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Inland bathymetry survey collections, survey data types, features, sources, availability, and the effort required to integrate inland bathymetric data into the U.S. Geological Survey 3D Elevation Program are assessed to help determine the feasibility of integrating three-dimensional water feature elevation data into The National Map. Available data from wading, acoustic, light detection and ranging, and combined technique surveys are provided by the U.S. Geological Survey, National Oceanic and Atmospheric Administration, U.S. Army Corps of Engineers, and other sources. Inland bathymetric data accessed through Web-hosted resources or contacts provide useful baseline parameters for evaluating survey types and techniques used for collection and processing, and serve as a basis for comparing survey methods and the quality of results. Historically, boat-mounted acoustic surveys have provided most inland bathymetry data. Light detection and ranging techniques that are beneficial in areas hard to reach by boat, that can collect dense data in shallow water to provide comprehensive coverage, and that can be cost effective for surveying large areas with good water clarity are becoming more common; however, optimal conditions and techniques for collecting and processing light detection and ranging inland bathymetry surveys are not yet well defined.
Assessment of site condition parameters important for understanding inland bathymetry survey issues and results, and an evaluation of existing inland bathymetry survey coverage are proposed as steps to develop criteria for implementing a useful and successful inland bathymetry survey plan in the 3D Elevation Program. These survey parameters would also serve as input for an inland bathymetry survey data baseline. Integration and interpolation techniques are important factors to consider in developing a robust plan; however, available survey data are usually in a triangulated irregular network format or other format compatible with the 3D Elevation Program so that data can be integrated with a minimal level of effort. Geomorphic site conditions are known to affect the success and accuracy of light detection and ranging and other bathymetric surveys, and a baseline that includes geomorphic data is recommended to help in evaluation of limitations imposed by geomorphology for surveys completed in the variable physiographic provinces across the United States. The geographic distribution for existing surveys identifies regions where inland bathymetry data have been collected and, conversely, where little or no survey data seem to be available to provide hydrologic and hydraulic information. This distribution, in conjunction with local to regional data needs to characterize and monitor river and lake resources, provides another important set of criteria to propose and guide acquisition of new bathymetry data for the 3D Elevation Program. An initial evaluation of needs can be based on the importance of water resources that provide primary water supplies for communities, agriculture, energy, and ecological systems; the importance of flood plain analyses; and projected population growth across the United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161126","usgsCitation":"Miller-Corbett, Cynthia, 2016, Evaluating integration of inland bathymetry in the U.S. Geological Survey 3D Elevation Program, 2014: U.S. Geological Survey Open-File Report 2016–1126, 44 p., https://dx.doi.org/10.3133/ofr20161126.\n","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-065698","costCenters":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":328148,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1126/coverthb.jpg"},{"id":328149,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1126/ofr20161126.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1126"}],"contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Waterbird survival rates are a key component of demographic modeling used for effective conservation of long-lived threatened species. The Swan Goose (Anser cygnoides) is globally threatened and the most vulnerable goose species endemic to East Asia due to its small and rapidly declining population. To address a current knowledge gap in demographic parameters of the Swan Goose, available datasets were compiled from neck-collar resighting and telemetry studies, and two different models were used to estimate their survival rates. Results of a mark-resighting model using 15 years of neck-collar data (2001–2015) provided age-dependent survival rates and season-dependent encounter rates with a constant neck-collar retention rate. Annual survival rate was 0.638 (95% CI: 0.378–0.803) for adults and 0.122 (95% CI: 0.028–0.286) for first-year juveniles. Known-fate models were applied to the single season of telemetry data (autumn 2014) and estimated a mean annual survival rate of 0.408 (95% CI: 0.152–0.670) with higher but non-significant differences for adults (0.477) vs. juveniles (0.306). Our findings indicate that Swan Goose survival rates are comparable to the lowest rates reported for European or North American goose species. Poor survival may be a key demographic parameter contributing to their declining trend. Quantitative threat assessments and associated conservation measures, such as restricting hunting, may be a key step to mitigate for their low survival rates and maintain or enhance their population.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0307","usgsCitation":"Choi, C., Lee, K., Poyarkov, N.D., Park, J., Lee, H., Takekawa, J.Y., Smith, L.M., Ely, C.R., Wang, X., Cao, L., Fox, A.D., Goroshko, O., Batbayar, N., Prosser, D.J., and Xiao, X., 2016, Low survival rates of Swan Geese (Anser cygnoides) estimated from neck-collar resighting and telemetry: Waterbirds, v. 39, no. 3, p. 277-286, https://doi.org/10.1675/063.039.0307.","productDescription":"10 p.","startPage":"277","endPage":"286","ipdsId":"IP-075702","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":335672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Mongolia, Russia, South Korea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 112.06054687499999,\n 30.675715404167743\n ],\n [\n 141.6796875,\n 30.675715404167743\n ],\n [\n 141.6796875,\n 55.07836723201515\n ],\n [\n 112.06054687499999,\n 55.07836723201515\n ],\n [\n 112.06054687499999,\n 30.675715404167743\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c831e4b025c46428628a","contributors":{"authors":[{"text":"Choi, Chang-Yong","contributorId":181784,"corporation":false,"usgs":false,"family":"Choi","given":"Chang-Yong","email":"","affiliations":[],"preferred":false,"id":669515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Ki-Sup","contributorId":181785,"corporation":false,"usgs":false,"family":"Lee","given":"Ki-Sup","email":"","affiliations":[],"preferred":false,"id":669516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poyarkov, Nikolay D.","contributorId":181786,"corporation":false,"usgs":false,"family":"Poyarkov","given":"Nikolay","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":669517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Park, Jin-Young","contributorId":181787,"corporation":false,"usgs":false,"family":"Park","given":"Jin-Young","email":"","affiliations":[],"preferred":false,"id":669518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Hansoo","contributorId":181788,"corporation":false,"usgs":false,"family":"Lee","given":"Hansoo","email":"","affiliations":[],"preferred":false,"id":669519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":669520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Lacy M. 0000-0001-6733-1080 lmsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6733-1080","contributorId":4772,"corporation":false,"usgs":true,"family":"Smith","given":"Lacy","email":"lmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":669521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":669522,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, Xin","contributorId":177411,"corporation":false,"usgs":false,"family":"Wang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":669523,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cao, Lei","contributorId":181789,"corporation":false,"usgs":false,"family":"Cao","given":"Lei","email":"","affiliations":[],"preferred":false,"id":669524,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":669525,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Goroshko, Oleg","contributorId":181790,"corporation":false,"usgs":false,"family":"Goroshko","given":"Oleg","email":"","affiliations":[],"preferred":false,"id":669526,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Batbayar, Nyambaya","contributorId":181791,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambaya","affiliations":[],"preferred":false,"id":669527,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":669514,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":669528,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70174861,"text":"70174861 - 2016 - Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing","interactions":[],"lastModifiedDate":"2016-09-08T10:14:22","indexId":"70174861","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing","docAbstract":"The Chicago Area Waterway System (CAWS) includes the Chicago Sanitary and Ship Canal (CSSC) and the Calumet-Sag Channel (Cal-Sag), the two primary, man-made connections between the Mississippi River Basin and the Great Lakes. The U.S. Geological Survey (USGS) monitors diversion of Great Lakes water at a streamgage just downstream of the confluence of the CSSC and Cal-Sag (known as Sag Junction). Previous studies have explored the complex hydrodynamics in the CAWS near Sag Junction and at the USGS streamgage near Lemont, Illinois. The current study explores the mixing at Sag Junction which can be purely advection-driven or driven by density differences between the two branches. The current study simulates and analyzes two cases: 1) the density of water in CSSC is greater than in the Cal-Sag, 2) the density of the CSSC water is less than in the Cal-Sag. The density difference between the branches was found to play a major role in influencing the mixing process compared with purely advection-driven mixing. Density differences created near-bed gravity currents, some of which\r\nintruded upstream into the CSSC or Cal-Sag creating bi-directional flows. The phenomenon of double plunging was observed, along with formation of a recirculation zone between the two plunging fronts. Local mixing at the confluence was enhanced by density differences between the two channels, but mixing downstream from the confluence was impeded due to formation of a stabilizing stratification.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the International Conference on Fluvial Hydraulics (River Flows 2016)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Fluvial Hydraulics (River Flows 2016)","conferenceDate":"July 11-14, 2016","conferenceLocation":"Iowa City, IA","language":"English","publisher":"CRC Press","isbn":"9781138029132","usgsCitation":"Wang, D., Dudda, S., Jackson, P., and Garcia, M., 2016, Three-dimensional numerical modeling of mixing at the junction of the Calumet-Sag Channel and the Chicago Sanitary and Ship Canal: A comparison between density-driven and advection-driven mixing, in Proceedings of the International Conference on Fluvial Hydraulics (River Flows 2016), Iowa City, IA, July 11-14, 2016, p. 1587-1595.","productDescription":"9 p.","startPage":"1587","endPage":"1595","ipdsId":"IP-072509","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":328351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325420,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/River-Flow-2016-Iowa-City-USA-July-11-14-2016/Constantinescu-Garcia-Hanes/p/book/9781138029132"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bafe4b0571647d0f94e","contributors":{"editors":[{"text":"Constantinescu, George","contributorId":174167,"corporation":false,"usgs":false,"family":"Constantinescu","given":"George","email":"","affiliations":[{"id":7241,"text":"IIHR-Hydroscience and Engineering, Department of Civil and Environmental Engineering, The University of Iowa","active":true,"usgs":false}],"preferred":false,"id":648318,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":648319,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hanes, Dan","contributorId":174168,"corporation":false,"usgs":false,"family":"Hanes","given":"Dan","email":"","affiliations":[{"id":12995,"text":"Department of Earth and Atmospheric Sciences, Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":648320,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wang, Dongchen","contributorId":172975,"corporation":false,"usgs":false,"family":"Wang","given":"Dongchen","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":642861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudda, Som","contributorId":172976,"corporation":false,"usgs":false,"family":"Dudda","given":"Som","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":642862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":169284,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":642863,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171464,"text":"70171464 - 2016 - First steps for mitigating bycatch of Pink-footed Shearwaters Ardenna creatopus: Identifying overlap of foraging areas and fisheries in Chile","interactions":[],"lastModifiedDate":"2016-09-08T11:49:42","indexId":"70171464","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"First steps for mitigating bycatch of Pink-footed Shearwaters Ardenna creatopus: Identifying overlap of foraging areas and fisheries in Chile","docAbstract":"The Pink-footed Shearwater, Ardenna creatopus, is listed as in danger of extinction by Chile and under Annex 1 of ACAP, with an estimated global population of approximately 56,000 individuals. Incidental bycatch of this species in fisheries is thought to be an important cause in population decline (i.e. annual estimated mortality of >1000 adults).