reaches) and one in the Yellowstone River (least-altered reach). Comparability among the reaches was improved by scaling by bankfull discharge and bankfull channel area. The analysis shows that construction of side-channel chutes and increased floodplain connectivity increase the availability of foraging habitat, resulting in a system that is more similar to the reference reach on the Yellowstone River. The availability of food-producing habitat is low in all reaches at flows less than bankfull, but the two reaches in the Lower Missouri River – channelized and restored – display a threshold-like response as flows overtop channel banks, reflecting the persistent effects of channelization on hydraulics in the main channel. These high lateral gradients result in punctuated ecological events corresponding to flows in excess of bankfull discharge. This threshold effect in the restored reach remains distinct from that of the least-altered reference reach, where hydraulic changes are less abrupt and overbank flows more gradually inundate the adjacent floodplain. The habitat curves observed in the reference reach on the Yellowstone River may not be attainable within the channelized system on the Missouri River, but the documented hydraulic patterns can be used to inform ongoing channel modifications. Although scaling to bankfull dimensions and discharges provides a basis for comparing the three reaches, implementation of the reference reach concept was complicated by differences in flow-frequency distributions among sites. In particular, habitat availability in the least-altered Yellowstone River reach is affected by increased frequency of low-flow events (less than 0.5 times bankfull flow) and moderately high-flow events (greater than 1.5 times bankfull flow) compared to downstream reaches on the Lower Missouri River.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2017.03.004","usgsCitation":"Erwin, S.O., Jacobson, R.B., and Elliott, C.M., 2017, Quantifying habitat benefits of channel reconfigurations on a highly regulated river system, Lower Missouri River, USA: Ecological Engineering, v. 103, no. Part A, p. 59-75, https://doi.org/10.1016/j.ecoleng.2017.03.004.","productDescription":"17 p.","startPage":"59","endPage":"75","ipdsId":"IP-083466","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":461643,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2017.03.004","text":"Publisher Index Page"},{"id":438384,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TB154R","text":"USGS data release","linkHelpText":"Quantifying habitat benefits of channel reconfigurations on a highly regulated river system, Lower Missouri River, USA-Data"},{"id":339261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Missouri River","volume":"103","issue":"Part A","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e6026be4b09da6799ac66d","contributors":{"authors":[{"text":"Erwin, Susannah O. 0000-0002-2799-0118 serwin@usgs.gov","orcid":"https://orcid.org/0000-0002-2799-0118","contributorId":5183,"corporation":false,"usgs":true,"family":"Erwin","given":"Susannah","email":"serwin@usgs.gov","middleInitial":"O.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":689657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":689658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":689659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186577,"text":"70186577 - 2017 - Seismic displacement of gently-sloping coastal and marine sediment under multidirectional earthquake loading","interactions":[],"lastModifiedDate":"2017-09-18T15:44:26","indexId":"70186577","displayToPublicDate":"2017-04-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Seismic displacement of gently-sloping coastal and marine sediment under multidirectional earthquake loading","docAbstract":"<p><span>Gentle sediment-laden slopes are typical of the onshore coastal zone and offshore continental shelf and slope. Coastal sediment are commonly young weakly consolidated materials that are well stratified, have low strength, and can mobilize shear displacements at low levels of stress. Seismically-driven plastic displacements of these sediment pose a hazard to coastal cities, buried onshore utilities, and offshore infrastructure like harbor protection and outfalls. One-dimensional rigid downslope-directed Newmark sliding block analyses have been used to predict earthquake deformations generally on steeper slopes that are modeled as frictional materials. This study probes the effect of multidirectional earthquake motions on inertial displacements of gently sloping ground of the coastal and offshore condition where soft-compliant soil is expected. Toward that objective, this investigation seeks to understand the effect on Newmark-type displacements of [1] multidirectional earthquake shaking and [2] soil compliance. In order to model multidirectional effects, the earthquake motions are rotated into the local slope strike- and dip-components. On gently sloping ground, including the strike component of motion always results in a larger and more accurate shear stress vector. Strike motions are found to contribute to downslope deformations on any declivity. Compliant response of the soil mass also influences the plastic displacements. The magnitude of seismic displacements can be estimated with a simplified model using only the estimated soil yield-acceleration (</span><i>k</i><sub><i>y</i></sub><span>) and the peak ground velocity (</span><i>V</i><sub><i>max</i></sub><span>) of the earthquake motions. Compliance effects can be effectively mapped using the concept of Plastic Displacement Response Spectra (PDRS).