{"pageNumber":"901","pageRowStart":"22500","pageSize":"25","recordCount":165523,"records":[{"id":70193714,"text":"70193714 - 2017 - Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world","interactions":[],"lastModifiedDate":"2017-11-20T12:04:15","indexId":"70193714","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world","docAbstract":"

Chesapeake Bay has undergone profound changes since European settlement. Increases in human and livestock populations, associated changes in land use, increases in nutrient loadings, shoreline armoring, and depletion of fish stocks have altered the important habitats within the Bay. Submersed aquatic vegetation (SAV) is a critical foundational habitat and provides numerous benefits and services to society. In Chesapeake Bay, SAV species are also indicators of environmental change because of their sensitivity to water quality and shoreline development. As such, SAV has been deeply integrated into regional regulations and annual assessments of management outcomes, restoration efforts, the scientific literature, and popular media coverage. Even so, SAV in Chesapeake Bay faces many historical and emerging challenges. The future of Chesapeake Bay is indicated by and contingent on the success of SAV. Its persistence will require continued action, coupled with new practices, to promote a healthy and sustainable ecosystem.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bix058","usgsCitation":"Orth, R.J., Dennison, W.C., Lefcheck, J.S., Gurbisz, C., Hannam, M.P., Keisman, J.L., Landry, J.B., Moore, K.A., Murphy, R., Patrick, C.J., Testa, J., Weller, D.E., and Wilcox, D.J., 2017, Submersed aquatic vegetation in Chesapeake Bay: Sentinel species in a changing world: BioScience, v. 67, no. 8, p. 698-712, https://doi.org/10.1093/biosci/bix058.","productDescription":"15 p.","startPage":"698","endPage":"712","ipdsId":"IP-082185","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":469359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bix058","text":"Publisher Index Page"},{"id":349132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.3712158203125,\n 36.848856608486905\n ],\n [\n -75.618896484375,\n 36.848856608486905\n ],\n [\n -75.618896484375,\n 39.609920257000795\n ],\n [\n -77.3712158203125,\n 39.609920257000795\n ],\n [\n -77.3712158203125,\n 36.848856608486905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d15","contributors":{"authors":[{"text":"Orth, Robert J.","contributorId":140562,"corporation":false,"usgs":false,"family":"Orth","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, William C.","contributorId":140570,"corporation":false,"usgs":false,"family":"Dennison","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefcheck, Jonathon S.","contributorId":199773,"corporation":false,"usgs":false,"family":"Lefcheck","given":"Jonathon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gurbisz, Cassie","contributorId":199774,"corporation":false,"usgs":false,"family":"Gurbisz","given":"Cassie","email":"","affiliations":[],"preferred":false,"id":720013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannam, Michael P.","contributorId":199775,"corporation":false,"usgs":false,"family":"Hannam","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":720014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720009,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Landry, J. Brooke","contributorId":199776,"corporation":false,"usgs":false,"family":"Landry","given":"J.","email":"","middleInitial":"Brooke","affiliations":[],"preferred":false,"id":720015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moore, Kenneth A.","contributorId":140569,"corporation":false,"usgs":false,"family":"Moore","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":720017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720018,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Testa, Jeremy","contributorId":199779,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","affiliations":[],"preferred":false,"id":720019,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weller, Donald E.","contributorId":199780,"corporation":false,"usgs":false,"family":"Weller","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720020,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilcox, David J.","contributorId":140565,"corporation":false,"usgs":false,"family":"Wilcox","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720021,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70191086,"text":"sir20175113 - 2017 - Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, western Washington, water years 2012-16","interactions":[],"lastModifiedDate":"2017-11-08T11:26:15","indexId":"sir20175113","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5113","title":"Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, western Washington, water years 2012-16","docAbstract":"

The Sauk River is a federally designated Wild and Scenic River that drains a relatively undisturbed landscape along the western slope of the North Cascade Mountain Range, Washington, which includes the glaciated volcano, Glacier Peak. Naturally high sediment loads characteristic of basins draining volcanoes like Glacier Peak make the Sauk River a dominant contributor of sediment to the downstream main stem river, the Skagit River. Additionally, the Sauk River serves as important spawning and rearing habitat for several salmonid species in the greater Skagit River system. Because of the importance of sediment to morphology, flow-conveyance, and ecosystem condition, there is interest in understanding the magnitude and timing of suspended sediment and turbidity from the Sauk River system and its principal tributaries, the White Chuck and Suiattle Rivers, to the Skagit River.