\r\nThis species is an endemic breeder in Chile, nesting only on the Juan Fernandez Archipelago (JFI; 30% of global population), and Isla Mocha (70% of global population). Using miniature GPS and satellite transmitters, we determined foraging areas of Pink-footed Shearwaters during the chick-rearing period in 2002 (JFI) and 2015-2016 (Isla Mocha). We overlaid shearwater tracking data with data from the Instituto de Fomento Pesquero (IFOP) on fishing effort in Chile (type of fishery, number sets per day, location of sets, and target species) to identify fisheries and fishing zones with the greatest potential for Pink-footed Shearwater bycatch.\r\nDuring the 2002-2006 (N = 28 birds total) and 2015 (N = 18 birds) breeding periods, foraging areas were associated with the continental shelf and shelf-break, generally less than 30 km offshore. All foraging trips occurred between 31.5 and 40.0 degrees south, and birds remained in Chile territorial waters 100% of the time. We identified two primary foraging hotspots, one offshore near Talcahuano, Chile (approximately 36-37.5° south), and one offshore north of Valdivia, Chile (approximately 39-39.5° south). Birds tracked from the Juan Fernández Archipelago foraged in the Talcahuano hotspot but did not visit the southerly hotspot near Valdivia. Birds tracked from Isla Mocha used both areas, with a greater proportion of birds using the Valdivia hotspot than the Talcahuano hotspot. Other major areas of use were around the respective breeding colonies from which the birds were tracked.\r\nOverlay of these data with fisheries data is currently in progress. Preliminary results indicate extensive overlap of Pink-footed Shearwater foraging grounds with industrial and artisanal purse-seine fisheries within Chile, representing a significant risk of bycatch. Further work could be initiated to track Pink-footed Shearwaters during other life-stages (i.e. pre-breeding and incubation), and would enhance collaborative efforts with fisheries managers and fishers concerned with mitigating bycatch.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Seventh Meeting of the Seabird Bycatch Working Group","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh Meeting of the Seabird Bycatch Working Group","conferenceDate":"May 2-4, 2016","conferenceLocation":"La Serena, Chile","language":"English","publisher":"Agreement on the Conservation of Albatroses and Petrels","usgsCitation":"Carle, R., Felis, J.J., López, V., Adams, J., Hodum, P., Beck, J., Colodro, V., Vega, R., and Gonzalez, A., 2016, First steps for mitigating bycatch of Pink-footed Shearwaters Ardenna creatopus: Identifying overlap of foraging areas and fisheries in Chile, in Seventh Meeting of the Seabird Bycatch Working Group, La Serena, Chile, May 2-4, 2016.","ipdsId":"IP-075469","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321940,"type":{"id":15,"text":"Index Page"},"url":"https://www.acap.aq/en/search14?q=First+steps+for+mitigating+bycatch+of+Pink-footed+Shearwaters+Ardenna+creatopus%3A+Identifying+overlap+of+foraging+areas+and+fisheries+in+Chile"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bade4b0571647d0f930","contributors":{"authors":[{"text":"Carle, Ryan 0000-0002-8213-4306","orcid":"https://orcid.org/0000-0002-8213-4306","contributorId":169799,"corporation":false,"usgs":false,"family":"Carle","given":"Ryan","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":631100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"López, Verónica","contributorId":169800,"corporation":false,"usgs":false,"family":"López","given":"Verónica","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":631098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodum, Peter 0000-0003-2160-5132","orcid":"https://orcid.org/0000-0003-2160-5132","contributorId":169797,"corporation":false,"usgs":false,"family":"Hodum","given":"Peter","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Jessie","contributorId":169807,"corporation":false,"usgs":false,"family":"Beck","given":"Jessie","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colodro, Valentina 0000-0001-9285-3171","orcid":"https://orcid.org/0000-0001-9285-3171","contributorId":169798,"corporation":false,"usgs":false,"family":"Colodro","given":"Valentina","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631104,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vega, Rodrigo","contributorId":169808,"corporation":false,"usgs":false,"family":"Vega","given":"Rodrigo","email":"","affiliations":[{"id":25600,"text":"Instituto de Fomento Pesquero","active":true,"usgs":false}],"preferred":false,"id":631105,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gonzalez, Andres","contributorId":169809,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Andres","email":"","affiliations":[{"id":25600,"text":"Instituto de Fomento Pesquero","active":true,"usgs":false}],"preferred":false,"id":631106,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195835,"text":"70195835 - 2016 - Estimating microcystin levels at recreational sites in western Lake Erie and Ohio","interactions":[],"lastModifiedDate":"2018-03-07T10:40:01","indexId":"70195835","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Estimating microcystin levels at recreational sites in western Lake Erie and Ohio","docAbstract":"Cyanobacterial harmful algal blooms (cyanoHABs) and associated toxins, such as microcystin, are a major global water-quality issue. Water-resource managers need tools to quickly predict when and where toxin-producing cyanoHABs will occur. This could be done by using site-specific models that estimate the potential for elevated toxin concentrations that cause public health concerns. With this study, samples were collected at three Ohio lakes to identify environmental and water-quality factors to develop linear-regression models to estimate microcystin levels. Measures of the algal community (phycocyanin, cyanobacterial biovolume, and cyanobacterial gene concentrations) and pH were most strongly correlated with microcystin concentrations. Cyanobacterial genes were quantified for general cyanobacteria, general Microcystis and Dolichospermum, and for microcystin synthetase (mcyE) for Microcystis, Dolichospermum, and Planktothrix. For phycocyanin, the relations were different between sites and were different between hand-held measurements on-site and nearby continuous monitor measurements for the same site. Continuous measurements of parameters such as phycocyanin, pH, and temperature over multiple days showed the highest correlations to microcystin concentrations. The development of models with high R2values (0.81–0.90), sensitivities (92%), and specificities (100%) for estimating microcystin concentrations above or below the Ohio Recreational Public Health Advisory level of 6 μg L−1 was demonstrated for one site; these statistics may change as more data are collected in subsequent years. This study showed that models could be developed for estimates of exceeding a microcystin threshold concentration at a recreational freshwater lake site, with potential to expand their use to provide relevant public health information to water resource managers and the public for both recreational and drinking waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2016.07.003","usgsCitation":"Francy, D.S., Brady, A.M., Ecker, C.D., Graham, J.L., Stelzer, E.A., Struffolino, P., and Loftin, K.A., 2016, Estimating microcystin levels at recreational sites in western Lake Erie and Ohio: Harmful Algae, v. 58, p. 23-34, https://doi.org/10.1016/j.hal.2016.07.003.","productDescription":"12 p.","startPage":"23","endPage":"34","ipdsId":"IP-068433","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":352264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie","volume":"58","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee98be4b0da30c1bfc568","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ecker, Christopher D. 0000-0003-0353-5855 cdecker@usgs.gov","orcid":"https://orcid.org/0000-0003-0353-5855","contributorId":149530,"corporation":false,"usgs":true,"family":"Ecker","given":"Christopher","email":"cdecker@usgs.gov","middleInitial":"D.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":730221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Struffolino, Pamela","contributorId":202922,"corporation":false,"usgs":false,"family":"Struffolino","given":"Pamela","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":730219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":730223,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70185230,"text":"70185230 - 2016 - Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins","interactions":[],"lastModifiedDate":"2017-03-16T12:45:43","indexId":"70185230","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins","docAbstract":"The Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri is native to the Rocky Mountains and has declined in abundance and distribution as a result of habitat degradation and introduced salmonid species. Many of its remaining strongholds are in headwater basins with minimal human disturbances. Understanding the life histories, vital rates, and behaviors of Yellowstone Cutthroat Trout within headwater stream networks remains limited yet is critical for effective management and conservation. We estimated annual relative growth in length and weight, annual survival rates, and movement patterns of Yellowstone Cutthroat Trout from three tributaries of Spread Creek, Wyoming, and two tributaries of Shields River, Montana, from 2011 through 2013 using PIT tag antennas within a mark–recapture framework. Mean annual growth rates varied among tributaries and size-classes, but were slow compared with populations of Yellowstone Cutthroat Trout from large, low-elevation streams. Survival rates were relatively high compared with those of other Cutthroat Trout subspecies, but we found an inverse relationship between survival and size, a pattern contrary to what has been reported for Cutthroat Trout in large streams. Mean annual survival rates ranged from 0.32 (SE = 0.04) to 0.68 (SE = 0.05) in the Spread Creek basin and from 0.30 (SE = 0.07) to 0.69 (SE = 0.10) in the Shields River basin. Downstream movements from tributaries were substantial, with as much as 26.5% of a tagging cohort leaving over the course of the study. Integrating our growth, survival, and movement results demonstrates the importance of considering strategies to enhance headwater stream habitats and highlights the importance of connectivity with larger stream networks.