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2016.12.009","usgsCitation":"Kayen, R.E., 2017, Seismic displacement of gently-sloping coastal and marine sediment under multidirectional earthquake loading: Engineering Geology, v. 227, p. 84-92, https://doi.org/10.1016/j.enggeo.2016.12.009.","productDescription":"9 p.","startPage":"84","endPage":"92","ipdsId":"IP-081076","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469943,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2016.12.009","text":"Publisher Index Page"},{"id":339263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"227","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e6026ce4b09da6799ac671","chorus":{"doi":"10.1016/j.enggeo.2016.12.009","url":"http://dx.doi.org/10.1016/j.enggeo.2016.12.009","publisher":"Elsevier BV","authors":"Kayen Robert","journalName":"Engineering Geology","publicationDate":"12/2016"},"contributors":{"authors":[{"text":"Kayen, Robert E. 0000-0002-0356-072X rkayen@usgs.gov","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":140764,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","email":"rkayen@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":689637,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186387,"text":"70186387 - 2017 - Test of a non-physical barrier consisting of light, sound, and bubble screen to block upstream movement of sea lamprey in an experimental raceway","interactions":[],"lastModifiedDate":"2017-08-15T12:15:49","indexId":"70186387","displayToPublicDate":"2017-04-04T00:00:00","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":"Test of a non-physical barrier consisting of light, sound, and bubble screen to block upstream movement of sea lamprey in an experimental raceway","docAbstract":"<p><span>Control of the invasive Sea Lamprey&nbsp;</span><i>Petromyzon marinus</i><span><span>&nbsp;</span>is critical for management of commercial and recreational fisheries in the Laurentian Great Lakes. Use of physical barriers to block Sea Lampreys from spawning habitat is a major component of the control program. However, the resulting interruption of natural streamflow and blockage of nontarget species present substantial challenges. Development of an effective nonphysical barrier would aid the control of Sea Lampreys by eliminating their access to spawning locations while maintaining natural streamflow. We tested the effect of a nonphysical barrier consisting of strobe lights, low-frequency sound, and a bubble screen on the movement of Sea Lampreys in an experimental raceway designed as a two-choice maze with a single main channel fed by two identical inflow channels (one control and one blocked). Sea Lampreys were more likely to move upstream during trials when the strobe light and low-frequency sound were active compared with control trials and trials using the bubble screen alone. For those Sea Lampreys that did move upstream to the confluence of inflow channels, no combination of stimuli or any individual stimulus significantly influenced the likelihood that Sea Lampreys would enter the blocked inflow channel, enter the control channel, or return downstream.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1308892","usgsCitation":"Miehls, S.M., Johnson, N., and Hrodey, P., 2017, Test of a non-physical barrier consisting of light, sound, and bubble screen to block upstream movement of sea lamprey in an experimental raceway: North American Journal of Fisheries Management, v. 37, no. 3, p. 660-666, https://doi.org/10.1080/02755947.2017.1308892.","productDescription":"7 p.","startPage":"660","endPage":"666","ipdsId":"IP-080848","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469950,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Test_of_a_Nonphysical_Barrier_Consisting_of_Light_Sound_and_Bubble_Screen_to_Block_Upstream_Movement_of_Sea_Lampreys_in_an_Experimental_Raceway/4974935","text":"External Repository"},{"id":339138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"58e4b0afe4b09da679997768","contributors":{"authors":[{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. njohnson@usgs.gov","contributorId":145449,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":688424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrodey, Pete J.","contributorId":190436,"corporation":false,"usgs":false,"family":"Hrodey","given":"Pete J.","affiliations":[],"preferred":false,"id":688425,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194199,"text":"70194199 - 2017 - Tree mortality across biomes is promoted by drought intensity, lower wood density and higher specific leaf area","interactions":[],"lastModifiedDate":"2018-01-12T15:20:13","indexId":"70194199","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Tree mortality across biomes is promoted by drought intensity, lower wood density and higher specific leaf area","docAbstract":"<p><span>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</span><sup>−1</sup><span>&nbsp;year</span><sup>−1</sup><span>) increased 0.46 (95% CI&nbsp;=&nbsp;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.