To understand how migratory behavior evolved and to predict the future of migratory species in the face of global environmental change it is important to quantify intra- and inter-individual variation in migratory behavior. Intra-individual variation includes behavioral response to changing environmental conditions and hence behavioral plasticity in the context of novel conditions. Inter-individual variation determines the degree of variation on which selection can act and the rate of evolutionary response to changes in average and extreme environmental conditions. Here we focus on variation in the partial migratory behavior of Galapagos giant tortoises (Chelonoidis spp.), which exhibit high fidelity to migratory routes over many years. We evaluate the extent and mechanisms by which tortoises adjust migration timing in response to varying annual environmental conditions, integrating movement data within a bioenergetic model of tortoise migration to quantify the fitness consequences of migration timing. We find strong inter-individual variation in the timing of migration, which was not affected by environmental conditions prevailing at the time of migration but rather by marginal expectations estimated from multi-annual averaged conditions, leading to an average annual loss in efficiency of ~15% relative to optimal timing based on year-specific conditions. These results point towards a limited ability of tortoises to adjust the timing of their migrations based on prevailing (and, by extension, future) conditions, suggesting that the adaptability of tortoise migratory behavior to changing conditions is predicated more on past “normal” conditions than responsive to current, changing conditions. Our work offers insights into the level of environmental-tuning in migratory behavior and a general framework for future research across taxa.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2658","usgsCitation":"Bastille-Rousseau, G., Yackulic, C.B., Gibbs, J.P., Friar, J.L., Cabrera, F., and Blake, S., 2019, Migration triggers in a large herbivore: Galapagos giant tortoises navigating resources gradients on volcanoes: Ecology, v. 100, no. 6, e02658; 11 p., https://doi.org/10.1002/ecy.2658.","productDescription":"e02658; 11 p.","ipdsId":"IP-100540","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":365396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Galapagos Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.7578125,\n -0.4833927027896987\n ],\n [\n -91.571044921875,\n -0.9447814006873896\n ],\n [\n -90.582275390625,\n -1.345701455472609\n ],\n [\n -89.5660400390625,\n -1.4720060101903352\n ],\n [\n -89.2034912109375,\n -0.7195855745039547\n ],\n [\n -89.9285888671875,\n 0.4394488164139768\n ],\n [\n -90.8734130859375,\n 0.6591651462894632\n ],\n [\n -91.64794921875,\n 0.10986321392741416\n ],\n [\n -91.7578125,\n -0.4833927027896987\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"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":765767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":765766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, James P.","contributorId":102418,"corporation":false,"usgs":false,"family":"Gibbs","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":765768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friar, Jacqueline L.","contributorId":216849,"corporation":false,"usgs":false,"family":"Friar","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":39531,"text":"Dept of Environmental and Forest Biology, State Univ of New York, College of Environmental Science and Forestry, Syracuse, NY, 13210; Roosevelt Wild Life Station, State Univ of New York, College of Environmental Science and Forestry, Syracuse, NY, 13210","active":true,"usgs":false}],"preferred":false,"id":765769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cabrera, Freddy","contributorId":174102,"corporation":false,"usgs":false,"family":"Cabrera","given":"Freddy","email":"","affiliations":[],"preferred":false,"id":765770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":765771,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204255,"text":"70204255 - 2019 - Application of sediment end-member analysis for understanding sediment fluxes, northern Chandeleur Islands, Louisiana","interactions":[],"lastModifiedDate":"2019-07-16T14:41:07","indexId":"70204255","displayToPublicDate":"2019-06-01T14:32:32","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Application of sediment end-member analysis for understanding sediment fluxes, northern Chandeleur Islands, Louisiana","docAbstract":"We analyzed grain-size distributions (GSDs) from a time-series of sediment samples to evaluate sediment transport following anthropogenic sand-berm emplacement at the northern Chandeleur Islands, Louisiana. End-member analysis (EMA) was applied to compare the end-member (EM) GSD of a known sediment source to GSDs from surrounding environments and characterize the physical redistribution of source sediment over time. Although we successfully modeled a proxy borrow-source EM using pre-emplacement (2007-2008) datasets, this EM is not easily distinguishable from the modeled emergent-island EM, possibly because the baseline dataset did not provide the necessary sample distribution to distinguish the range of depositional environments. Comparison of post-emplacement (2012) samples from the berm and natural island with the proxy borrow-source EM suggests that this application of EMA can be a valuable tool for understanding sediment redistribution subsequent to restoration efforts, especially if the GSDs of the emplaced and naturally-occurring sediments are dissimilar and adequately sampled.
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Ltd.","doi":"10.1142/9789811204487_0003","usgsCitation":"Bernier, J., Miselis, J.L., Buster, N.A., and Flocks, J.G., 2019, Application of sediment end-member analysis for understanding sediment fluxes, northern Chandeleur Islands, Louisiana, in Coastal Sediments 2019—Proceedings of the 9th International Conference, Tampa/St. Petersburg, Florida, May 27-31, 2019, p. 25-38, https://doi.org/10.1142/9789811204487_0003.","productDescription":"14 p.","startPage":"25","endPage":"38","ipdsId":"IP-105796","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Northern Chandeleur Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.0277099609375,\n 29.58540020340835\n ],\n [\n -88.77777099609375,\n 29.58540020340835\n ],\n [\n -88.77777099609375,\n 30.063151406016434\n ],\n [\n -89.0277099609375,\n 30.063151406016434\n ],\n [\n -89.0277099609375,\n 29.58540020340835\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204585,"text":"70204585 - 2019 - Ground-motion residuals, path effects, and crustal properties: A pilot study in southern California","interactions":[],"lastModifiedDate":"2019-08-07T09:05:26","indexId":"70204585","displayToPublicDate":"2019-06-01T11:55:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Ground-motion residuals, path effects, and crustal properties: A pilot study in southern California","docAbstract":"To improve models of ground motion estimation and probabilistic seismic hazard analyses, the engineering seismology field is moving toward developing fully nonergodic ground motion models, models specific for individual source‐to‐site paths. Previous work on this topic has examined systematic variations in ground‐motion along particular paths (from either recorded or simulated earthquake data) and has not included physical properties of the path. We present here a framework to include physical path properties, by seeking correlations between ground motion amplitudes along specific paths and crustal properties, specifically seismic velocity and anelastic attenuation, along that path. Using a large data set of small‐magnitude earthquakes recorded in Southern California, we find a correlation between the gradient of seismic S wave velocity and the path term residual, after accounting for an average geometric spreading and anelastic attenuation, indicating that heterogeneity in crustal velocity primarily controls the path‐specific attenuation. Even in aseismic regions, details of path‐specific ground motion prediction equations can be developed from crustal structure and property data.