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1206643","usgsCitation":"Uthe, P., Al-Chokhachy, R.K., Zale, A.V., Shepard, B.B., McMahon, T., and Stephens, T., 2016, Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins: North American Journal of Fisheries Management, v. 36, no. 6, p. 1240-1253, https://doi.org/10.1080/02755947.2016.1206643.","productDescription":"14 p.","startPage":"1240","endPage":"1253","ipdsId":"IP-076407","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":337749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"58cba41be4b0849ce97dc746","contributors":{"authors":[{"text":"Uthe, Patrick","contributorId":189424,"corporation":false,"usgs":false,"family":"Uthe","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":684806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":684805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":684808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":684809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephens, Tracy","contributorId":189426,"corporation":false,"usgs":false,"family":"Stephens","given":"Tracy","email":"","affiliations":[],"preferred":false,"id":684810,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188438,"text":"70188438 - 2016 - Holocene climate changes in eastern Beringia (NW North America) – A systematic review of multi-proxy evidence","interactions":[],"lastModifiedDate":"2017-06-09T14:10:37","indexId":"70188438","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Holocene climate changes in eastern Beringia (NW North America) – A systematic review of multi-proxy evidence","docAbstract":"Reconstructing climates of the past relies on a variety of evidence from a large number of sites to capture the varied features of climate and the spatial heterogeneity of climate change. This review summarizes available information from diverse Holocene paleoenvironmental records across eastern Beringia (Alaska, westernmost Canada and adjacent seas), and it quantifies the primary trends of temperature- and moisture-sensitive records based in part on midges, pollen, and biogeochemical indicators (compiled in the recently published Arctic Holocene database, and updated here to v2.1). The composite time series from these proxy records are compared with new summaries of mountain-glacier and lake-level fluctuations, terrestrial water-isotope records, sea-ice and sea-surface-temperature analyses, and peatland and thaw-lake initiation frequencies to clarify multi-centennial- to millennial-scale trends in Holocene climate change. To focus the synthesis, the paleo data are used to frame specific questions that can be addressed with simulations by Earth system models to investigate the causes and dynamics of past and future climate change. This systematic review shows that, during the early Holocene (11.7–8.2 ka; 1 ka = 1000 cal yr BP), rather than a prominent thermal maximum as suggested previously, temperatures were highly variable, at times both higher and lower than present (approximate mid-20th-century average), with no clear spatial pattern. Composited pollen, midge and other proxy records average out the variability and show the overall lowest summer and mean-annual temperatures across the study region during the earliest Holocene, followed by warming over the early Holocene. The sparse data available on early Holocene glaciation show that glaciers in southern Alaska were as extensive then as they were during the late Holocene. Early Holocene lake levels were low in interior Alaska, but moisture indicators show pronounced differences across the region. The highest frequency of both peatland and thaw-lake initiation ages also occurred during the early Holocene. During the middle Holocene (8.2–4.2 ka), glaciers retreated as the regional average temperature increased to a maximum between 7 and 5 ka, as reflected in most proxy types. Following the middle Holocene thermal maximum, temperatures decreased starting between 4 and 3 ka, signaling the onset of Neoglacial cooling. Glaciers in the Brooks and Alaska Ranges advanced to their maximum Holocene extent as lakes generally rose to modern levels. Temperature differences for averaged 500-year time steps typically ranged by 1–2 °C for individual records in the Arctic Holocene database, with a transition to a cooler late Holocene that was neither abrupt nor spatially coherent. The longest and highest-resolution terrestrial water isotope records previously interpreted to represent changes in the Aleutian low-pressure system around this time are here shown to be largely contradictory. Furthermore, there are too few records with sufficient resolution to identify sub-centennial-scale climate anomalies, such as the 8.2 ka event. The review concludes by suggesting some priorities for future paleoclimate research in the region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2015.10.021","usgsCitation":"Kaufman, D.S., Axford, Y.L., Henderson, A.C., McKay, N.P., Oswald, W., Saenger, C., Anderson, R., Bailey, H.L., Clegg, B., Gajewski, K., Hu, F.S., Jones, M.C., Massa, C., Routson, C.C., Werner, A., Wooller, M.J., and Yu, Z., 2016, Holocene climate changes in eastern Beringia (NW North America) – A systematic review of multi-proxy evidence: Quaternary Science Reviews, v. 147, p. 312-339, https://doi.org/10.1016/j.quascirev.2015.10.021.","productDescription":"28 p.","startPage":"312","endPage":"339","ipdsId":"IP-068458","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":470606,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2015.10.021","text":"Publisher Index Page"},{"id":342340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"147","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593bb3a0e4b0764e6c60e7b4","contributors":{"authors":[{"text":"Kaufman, Darrell S.","contributorId":192787,"corporation":false,"usgs":false,"family":"Kaufman","given":"Darrell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":697736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Axford, Yarrow L.","contributorId":192788,"corporation":false,"usgs":false,"family":"Axford","given":"Yarrow","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":697737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Andrew C.G.","contributorId":192789,"corporation":false,"usgs":false,"family":"Henderson","given":"Andrew","email":"","middleInitial":"C.G.","affiliations":[],"preferred":false,"id":697738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKay, Nicolas P.","contributorId":192790,"corporation":false,"usgs":false,"family":"McKay","given":"Nicolas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":697739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oswald, W. Wyatt","contributorId":192791,"corporation":false,"usgs":false,"family":"Oswald","given":"W. Wyatt","affiliations":[],"preferred":false,"id":697740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saenger, Casey","contributorId":192792,"corporation":false,"usgs":false,"family":"Saenger","given":"Casey","email":"","affiliations":[],"preferred":false,"id":697741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":697742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bailey, Hannah L.","contributorId":192793,"corporation":false,"usgs":false,"family":"Bailey","given":"Hannah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":697743,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clegg, Benjamin","contributorId":192794,"corporation":false,"usgs":false,"family":"Clegg","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":697744,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gajewski, Konrad","contributorId":192795,"corporation":false,"usgs":false,"family":"Gajewski","given":"Konrad","email":"","affiliations":[],"preferred":false,"id":697745,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hu, Feng Sheng","contributorId":192796,"corporation":false,"usgs":false,"family":"Hu","given":"Feng","email":"","middleInitial":"Sheng","affiliations":[],"preferred":false,"id":697746,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697735,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Massa, Charly","contributorId":192797,"corporation":false,"usgs":false,"family":"Massa","given":"Charly","email":"","affiliations":[],"preferred":false,"id":697747,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Routson, Cody C. 0000-0001-8694-7809","orcid":"https://orcid.org/0000-0001-8694-7809","contributorId":187600,"corporation":false,"usgs":false,"family":"Routson","given":"Cody","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697748,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Werner, Al","contributorId":192798,"corporation":false,"usgs":false,"family":"Werner","given":"Al","email":"","affiliations":[],"preferred":false,"id":697749,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wooller, Matthew J.","contributorId":192799,"corporation":false,"usgs":false,"family":"Wooller","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":697750,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yu, Zicheng 0000-0003-2358-2712","orcid":"https://orcid.org/0000-0003-2358-2712","contributorId":147521,"corporation":false,"usgs":false,"family":"Yu","given":"Zicheng","email":"","affiliations":[{"id":16857,"text":"Lehigh Univ.","active":true,"usgs":false}],"preferred":false,"id":697751,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70187245,"text":"70187245 - 2016 - Proximate influences on female dispersal in white-tailed deer","interactions":[],"lastModifiedDate":"2017-04-28T13:23:19","indexId":"70187245","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Proximate influences on female dispersal in white-tailed deer","docAbstract":"Ultimate causes of animal dispersal have been hypothesized to benefit the dispersing individual because dispersal reduces competition for local resources, potential for inbreeding, and competition for breeding partners. However, proximate cues influence important features of dispersal behavior, including when dispersal occurs, how long it lasts, and direction, straightness, and distance of the dispersal path. Therefore, proximate cues that affect dispersal influence ecological processes (e.g., population dynamics, disease transmission, gene flow). We captured and radio-marked 277 juvenile female white-tailed deer (Odocoileus virginianus), of which 27 dispersed, to evaluate dispersal behavior and to determine proximate cues that may influence dispersal behavior. Female dispersal largely occurred at 1 year of age and coincided with the fawning season. Dispersal paths varied but generally were non-linear and prolonged. Physical landscape features (i.e., roadways, rivers, residential areas) influenced dispersal path direction and where dispersal terminated. Additionally, forays outside of the natal range that did not result in dispersal occurred among 52% of global positioning system (GPS)-collared deer (n = 25) during the dispersal period. Our results suggest intra-specific social interactions and physical landscape features influence dispersal behavior in female deer. Female dispersal behavior, particularly the lack of directionality, the semi-permeable nature of physical barriers, and the frequency of forays outside of the natal range, should be considered in regard to population management and controlling the spread of disease.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21106","usgsCitation":"Lutz, C.L., Diefenbach, D.R., and Rosenberry, C.S., 2016, Proximate influences on female dispersal in white-tailed deer: Journal of Wildlife Management, v. 80, no. 7, p. 1218-1226, https://doi.org/10.1002/jwmg.21106.","productDescription":"9 p.","startPage":"1218","endPage":"1226","ipdsId":"IP-068542","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"80","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-10","publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc232","contributors":{"authors":[{"text":"Lutz, Clayton L.","contributorId":171653,"corporation":false,"usgs":false,"family":"Lutz","given":"Clayton","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Christopher S.","contributorId":171633,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188107,"text":"70188107 - 2016 - Terrestrial vegetation monitoring protocol for the Mediterranean Coast Network—Cabrillo National Monument, Channel Islands National Park, and Santa Monica Mountains National Recreation Area: Standard Operating Procedures, Version 1.0","interactions":[],"lastModifiedDate":"2017-06-02T11:59:08","indexId":"70188107","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/MEDN/NRR—2016/1261","title":"Terrestrial vegetation monitoring protocol for the Mediterranean Coast Network—Cabrillo National Monument, Channel Islands National Park, and Santa Monica Mountains National Recreation Area: Standard Operating Procedures, Version 1.0","docAbstract":"These Standard Operating Procedures are one part of a two-part protocol for monitoring terrestrial vegetation in the Mediterranean Coast Network. The second part of the protocol is the narrative:
Tiszler, J., D. Rodriguez, K. Lombardo, T. Sagar, L. Aguilar, L. Lee, T. Handley, K. McEachern, L. Starcevich, M. Witter, T. Philippi, and S. Ostermann-Kelm. 2016. Terrestrial vegetation monitoring protocol for the Mediterranean Coast Network—Cabrillo National Monument, Channel Islands National Park, and Santa Monica Mountains National Recreation Area: Narrative, version 1.0. Natural Resource Report NPS/MEDN/NRR—2016/1296. National Park Service, Fort Collins, Colorado.