</span></p>","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":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":70187329,"text":"70187329 - 2017 - A software tool to assess uncertainty in transient-storage model parameters using Monte Carlo simulations","interactions":[],"lastModifiedDate":"2017-04-28T15:43:43","indexId":"70187329","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A software tool to assess uncertainty in transient-storage model parameters using Monte Carlo simulations","docAbstract":"<p><span>Researchers and practitioners alike often need to understand and characterize how water and solutes move through a stream in terms of the relative importance of in-stream and near-stream storage and transport processes. In-channel and subsurface storage processes are highly variable in space and time and difficult to measure. Storage estimates are commonly obtained using transient-storage models (TSMs) of the experimentally obtained solute-tracer test data. The TSM equations represent key transport and storage processes with a suite of numerical parameters. Parameter values are estimated via inverse modeling, in which parameter values are iteratively changed until model simulations closely match observed solute-tracer data. Several investigators have shown that TSM parameter estimates can be highly uncertain. When this is the case, parameter values cannot be used reliably to interpret stream-reach functioning. However, authors of most TSM studies do not evaluate or report parameter certainty. Here, we present a software tool linked to the One-dimensional Transport with Inflow and Storage (OTIS) model that enables researchers to conduct uncertainty analyses via Monte-Carlo parameter sampling and to visualize uncertainty and sensitivity results. We demonstrate application of our tool to 2 case studies and compare our results to output obtained from more traditional implementation of the OTIS model. We conclude by suggesting best practices for transient-storage modeling and recommend that future applications of TSMs include assessments of parameter certainty to support comparisons and more reliable interpretations of transport processes.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/690444","usgsCitation":"Ward, A.S., Kelleher, C.A., Mason, S.J., Wagener, T., McIntyre, N., McGlynn, B.L., Runkel, R.L., and Payn, R.A., 2017, A software tool to assess uncertainty in transient-storage model parameters using Monte Carlo simulations: Freshwater Science, v. 36, no. 1, p. 195-217, https://doi.org/10.1086/690444.","productDescription":"23 p.","startPage":"195","endPage":"217","ipdsId":"IP-074821","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":461661,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/2ec1a71e-046a-4faa-ad85-2f323af51119","text":"External Repository"},{"id":340632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a1e4b022cee40dc222","contributors":{"authors":[{"text":"Ward, Adam S.","contributorId":11508,"corporation":false,"usgs":true,"family":"Ward","given":"Adam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelleher, Christa A.","contributorId":46417,"corporation":false,"usgs":true,"family":"Kelleher","given":"Christa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, Seth J. K.","contributorId":191535,"corporation":false,"usgs":false,"family":"Mason","given":"Seth","email":"","middleInitial":"J. K.","affiliations":[],"preferred":false,"id":693395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagener, Thorsten","contributorId":176323,"corporation":false,"usgs":false,"family":"Wagener","given":"Thorsten","email":"","affiliations":[],"preferred":false,"id":693396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIntyre, Neil","contributorId":191602,"corporation":false,"usgs":false,"family":"McIntyre","given":"Neil","email":"","affiliations":[],"preferred":false,"id":693397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGlynn, Brian L.","contributorId":83012,"corporation":false,"usgs":true,"family":"McGlynn","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693392,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Payn, Robert A.","contributorId":36461,"corporation":false,"usgs":true,"family":"Payn","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693399,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"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":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false},{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","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":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":"<p><span>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 (</span><i>Bellamya chinensis</i><span>) 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<span>&nbsp;</span></span><i>B</i><span>.<span>&nbsp;</span></span><i>chinensis</i><span>, 2) how<span>&nbsp;</span></span><i>B</i><span>.<span>&nbsp;</span></span><i>chinensis</i><span>alters 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.</span></p>","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":70187202,"text":"70187202 - 2017 - Mitigating future avian malaria threats to Hawaiian forest birds from climate change","interactions":[],"lastModifiedDate":"2017-04-26T13:12:50","indexId":"70187202","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mitigating future avian malaria threats to Hawaiian forest birds from climate change","docAbstract":"<p><span>Avian malaria, transmitted by </span><i>Culex quinquefasciatus</i><span> mosquitoes in the Hawaiian Islands, has been a primary contributor to population range limitations, declines, and extinctions for many endemic Hawaiian honeycreepers. Avian malaria is strongly influenced by climate; therefore, predicted future changes are expected to expand transmission into higher elevations and intensify and lengthen existing transmission periods at lower elevations, leading to further population declines and potential extinction of highly susceptible honeycreepers in mid- and high-elevation forests. Based on future climate changes and resulting malaria risk, we evaluated the viability of alternative conservation strategies to preserve endemic Hawaiian birds at mid and high elevations through the 21</span><sup>st</sup><span> century. We linked an epidemiological model with three alternative climatic projections from the Coupled Model Intercomparison Project