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016796","usgsCitation":"Sahakian, V., Baltay Sundstrom, A.S., Hanks, T.C., Bueler, J., Vernon, F., Kilb, D.L., and Abrahamson, N., 2019, Ground-motion residuals, path effects, and crustal properties: A pilot study in southern California: Journal of Geophysical Research B: Solid Earth, v. 124, no. 6, p. 5738-5753, https://doi.org/10.1029/2018JB016796.","productDescription":"16 p.","startPage":"5738","endPage":"5753","ipdsId":"IP-101300","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":366300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.67333984374999,\n 32.45415593941475\n ],\n [\n -114.3017578125,\n 32.45415593941475\n ],\n [\n -114.3017578125,\n 37.23032838760387\n ],\n [\n -122.67333984374999,\n 37.23032838760387\n ],\n [\n -122.67333984374999,\n 32.45415593941475\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Sahakian, Valerie J.","contributorId":208097,"corporation":false,"usgs":false,"family":"Sahakian","given":"Valerie J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":767639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":767640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bueler, Janine","contributorId":217838,"corporation":false,"usgs":false,"family":"Bueler","given":"Janine","email":"","affiliations":[{"id":27208,"text":"UC San Diego","active":true,"usgs":false}],"preferred":false,"id":767641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vernon, Frank","contributorId":217839,"corporation":false,"usgs":false,"family":"Vernon","given":"Frank","affiliations":[{"id":27208,"text":"UC San Diego","active":true,"usgs":false}],"preferred":false,"id":767642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilb, Deborah L.","contributorId":216380,"corporation":false,"usgs":false,"family":"Kilb","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":767643,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abrahamson, Norm A.","contributorId":217840,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norm A.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":767644,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70240966,"text":"70240966 - 2019 - Toward a national coastal hazard forecast of total water levels","interactions":[],"lastModifiedDate":"2023-03-02T17:03:52.899364","indexId":"70240966","displayToPublicDate":"2019-06-01T10:55:49","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Toward a national coastal hazard forecast of total water levels","docAbstract":"Storm surge and large waves combine to erode beaches, cause marsh and coral decay, and inundate low-elevation areas, resulting in hazards to coastal communities and loss of natural resources. The USGS, in collaboration with NOAA, is developing a real-time system to provide ∼ 6-day forecasts of total water levels (TWLs) combining tides, storm surge, and wave runup. TWL is compared with dune elevations along sandy coastlines to obtain regional flood and coastal hazard forecasts. The predictions are available online (https://coastal.er.usgs.gov/hurricanes/research/twlviewer/) and provide intuitive representations of regional coastal risk. Current efforts include 1) assessing skill by comparing forecasts with observations along sandy coastlines and 2) developing methods more appropriate for non-sandy coastlines (e.g., rocky, reef, marsh, cliff, and built shorelines). The vision of this work is to provide a tool for short- to medium-term coastal hazard forecasts to inform planners and emergency responders along nearly the entire US coastline.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal sediments 2019: Proceedings of the 9th international conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0120","usgsCitation":"Aretxabaleta, A., Doran, K.S., Long, J.W., and Erikson, L.H., 2019, Toward a national coastal hazard forecast of total water levels, in Coastal sediments 2019: Proceedings of the 9th international conference, v. 2019, Tampa/St. Petersburg, FL, May 27-31, 2019, p. 1373-1384, https://doi.org/10.1142/9789811204487_0120.","productDescription":"12 p","startPage":"1373","endPage":"1384","ipdsId":"IP-105292","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":413627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2019","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":148059,"corporation":false,"usgs":true,"family":"Doran","given":"Kara","email":"kdoran@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865520,"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":865521,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216096,"text":"70216096 - 2019 - Estimating connectivity of hard clam (Mercenaria mercenaria) and eastern oyster (Crassostrea virginica) larvae in Barnegat Bay","interactions":[],"lastModifiedDate":"2020-11-04T16:44:24.630283","indexId":"70216096","displayToPublicDate":"2019-06-01T10:39:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Estimating connectivity of hard clam (Mercenaria mercenaria) and eastern oyster (Crassostrea virginica) larvae in Barnegat Bay","docAbstract":"Blue Sucker Cycleptus elongatus is a state-listed threatened species in Texas and is considered vulnerable throughout its range. Once considered a single, wide-ranging species, blue suckers are now recognized as a complex of closely related, but genetically and morphologically distinct species within the genus Cycleptus, including an undescribed species within the Rio Grande Basin. Numerous factors likely are driving the decline of blue suckers in Texas, including flow alteration, water quality, habitat fragmentation, and changing land-use patterns, but it is not clear how these factors interact to influence the abundance and distribution of the species. Our research integrates a variety of methodologies to provide information critical to the conservation and management of Blue Sucker in the Sabine River (Texas and Louisiana) and Colorado River (Texas) and Rio Grande Blue Sucker Cycleptus sp. cf. elongatus in the Rio Grande.
The objectives of this report are to 1) determine the habitat associations of the young-of-year (YOY) Rio Grande Blue Sucker; 2) assess the effects of flow regime on growth and recruitment of Blue Sucker in the lower Sabine River; and 3) examine differences in life-history traits of Blue Suckers and flow regime across river basins in Texas. This study is the first to quantitatively address the sequence of YOY blue sucker mesohabitat use and increases our understanding of early life history of blue suckers, and the results of this work will help to develop conservation and management strategies, e.g., prioritizing conservation areas, developing flow recommendation, etc., for blue suckers throughout their geographic distribution.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Miyazono, S., Pease, A., Grabowski, T.B., and Fritts, S., 2019, Recruitment dynamics and reproductive ecology of Blue Sucker in Texas, with a focus on the Big Bend region of the Rio Grande: Cooperator Science Series CSS-134-2020, ii, 63 p.","productDescription":"ii, 63 p.","ipdsId":"IP-107860","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494690,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/recruitment-dynamics-and-reproductive-ecology-blue-sucker-texas-focus-big-bend-region-rio"},{"id":494902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationDate":"2019-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Miyazono, Seiji","contributorId":360467,"corporation":false,"usgs":false,"family":"Miyazono","given":"Seiji","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":947089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pease, Allison A.","contributorId":356124,"corporation":false,"usgs":false,"family":"Pease","given":"Allison A.","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":947090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fritts, Sarah","contributorId":356126,"corporation":false,"usgs":false,"family":"Fritts","given":"Sarah","affiliations":[{"id":84915,"text":"tsu","active":true,"usgs":false}],"preferred":false,"id":947335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203889,"text":"70203889 - 2019 - Spatio-temporal population change of Arctic-breeding waterbirds on the Arctic Coastal Plain of Alaska","interactions":[],"lastModifiedDate":"2019-08-15T12:25:18","indexId":"70203889","displayToPublicDate":"2019-06-01T10:12:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal population change of Arctic-breeding waterbirds on the Arctic Coastal Plain of Alaska","docAbstract":"Rapid physical changes that are occurring in the Arctic are primary drivers of landscape change and thus may drive population dynamics of Arctic-breeding birds. Despite the importance of this region to breeding and molting waterbirds, lack of a comprehensive analysis of historic data has hindered quantifying avian population change. We estimated distribution, abundance, and spatially explicit population trend of 20 breeding waterbird species using 25 years (1992–2016) of aerial survey data collected on the Arctic Coastal Plain (ACP), Alaska. The ACP is an extensive wetland complex on Alaska’s North Slope that supports millions of breeding waterbirds and includes portions of the National Petroleum Reserve—Alaska and the Arctic National Wildlife Refuge. We summarized annual counts into approximately 6-km by 6-km grid cells and analyzed data with generalized linear mixed models that accounted for survey timing and spatio-temporal autocorrelation. Geese and swans were most abundant along the coast between Admiralty Bay and Prudhoe Bay. Sea ducks, generalist predators (i.e., jaeger, gulls, terns), and loons were most abundant between Utqiaġvik and Point Lay, Alaska. Important areas for most species included the coastal fringe near Teshekpuk Lake, the Colville River Delta, and Admiralty Bay. The National Petroleum Reserve—Alaska was an important area for all species examined. Conversely, density on the coastal plain of the Arctic National Wildlife Refuge was greater than average for 20% of species. Annual population growth rates over the 25-year survey period