National parks in the Mediterranean Inventory and Monitoring Network:
Cabrillo National Monument (CABR)
Channel Islands National Park (CHIS)
Santa Monica Mountains National Recreation Area (SAMO)
The concentration of carbon dioxide (CO2) in the atmosphere has dramatically increased from the start of the industrial revolution in the mid-1700s to present levels exceeding 400 ppm. Carbon dioxide derived from fossil fuel combustion is a greenhouse gas and a major contributor to on-going climate change. Carbon and oxygen stable isotope geochemistry is a useful tool to help model and predict the contributions of anthropogenic sources of CO2 in the global carbon cycle. Surprisingly few studies have addressed the carbon and oxygen isotopic composition of CO2 derived from coal combustion. The goal of this study is to document the relationships between the carbon and oxygen isotope signatures of coal and signatures of the CO2 produced from laboratory coal combustion in atmospheric conditions.
Six coal samples were selected that represent various geologic ages (Carboniferous to Tertiary) and coal ranks (lignite to bituminous). Duplicate splits of the six coal samples were ignited and partially combusted in the laboratory at atmospheric conditions. The resulting coal-combustion gases were collected and the molecular composition of the collected gases and isotopic analyses of δ13C of CO2, δ13C of CH4, and δ18O of CO2 were analysed by a commercial laboratory. Splits (~ 1 g) of the un-combusted dried ground coal samples were analyzed for δ13C and δ18O by the U.S. Geological Survey Reston Stable Isotope Laboratory.
The major findings of this preliminary work indicate that the isotopic signatures of δ13C (relative to the Vienna Pee Dee Belemnite scale, VPDB) of CO2 resulting from coal combustion are similar to the δ13CVPDB signature of the bulk coal (− 28.46 to − 23.86 ‰) and are not similar to atmospheric δ13CVPDB of CO2 (~ − 8 ‰, see http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html). The δ18O values of bulk coal are strongly correlated to the coal dry ash yields and appear to have little or no influence on the δ18O values of CO2 resulting from coal combustion in open atmospheric conditions. There is a wide range of δ13C values of coal reported in the literature and the δ13C values from this study generally follow reported ranges for higher plants over geologic time. The values of δ18O (relative to Vienna Standard Mean Ocean Water) of CO2 derived from atmospheric combustion of coal and other high-carbon fuels (peat and coal) range from + 19.03 to + 27.03‰ and are similar to atmospheric oxygen δ18OVSMOW values which average + 23.8‰. Further work is needed on a broader set of samples to better define the relationships between coal composition and combustion-derived gases.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2016.06.009","usgsCitation":"Warwick, P.D., and Ruppert, L.F., 2016, Carbon and oxygen isotopic composition of coal and carbon dioxide derived from laboratory coal combustion: A preliminary study: International Journal of Coal Geology, v. 166, p. 128-135, https://doi.org/10.1016/j.coal.2016.06.009.","productDescription":"8 p.","startPage":"128","endPage":"135","ipdsId":"IP-072825","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2016.06.009","text":"Publisher Index Page"},{"id":337547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"166","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90126e4b0849ce97abcdf","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":683798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":683799,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179628,"text":"70179628 - 2016 - Differential influences of local subpopulations on regional diversity and differentiation for greater sage-grouse (Centrocercus urophasianus)","interactions":[],"lastModifiedDate":"2017-01-10T11:26:14","indexId":"70179628","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Differential influences of local subpopulations on regional diversity and differentiation for greater sage-grouse (Centrocercus urophasianus)","docAbstract":"The distribution of spatial genetic variation across a region can shape evolutionary dynamics and impact population persistence. Local population dynamics and among-population dispersal rates are strong drivers of this spatial genetic variation, yet for many species we lack a clear understanding of how these population processes interact in space to shape within-species genetic variation. Here, we used extensive genetic and demographic data from 10 subpopulations of greater sage-grouse to parameterize a simulated approximate Bayesian computation (ABC) model and (i) test for regional differences in population density and dispersal rates for greater sage-grouse subpopulations in Wyoming, and (ii) quantify how these differences impact subpopulation regional influence on genetic variation. We found a close match between observed and simulated data under our parameterized model and strong variation in density and dispersal rates across Wyoming. Sensitivity analyses suggested that changes in dispersal (via landscape resistance) had a greater influence on regional differentiation, whereas changes in density had a greater influence on mean diversity across all subpopulations. Local subpopulations, however, varied in their regional influence on genetic variation. Decreases in the size and dispersal rates of central populations with low overall and net immigration (i.e. population sources) had the greatest negative impact on genetic variation. Overall, our results provide insight into the interactions among demography, dispersal and genetic variation and highlight the potential of ABC to disentangle the complexity of regional population dynamics and project the genetic impact of changing conditions.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.13776","usgsCitation":"Row, J.R., Oyler-McCance, S.J., and Fedy, B.C., 2016, Differential influences of local subpopulations on regional diversity and differentiation for greater sage-grouse (Centrocercus urophasianus): Molecular Ecology, v. 25, p. 4424-4437, https://doi.org/10.1111/mec.13776.","productDescription":"14 p.","startPage":"4424","endPage":"4437","ipdsId":"IP-072246","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":333017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-06","publicationStatus":"PW","scienceBaseUri":"58760116e4b04eac8e0746e3","chorus":{"doi":"10.1111/mec.13776","url":"http://dx.doi.org/10.1111/mec.13776","publisher":"Wiley-Blackwell","authors":"Row Jeffrey R., Oyler-McCance Sara J., Fedy Bradley C.","journalName":"Molecular Ecology","publicationDate":"9/2016"},"contributors":{"authors":[{"text":"Row, Jeffery R.","contributorId":178107,"corporation":false,"usgs":false,"family":"Row","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":657950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fedy, Brad C.","contributorId":140877,"corporation":false,"usgs":false,"family":"Fedy","given":"Brad","email":"","middleInitial":"C.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":657952,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192912,"text":"70192912 - 2016 - Landsat-7 ETM+ radiometric calibration status","interactions":[],"lastModifiedDate":"2017-12-20T10:56:58","indexId":"70192912","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-7 ETM+ radiometric calibration status","docAbstract":"Now in its 17th year of operation, the Enhanced Thematic Mapper + (ETM+), on board the Landsat-7 satellite, continues to systematically acquire imagery of the Earth to add to the 40+ year archive of Landsat data. Characterization of the ETM+ on-orbit radiometric performance has been on-going since its launch in 1999. The radiometric calibration of the reflective bands is still monitored using on-board calibration devices, though the Pseudo-Invariant Calibration Sites (PICS) method has proven to be an effective tool as well. The calibration gains were updated in April 2013 based primarily on PICS results, which corrected for a change of as much as -0.2%/year degradation in the worst case bands. A new comparison with the SADE database of PICS results indicates no additional degradation in the updated calibration. PICS data are still being tracked though the recent trends are not well understood. The thermal band calibration was updated last in October 2013 based on a continued calibration effort by NASA/Jet Propulsion Lab and Rochester Institute of Technology. The update accounted for a 0.036 W/m2 sr μm or 0.26K at 300K bias error. The updated lifetime trend is now stable to within +/- 0.4K.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 9972, Earth Observing Systems XXI","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"SPIE","doi":"10.1117/12.2238625","usgsCitation":"Barsi, J.A., Markham, B.L., Czapla-Myers, J.S., Helder, D.L., Hook, S., Schott, J.R., and Haque, O., 2016, Landsat-7 ETM+ radiometric calibration status, in Proceedings Volume 9972, Earth Observing Systems XXI, v. 9972, https://doi.org/10.1117/12.2238625.","ipdsId":"IP-079294","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470629,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1117/12.2238625","text":"External Repository"},{"id":350125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9972","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fcd4e4b06e28e9c24390","contributors":{"authors":[{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":725247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":725248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czapla-Myers, J. S.","contributorId":101968,"corporation":false,"usgs":true,"family":"Czapla-Myers","given":"J.