to predict future malaria risk and bird population dynamics for the coming century. Based on climate change predictions, proposed strategies included mosquito population suppression using modified males, release of genetically modified refractory mosquitoes, competition from other introduced mosquitoes that are not competent vectors, evolved malaria-tolerance in native honeycreepers, feral pig control to reduce mosquito larval habitats, and predator control to improve bird demographics. Transmission rates of malaria are predicted to be higher than currently observed and are likely to have larger impacts in high-elevation forests where current low rates of transmission create a refuge for highly-susceptible birds. As a result, several current and proposed conservation strategies will be insufficient to maintain existing forest bird populations. We concluded that mitigating malaria transmission at high elevations should be a primary conservation goal. Conservation strategies that maintain highly susceptible species like Iiwi (</span><i>Drepanis coccinea</i><span>) will likely benefit other threatened and endangered Hawai’i species, especially in high-elevation forests. Our results showed that mosquito control strategies offer potential long-term benefits to high elevation Hawaiian honeycreepers. However, combined strategies will likely be needed to preserve endemic birds at mid elevations. Given the delay required to research, develop, evaluate, and improve several of these currently untested conservation strategies we suggest that planning should begin expeditiously.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0168880","usgsCitation":"Liao, W., Atkinson, C.T., LaPointe, D., and Samuel, M.D., 2017, Mitigating future avian malaria threats to Hawaiian forest birds from climate change: PLoS ONE, v. 12, no. 1, p. 1-25, https://doi.org/10.1371/journal.pone.0168880.","productDescription":"e0168880; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-075370","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469962,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0168880","text":"Publisher Index Page"},{"id":340462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"5901b1b9e4b0c2e071a99b90","contributors":{"authors":[{"text":"Liao, Wei","contributorId":147740,"corporation":false,"usgs":false,"family":"Liao","given":"Wei","email":"","affiliations":[{"id":13018,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":693050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":693051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPointe, Dennis dlapointe@usgs.gov","contributorId":2926,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":693052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":"<p><span>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.</span></p>","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":33852,"text":"Univ of Maryland, College Park, MD","active":true,"usgs":false},{"id":13566,"text":"Joint Global Change Research Institute, Pacific Northwest National Laboratory","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":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":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":70193334,"text":"70193334 - 2017 - The 3.6 ka Aniakchak tephra in the Arctic Ocean: A constraint on the Holocene radiocarbon reservoir age in the Chukchi Sea ","interactions":[],"lastModifiedDate":"2017-10-31T15:52:26","indexId":"70193334","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"The 3.6 ka Aniakchak tephra in the Arctic Ocean: A constraint on the Holocene radiocarbon reservoir age in the Chukchi Sea ","docAbstract":"<p><span class=\"pb_abstract\">The caldera-forming eruption of the Aniakchak volcano in the Aleutian Range on the Alaskan Peninsula at 3.6 cal kyr BP was one of the largest Holocene eruptions worldwide. The resulting ash is found as a visible sediment layer in several Alaskan sites and as a cryptotephra on Newfoundland and Greenland. This large geographic distribution, combined with the fact that the eruption is relatively well constrained in time using radiocarbon dating of lake sediments and annual layer counts in ice cores, makes it an excellent stratigraphic marker for dating and correlating mid–late Holocene sediment and paleoclimate records. This study presents the outcome of a targeted search for the Aniakchak tephra in a marine sediment core from the Arctic Ocean, namely Core SWERUS-L2-2-PC1 (2PC), raised from 57 m water depth in Herald Canyon, western Chukchi Sea. High concentrations of tephra shards, with a geochemical signature matching that of Aniakchak ash, were observed across a more than 1.5 m long sediment sequence. Since the primary input of volcanic ash is through atmospheric transport, and assuming that bioturbation can account for mixing up to ca. 10 cm of the marine sediment deposited at the coring site, the broad signal is interpreted as sustained reworking at the sediment source input. The isochron is therefore placed at the base of the sudden increase in tephra concentrations rather than at the maximum concentration. This interpretation of major reworking is strengthened by analysis of grain size distribution which points to ice rafting as an important secondary transport mechanism of volcanic ash. Combined with radiocarbon dates on mollusks in the same sediment core, the volcanic marker is used to calculate a marine radiocarbon reservoir age offset Δ<i>R</i> = 477 ± 60&nbsp;years. This relatively high value may be explained by the major influence of typically \"carbon-old\" Pacific waters, and it agrees well with recent estimates of Δ<i>R</i> along the northwest Alaskan coast, possibly indicating stable oceanographic conditions during the second half of the Holocene. Our use of a volcanic absolute age marker to obtain the marine reservoir age offset is the first of its kind in the Arctic Ocean and provides an important framework for improving chronologies and correlating marine sediment archives in this region. Core 2PC has a high sediment accumulation rate averaging 200 cm kyr throughout the last 4000&nbsp;years, and the chronology presented here provides a solid base for high-resolution reconstructions of late Holocene climate and ocean variability in the Chukchi Sea.