were variable: 13 increased (range: 1.4%–13.8%), one decreased (-3.4%), and six were stable. However, even species with no overall population trend had areas of changing population size, suggesting localized conditions affected waterbird distributions on the ACP. Our results can be used to better inform land use decisions, improve monitoring of waterbird populations, and increase understanding of avian response to ecological change in the Arctic.","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ACE-01383-140118","usgsCitation":"Amundson, C.L., Flint, P.L., Stehn, R., Platte, R., Wilson, H.M., Larned, W.W., and Fischer, J., 2019, Spatio-temporal population change of Arctic-breeding waterbirds on the Arctic Coastal Plain of Alaska: Avian Conservation and Ecology, v. 14, no. 1, 18, 198 p., https://doi.org/10.5751/ACE-01383-140118.","productDescription":"18, 198 p.","ipdsId":"IP-095978","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01383-140118","text":"Publisher Index Page"},{"id":364827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -142.294921875,\n 69.56522590149099\n ],\n [\n -142.294921875,\n 70.1403642720717\n ],\n [\n -145.107421875,\n 70.31873847853124\n ],\n [\n -147.48046875,\n 70.4367988185464\n ],\n [\n -149.765625,\n 70.78690984117928\n ],\n [\n -151.962890625,\n 70.8734913192635\n ],\n [\n -153.544921875,\n 71.10254274232307\n ],\n [\n -154.86328125,\n 71.27259471233448\n ],\n [\n -156.4453125,\n 71.52490903732816\n ],\n [\n -158.466796875,\n 71.10254274232307\n ],\n [\n -161.54296875,\n 70.52489722821652\n ],\n [\n -164.00390625,\n 69.65708627301174\n ],\n [\n -162.158203125,\n 69.31832006949072\n ],\n [\n -160.48828125,\n 69.80930869552193\n ],\n [\n -160.75195312499997,\n 70.1403642720717\n ],\n [\n -159.345703125,\n 70.11048478105927\n ],\n [\n -147.744140625,\n 69.62651016802958\n ],\n [\n -142.294921875,\n 69.56522590149099\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stehn, Robert A","contributorId":216354,"corporation":false,"usgs":false,"family":"Stehn","given":"Robert A","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":764603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Platte, Robert","contributorId":216355,"corporation":false,"usgs":false,"family":"Platte","given":"Robert","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":764604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Heather M.","contributorId":37056,"corporation":false,"usgs":false,"family":"Wilson","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":764605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larned, William W.","contributorId":75206,"corporation":false,"usgs":false,"family":"Larned","given":"William","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":764606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischer, Julian B.","contributorId":207042,"corporation":false,"usgs":false,"family":"Fischer","given":"Julian B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":764607,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204048,"text":"70204048 - 2019 - Constraining parameter uncertainty in modeling debris-flow initiation during the September 2013 Colorado Front Range storm","interactions":[],"lastModifiedDate":"2019-07-10T09:15:14","indexId":"70204048","displayToPublicDate":"2019-06-01T09:38:43","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Constraining parameter uncertainty in modeling debris-flow initiation during the September 2013 Colorado Front Range storm","docAbstract":"The occurrence of debris flows during the September 2013 northern Colorado floods took the emergency management community by surprise. The September 2013 debris flows in the Colorado Front Range initiated from shallow landslides in colluvium. Most occurred on south- and east-facing slopes on the walls of steep canyons in crystalline rocks and on sedimentary hogbacks. Previous studies showed that most debris flows occurred in areas of high storm-total rainfall and that strength added by tree roots accounts for the low number of landslides in densely forested areas. Given the lack of rainfall thresholds for debris flow occurrence in northern Colorado, we want to parameterize a numerical model to assess potential for debris flows in advance of heavy rainfall. Natural Resources Conservation Service (NRCS) soil mapping of the area, supplemented by laboratory testing and field measurements, indicates that soil textures and hydraulic properties of landslide source materials vary considerably over the study area. As a step toward modeling storm response, available soil and geologic mapping have been interpreted to define zones of relatively homogeneous properties. A new, simplified modeling approach for evaluating model input parameters in the context of slope and depth of observed debris flow source areas and recorded debris-flow inducing rainfall helps narrow the range of possible parameters to those most likely to produce model results consistent with observed debris flow initiation. Initial results have narrowed the strength parameters to about one third of possible combinations of cohesion and internal friction angle and narrowed hydraulic conductivity to a range spanning slightly more than one order of magnitude.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation: Mechanics, monitoring, modeling, and assessment; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Association of Environmental and Engineering Geologists and Mountain Scholar (Colorado School of Mines)","usgsCitation":"Baum, R.L., Scheevel, C., and Jones, E.S., 2019, Constraining parameter uncertainty in modeling debris-flow initiation during the September 2013 Colorado Front Range storm, in Debris-flow hazards mitigation: Mechanics, monitoring, modeling, and assessment; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019, Golden, CO, June 10-13, 2019, p. 249-256.","productDescription":"8 p.","startPage":"249","endPage":"256","ipdsId":"IP-105457","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365179,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11124/173051"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.64865112304688,\n 40.01026122056978\n ],\n [\n -105.23529052734375,\n 40.01026122056978\n ],\n [\n -105.23529052734375,\n 40.376366869367615\n ],\n [\n -105.64865112304688,\n 40.376366869367615\n ],\n [\n -105.64865112304688,\n 40.01026122056978\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":765268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheevel, C.R. 0000-0001-6921-9404","orcid":"https://orcid.org/0000-0001-6921-9404","contributorId":216662,"corporation":false,"usgs":false,"family":"Scheevel","given":"C.R.","affiliations":[{"id":39497,"text":"BGC Engineering Inc","active":true,"usgs":false}],"preferred":false,"id":765269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Eric S. 0000-0002-9200-8442 esjones@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-8442","contributorId":4924,"corporation":false,"usgs":true,"family":"Jones","given":"Eric","email":"esjones@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":765270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228307,"text":"70228307 - 2019 - Discriminating among Pacific salmon, Rainbow Trout, and Atlantic Salmon species using common genetic screening methods","interactions":[],"lastModifiedDate":"2022-02-08T15:00:12.72192","indexId":"70228307","displayToPublicDate":"2019-06-01T08:43:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Discriminating among Pacific salmon, Rainbow Trout, and Atlantic Salmon species using common genetic screening methods","docAbstract":"The five most common species of Pacific salmon, Rainbow Trout (steelhead) Oncorhynchus spp., and Atlantic Salmon Salmo salar intermingle in the North Pacific Ocean and its freshwater tributaries. Efficient morphological methods for distinguishing among these species are sometimes limited by condition of the specimen (degraded or missing morphology), life history stage, or training of the observer. Researchers have successfully applied various genetic methods to distinguish among these species when morphological analyses are not possible, but they cannot easily incorporate these methods into standard fish and wildlife population monitoring analysis workflows. Here we test five 5′–3′ exonuclease (TaqMan) assays developed from mitochondrial genes and provide novel methods that take advantage of TaqMan output to distinguish among these species. We found that combinations of as few as two of the five assays were adequate to distinguish all species. TaqMan chemistry is designed to interrogate a single nucleotide locus. We also explore the basis for the variation in the observed scatter plot distributions (variation in florescent signals) and show that this variation is due to nucleotide diversity in and near the probe site. Because the SNPs underlying the assays developed here are all physically close to one another along the mitochondrial genome, the potential exists to develop a single DNA sequence-based assay to discriminate among salmon species. This single assay can be added to a genotyping-by-sequencing panel to identify and exclude nontarget species from analyses.