Suspended-sediment measurements, turbidity data, and water temperature data were collected at two U.S. Geological Survey streamgages in the upper and middle reaches of the Sauk River over a 4-year period extending from October 2011 to September 2015, and at a downstream location in the lower river for a 5-year period extending from October 2011 to September 2016. Over the collective 5-year study period, mean annual suspended-sediment loads at the three streamgages on the upper, middle, and lower Sauk River streamgages were 94,200 metric tons (t), 203,000 t, and 940,000 t streamgages, respectively. Fine (smaller than 0.0625 millimeter) total suspended-sediment load averaged 49 percent at the upper Sauk River streamgage, 42 percent at the middle Sauk River streamgage, and 34 percent at the lower Sauk River streamgage.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175113","collaboration":"Prepared in cooperation with Sauk-Suiattle Indian Tribe","usgsCitation":"Jaeger, K.L., Curran, C.A., Anderson, S.W., Morris, S.T., Moran, P.W., and Reams, K.A., 2017, Suspended sediment, turbidity, and stream water temperature in the Sauk River Basin, Washington, water years 2012–16: U.S. Geological Survey Scientific Investigations Report 2017–5113, 47 p., https://doi.org/10.3133/sir20175113.","productDescription":"Report: vii, 47 p.; Appendix; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-087993","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":347907,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5113/sir20175113.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5113"},{"id":347906,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5113/coverthb.jpg"},{"id":347985,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77S7MNB","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Suspended sediment and water temperature ​data, Sauk River, Washington, water years 2012–16"},{"id":348066,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5113/sir20175113_appendixa.xlsx","text":"Appendix A","size":"14 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5113 Appendix A"}],"country":"United States","state":"Washington","otherGeospatial":"Sauk River, Suiattle River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.58294677734374,\n 48.34529727896014\n ],\n [\n 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Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-11-01","noUsgsAuthors":false,"publicationDate":"2017-11-01","publicationStatus":"PW","scienceBaseUri":"59fadd1fe4b0531197b13c75","contributors":{"authors":[{"text":"Jaeger, Kristin L. 0000-0002-1209-8506 kjaeger@usgs.gov","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":199335,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","email":"kjaeger@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":107001,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, Scott T.","contributorId":199336,"corporation":false,"usgs":false,"family":"Morris","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":18052,"text":"Sauk-Suiattle Indian Tribe","active":true,"usgs":false}],"preferred":false,"id":711121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reams, Katherine A. 0000-0001-7468-7026 kreams@usgs.gov","orcid":"https://orcid.org/0000-0001-7468-7026","contributorId":199337,"corporation":false,"usgs":true,"family":"Reams","given":"Katherine","email":"kreams@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711123,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193595,"text":"70193595 - 2017 - Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information","interactions":[],"lastModifiedDate":"2017-11-16T11:37:23","indexId":"70193595","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information","docAbstract":"Maintaining landscape connectivity is increasingly important\nin wildlife conservation, especially for species experiencing\nthe effects of habitat loss and fragmentation. We propose a\nnovel approach to dynamically optimize landscape connectivity.\nOur approach is based on a mixed integer program formulation,\nembedding a spatial capture-recapture model that\nestimates the density, space usage, and landscape connectivity\nfor a given species. Our method takes into account the\nfact that local animal density and connectivity change dynamically\nand non-linearly with different habitat protection\nplans. In order to scale up our encoding, we propose a sampling\nscheme via random partitioning of the search space using\nparity functions. We show that our method scales to realworld\nsize problems and dramatically outperforms the solution\nquality of an expectation maximization approach and a\nsample average approximation approach.