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-13-303-2017","usgsCitation":"Pearce, C., Varhelyi, A., Wastegard, S., Muschitiello, F., Barrientos Macho, N., O’Regan, M., Cronin, T.M., Gemery, L., Semiletov, I., Backman, J., and Jakobsson, M., 2017, The 3.6 ka Aniakchak tephra in the Arctic Ocean: A constraint on the Holocene radiocarbon reservoir age in the Chukchi Sea : Climate of the Past, v. 13, p. 303-316, https://doi.org/10.5194/cp-13-303-2017.","productDescription":"14 p.","startPage":"303","endPage":"316","ipdsId":"IP-081754","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469959,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-13-303-2017","text":"Publisher Index Page"},{"id":347928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Chukchi Sea","volume":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-05","publicationStatus":"PW","scienceBaseUri":"59f98bb8e4b0531197af9ff7","contributors":{"authors":[{"text":"Pearce, Christof","contributorId":197126,"corporation":false,"usgs":false,"family":"Pearce","given":"Christof","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":718726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varhelyi, Aron","contributorId":199345,"corporation":false,"usgs":false,"family":"Varhelyi","given":"Aron","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":718727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wastegard, Stefan","contributorId":199346,"corporation":false,"usgs":false,"family":"Wastegard","given":"Stefan","email":"","affiliations":[{"id":25546,"text":"Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":718728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muschitiello, Francesco","contributorId":199347,"corporation":false,"usgs":false,"family":"Muschitiello","given":"Francesco","email":"","affiliations":[{"id":25546,"text":"Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":718729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrientos Macho, Natalia","contributorId":199348,"corporation":false,"usgs":false,"family":"Barrientos Macho","given":"Natalia","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":718730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":718731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science 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University","active":true,"usgs":false}],"preferred":false,"id":718782,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Backman, Jan","contributorId":166857,"corporation":false,"usgs":false,"family":"Backman","given":"Jan","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":718783,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":718784,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"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":"<p><span>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&nbsp;</span><i>versus</i><span><span>&nbsp;</span>rainfed, cropping intensities, crop dominance, and croplands<span>&nbsp;</span></span><i>versus</i><span><span>&nbsp;</span>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</span><span>&nbsp;</span><span>Mha of net cropland areas (260</span><span>&nbsp;</span><span>Mha cultivated plus 36</span><span>&nbsp;</span><span>Mha fallows) and 330</span><span>&nbsp;</span><span>Mha of gross cropland areas. Of the 260</span><span>&nbsp;</span><span>Mha of net cropland areas cultivated during 2014, 90.6% (236</span><span>&nbsp;</span><span>Mha) was rainfed and just 9.4% (24</span><span>&nbsp;</span><span>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</span><span>&nbsp;</span><span>Mha during season 1, 117</span><span>&nbsp;</span><span>Mha during season 2, and 84</span><span>&nbsp;</span><span>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</span><span>&nbsp;</span><span>Mha/yr, and (b) cropland fallows decreased by 1</span><span>&nbsp;</span><span>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</span><span>&nbsp;</span><span>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.</span></p>","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  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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":70190700,"text":"70190700 - 2017 - Inter-nesting movements and habitat-use of adult female Kemp’s ridley turtles in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-09-12T15:09:37","indexId":"70190700","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Inter-nesting movements and habitat-use of adult female Kemp’s ridley turtles in the Gulf of Mexico","docAbstract":"<p><span>Species vulnerability is increased when individuals congregate in restricted areas for breeding; yet, breeding habitats are not well defined for many marine species. Identification and quantification of these breeding habitats are essential to effective conservation. Satellite telemetry and switching state-space modeling (SSM) were used to define inter-nesting habitat of endangered Kemp’s ridley turtles (</span><i>Lepidochelys kempii</i><span>) in the Gulf of Mexico. Turtles were outfitted with satellite transmitters after nesting at Padre Island National Seashore, Texas, USA, from 