No abstract available.
","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Daniel, W., 2019, USGS combats invasive species through citizen science: Natural Selections Newsletter, no. Summer, p. 12-13.","productDescription":"2 p.","startPage":"12","endPage":"13","ipdsId":"IP-107519","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":494253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Summer","noUsgsAuthors":false,"publicationDate":"2019-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":214505,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":946239,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204730,"text":"70204730 - 2019 - Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts","interactions":[],"lastModifiedDate":"2019-08-13T07:59:39","indexId":"70204730","displayToPublicDate":"2019-06-01T07:58:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts","docAbstract":"Large earthquakes initiate chains of surface processes that last much longer than the brief moments of strong shaking. Most moderate- and large-magnitude earthquakes trigger landslides, ranging from small failures in the soil cover to massive, devastating rock avalanches. Some landslides dam rivers and impound lakes, which can collapse days to centuries later, and flood mountain valleys for hundreds of kilometers downstream. Landslide deposits on slopes can remobilize during heavy rainfall and evolve into debris flows. Cracks and fractures can form and widen on mountain crests and flanks, promoting increased frequency of landslides that lasts for decades. More gradual impacts involve the flushing of excess debris downstream by rivers, which can generate bank erosion and floodplain accretion as well as channel avulsions that affect flooding frequency, settlements, ecosystems, and infrastructure. Ultimately, earthquake sequences and their geomorphic consequences alter mountain landscapes over both human and geologic time scales. Two recent events have attracted intense research into earthquake-induced landslides and their consequences: the magnitude M 7.6 Chi-Chi, Taiwan earthquake of 1999, and the M 7.9 Wenchuan, China earthquake of 2008. Using data and insights from these and several other earthquakes, we analyze how such events initiate processes that change mountain landscapes, highlight research gaps, and suggest pathways toward a more complete understanding of the seismic effects on the Earth’s surface.","language":"English","publisher":"Wiley","doi":"10.1029/2018RG000626","usgsCitation":"Fan, X., Scaringi, G., Korup, O., West, A.J., Westen, C.J., Tanyas, H., Hovius, N., Hales, T.C., Jibson, R.W., Allstadt, K.E., Zhang, L., Evans, S.G., Xu, C., , L., Pei, X., Xu, Q., and Huang, R., 2019, Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts: Reviews of Geophysics, v. 57, p. 421-503, https://doi.org/10.1029/2018RG000626.","productDescription":"83 p.","startPage":"421","endPage":"503","ipdsId":"IP-107091","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018rg000626","text":"Publisher Index Page"},{"id":366490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366480,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1029/2018RG000626"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fan, Xuanmei","contributorId":218069,"corporation":false,"usgs":false,"family":"Fan","given":"Xuanmei","email":"","affiliations":[{"id":39733,"text":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaringi, Gianvito","contributorId":218070,"corporation":false,"usgs":false,"family":"Scaringi","given":"Gianvito","email":"","affiliations":[{"id":39734,"text":"University of Technology, Chengdu, Sichuan, China and Science, and Science, Charles University, Prague, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":768219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korup, Oliver","contributorId":218071,"corporation":false,"usgs":false,"family":"Korup","given":"Oliver","email":"","affiliations":[{"id":39735,"text":"Institute of Earth and Environmental Science, University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":768220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, A. Joshua","contributorId":200289,"corporation":false,"usgs":false,"family":"West","given":"A.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":768221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westen, Cees J. van","contributorId":218072,"corporation":false,"usgs":false,"family":"Westen","given":"Cees","email":"","middleInitial":"J. van","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":768222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tanyas, Hakan","contributorId":198731,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","affiliations":[],"preferred":false,"id":768223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hovius, Niels","contributorId":198733,"corporation":false,"usgs":false,"family":"Hovius","given":"Niels","email":"","affiliations":[],"preferred":false,"id":768224,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hales, Tristram C","contributorId":218073,"corporation":false,"usgs":false,"family":"Hales","given":"Tristram","email":"","middleInitial":"C","affiliations":[{"id":39736,"text":"Cardiff University, Cardiff, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":768225,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":768217,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":768226,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhang, Limin","contributorId":218074,"corporation":false,"usgs":false,"family":"Zhang","given":"Limin","email":"","affiliations":[{"id":39737,"text":"The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China","active":true,"usgs":false}],"preferred":false,"id":768227,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evans, Stephen G.","contributorId":179140,"corporation":false,"usgs":false,"family":"Evans","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":768228,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Xu, Chong","contributorId":196191,"corporation":false,"usgs":false,"family":"Xu","given":"Chong","email":"","affiliations":[],"preferred":false,"id":768229,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":" Li","contributorId":203216,"corporation":false,"usgs":false,"given":"Li","email":"","affiliations":[],"preferred":false,"id":768230,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pei, Xiangjun","contributorId":218075,"corporation":false,"usgs":false,"family":"Pei","given":"Xiangjun","email":"","affiliations":[{"id":39738,"text":"Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768231,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Xu, Qiang","contributorId":214818,"corporation":false,"usgs":false,"family":"Xu","given":"Qiang","email":"","affiliations":[{"id":39123,"text":"Key Laboratory of Continental Collision and Plateau Uplift, Institute of Tibetan Plateau Research and Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":768232,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Huang, Runqiu","contributorId":218076,"corporation":false,"usgs":false,"family":"Huang","given":"Runqiu","email":"","affiliations":[{"id":39733,"text":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768233,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70205838,"text":"70205838 - 2019 - Report on the workshop 'Global modelling of biodiversity and ecosystem services'","interactions":[],"lastModifiedDate":"2019-10-08T07:54:53","indexId":"70205838","displayToPublicDate":"2019-06-01T07:53:59","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Report on the workshop 'Global modelling of biodiversity and ecosystem services'","title":"Report on the workshop 'Global modelling of biodiversity and ecosystem services'","docAbstract":"A three-day workshop on ‘Global Modelling of Biodiversity and Ecosystem Services’, was held in the Hague, Netherlands, from 24th to 26th June 2019. The workshop, attended by 35 modelling and scenario-building experts, was organised on behalf of the former IPBES1 expert group on scenarios and models of the first IPBES work programme by its interim technical support unit, and hosted by the PBL Netherlands Environmental Assessment Agency.