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI-17)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Thirty-First Conference on Artificial Intelligence (AAAI-17)","conferenceLocation":"San Francisco, CA","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","usgsCitation":"Xue, Y., Wu, X., Morin, D.J., Dilkina, B., Fuller, A.K., Royle, J., and Gomes, C.P., 2017, Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information, in Proceedings of the Thirty-First Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, 7 p.","productDescription":"7 p.","ipdsId":"IP-081147","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d18","contributors":{"authors":[{"text":"Xue, Yexiang","contributorId":200458,"corporation":false,"usgs":false,"family":"Xue","given":"Yexiang","email":"","affiliations":[],"preferred":false,"id":722407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Xiaojian","contributorId":200459,"corporation":false,"usgs":false,"family":"Wu","given":"Xiaojian","email":"","affiliations":[],"preferred":false,"id":722408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Dana J.","contributorId":200306,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dilkina, Bistra","contributorId":177110,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","affiliations":[],"preferred":false,"id":722410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. 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Conservation of sport fisheries and populations of several native fishes in the western United States is dependent on sustained success of removal programs targeting invasive Lake Trout Salvelinus namaycush. Gill-netting of spawning adults is one strategy used to decrease spawning success; however, additional complementary methods are needed to disrupt Lake Trout reproduction where bycatch in gill nets is unacceptable. We developed and tested two portable electrode arrays designed to increase Lake Trout embryo mortality in known spawning areas. Both arrays were powered by existing commercial electrofishing equipment. However, one array was moved across the substrate to simulate being towed behind a boat (i.e., towed array), while the other array was lowered from a boat and energized when sedentary (i.e., sedentary array). The arrays were tested on embryos placed within substrates of known spawning areas. Both arrays increased mortality of embryos (>90%) at the surface of substrates, but only the sedentary array was able to increase mortality to >90% at deeper burial depths. In contrast, embryos at increasingly deeper depths exhibited progressively lower mortality when exposed to the towed array. Mortality of embryos placed under 20 cm of substrate and exposed to the towed array was not significantly different from that of unexposed embryos in a control group. We suggest that the sedentary array could be used as a viable approach for increasing mortality of Lake Trout embryos buried to 20 cm and that it could be modified to be effective at deeper depths.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1269031","usgsCitation":"Brown, P.J., Guy, C.S., and Meeuwig, M.H., 2017, A comparison of two mobile electrode arrays for increasing mortality of Lake Trout embryos: North American Journal of Fisheries Management, v. 37, no. 2, p. 363-369, https://doi.org/10.1080/02755947.2016.1269031.","productDescription":"7 p.","startPage":"363","endPage":"369","ipdsId":"IP-071624","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"5a07e85ae4b09af898c8cb56","contributors":{"authors":[{"text":"Brown, Peter J.","contributorId":198607,"corporation":false,"usgs":false,"family":"Brown","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":716541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meeuwig, Michael H.","contributorId":198608,"corporation":false,"usgs":false,"family":"Meeuwig","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192620,"text":"70192620 - 2017 - Basis function models for animal movement","interactions":[],"lastModifiedDate":"2017-11-10T11:12:34","indexId":"70192620","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2527,"text":"Journal of the American Statistical Association","active":true,"publicationSubtype":{"id":10}},"title":"Basis function models for animal movement","docAbstract":"

Advances in satellite-based data collection techniques have served as a catalyst for new statistical methodology to analyze these data. In wildlife ecological studies, satellite-based data and methodology have provided a wealth of information about animal space use and the investigation of individual-based animal–environment relationships. With the technology for data collection improving dramatically over time, we are left with massive archives of historical animal telemetry data of varying quality. While many contemporary statistical approaches for inferring movement behavior are specified in discrete time, we develop a flexible continuous-time stochastic integral equation framework that is amenable to reduced-rank second-order covariance parameterizations. We demonstrate how the associated first-order basis functions can be constructed to mimic behavioral characteristics in realistic trajectory processes using telemetry data from mule deer and mountain lion individuals in western North America. Our approach is parallelizable and provides inference for heterogenous trajectories using nonstationary spatial modeling techniques that are feasible for large telemetry datasets. Supplementary materials for this article are available online.