1998 through 2013 (n = 60); Rancho Nuevo, Tamaulipas, Mexico, during 2010 and 2011 (n = 11); and Tecolutla, Veracruz, Mexico, during 2012 and 2013 (n = 11). These sites span the range of nearly all nesting by this species. Inter-nesting habitat lies in a narrow band of nearshore western Gulf of Mexico waters in the USA and Mexico, with mean water depth of 14 to 19 m within a mean distance to shore of 6 to 11 km as estimated by 50% kernel density estimate, α-Hull, and minimum convex polygon methodologies. Turtles tracked during the inter-nesting period moved, on average, 17.5 km/day and a mean total distance of 398 km. Mean home ranges occupied were 725 to 2948 km</span><sup>2</sup><span>. Our results indicate that these nearshore western Gulf waters represent critical inter-nesting habitat for this species, where threats such as shrimp trawling and oil and gas platforms also occur. Up to half of all adult female Kemp’s ridleys occupy this habitat for weeks to months during each nesting season. Because inter-nesting habitat for this species is concentrated in nearshore waters of the western Gulf of Mexico in both Mexico and the USA, international collaboration is needed to protect this essential habitat and the turtles occurring within it.</span></p>","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0174248","usgsCitation":"Shaver, D.J., Hart, K.M., Fujisaki, I., Bucklin, D.N., Iverson, A., Rubio, C., Backof, T.F., Burchfield, P.M., Gonzales Diaz Miron, R.D., Dutton, P.H., Frey, A., Peña, J., Gamez, D.G., Martinez, H.J., and Ortiz, J., 2017, Inter-nesting movements and habitat-use of adult female Kemp’s ridley turtles in the Gulf of Mexico: PLoS ONE, v. 12, no. 3, e0174248; 27 p., https://doi.org/10.1371/journal.pone.0174248.","productDescription":"e0174248; 27 p.","ipdsId":"IP-074667","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469969,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0174248","text":"Publisher Index Page"},{"id":345671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.3056640625,\n              18.771115062337024\n            ],\n            [\n              -95.29541015625,\n              18.771115062337024\n            ],\n            [\n              -95.29541015625,\n              28.998531814051795\n            ],\n            [\n              -98.3056640625,\n              28.998531814051795\n            ],\n            [\n              -98.3056640625,\n              18.771115062337024\n          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Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":710210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bucklin, David N.","contributorId":175273,"corporation":false,"usgs":false,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":710211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iverson, Autumn 0000-0002-8353-6745 ariverson@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":179150,"corporation":false,"usgs":true,"family":"Iverson","given":"Autumn","email":"ariverson@usgs.gov","affiliations":[],"preferred":true,"id":710212,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubio, Cynthia","contributorId":39277,"corporation":false,"usgs":true,"family":"Rubio","given":"Cynthia","email":"","affiliations":[],"preferred":false,"id":710213,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Backof, Thomas F.","contributorId":196388,"corporation":false,"usgs":false,"family":"Backof","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":710214,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burchfield, Patrick M.","contributorId":47676,"corporation":false,"usgs":true,"family":"Burchfield","given":"Patrick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":710215,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gonzales Diaz Miron, Raul de Jesus","contributorId":168393,"corporation":false,"usgs":false,"family":"Gonzales Diaz Miron","given":"Raul","email":"","middleInitial":"de Jesus","affiliations":[],"preferred":false,"id":710216,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dutton, Peter H.","contributorId":98029,"corporation":false,"usgs":true,"family":"Dutton","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":710217,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Frey, Amy","contributorId":196390,"corporation":false,"usgs":false,"family":"Frey","given":"Amy","email":"","affiliations":[],"preferred":false,"id":710218,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peña, Jaime","contributorId":34810,"corporation":false,"usgs":true,"family":"Peña","given":"Jaime","affiliations":[],"preferred":false,"id":710219,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gamez, Daniel 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,{"id":70193789,"text":"70193789 - 2017 - Relationships among catch, angler catisfaction, and fish assemblage characteristics of an urban small impoundment fishery","interactions":[],"lastModifiedDate":"2017-11-06T07:46:31","indexId":"70193789","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Relationships among catch, angler catisfaction, and fish assemblage characteristics of an urban small impoundment fishery","docAbstract":"<p>Urban fisheries provide unique angling opportunities for people from traditionally underrepresented demographics. Lake Raleigh is a 38-ha impoundment located on the North Carolina State University campus in Raleigh. Like many urban fisheries, little is known about angler use and satisfaction or how angling catch rate is related to fish availability in Lake Raleigh. We characterized the recreational fishery and fish assemblage with concurrent creel and boat electrofishing surveys over the course of one year. In total, 