\n\nThe workshop drew on the ‘nature futures’ participatory scenario-building exercise initiated by the IPBES expert group on scenarios and models, and other biodiversity modelling initiatives such as the ISIMIP project2 working on adding biodiversity to the Shared Socioeconomic Pathways (SSPs) scenarios framework, the 'bending the curve' initiative3 led by IIASA4 and WWF5, and GEOBON6 working on modelling Essential Biodiversity Variables. The workshop was a step towards coordinating across biodiversity modelling initiatives, to build on each other’s work, and to seek synergies for the production of innovative scenarios on biodiversity and ecosystem services to inform the post-2020 agenda of the Convention on Biological Diversity, as well as the Sustainable Development Goals. The aims of the workshop were to:\n\n1. Compile material as input for a first draft of the fifth Global Biodiversity Outlook (GBO-5) based on recent scenario work, including the ‘bending the curve’ scenarios and the newly developed PBL scenarios (modified from the Rio+20 scenarios), and existing models (to be completed by August 2019)\n2. Develop a protocol for modelling trends and near term projections on indicators relevant to the Nature Futures Framework7 using models that are readily available (to be completed by early 2020)\n3. Set the agenda and define the aims for a larger meeting at the end of 2019 to discuss the long term strategy towards the development of appropriate indicators and models to produce Nature Futures scenarios (to continue beyond Jan 2020)","language":"English","publisher":"Netherlands Environmental Assessment Agency","usgsCitation":"Okayasu, S., Machteld Schoolenberg, Belder, E.D., Ghassen Halouani, HyeJin Kim, and Miller, B.W., 2019, Report on the workshop 'Global modelling of biodiversity and ecosystem services', 58 p.","productDescription":"58 p.","ipdsId":"IP-111414","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":368087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368086,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.researchgate.net/profile/Tyler_Eddy/publication/335868146_Report_on_the_workshop_'Global_Modelling_of_Biodiversity_and_Ecosystem_Services'/links/5d80fabaa6fdcc12cb96f49d/Report-on-the-workshop-Global-Modelling-of-Biodiversity-and-Ecosystem-Services.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Okayasu, Sana","contributorId":219564,"corporation":false,"usgs":false,"family":"Okayasu","given":"Sana","email":"","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Machteld Schoolenberg","contributorId":219565,"corporation":false,"usgs":false,"family":"Machteld Schoolenberg","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belder, Eefje den","contributorId":219566,"corporation":false,"usgs":false,"family":"Belder","given":"Eefje","email":"","middleInitial":"den","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ghassen Halouani","contributorId":219567,"corporation":false,"usgs":false,"family":"Ghassen Halouani","affiliations":[{"id":40025,"text":"Galway-Mayo Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":772567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"HyeJin Kim","contributorId":219568,"corporation":false,"usgs":false,"family":"HyeJin Kim","affiliations":[{"id":40026,"text":"iDiv German Centre for Integrative Biodiversity Research","active":true,"usgs":false}],"preferred":false,"id":772568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":191731,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"bwmiller@usgs.gov","middleInitial":"W.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":772563,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204562,"text":"70204562 - 2019 - Salmon, forage fish, and kelp","interactions":[],"lastModifiedDate":"2019-08-05T09:41:13","indexId":"70204562","displayToPublicDate":"2019-06-01T07:13:45","publicationYear":"2019","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":"Salmon, forage fish, and kelp","docAbstract":"Kelp beds are prominent features of northeast Pacific coastlines. They are seasonal in nature, as are the communities that use them. Here, juvenile and adult Chinook salmon (Oncorhynchus tshawytscha) – key components of northeast Pacific marine food webs that link plankton and forage fishes to endangered killer whales – have just arrived at the coastal kelp beds (left) and are feeding on the large schools of forage fish such as young‐of‐the‐year herring, which are also migrating in great numbers near the shore. Juvenile herring and smelt will soon move offshore to grow and feed, and finally return as adults to spawn along shorelines.
Rapid growth is critical to the survival of young salmon. They quickly learn to work together to herd the small, skittish prey into tight groups. The kelp beds play an important role for both the salmon and their prey, providing refuge for feeding salmon and enhanced prey resources for hungry forage fish, which in turn feed incessantly at the surface of the kelp beds, except when they are disrupted by lightning‐fast attacks by marauding salmon. By October, much of the kelp will be gone, as will the juvenile salmon and forage fish, replaced by their adult congeners (right) that have traveled for years and hundreds of miles to continue the cycle.
Globally, kelp forests are in flux. Disturbances, including those induced by climate change, may have serious implications not only for this critical nearshore phase of salmon and forage fish, but also for the future viability of our cold‐water northeast Pacific marine ecosystems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2056","usgsCitation":"Shaffer, A., Parks, D., Schoen, E.R., and Beauchamp, D., 2019, Salmon, forage fish, and kelp: Frontiers in Ecology and the Environment, v. 17, no. 5, p. 258-258, https://doi.org/10.1002/fee.2056.","productDescription":"1 p.","startPage":"258","endPage":"258","ipdsId":"IP-103000","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":467573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2056","text":"Publisher Index Page"},{"id":366094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Anne","contributorId":168504,"corporation":false,"usgs":false,"family":"Shaffer","given":"Anne","email":"","affiliations":[],"preferred":false,"id":767573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parks, Dave","contributorId":217815,"corporation":false,"usgs":false,"family":"Parks","given":"Dave","email":"","affiliations":[{"id":39695,"text":"Coastal Watershed Institute PO Box 266 Port Angeles, Washington 98362","active":true,"usgs":false}],"preferred":false,"id":767574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":767575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767576,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216023,"text":"70216023 - 2019 - Modeling ash dispersal from future eruptions of Taupo supervolcano","interactions":[],"lastModifiedDate":"2020-11-04T01:14:42.675847","indexId":"70216023","displayToPublicDate":"2019-05-31T19:04:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Modeling ash dispersal from future eruptions of Taupo supervolcano","docAbstract":"Hazard analysis at caldera volcanoes is challenging due to the wide range of eruptive and environmental conditions that can plausibly occur during renewed activity. Taupo volcano, New Zealand, is a frequently active and productive rhyolitic caldera volcano that has hosted the world's youngest known supereruption and numerous smaller explosive events. To assess ashfall hazard from future eruptions, we have simulated atmospheric ash dispersal using the Ash3d model. We consider five eruption scenarios spanning magma volumes of 0.1–500 km3 and investigate the main factors governing ash dispersal in modern atmospheric conditions. Our results are examined in the context of regional synoptic weather patterns (Kidson types) that provide a framework for assessing the variability of ashfall distribution in different wind fields. For the smallest eruptions (~0.1‐km3 magma), ashfall thicknesses >1 cm are largely confined to the central North Island, with dispersal controlled by day‐to‐day weather and the dominance of westerly winds. With increasing eruptive volume (1–5‐km3 magma), ashfall thicknesses >1 cm would likely reach major population centers throughout the North Island. Dispersal is less dependent on weather patterns as the formation of a radially expanding umbrella cloud forces ash upwind or crosswind, although strong stratospheric winds significantly restrict umbrella spreading. For large eruptions (50–500‐km3 magma), powerful expansion of the umbrella cloud results in widespread ashfall at damaging thicknesses (>10 cm) across most of the North Island and top of the South Island. Synoptic climatology may prove a useful additional technique for long‐term hazard planning at caldera volcanoes.