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01621459.2016.1246250","usgsCitation":"Hooten, M., and Johnson, D., 2017, Basis function models for animal movement: Journal of the American Statistical Association, v. 112, no. 518, p. 578-589, https://doi.org/10.1080/01621459.2016.1246250.","productDescription":"12 p.","startPage":"578","endPage":"589","ipdsId":"IP-072343","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469371,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Basis_Function_Models_for_Animal_Movement/4052175","text":"External Repository"},{"id":348569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"518","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-13","publicationStatus":"PW","scienceBaseUri":"5a06c8c7e4b09af898c860ee","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":716570,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193738,"text":"70193738 - 2017 - Skin and fur bacterial diversity and community structure on American southwestern bats: effects of habitat, geography and bat traits","interactions":[],"lastModifiedDate":"2017-11-06T10:46:44","indexId":"70193738","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Skin and fur bacterial diversity and community structure on American southwestern bats: effects of habitat, geography and bat traits","docAbstract":"

Microorganisms that reside on and in mammals, such as bats, have the potential to influence their host’s health and to provide defenses against invading pathogens. However, we have little understanding of the skin and fur bacterial microbiota on bats, or factors that influence the structure of these communities. The southwestern United States offers excellent sites for the study of external bat bacterial microbiota due to the diversity of bat species, the variety of abiotic and biotic factors that may govern bat bacterial microbiota communities, and the lack of the newly emergent fungal disease in bats, white-nose syndrome (WNS), in the southwest. To test these variables, we used 16S rRNA gene 454 pyrosequencing from swabs of external skin and fur surfaces from 163 bats from 13 species sampled from southeastern New Mexico to northwestern Arizona. Community similarity patterns, random forest models, and generalized linear mixed-effects models show that factors such as location (e.g., cave-caught versus surface-netted) and ecoregion are major contributors to the structure of bacterial communities on bats. Bats caught in caves had a distinct microbial community compared to those that were netted on the surface. Our results provide a first insight into the distribution of skin and fur bat bacteria in the WNS-free environment of New Mexico and Arizona. More importantly, it provides a baseline of bat external microbiota that can be explored for potential natural defenses against pathogens.

","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.3944","usgsCitation":"Winter, A.S., Hathaway, J., Kimble, J.C., Buecher, D.C., Valdez, E.W., Porras-Alfaro, A., Young, J.M., Read, K.J., and Northup, D.E., 2017, Skin and fur bacterial diversity and community structure on American southwestern bats: effects of habitat, geography and bat traits: PeerJ, v. 5, e3944, https://doi.org/10.7717/peerj.3944.","productDescription":"e3944","ipdsId":"IP-080221","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":461365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.3944","text":"Publisher Index Page"},{"id":348247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-27","publicationStatus":"PW","scienceBaseUri":"5a07e84be4b09af898c8cb3e","contributors":{"authors":[{"text":"Winter, Ara S.","contributorId":199826,"corporation":false,"usgs":false,"family":"Winter","given":"Ara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hathaway, Jennifer J. M.","contributorId":199829,"corporation":false,"usgs":false,"family":"Hathaway","given":"Jennifer J. M.","affiliations":[],"preferred":false,"id":720129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimble, Jason C.","contributorId":199827,"corporation":false,"usgs":false,"family":"Kimble","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":720124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Porras-Alfaro, Andrea","contributorId":193660,"corporation":false,"usgs":false,"family":"Porras-Alfaro","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":720130,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Jesse M.","contributorId":199828,"corporation":false,"usgs":false,"family":"Young","given":"Jesse","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Read, Kaitlyn J. H.","contributorId":199830,"corporation":false,"usgs":false,"family":"Read","given":"Kaitlyn","email":"","middleInitial":"J. H.","affiliations":[],"preferred":false,"id":720131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Northup, Diana E.","contributorId":193656,"corporation":false,"usgs":false,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720132,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70193779,"text":"70193779 - 2017 - Perspectives on chemical oceanography in the 21st century: Participants of the COME ABOARD Meeting examine aspects of the field in the context of 40 years of DISCO","interactions":[],"lastModifiedDate":"2017-11-06T10:56:13","indexId":"70193779","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Perspectives on chemical oceanography in the 21st century: Participants of the COME ABOARD Meeting examine aspects of the field in the context of 40 years of DISCO","docAbstract":"