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":725249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":725250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hook, Simon","contributorId":150339,"corporation":false,"usgs":false,"family":"Hook","given":"Simon","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":725251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schott, John R.","contributorId":199175,"corporation":false,"usgs":false,"family":"Schott","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":725252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":717349,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176202,"text":"70176202 - 2016 - Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change","interactions":[],"lastModifiedDate":"2016-09-01T16:46:32","indexId":"70176202","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change","docAbstract":"Frequent high-resolution measurements of topography at active volcanoes can provide important information for assessing the distribution and rate of emplacement of volcanic deposits and their influence on hazard. At dome-building volcanoes, monitoring techniques such as LiDAR and photogrammetry often provide a limited view of the area affected by the eruption. Here, we show the ability of satellite radar observations to image the lava dome and pyroclastic density current deposits that resulted from 15 years of eruptive activity at Soufrière Hills Volcano, Montserrat, from 1995 to 2010. We present the first geodetic measurements of the complete subaerial deposition field on Montserrat, including the lava dome. Synthetic aperture radar observations from the Advanced Land Observation Satellite (ALOS) and TanDEM-X mission are used to map the distribution and magnitude of elevation changes. We estimate a net dense-rock equivalent volume increase of 108 ± 15M m3 of the lava dome and 300 ± 220M m3 of talus and subaerial pyroclastic density current deposits. We also show variations in deposit distribution during different phases of the eruption, with greatest on-land deposition to the south and west, from 1995 to 2005, and the thickest deposits to the west and north after 2005. We conclude by assessing the potential of using radar-derived topographic measurements as a tool for monitoring and hazard assessment during eruptions at dome-building volcanoes.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01291.1","usgsCitation":"Arnold, D.W., Biggs, J., Wadge, G., Ebmeier, S., Odbert, H.M., and Poland, M., 2016, Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change: Geosphere, v. 12, no. 4, p. 1300-1315, https://doi.org/10.1130/GES01291.1.","productDescription":"16 p.","startPage":"1300","endPage":"1315","ipdsId":"IP-070549","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01291.1","text":"Publisher Index Page"},{"id":328212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-27","publicationStatus":"PW","scienceBaseUri":"57c9431ce4b0f2f0cec13567","contributors":{"authors":[{"text":"Arnold, D. W. D.","contributorId":174270,"corporation":false,"usgs":false,"family":"Arnold","given":"D.","email":"","middleInitial":"W. D.","affiliations":[],"preferred":false,"id":647783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggs, J.","contributorId":59241,"corporation":false,"usgs":true,"family":"Biggs","given":"J.","affiliations":[],"preferred":false,"id":647784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wadge, G.","contributorId":35106,"corporation":false,"usgs":true,"family":"Wadge","given":"G.","affiliations":[],"preferred":false,"id":647785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebmeier, S. K.","contributorId":174271,"corporation":false,"usgs":false,"family":"Ebmeier","given":"S. K.","affiliations":[],"preferred":false,"id":647786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Odbert, H. M.","contributorId":174272,"corporation":false,"usgs":false,"family":"Odbert","given":"H.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":647787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":647782,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192911,"text":"70192911 - 2016 - Radiometric calibration updates to the Landsat collection","interactions":[],"lastModifiedDate":"2018-04-23T09:09:51","indexId":"70192911","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric calibration updates to the Landsat collection","docAbstract":"The Landsat Project is planning to implement a new collection management strategy for Landsat products generated at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center. The goal of the initiative is to identify a collection of consistently geolocated and radiometrically calibrated images across the entire Landsat archive that is readily suitable for time-series analyses. In order to perform an accurate land change analysis, the data from all Landsat sensors must be on the same radiometric scale. Landsat 7 Enhanced Thematic Mapper Plus (ETM+) is calibrated to a radiance standard and all previous sensors are cross-calibrated to its radiometric scale. Landsat 8 Operational Land Imager (OLI) is calibrated to both radiance and reflectance standards independently. The Landsat 8 OLI reflectance calibration is considered to be most accurate. To improve radiometric calibration accuracy of historical data, Landsat 1-7 sensors also need to be cross-calibrated to the OLI reflectance scale. Results of that effort, as well as other calibration updates including the absolute and relative radiometric calibration and saturated pixel replacement for Landsat 8 OLI and absolute calibration for Landsat 4 and 5 Thematic Mappers (TM), will be implemented into Landsat products during the archive reprocessing campaign planned within the new collection management strategy. This paper reports on the planned radiometric calibration updates to the solar reflective bands of the new Landsat collection.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 9972, Earth Observing Systems XXI","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Photo-Optical Instrumentation Engineers","doi":"10.1117/12.2239426","usgsCitation":"Micijevic, E., Haque, O., and Mishra, N., 2016, Radiometric calibration updates to the Landsat collection, in Proceedings Volume 9972, Earth Observing Systems XXI, v. 9972, 12 p., https://doi.org/10.1117/12.2239426.","productDescription":"12 p.","ipdsId":"IP-079592","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9972","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fcd5e4b06e28e9c24393","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":717347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mishra, Nischal nischal.mishra.ctr@usgs.gov","contributorId":198842,"corporation":false,"usgs":true,"family":"Mishra","given":"Nischal","email":"nischal.mishra.ctr@usgs.gov","affiliations":[],"preferred":false,"id":717348,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176245,"text":"70176245 - 2016 - Regulation of the hunting season as a tool for adaptive harvest management — First results for pink-footed geese Anser brachyrhynchus","interactions":[],"lastModifiedDate":"2016-09-03T21:16:43","indexId":"70176245","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Regulation of the hunting season as a tool for adaptive harvest management — First results for pink-footed geese Anser brachyrhynchus","docAbstract":"Adjustment of hunting season length is often used to regulate harvest of waterbirds but the effects are disputed. We describe the first results of season length extension on the harvest of the pink-footed goose, which has been selected as the first test case of adaptive harvest management of waterbirds in Europe. In Denmark, the season (previously 1 September to 31 December) was extended to include January in 2014-15 with the aim to increase the harvest and, in the longer term, reduce the population size. The total harvest in Denmark increased by 52% compared to previous years, and almost 50% of the Danish harvest was taken in the January extension. In the course of the hunting season, the proportion of adults in the bag increased. In this case, the outcomes from the first extension of season suggest that season length adjustment can be an effective tool to regulate harvest, though dependent on winter weather conditions and hunters’ motivation for shooting geese.","language":"English","publisher":"Nordic Board for Widlife Research","doi":"10.2981/wlb.00234","usgsCitation":"Madsen, J., Clausen, K.K., Christensen, T.K., and Johnson, F.A., 2016, Regulation of the hunting season as a tool for adaptive harvest management — First results for pink-footed geese Anser brachyrhynchus: Wildlife Biology, v. 22, no. 5, p. 204-208, https://doi.org/10.2981/wlb.00234.","productDescription":"5 p.","startPage":"204","endPage":"208","ipdsId":"IP-072589","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00234","text":"Publisher Index Page"},{"id":328231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cbf42be4b0f2f0cec3ba05","contributors":{"authors":[{"text":"Madsen, Jesper","contributorId":9950,"corporation":false,"usgs":true,"family":"Madsen","given":"Jesper","affiliations":[],"preferred":false,"id":648054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clausen, Kevin K.","contributorId":174355,"corporation":false,"usgs":false,"family":"Clausen","given":"Kevin","email":"","middleInitial":"K.","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":648055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Thomas K.","contributorId":69381,"corporation":false,"usgs":false,"family":"Christensen","given":"Thomas","email":"","middleInitial":"K.","affiliations":[{"id":6963,"text":"Department of Bioscience, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":648056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":648053,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178354,"text":"70178354 - 2016 - Biochemical and clinical responses of Common Eiders to implanted satellite transmitters","interactions":[],"lastModifiedDate":"2016-11-15T12:02:59","indexId":"70178354","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Biochemical and clinical responses of Common Eiders to implanted satellite transmitters","docAbstract":"Implanted biologging devices, such as satellite-linked platform transmitter terminals (PTTs), have been used widely to delineate populations and identify movement patterns of sea ducks. Although in some cases these ecological studies could reveal transmitter effects on behavior and mortality, experiments conducted under controlled conditions can provide valuable information to understand the influence of implanted tags on health and physiology. We report the clinical, mass, biochemical, and histological responses of captive Common Eiders (Somateria mollissima) implanted with PTTs with percutaneous antennas. We trained 6 individuals to dive 4.9 m for their food, allowed them to acclimate to this dive depth, and implanted them with PTTs. We collected data before surgery to establish baselines, and for 3.5 mo after surgery. The first feeding dive took place 22 hr after surgery, with 5 of 6 birds diving to the bottom within 35 hr of surgery. Plumage waterproofing around surgical sites was reduced ≤21 days after surgery. Mass; albumin; albumin:globulin ratio; aspartate aminotransferase; β1-, β2-, and γ-globulins; creatine kinase; fecal glucocorticoid metabolites; heterophil:lymphocyte ratio; and packed cell volume changed from baseline on one or more of the postsurgery sampling dates, and some changes were still evident 3.5 mo after surgery. Our findings show that Common Eiders physiologically responded for up to 3.5 mo after surgical implantation of a PTT, with the greatest response occurring within the first few weeks of implantation. These responses support the need for postsurgery censor periods for satellite telemetry data and should be considered when designing studies and analyzing information from PTTs in sea ducks.