245 anglers were interviewed on 68 survey days. On average, anglers spent 1.7 h fishing per trip and caught 0.385 fish h –1. A large proportion of anglers (43.9%) targeted multiple species, whereas 36.5% targeted largemouth bass (<i>Micropterus salmoides</i>), 10.0% targeted panfish (i.e., sunfishes [<i>Lepomis</i> spp.] and crappies [<i>Pomoxis</i> spp.]), and 9.6% targeted catfish (<i>Ameiurus</i> spp. and <i>Ictalurus</i> spp.). Most anglers (69.4%) were satisfied with their experience, and overall satisfaction was unrelated to catch rate. Pulsed-DC boat electrofishing was conducted on 25 dates, and 617 fish were sampled. Angler catch rate was unrelated to electrofishing catch rate, implying that anglers' catch rate was independent of fish density or availability. Our results demonstrate that even minimally managed urban fisheries can provide high angler satisfaction, with limited dedication of management resources. Relationships Among Catch, Angler Satisfaction, and Fish Assemblage Characteristics of an Urban Small Impoundment Fishery (PDF Download Available). Available from: https://www.researchgate.net/publication/316636550_Relationships_Among_Catch_Angler_Satisfaction_and_Fish_Assemblage_Characteristics_of_an_Urban_Small_Impoundment_Fishery [accessed Aug 11, 2017].</p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencie","usgsCitation":"Ivasauskas, T.J., Xiong, W.N., Engman, A.C., Fischer, J.R., Kwak, T.J., and Rundle, K.R., 2017, Relationships among catch, angler catisfaction, and fish assemblage characteristics of an urban small impoundment fishery: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 4, p. 31-38.","productDescription":"8 p.","startPage":"31","endPage":"38","ipdsId":"IP-077119","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348218,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/publications/journal/?id=402076"}],"country":"United States","state":"North Carolina","city":"Raleigh","otherGeospatial":"Lake Raleigh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.68798732757568,\n              35.762114795721\n            ],\n            [\n              -78.67541313171387,\n              35.762114795721\n            ],\n            [\n              -78.67541313171387,\n              35.7696015333999\n            ],\n            [\n              -78.68798732757568,\n              35.7696015333999\n            ],\n            [\n              -78.68798732757568,\n              35.762114795721\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e90ee4b09af898c8cbe5","contributors":{"authors":[{"text":"Ivasauskas, Tomas J.","contributorId":84176,"corporation":false,"usgs":false,"family":"Ivasauskas","given":"Tomas","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":720511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, Wilson N.","contributorId":139857,"corporation":false,"usgs":false,"family":"Xiong","given":"Wilson","email":"","middleInitial":"N.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":720538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engman, Augustin C.","contributorId":32145,"corporation":false,"usgs":false,"family":"Engman","given":"Augustin","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":720539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischer, Jesse R.","contributorId":119750,"corporation":false,"usgs":false,"family":"Fischer","given":"Jesse","email":"","middleInitial":"R.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":720540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rundle, Kirk R.","contributorId":57453,"corporation":false,"usgs":false,"family":"Rundle","given":"Kirk","email":"","middleInitial":"R.","affiliations":[{"id":35598,"text":"North Carolina Wildlife Resources Commission ","active":true,"usgs":false}],"preferred":false,"id":720545,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70186176,"text":"70186176 - 2017 - A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change","interactions":[],"lastModifiedDate":"2017-05-15T17:22:51","indexId":"70186176","displayToPublicDate":"2017-03-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change","docAbstract":"<p><span>We present a shoreline change model for coastal hazard assessment and management planning. The model, CoSMoS-COAST (Coastal One-line Assimilated Simulation Tool), is a transect-based, one-line model that predicts short-term and long-term shoreline response to climate change in the 21</span><sup>st</sup><span> century. The proposed model represents a novel, modular synthesis of process-based models of coastline evolution due to longshore and cross-shore transport by waves and sea-level rise. Additionally, the model uses an extended Kalman filter for data assimilation of historical shoreline positions to improve estimates of model parameters and thereby improve confidence in long-term predictions. We apply CoSMoS-COAST to simulate sandy shoreline evolution along 500 km of coastline in Southern California, which hosts complex mixtures of beach settings variably backed by dunes, bluffs, cliffs, estuaries, river mouths, and urban infrastructure, providing applicability of the model to virtually any coastal setting. Aided by data assimilation, the model is able to reproduce the observed signal of seasonal shoreline change for the hindcast period of 1995-2010, showing excellent agreement between modeled and observed beach states. The skill of the model during the hindcast period improves confidence in the model's predictive capability when applied to the forecast period (2010-2100) driven by GCM-projected wave and sea-level conditions. Predictions of shoreline change with limited human intervention indicate that 31% to 67% of Southern California beaches may become completely eroded by 2100 under sea-level rise scenarios of 0.93 to 2.0 m.