Although development and urbanization are typically believed to have negative impacts on carnivoran species, some species can successfully navigate an urban matrix. Sympatric carnivorans compete for limited resources in urban areas, likely with system-specific impacts to their distributions and activity patterns. We used automatically triggered wildlife cameras to assess the local distribution and co-existence of Canis latrans (Coyote), Vulpes vulpes (Red Fox), and Urocyon cinereoargenteus (Gray Fox) across the Pioneer Valley, MA, in relation to different levels of human development. We placed cameras at 79 locations in forested, altered, and urban land-use areas from September to November 2012 and accumulated 1670 trap nights. We determined site characteristics and detection rates for 12 other wildlife species for each camera location to develop a generalized linear model for the local distribution of each focal canid species across the study area. We also compared diel activity patterns among Coyotes, Red Foxes, and Gray Foxes, and calculated coefficients of overlap between each pair. The local distribution of Coyotes was positively associated with the detection rates of their prey and not associated with detection rates of sympatric carnivoran species. Red Foxes and Gray Foxes had negative relationships with the detection rate of Coyotes, and none of the 3 canid species showed a positive correlation with increased levels of urbanization. There was a high degree of temporal overlap in diel activity patterns and limited spatial overlap of our focal species, which suggests that any competition avoidance across our study area occurred at the spatial level. Coyotes fill the role of top predator in the Pioneer Valley, and likely have a negative impact on the local distributions of smaller canids, while their own local distributions seem to be driven by prey availability.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.026.0208","usgsCitation":"LeFlore, E.G., Fuller, T.K., Finn, J.T., Organ, J.F., and DeStefano, S., 2019, Wild canid distribution and co-existence in a natural–urban matrix of the Pioneer Valley of Western Massachusetts: Northeastern Naturalist, v. 26, no. 2, p. 325-342, https://doi.org/10.1656/045.026.0208.","productDescription":"18 p.","startPage":"325","endPage":"342","ipdsId":"IP-070732","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":364399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachesetts","county":"Franklin County, Hampshire County","otherGeospatial":"Pioneer Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.58255004882812,\n 42.30067461858169\n ],\n [\n -72.38616943359375,\n 42.30067461858169\n ],\n [\n -72.38616943359375,\n 42.50551526821832\n ],\n [\n -72.58255004882812,\n 42.50551526821832\n ],\n [\n -72.58255004882812,\n 42.30067461858169\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LeFlore, Eric G.","contributorId":216045,"corporation":false,"usgs":false,"family":"LeFlore","given":"Eric","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":763749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Todd K.","contributorId":216046,"corporation":false,"usgs":true,"family":"Fuller","given":"Todd","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":763750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":763751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":763432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":763433,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203850,"text":"70203850 - 2019 - Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017","interactions":[],"lastModifiedDate":"2019-06-18T15:29:29","indexId":"70203850","displayToPublicDate":"2019-05-31T15:27:43","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017","docAbstract":"Whitebark pine (Pinus albicaulis) grows at high elevations and in subalpine communities in the Pacific Northwest and Northern Rocky Mountains. Limber pine (Pinus flexilis) occurs in western North America across a broad elevational gradient from the Canadian Rocky Mountains into parts of New Mexico and Arizona and from southern California eastward to the few, isolated populations existing on the western boundary of the Dakotas and Nebraska (Steele 1990, Schoettle and Rochelle 2000). Both of these five-needle pine species play a variety of ecological roles and are considered key components in the their environments. Currently, whitebark pine and limber pine are being impacted by multiple ecological disturbances. White pine blister rust, caused by the introduced fungus Cronartium ribicola, mountain pine beetle (Dendroctonus ponderosae), dwarf mistletoe (Arceuthobium spp.), wildfires, and drought all pose significant threats to the persistence of healthy five-needle populations. An effort was initiated in 2013 by the National Park Service and the Wyoming Bureau of Land Management (WYBLM) to evaluate and monitor the long-term health trajectory of five-needle pines on WYBLM lands within the Greater Yellowstone Ecosystem (GYE). With guidance from the Interagency Whitebark Pine Monitoring Program protocol, and employing a rapid assessment survey technique specifically designed for this endeavor, we monitored whitebark pine trees in 2013, 2014, 2016, 2017. We estimated the proportion of live, five-needle pine trees (>1.4 m tall) infected with white pine blister rust, documented blister rust infection severity by the occurrence and location of persisting and new infections, determined mortality of five-needle pine trees and described potential factors contributing to the death of trees, and assessed the multiple components of recruitment of understory five-needle pine into the reproductive population. White pine blister rust was widespread throughout WYBLM lands within the GYE. Using a combined ratio estimator we found that the proportion of live, >1.4 m tall five-needle pine trees infected with white pine blister rust was 0.156 (±0.054 SE; this estimate combines all surveyed trees). Bole cankers were 25% more prevalent than branch cankers in all five-needle pines observed. Mortality of surveyed trees on WYBLM lands was predominantly attributed to mountain pine beetle. For seedlings and saplings, a total of 4003 live, ≤1.4 m tall five-needle pines were documented. Cones or cone scars were recorded on 745 of the live trees. Of these reproducing trees, 44 were recorded with white pine blister rust infection. Long-term monitoring on five-needle pines on WYBLM lands will continue into the future.","language":"English","publisher":"National Park Service","usgsCitation":"Erin Shanahan, Kristin Legg, Daley, R., Irvine, K., Siri Wilmoth, and Jackson, J., 2019, Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017, 102 p.","productDescription":"102 p.","ipdsId":"IP-107458","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364730,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/DownloadFile/626202"}],"country":"United 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\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erin Shanahan","contributorId":216296,"corporation":false,"usgs":false,"family":"Erin Shanahan","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":764451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kristin Legg","contributorId":216297,"corporation":false,"usgs":false,"family":"Kristin Legg","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":764452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":172333,"corporation":false,"usgs":false,"family":"Daley","given":"Rob","email":"","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":764453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irvine, Kathryn","contributorId":216295,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":764450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siri Wilmoth","contributorId":173520,"corporation":false,"usgs":false,"family":"Siri Wilmoth","affiliations":[{"id":27240,"text":"Wilmoth Statistical Consulting, Gardiner, MT","active":true,"usgs":false}],"preferred":false,"id":764454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Joshua","contributorId":216298,"corporation":false,"usgs":false,"family":"Jackson","given":"Joshua","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":764455,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203690,"text":"70203690 - 2019 - Surrogate model development for coastal dune erosion under storm conditions","interactions":[],"lastModifiedDate":"2019-06-21T15:33:04","indexId":"70203690","displayToPublicDate":"2019-05-31T15:27:38","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Surrogate model development for coastal dune erosion under storm conditions","docAbstract":"Early coastal dune erosion predictions are essential to avoid potential flood consequences but most dune erosion numerical models are computationally expensive, hence their application in Early Warning Systems is limited. Here, based on a combination of optimally sampled synthetic sea storms with a calibrated and validated XBeach model, we develop a surrogate model capable of producing fast and accurate dune erosion predictions under storm conditions when water level and wave forecasts are available. The analysis is performed on Dauphin Island, AL, where we train Multiple Linear Regression Models with oceanographic forcing from the selected sea storms (i.e., XBeach input) and predicted changes in the dune system (i.e., XBeach output). Surrogate model performance is assessed with a rigorous k-fold cross validation. Although changes in the location of dune features are not well predicted, the model attains good performance when predicting changes in dune elevation, barrier-island width and volume.