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-7.1","usgsCitation":"Latty, C.J., Hollmen, T.E., Petersen, M.R., Powell, A., and Andrews, R.D., 2016, Biochemical and clinical responses of Common Eiders to implanted satellite transmitters: The Condor, v. 118, no. 3, p. 489-501, https://doi.org/10.1650/CONDOR-16-7.1.","productDescription":"13 p.","startPage":"489","endPage":"501","ipdsId":"IP-076365","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":462099,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-7.1","text":"Publisher Index Page"},{"id":438557,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MR0","text":"USGS data release","linkHelpText":"Common Eider Blood Chemistry Data, Alaska, 2005"},{"id":331010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582c2ce5e4b0c253be072c06","contributors":{"authors":[{"text":"Latty, Christopher J.","contributorId":146588,"corporation":false,"usgs":false,"family":"Latty","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":653820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollmen, Tuula E.","contributorId":106077,"corporation":false,"usgs":true,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":653821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":653752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":653751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Russel D.","contributorId":146589,"corporation":false,"usgs":false,"family":"Andrews","given":"Russel","email":"","middleInitial":"D.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":653822,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178867,"text":"70178867 - 2016 - Factors affecting wetland connectivity for wintering semipalmated sandpipers (Calidris pusilla) in the Caribbean","interactions":[],"lastModifiedDate":"2016-12-09T15:52:13","indexId":"70178867","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting wetland connectivity for wintering semipalmated sandpipers (Calidris pusilla) in the Caribbean","docAbstract":"Wetland connectivity provides migratory shorebirds varying options to meet energy requirements to survive and complete their annual cycle. Multiple factors mediate movement and residency of spatially segregated wetlands. Information on these factors is lacking in the tropics, yet such information is invaluable for conservation design. The influence of seven biotic and abiotic factors on local movement and residency rates of Semipalmated Sandpipers (Calidris pusilla) among three major wetlands in southwestern Puerto Rico in 2013–2014 was assessed using multi-state models. The model with highest support (AICc wi= 0.78) indicated that weekly residency rates increased seasonally, and were positively influenced by bird abundance and the interaction of prey density and rainfall. Movement rates were negatively influenced by inter-wetland distance, which varied annually, ranging from 0.01 ± 0.004 to 0.33 ± 0.08. Age class (adult, juvenile), extent of shoreline habitat (km), and body condition (estimated percent fat) did not influence residency rates (95% CIs overlapped Betas). Our findings indicated that coastal wetlands in southwestern Puerto Rico were connected, pointing at the joint value of salt flats and mangroves for overwintering Semipalmated Sandpipers. Connectivity between different types of wetlands likely widens resource diversity, which is essential for coping with unpredictable environments. Additional work is needed to generalize our understanding of inter-wetland dynamics and their potential benefits to inform shorebird conservation strategies in the Caribbean.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0304","usgsCitation":"Parks, M.A., Collazo, J., and Ramos Alvarez, K.R., 2016, Factors affecting wetland connectivity for wintering semipalmated sandpipers (Calidris pusilla) in the Caribbean: Waterbirds, v. 39, no. 3, p. 250-259, https://doi.org/10.1675/063.039.0304.","productDescription":"10 p.","startPage":"250","endPage":"259","ipdsId":"IP-070138","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.21641540527344,\n 17.928109247721633\n ],\n [\n -67.21641540527344,\n 18.061659495798455\n ],\n [\n -67.05162048339844,\n 18.061659495798455\n ],\n [\n -67.05162048339844,\n 17.928109247721633\n ],\n [\n -67.21641540527344,\n 17.928109247721633\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dee4b077fc20250e0a","contributors":{"authors":[{"text":"Parks, Morgan A.","contributorId":177347,"corporation":false,"usgs":false,"family":"Parks","given":"Morgan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":655384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramos Alvarez, Katsi R.","contributorId":177348,"corporation":false,"usgs":false,"family":"Ramos Alvarez","given":"Katsi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":655405,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176615,"text":"70176615 - 2016 - Seismo-acoustic evidence for an avalanche driven phreatic eruption through a beheaded hydrothermal system: An example from the 2012 Tongariro eruption","interactions":[],"lastModifiedDate":"2016-09-26T18:00:19","indexId":"70176615","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Seismo-acoustic evidence for an avalanche driven phreatic eruption through a beheaded hydrothermal system: An example from the 2012 Tongariro eruption","docAbstract":"The 6 August 2012 Te Maari eruption comprises a complex eruption sequence including multiple eruption pulses, a debris avalanche that propagated ~ 2 km from the vent, and the formation of a 500 m long, arcuate chasm, located ~ 300 m from the main eruption vent.\n\nThe eruption included 6 distinct impulses that were coherent across a local infrasound network marking the eruption onset at 11:52:18 (all times UTC). An eruption energy release of ~ 3 × 1012 J was calculated using a body wave equation for radiated seismic energy. A similar calculation based on the infrasound record, shows that ~ 90% of the acoustic energy was released from three impulses at onset times 11:52:20 (~ 20% of total eruption energy), 11:52:27 (~ 50%), and 11:52:31 (~ 20%). These energy impulses may coincide with eyewitness accounts describing an initial eastward directed blast, followed by a westward directed blast, and a final vertical blast.\n\nPre-eruption seismic activity includes numerous small unlocatable micro-earthquakes that began at 11:46:50. Two larger high frequency earthquakes were recorded at 11:49:06 and 11:49:21 followed directly by a third earthquake at 11:50:17. The first event was located within the scarp based on an arrival time location from good first P arrival times and probably represents the onset of the debris avalanche. The third event was a tornillo, characterised by a 0.8 Hz single frequency resonance, and has a resonator attenuation factor of Q ~ 40, consistent with a bubbly fluid filled resonator. This contrasts with a similar tornillo event occurring 2.5 weeks earlier having Q ~ 250–1000, consistent with a dusty gas charged resonator. We surmise from pre-eruption seismicity, and the observed attenuation change, that the debris avalanche resulted from the influx of fluids into the hydrothermal system, causing destabilisation and failure. The beheaded hydrothermal system may have then caused depressurisation frothing of the remaining gas charged system leading to the onset of explosive activity.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jvolgeores.2014.04.007","usgsCitation":"Jolly, A., Jousset, P., Lyons, J., Carniel, R., Fournier, R., Fry, B., and Miller, C., 2016, Seismo-acoustic evidence for an avalanche driven phreatic eruption through a beheaded hydrothermal system: An example from the 2012 Tongariro eruption: Journal of Volcanology and Geothermal Research, v. 286, p. 331-347, https://doi.org/10.1016/j.jvolgeores.2014.04.007.","productDescription":"17 p.","startPage":"331","endPage":"347","numberOfPages":"17","ipdsId":"IP-079016","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":329012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328882,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0377027314001176"}],"volume":"286","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c657e4b0bc0bec09c911","contributors":{"authors":[{"text":"Jolly, A.D.","contributorId":64274,"corporation":false,"usgs":true,"family":"Jolly","given":"A.D.","affiliations":[],"preferred":false,"id":649720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jousset, P.","contributorId":174940,"corporation":false,"usgs":false,"family":"Jousset","given":"P.","affiliations":[],"preferred":false,"id":649721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, J.J.","contributorId":27720,"corporation":false,"usgs":true,"family":"Lyons","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":649722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carniel, R.","contributorId":174941,"corporation":false,"usgs":false,"family":"Carniel","given":"R.","email":"","affiliations":[],"preferred":false,"id":649723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fournier, R.","contributorId":174942,"corporation":false,"usgs":false,"family":"Fournier","given":"R.","email":"","affiliations":[],"preferred":false,"id":649724,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fry, B.","contributorId":52694,"corporation":false,"usgs":true,"family":"Fry","given":"B.","email":"","affiliations":[],"preferred":false,"id":649725,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, C.","contributorId":44114,"corporation":false,"usgs":false,"family":"Miller","given":"C.","affiliations":[],"preferred":false,"id":649726,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70187743,"text":"70187743 - 2016 - Arctic sea ice a major determinant in Mandt's black guillemot movement and distribution during non-breeding season","interactions":[],"lastModifiedDate":"2017-05-16T15:47:06","indexId":"70187743","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Arctic sea ice a major determinant in Mandt's black guillemot movement and distribution during non-breeding season","docAbstract":"Mandt's black guillemot (Cepphus grylle mandtii) is one of the few seabirds associated in all seasons with Arctic sea ice, a habitat that is changing rapidly. Recent decreases in summer ice have reduced breeding success and colony size of this species in Arctic Alaska. Little is known about the species' movements and distribution during the nine month non-breeding period (September–May), when changes in sea ice extent and composition are also occurring and predicted to continue. To examine bird movements and the seasonal role of sea ice to non-breeding Mandt's black guillemots, we deployed and recovered (n = 45) geolocators on individuals at a breeding colony in Arctic Alaska during 2011–2015. Black guillemots moved north to the marginal ice zone (MIZ) in the Beaufort and Chukchi seas immediately after breeding, moved south to the Bering Sea during freeze-up in December, and wintered in the Bering Sea January–April. Most birds occupied the MIZ in regions averaging 30–60% sea ice concentration, with little seasonal variation. Birds regularly roosted on ice in all seasons averaging 5 h d−1, primarily at night. By using the MIZ, with its roosting opportunities and associated prey, black guillemots can remain in the Arctic during winter when littoral waters are completely covered by ice.