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2016JF004065","usgsCitation":"Vitousek, S., Barnard, P., Limber, P.W., Erikson, L.H., and Cole, B., 2017, A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change: Journal of Geophysical Research F: Earth Surface, v. 122, no. 4, p. 782-806, https://doi.org/10.1002/2016JF004065.","productDescription":"25 p.","startPage":"782","endPage":"806","ipdsId":"IP-079262","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":338922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"122","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"58df6abfe4b02ff32c6aea27","contributors":{"authors":[{"text":"Vitousek, Sean","contributorId":190192,"corporation":false,"usgs":false,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":687761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":687760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":5773,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":687762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":687763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole, Blake","contributorId":190193,"corporation":false,"usgs":false,"family":"Cole","given":"Blake","email":"","affiliations":[],"preferred":false,"id":687764,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186013,"text":"70186013 - 2017 - Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels","interactions":[],"lastModifiedDate":"2017-03-30T09:25:38","indexId":"70186013","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels","docAbstract":"<p><span>Increased nutrient and sediment loading in rivers have caused observable changes in algal community composition, and thereby, altered the quality and quantity of food resources available to native freshwater mussels. Our objective was to characterize the relationship between nutrient conditions and mussel food quality and examine the effects on fatty acid composition, growth and survival of juvenile mussels. Juvenile </span><i>Lampsilis cardium</i><span> and </span><i>L</i><span>. </span><i>siliquoidea</i><span> were deployed in cages for 28 d at four riverine and four lacustrine sites in the lower St. Croix River, Minnesota/Wisconsin, USA. Mussel foot tissue and food resources (four seston fractions and surficial sediment) were analyzed for quantitative fatty acid (FA) composition. Green algae were abundant in riverine sites, whereas cyanobacteria were most abundant in the lacustrine sites. Mussel survival was high (95%) for both species. </span><i>Lampsilis cardium</i><span> exhibited lower growth relative to </span><i>L</i><span>. </span><i>siliquoidea</i><span> (p &lt;0.0001), but growth of </span><i>L</i><span>. </span><i>cardium</i><span> was not significantly different across sites (p = 0.13). In contrast, growth of </span><i>L</i><span>. </span><i>siliquoidea</i><span> was significantly greater at the most upstream riverine site compared to the lower three lacustrine sites (p = 0.002). </span><i>In situ</i><span> growth of </span><i>Lampsilis siliquoidea</i><span> was positively related to volatile solids (10 – 32 μm fraction), total phosphorus (&lt;10 and 10 – 32 μm fractions), and select FA in the seston (docosapentaeonic acid, DPA, 22:5n3; 4,7,10,13,16-docosapentaenoic, 22:5n6; arachidonic acid, ARA, 20:4n6; and 24:0 in the &lt;10 and 10 – 32 μm fractions). Our laboratory feeding experiment also indicated high accumulation ratios for 22:5n3, 22:5n6, and 20:4n6 in mussel tissue relative to supplied algal diet. In contrast, growth of </span><i>L</i><span>. </span><i>siliquiodea</i><span> was negatively related to nearly all FAs in the largest size fraction (i.e., &gt;63 μm) of seston, including the bacterial FAs, and several of the FAs associated with sediments. Reduced mussel growth was observed in </span><i>L</i><span>. </span><i>siliquoidea</i><span> when the abundance of cyanobacteria exceeded 9% of the total phytoplankton biovolume. Areas dominated by cyanobacteria may not provide sufficient food quality to promote or sustain mussel growth.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0173419","usgsCitation":"Bartsch, M.R., Bartsch, L., Richardson, W.B., Vallazza, J.M., and Moraska Lafrancois, B., 2017, Effects of food resources on the fatty acid composition, growth and survival of freshwater mussels: PLoS ONE, v. 12, no. 3, e0173419; 26 p., https://doi.org/10.1371/journal.pone.0173419.","productDescription":"e0173419; 26 p.","ipdsId":"IP-080604","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0173419","text":"Publisher Index Page"},{"id":338773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Croix River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.328857421875,\n              44.68818283842486\n            ],\n            [\n              -91.4227294921875,\n              44.68818283842486\n            ],\n            [\n              -91.4227294921875,\n              46.426499019253\n            ],\n            [\n              -93.328857421875,\n              46.426499019253\n            ],\n            [\n              -93.328857421875,\n              44.68818283842486\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-07","publicationStatus":"PW","scienceBaseUri":"58de194ce4b02ff32c699c8b","contributors":{"authors":[{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moraska Lafrancois, Brenda","contributorId":190133,"corporation":false,"usgs":false,"family":"Moraska Lafrancois","given":"Brenda","email":"","affiliations":[],"preferred":false,"id":687349,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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