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 9th Coastal Sediments Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","doi":"10.1142/9789811204487_0116","usgsCitation":"Malagon-Santos, V., Wahl, T., Long, J.W., Passeri, D., and Plant, N.G., 2019, Surrogate model development for coastal dune erosion under storm conditions, in Proceedings of the 9th Coastal Sediments Conference, p. 1327-1339, https://doi.org/10.1142/9789811204487_0116.","productDescription":"13 p.","startPage":"1327","endPage":"1339","ipdsId":"IP-104933","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":364930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.3469009399414,\n 30.22377177047543\n ],\n [\n -88.07464599609375,\n 30.22377177047543\n ],\n [\n -88.07464599609375,\n 30.293164187062253\n ],\n [\n -88.3469009399414,\n 30.293164187062253\n ],\n [\n -88.3469009399414,\n 30.22377177047543\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagon-Santos, Victor","contributorId":216004,"corporation":false,"usgs":false,"family":"Malagon-Santos","given":"Victor","email":"","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":763629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, Thomas","contributorId":141017,"corporation":false,"usgs":false,"family":"Wahl","given":"Thomas","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":763630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W","contributorId":216005,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":763631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Passeri, Davina L. 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":763632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206426,"text":"70206426 - 2019 - Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska","interactions":[],"lastModifiedDate":"2019-11-04T11:49:31","indexId":"70206426","displayToPublicDate":"2019-05-31T11:48:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska","docAbstract":"The Cordilleran Ice sheet covered most of southeastern Alaska during the Last Glacial Interval (LGI: Marine Isotope Stage 2). Ice began to recede from western Alexander Archipelago ~17,000 + 700 yr BP. In this study pollen analysis and radiocarbon dating of three sediment cores were used to reconstruct, for the first time, the postglacial development of vegetation of the northwestern Alexander Archipelago during the past ~15,240 cal yr. Hummingbird Lake (HL), on southwestern Baranof Island, yielded a sediment core with one of the longest dated records from southeastern Alaska. The earliest part of the HL pollen record (~15,240-14,040 yr BP) indicates that the earliest vegetation was pine (Pinus contorta subsp. contorta) parkland with willows (Salix), heaths (Ericaceae), sedges (Cyperaceae), grasses (Poaceae), herbs and ferns. Starting at ~14,040 yr BP, alder (Alnus) rapidly colonized the area as pine populations declined. By 11,400 yr BP, Sitka spruce (Picea sitchensis) colonized the area, and soon became the dominant conifer. Mountain hemlock (Tsuga mertensiana) also colonized the area by ~11,400 yr BP, followed by western hemlock (Tsuga heterophylla) at ~10,200 yr BP. By ~9200 yr BP, western hemlock had become the dominant species in the area. During the late Holocene yellow cedar (Chamaecyparis nootkatensis) became established. Two marine sediment cores were also analyzed for pollen, with the oldest core from Lower Sitka Sound, between Kruzof and Baranof Islands. The lower part of the core consists of interlayered tephras and freshwater lake muds that are estimated to be ~13,150 to 14,000 yr BP. Pollen evidence indicates that the early postglacial vegetation around Sitka Sound was pine parkland with alders and abundant ferns. Damage to vegetation around Sitka Sound by volcanic eruptions is suggested by abrupt, large shifts in alder and pine pollen, and fern spores in samples adjacent to tephra layers. A marine sediment core from Slocum Arm, a fjord on the western coast of Chichagof Island, has a basal age of ~10,000 yr BP. The pollen record is similar to the Holocene pollen record at Hummingbird Lake. The sequence of vegetation changes interpreted from the three northwestern Alexander Archipelago pollen records are similar to those from other well-dated sites in southeastern Alaska, although chronologies differ between sites.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2019.00104","collaboration":"none","usgsCitation":"Ager, T.A., 2019, Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska: Frontiers in Earth Science, v. 7, p. 1-25, https://doi.org/10.3389/feart.2019.00104.","productDescription":"104, 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-103102","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":460373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00104","text":"Publisher Index Page"},{"id":368923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368904,"type":{"id":15,"text":"Index Page"},"url":"https://www.frontiersin.org/articles/10.3389/feart.2019.00104/full"}],"country":"United States","state":"Alaska","otherGeospatial":"Western coastal areas of northwestern Alexander Archipelago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140.09765625,\n 60.13056361691419\n ],\n [\n -140.9765625,\n 59.5343180010956\n ],\n [\n -133.4619140625,\n 54.1109429427243\n ],\n [\n -130.341796875,\n 55.32914440840507\n ],\n [\n -130.3857421875,\n 56.022948079627454\n ],\n [\n -132.5390625,\n 56.92099675839107\n ],\n [\n -132.626953125,\n 57.27904276497778\n ],\n [\n -134.912109375,\n 59.153403092050375\n ],\n [\n -135.615234375,\n 59.66774058164963\n ],\n [\n -137.197265625,\n 58.88194208135912\n ],\n [\n -137.76855468749997,\n 58.790978406215565\n ],\n [\n -139.3505859375,\n 60.28340847828243\n ],\n [\n -140.09765625,\n 60.13056361691419\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Ager, Thomas A. 0000-0002-5029-7581","orcid":"https://orcid.org/0000-0002-5029-7581","contributorId":220219,"corporation":false,"usgs":false,"family":"Ager","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":774506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70205810,"text":"70205810 - 2019 - Handbook to the partners in flight population estimates database, version 3.0","interactions":[],"lastModifiedDate":"2019-10-08T07:08:41","indexId":"70205810","displayToPublicDate":"2019-05-31T11:45:35","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5870,"text":"Partners in Flight Technical Publication","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"7","title":"Handbook to the partners in flight population estimates database, version 3.0","docAbstract":"This document describes the content of Version 3.0 of the Partners in Flight (PIF) Population Estimates Database, which provides population estimates for breeding USA/Canada landbirds at several geographic scales following the Partners in Flight approach described initially in Rich et al. (2004) and by Rosenberg and Blancher (2005) and most recently refined by Stanton et al. (2019). The Handbook also provides details about how the estimates were derived, information on limitations and caveats, a guide to using the estimates, and future desired directions for improving the estimates.\n\nThis version of the database is intended as a companion to the Partners in Flight Landbird Conservation Plan: 2016 Revision for Canada and Continental United States (Rosenberg et al. 2016), although estimates for most species included in the database have been updated from those used in the 2016 Plan. Most of the estimates in the database are based on North American Breeding Bird Survey (BBS) data for landbirds from the decade 2006–2015. The information in this 2019 Version of the Handbook, for Version 3.0 of the database, describes all changes that have been made to the database since 2007 (Version 1.0, cf. Blancher et al. 2007)—including the additions documented in the Handbook for Version 2.0 (Blancher et al. 2013)—and therefore serves as a single source document describing the current database.\n\nVersion 3.0 of the database addresses some of the recommendations suggested by Thogmartin et al. (2006) but does not yet fully address other limitations noted by Thogmartin et al. (2006), Blancher et al. (2007), Thogmartin (2010), Matsuoka et al. (2012), and Twedt (2015). By far, the most substantial change to the database comprises the incorporation of quantitative uncertainty bounds around population estimates for most species (see Stanton et al. 2019 for details). PIF Science anticipates that future versions of the database will occur in stages: first, improving elements of the basic PIF approach (e.g., incorporating more recent BBS data, updating Time of Day Adjustments, and refining Pair Adjustments); next, addressing additional concerns inherent in the PIF approach (e.g., replacing average maximum detection distance bins with research-derived species-specific effective detection radii); and later, perhaps replacing the sample-based PIF approach with a spatially-explicit, model-based (pixel-based) approach that more deliberately incorporates habitat and road biases and the proportion of birds available but not detected by current sampling methodology.