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsbl.2016.0275","usgsCitation":"Divoky, G., Douglas, D.C., and Stenhouse, I.J., 2016, Arctic sea ice a major determinant in Mandt's black guillemot movement and distribution during non-breeding season: Biology Letters, v. 12, no. 9, Article 20160275, https://doi.org/10.1098/rsbl.2016.0275.","productDescription":"Article 20160275","ipdsId":"IP-074728","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470608,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsbl.2016.0275","text":"Publisher Index Page"},{"id":341394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fc9e4b0a7fdb43ddef2","contributors":{"authors":[{"text":"Divoky, G.J.","contributorId":15971,"corporation":false,"usgs":true,"family":"Divoky","given":"G.J.","affiliations":[],"preferred":false,"id":695398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":695397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenhouse, I. J.","contributorId":192075,"corporation":false,"usgs":false,"family":"Stenhouse","given":"I.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":695399,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176195,"text":"70176195 - 2016 - Pleistocene Lake Bonneville as an analog for extraterrestrial lakes and oceans","interactions":[],"lastModifiedDate":"2020-08-25T17:14:10.348966","indexId":"70176195","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"21","title":"Pleistocene Lake Bonneville as an analog for extraterrestrial lakes and oceans","docAbstract":"Geomorphic confirmation for a putative ancient Mars ocean relies on analog comparisons of coastal-like features such as shoreline feature attributes and temporal scales of process formation. Pleistocene Lake Bonneville is one of the few large, geologically young, terrestrial lake systems that exemplify well-preserved shoreline characteristics that formed quickly, on the order of a thousand years or less. Studies of Lake Bonneville provide two essential analog considerations for interpreting shorelines on Mars: (1) morphological variations in expression depend on constructional vs erosional processes, and (2) shorelines are not always correlative at an equipotential elevation across a basin due to isostasy, heat flow, wave setup, fetch, and other factors. Although other large terrestrial lake systems display supporting evidence for geomorphic comparisons, Lake Bonneville encompasses the most integrated examples of preserved coastal features related to basin history, sediment supply, climate, and fetch, all within the context of a detailed hydrograph. These collective terrestrial lessons provide a framework to evaluate possible boundary conditions for ancient Mars hydrology and large water body environmental feedbacks. This knowledge of shoreline characteristics, processes, and environments can support explorations of habitable environments and guide future mission explorations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in earth surface processes, Volume 20","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63590-7.00021-4","usgsCitation":"Chan, M., Jewell, P., Parker, T.J., Ormo, J., Okubo, C., and Komatsu, G., 2016, Pleistocene Lake Bonneville as an analog for extraterrestrial lakes and oceans, chap. 21 of Developments in earth surface processes, Volume 20, v. 20, p. 570-597, https://doi.org/10.1016/B978-0-444-63590-7.00021-4.","productDescription":"28 p.","startPage":"570","endPage":"597","ipdsId":"IP-068865","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":328157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c94321e4b0f2f0cec135a4","contributors":{"authors":[{"text":"Chan, M.A.","contributorId":52340,"corporation":false,"usgs":true,"family":"Chan","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":647724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jewell, P.","contributorId":77843,"corporation":false,"usgs":true,"family":"Jewell","given":"P.","email":"","affiliations":[],"preferred":false,"id":647725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, T. J.","contributorId":30776,"corporation":false,"usgs":false,"family":"Parker","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":647726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ormo, J.","contributorId":55626,"corporation":false,"usgs":true,"family":"Ormo","given":"J.","affiliations":[],"preferred":false,"id":647727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":647723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Komatsu, G.","contributorId":35913,"corporation":false,"usgs":true,"family":"Komatsu","given":"G.","email":"","affiliations":[],"preferred":false,"id":647728,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192660,"text":"70192660 - 2016 - A global review of freshwater crayfish temperature tolerance, preference, and optimal growth","interactions":[],"lastModifiedDate":"2017-11-27T11:38:49","indexId":"70192660","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"A global review of freshwater crayfish temperature tolerance, preference, and optimal growth","docAbstract":"Conservation efforts, environmental planning, and management must account for ongoing ecosystem alteration due to a changing climate, introduced species, and shifting land use. This type of management can be facilitated by an understanding of the thermal ecology of aquatic organisms. However, information on thermal ecology for entire taxonomic groups is rarely compiled or summarized, and reviews of the science can facilitate its advancement. Crayfish are one of the most globally threatened taxa, and ongoing declines and extirpation could have serious consequences on aquatic ecosystem function due to their significant biomass and ecosystem roles. Our goal was to review the literature on thermal ecology for freshwater crayfish worldwide, with emphasis on studies that estimated temperature tolerance, temperature preference, or optimal growth. We also explored relationships between temperature metrics and species distributions. We located 56 studies containing information for at least one of those three metrics, which covered approximately 6 % of extant crayfish species worldwide. Information on one or more metrics existed for all 3 genera of Astacidae, 4 of the 12 genera of Cambaridae, and 3 of the 15 genera of Parastacidae. Investigations employed numerous methodological approaches for estimating these parameters, which restricts comparisons among and within species. The only statistically significant relationship we observed between a temperature metric and species range was a negative linear relationship between absolute latitude and optimal growth temperature. We recommend expansion of studies examining the thermal ecology of freshwater crayfish and identify and discuss methodological approaches that can improve standardization and comparability among studies.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-016-9430-5","usgsCitation":"Westhoff, J.T., and Rosenberger, A.E., 2016, A global review of freshwater crayfish temperature tolerance, preference, and optimal growth: Reviews in Fish Biology and Fisheries, v. 26, no. 3, p. 329-349, https://doi.org/10.1007/s11160-016-9430-5.","productDescription":"21 p.","startPage":"329","endPage":"349","ipdsId":"IP-069980","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-14","publicationStatus":"PW","scienceBaseUri":"5a60fcd5e4b06e28e9c24396","contributors":{"authors":[{"text":"Westhoff, Jacob T.","contributorId":58106,"corporation":false,"usgs":true,"family":"Westhoff","given":"Jacob","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":723539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184319,"text":"70184319 - 2016 - Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","interactions":[],"lastModifiedDate":"2017-03-07T16:08:31","indexId":"70184319","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","docAbstract":"The Columbia River Littoral Cell (CRLC), a high-wave-energy littoral system, extends 160 km alongshore, generally north of the large Columbia River, and 10–15 km in across-shelf distance from paleo-beach backshores to about 50 m present water depths. Onshore drill holes (19 in number and 5–35 m in subsurface depth) and offshore vibracores (33 in number and 1–5 m in subsurface depth) constrain inner-shelf sand grain sizes (sample means 0.13–0.25 mm) and heavy mineral source indicators (> 90% Holocene Columbia River sand) of the inner-shelf facies (≥ 90% fine sand). Stratigraphic correlation of the transgressive ravinement surface in onshore drill holes and in offshore seismic reflection profiles provide age constraints (0–12 ka) on post-ravinement inner-shelf deposits, using paleo-sea level curves and radiocarbon dates. Post-ravinement deposit thickness (1–50 m) and long-term sedimentation rates (0.4–4.4 m ka− 1) are positively correlated to the cross-shelf gradients (0.36–0.63%) of the transgressive ravinement surface. The total post-ravinement fill volume of fine littoral sand (2.48 × 1010 m3) in the inner-shelf represents about 2.07 × 106 m3 year− 1 fine sand accumulation rate during the last 12 ka, or about one third of the estimated middle- to late-Holocene Columbia River bedload or sand discharge (5–6 × 106 m3 year− 1) to the littoral zone. The fine sand accumulation in the inner-shelf represents post-ravinement accommodation space resulting from 1) geometry and depth of the transgressive ravinement surface, 2) post-ravinement sea-level rise, and 3) fine sand dispersal in the inner-shelf by combined high-wave-energy and geostrophic flow/down-welling drift currents during major winter storms.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.05.007","usgsCitation":"Peterson, C.D., Twichell, D.C., Roberts, M.C., Vanderburgh, S., and Hostetler, S.W., 2016, Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA: Marine Geology, v. 379, p. 140-156, https://doi.org/10.1016/j.margeo.2016.05.007.","productDescription":"17 p.","startPage":"140","endPage":"156","ipdsId":"IP-075517","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488567,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/geology_fac/96","text":"External Repository"},{"id":336980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","volume":"379","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f1e4b014cc3a3ba495","contributors":{"authors":[{"text":"Peterson, C. D.","contributorId":187596,"corporation":false,"usgs":false,"family":"Peterson","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twichell, D. C.","contributorId":187597,"corporation":false,"usgs":false,"family":"Twichell","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, M. C.","contributorId":187598,"corporation":false,"usgs":false,"family":"Roberts","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderburgh, S.","contributorId":187599,"corporation":false,"usgs":false,"family":"Vanderburgh","given":"S.","email":"","affiliations":[],"preferred":false,"id":680995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":680991,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184311,"text":"70184311 - 2016 - Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (Scaphirhynchus albus)","interactions":[],"lastModifiedDate":"2017-03-07T13:20:04","indexId":"70184311","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (Scaphirhynchus albus)","docAbstract":"Factors affecting feeding and growth of early life stages of the federally endangered pallid sturgeon (Scaphirhynchus albus) are not fully understood, owing to their scarcity in the wild. In this study was we evaluated the performance of a combined foraging-bioenergetics model as a tool for assessing growth of age-0 pallid sturgeon in the Missouri River. In the laboratory, three size classes of sturgeon larvae (18–44 mm; 0.027–0.329 g) were grown for 7 to 14 days under differing temperature (14–24 °C) and prey density (0–9 Chironomidae larvae/d) regimes. After accounting for effects of water temperature and prey density on fish activity, we compared observed final weight, final length, and number of prey consumed to values generated from the foraging-bioenergetics model. When confronted with an independent dataset, the combined model provided reliable estimates (within 13% of observations) of fish growth and prey consumption, underscoring the usefulness of the modeling approach for evaluating growth dynamics of larval fish when empirical data are lacking.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.05.017","usgsCitation":"Deslauriers, D., Heironimus, L.B., and Chipps, S.R., 2016, Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (Scaphirhynchus albus): Ecological Modelling, v. 336, p. 1-12, https://doi.org/10.1016/j.ecolmodel.2016.05.017.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-077141","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":336944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"336","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4aa","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":680969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heironimus, Laura B.","contributorId":187587,"corporation":false,"usgs":false,"family":"Heironimus","given":"Laura","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":680970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":680946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70184316,"text":"70184316 - 2016 - A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science","interactions":[],"lastModifiedDate":"2017-03-07T16:18:28","indexId":"70184316","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1686,"text":"Forensic Science International","active":true,"publicationSubtype":{"id":10}},"title":"A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science","docAbstract":"The hydrogen isotopic composition (δ2HVSMOW-SLAP) of USGS42 and USGS43 human hair stable isotopic reference materials, normalized to the VSMOW (Vienna-Standard Mean Ocean Water)–SLAP (Standard Light Antarctic Precipitation) scale, was originally determined with a high temperature conversion technique using an elemental analyzer (TC/EA) with a glassy carbon tube and glassy carbon filling and analysis by isotope-ratio mass spectrometer (IRMS). However, the TC/EA IRMS method can produce inaccurate δ2HVSMOW-SLAPresults when analyzing nitrogen-bearing organic substances owing to the formation of hydrogen cyanide (HCN), leading to non-quantitative conversion of a sample into molecular hydrogen (H2) for IRMS analysis. A single-oven, chromium-filled, elemental analyzer (Cr-EA) coupled to an IRMS substantially improves the measurement quality and reliability of hydrogen isotopic analysis of hydrogen- and nitrogen-bearing organic material because hot chromium scavenges all reactive elements except hydrogen. USGS42 and USGS43 human hair isotopic reference materials have been analyzed with the Cr-EA IRMS method, and the δ2HVSMOW-SLAP values of their non-exchangeable hydrogen fractions have been revised:
![\"Math](\"http://www.fsijournal.org/cms/attachment/2085453690/2073866099/si2.gif\")
where mUr = 0.001 = ‰. On average, these revised δ2HVSMOW-SLAP values are 5.7 mUr more positive than those previously measured. It is critical that readers pay attention to the δ2HVSMOW-SLAP of isotopic reference materials in publications as they may need to adjust the δ2HVSMOW–SLAP measurement results of human hair in previous publications to ensure all results are on the same isotope-delta scale.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.forsciint.2016.05.029","usgsCitation":"Coplen, T.B., and Qi, H., 2016, A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science: Forensic Science International, v. 266, p. 222-225, https://doi.org/10.1016/j.forsciint.2016.05.029.","productDescription":"4 p.","startPage":"222","endPage":"225","ipdsId":"IP-075581","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.forsciint.2016.05.029","text":"Publisher Index Page"},{"id":336985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"266","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4a5","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":680979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":680980,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184317,"text":"70184317 - 2016 - Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy","interactions":[],"lastModifiedDate":"2017-03-07T16:15:12","indexId":"70184317","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy","docAbstract":"The April 2010 Deepwater Horizon (DWH) oil spill was the largest coastal spill in U.S. history. Monitoring subsequent change in marsh plant community distributions is critical to assess ecosystem impacts and to establish future coastal management priorities. Strategically deployed airborne imaging spectrometers, like the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), offer the spectral and spatial resolution needed to differentiate plant species. However, obtaining satisfactory and consistent classification accuracies over time is a major challenge, particularly in dynamic intertidal landscapes.
Here, we develop and evaluate an image classification system for a time series of AVIRIS data for mapping dominant species in a heavily oiled salt marsh ecosystem. Using field-referenced image endmembers and canonical discriminant analysis (CDA), we classified 21 AVIRIS images acquired during the fall of 2010, 2011 and 2012. Classification results were evaluated using ground surveys that were conducted contemporaneously to AVIRIS collection dates. We analyzed changes in dominant species cover from 2010 to 2012 for oiled and non-oiled shorelines.
CDA discriminated dominant species with a high level of accuracy (overall accuracy = 82%, kappa = 0.78) and consistency over three imaging dates (overall2010 = 82%, overall2011 = 82%, overall2012 = 88%). Marshes dominated by Spartina alterniflora were the most spatially abundant in shoreline zones (≤ 28 m from shore) for all three dates (2010 = 79%, 2011 = 61%, 2012 = 63%), followed by Juncus roemerianus (2010 = 11%, 2011 = 19%, 2012 = 17%) and Distichlis spicata (2010 = 4%, 2011 = 10%, 2012 = 7%).
Marshes that were heavily contaminated with oil exhibited variable responses from 2010 to 2012. Marsh vegetation classes converted to a subtidal, open water class along oiled and non-oiled shorelines that were similarly situated in the landscape. However, marsh loss along oil-contaminated shorelines doubled that of non-oiled shorelines. Only S. alterniflora dominated marshes were extensively degraded, losing 15% (354,604 m2) cover in oiled shoreline zones, suggesting that S. alterniflora marshes may be more vulnerable to shoreline erosion following hydrocarbon stress, due to their landscape position.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.04.024","usgsCitation":"Beland, M., Roberts, D.A., Peterson, S.H., Biggs, T.W., Kokaly, R., Piazza, S., Roth, K.L., Khanna, S., and Ustin, S.L., 2016, Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy: Remote Sensing of Environment, v. 182, p. 192-207, https://doi.org/10.1016/j.rse.2016.04.024.","productDescription":"16 p.","startPage":"192","endPage":"207","ipdsId":"IP-069176","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":470617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/81m5219m","text":"Publisher Index Page"},{"id":336983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"182","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4a1","contributors":{"authors":[{"text":"Beland, Michael","contributorId":139569,"corporation":false,"usgs":false,"family":"Beland","given":"Michael","email":"","affiliations":[{"id":12805,"text":"Univ. of California at San Diego","active":true,"usgs":false}],"preferred":false,"id":680982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":680983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Seth H.","contributorId":139568,"corporation":false,"usgs":false,"family":"Peterson","given":"Seth","email":"","middleInitial":"H.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":680984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biggs, Trent W.","contributorId":187592,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","email":"","middleInitial":"W.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":680985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":1785,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","email":"raymond@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":680981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piazza, Sarai 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":169024,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":680986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roth, Keely L.","contributorId":187593,"corporation":false,"usgs":false,"family":"Roth","given":"Keely","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":680987,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Khanna, Shruti","contributorId":74287,"corporation":false,"usgs":true,"family":"Khanna","given":"Shruti","affiliations":[],"preferred":false,"id":680988,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":680989,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}