\n\nThis current Version 3.1 of the Handbook updates citations in the Literature Cited and incorporates relatively minor improvements in text clarity over the previous 3.0 version. The content of the Population Estimates Database itself remains the same except for changes to the global and USA/Canada estimates for Northern Bobwhite and Black Vulture.","language":"English","publisher":"Partners in Flight and Bird Conservancy of the Rockies","usgsCitation":"Will, T., Stanton, J.C., Rosenberg, K.V., Panjabi, A.O., Camfield, A., Shaw, A., Thogmartin, W.E., and Blancher, P.J., 2019, Handbook to the partners in flight population estimates database, version 3.0: Partners in Flight Technical Publication 7, 38 p.","productDescription":"38 p.","ipdsId":"IP-106689","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":368039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368002,"type":{"id":15,"text":"Index Page"},"url":"https://pif.birdconservancy.org/PopEstimates/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Will, Tom","contributorId":149777,"corporation":false,"usgs":false,"family":"Will","given":"Tom","email":"","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":772445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":772444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberg, Kenneth V.","contributorId":171463,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":27615,"text":"Cornell Lab of Ornithology, Conservation Science Program","active":true,"usgs":false}],"preferred":false,"id":772446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Panjabi, Arvind O.","contributorId":169967,"corporation":false,"usgs":false,"family":"Panjabi","given":"Arvind","email":"","middleInitial":"O.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":772447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camfield, Alaine","contributorId":219517,"corporation":false,"usgs":false,"family":"Camfield","given":"Alaine","email":"","affiliations":[{"id":12590,"text":"Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":772448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaw, Allison","contributorId":219518,"corporation":false,"usgs":false,"family":"Shaw","given":"Allison","email":"","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":772449,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":772450,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blancher, Peter J.","contributorId":175182,"corporation":false,"usgs":false,"family":"Blancher","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":772451,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205618,"text":"70205618 - 2019 - Using a GIS to populate 3D geocellular geologic models","interactions":[],"lastModifiedDate":"2019-09-27T11:25:58","indexId":"70205618","displayToPublicDate":"2019-05-31T11:25:48","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Using a GIS to populate 3D geocellular geologic models","docAbstract":"No abstract available
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic Mapping Forum 2019 Abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geologic Mapping Forum","conferenceDate":"April 10-12, 2019","conferenceLocation":"Minneapolis, MN","language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Sweetkind, D., and Cromwell, G., 2019, Using a GIS to populate 3D geocellular geologic models, in Geologic Mapping Forum 2019 Abstracts, Minneapolis, MN, April 10-12, 2019, p. 86-87.","productDescription":"2 p.","startPage":"86","endPage":"87","ipdsId":"IP-105944","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":367779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367772,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/202386"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":771884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771885,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223409,"text":"70223409 - 2019 - Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales","interactions":[],"lastModifiedDate":"2021-08-27T13:17:55.770407","indexId":"70223409","displayToPublicDate":"2019-05-31T10:54:45","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales","docAbstract":"Shoreline variability over timescales ranging from days to decades is examined at NASA-Kennedy Space Center on the Atlantic coast of Florida. Three sources of shoreline position data are utilized to complete this analysis: hourly video-image observations, monthly Real Time Kinematic GPS observations, and historical aerial imagery dating back to 1943. We find that shoreline positions tend to respond coherently to monthly variations in wave energy, except during storm-driven shoreline change. A seasonal signal in shoreline behavior is also evident, however this signal becomes indiscernible after a rapid change in morphologic behavior following Hurricane Sandy’s impact in October 2012. Further, the spatial pattern of shoreline change following Sandy’s impact mimics decadal-scale trends, suggesting that response to large storms may be controlling decadal shoreline change behavior at this site.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal sediments 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0194","usgsCitation":"Conlin, M.P., Adams, P., Plant, N., Jaeger, J., and Mackenzie, R., 2019, Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales, in Coastal sediments 2019, Tampa/St. Petersburg, FL, May 27-31, 2019, p. 2268-2281, https://doi.org/10.1142/9789811204487_0194.","productDescription":"14 p.","startPage":"2268","endPage":"2281","ipdsId":"IP-105374","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":388546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -440.9046936035156,\n 28.396232711680433\n ],\n [\n -440.518798828125,\n 28.396232711680433\n ],\n [\n -440.518798828125,\n 28.843470765934224\n ],\n [\n -440.9046936035156,\n 28.843470765934224\n ],\n [\n -440.9046936035156,\n 28.396232711680433\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Conlin, Matthew P.","contributorId":239947,"corporation":false,"usgs":false,"family":"Conlin","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":821980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Peter N.","contributorId":264783,"corporation":false,"usgs":false,"family":"Adams","given":"Peter N.","affiliations":[{"id":34924,"text":"U. 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Florida","active":true,"usgs":false}],"preferred":false,"id":821984,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203939,"text":"70203939 - 2019 - Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park","interactions":[],"lastModifiedDate":"2019-06-25T10:49:47","indexId":"70203939","displayToPublicDate":"2019-05-31T10:49:40","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park","docAbstract":"We examined habitat use and foraging activity of the endangered Hawaiian hoary bat (Lasiurus cinereus semotus), as well as nocturnal aerial insect abundance at Kaloko-Honōkohau National Historical Park located in the coastal region of Kailua-Kona, Hawai‘i Island. We evaluated bat activity in two habitat types, wooded shorelines beside brackish water fishponds and xeric lava fields dominated by two invasive plant species: white leadwood (Leucaena leucocephala, Fabaceae), and fountain grass (Cenchrus setaceus, Poaceae). We recorded bat echolocation calls at seven acoustic stations that operated nightly from November 2013 through February 2015. Additionally, three UV light traps were used to collect insects at three locations from dusk to dawn in January, April, July and November 2014. Bat acoustic activity showed seasonal patterns in pulse counts, call-events, feeding buzzes and frequency of occurrence with three major peaks in bat echolocation activity in November–December 2013, April–May 2014, and August–December 2014. Overall, bat acoustic activity was greatest at the shoreline of Kaloko Fishpond. Although there were no significant differences in insect biomass among collection stations, Hawaiian hoary bats use the Park as an important foraging habitat.","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","usgsCitation":"Montoya-Aiona, K., Pinzari, C., and Bonaccorso, F.J., 2019, Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park, 32 p.","productDescription":"32 p.","ipdsId":"IP-107487","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":365006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364942,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/4598"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokohau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.03495597839355,\n 19.683323713331085\n ],\n [\n -156.0329818725586,\n 19.679686975321534\n ],\n [\n -156.03057861328125,\n 19.67847471097097\n ],\n [\n -156.02783203124997,\n 19.6770199816421\n ],\n [\n -156.02620124816895,\n 19.67289817681867\n ],\n [\n -156.02740287780762,\n 19.67095846727654\n ],\n [\n -156.02808952331543,\n 19.670392714238027\n ],\n [\n -156.02474212646484,\n 19.670796823755015\n ],\n [\n -156.0161590576172,\n 19.67225160957976\n ],\n [\n -156.02002143859863,\n 19.67960615798355\n ],\n [\n -156.02070808410645,\n 19.68469757064597\n ],\n [\n -156.02242469787598,\n 19.689869633655256\n ],\n [\n -156.02482795715332,\n 19.693344519658552\n ],\n [\n -156.03650093078613,\n 19.689950445814254\n ],\n [\n -156.03495597839355,\n 19.683323713331085\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Montoya-Aiona, Kristina 0000-0002-1776-5443 kmontoya-aiona@usgs.gov","orcid":"https://orcid.org/0000-0002-1776-5443","contributorId":5899,"corporation":false,"usgs":true,"family":"Montoya-Aiona","given":"Kristina","email":"kmontoya-aiona@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":764849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinzari, Corinna A. 0000-0001-9794-7564","orcid":"https://orcid.org/0000-0001-9794-7564","contributorId":208455,"corporation":false,"usgs":false,"family":"Pinzari","given":"Corinna A.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":764850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonaccorso, Frank J 0000-0002-5490-3083","orcid":"https://orcid.org/0000-0002-5490-3083","contributorId":216486,"corporation":false,"usgs":false,"family":"Bonaccorso","given":"Frank","email":"","middleInitial":"J","affiliations":[{"id":39456,"text":"USGS-PIERC (formerly)","active":true,"usgs":false}],"preferred":false,"id":764851,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}