The questions that chemical oceanographers prioritize over the coming decades, and the methods we use to address these questions, will define our field's contribution to 21st century science. In recognition of this, the U.S. National Science Foundation and National Oceanic and Atmospheric Administration galvanized a community effort (the Chemical Oceanography MEeting: A BOttom-up Approach to Research Directions, or COME ABOARD) to synthesize bottom-up perspectives on selected areas of research in Chemical Oceanography. Representing only a small subset of the community, COME ABOARD participants did not attempt to identify targeted research directions for the field. Instead, we focused on how best to foster diverse research in Chemical Oceanography, placing emphasis on the following themes: strengthening our core chemical skillset; expanding our tools through collaboration with chemists, engineers, and computer scientists; considering new roles for large programs; enhancing interface research through interdisciplinary collaboration; and expanding ocean literacy by engaging with the public. For each theme, COME ABOARD participants reflected on the present state of Chemical Oceanography, where the community hopes to go and why, and actionable pathways to get there. A unifying concept among the discussions was that dissimilar funding structures and metrics of success may be required to accommodate the various levels of readiness and stages of knowledge development found throughout our community. In addition to the science, participants of the concurrent Dissertations Symposium in Chemical Oceanography (DISCO) XXV, a meeting of recent and forthcoming Ph.D. graduates in Chemical Oceanography, provided perspectives on how our field could show leadership in addressing long-standing diversity and early-career challenges that are pervasive throughout science. Here we summarize the COME ABOARD Meeting discussions, providing a synthesis of reflections and perspectives on the field.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2017.09.002","usgsCitation":"Fassbender, A.J., Palevsky, H.I., Martz, T.R., Ingalls, A.E., Gledhill, M., Fawcett, S.E., Brandes, J., Aluwihare, L., Anderson, R., Bender, S., Boyle, E., Bronk, D., Buesseler, K., Burdige, D.J., Casciotti, K., Close, H., Conte, M., Cutter, G., Estapa, M., Fennel, K., Ferron, S., Glazer, B., Goni, M., Grand, M., Guay, C., Hatta, M., Hayes, C., Horner, T., Ingall, E., Johnson, K.G., Juranek, L., Knapp, A., Lam, P., Luther, G., Matrai, P., Nicholson, D., Paytan, A., Pellenbarg, R., Popendorf, K., Reddy, C.M., Ruttenberg, K., Sabine, C., Sansone, F., Shaltout, N., Sikes, L., Sundquist, E.T., Valentine, D., Wang, Z., Wilson, S., Barrett, P., Behrens, M., Belcher, A., Biermann, L., Boiteau, R., Clarke, J., Collins, J., Coppola, A., Ebling, A.M., Garcia-Tigreros, F., Goldman, J., Guallart, E.F., Haskell, W., Hurley, S., Janssen, D., Johnson, W., Lennhartz, S., Liu, S., Rahman, S., Ray, D., Sarkar, A., Steiner, Z., Widner, B., and Yang, B., 2017, Perspectives on chemical oceanography in the 21st century: Participants of the COME ABOARD Meeting examine aspects of the field in the context of 40 years of DISCO: Marine Chemistry, v. 196, p. 181-190, https://doi.org/10.1016/j.marchem.2017.09.002.","productDescription":"10 p.","startPage":"181","endPage":"190","ipdsId":"IP-089425","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":461357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marchem.2017.09.002","text":"Publisher Index Page"},{"id":348251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e84be4b09af898c8cb3c","contributors":{"authors":[{"text":"Fassbender, Andrea 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The population of beluga whales in Cook Inlet, Alaska, USA, declined by nearly half in the mid-1990s, primarily from an unsustainable harvest, and was listed as endangered in 2008. In 2014, abundance was ~340 whales, and the population trend during 1999-2014 was -1.3% yr-1. Cook Inlet beluga whales are particularly vulnerable to anthropogenic impacts, and noise that has the potential to reduce communication and echolocation range considerably has been documented in critical habitat; thus, noise was ranked as a high potential threat in the Cook Inlet beluga Recovery Plan. The current recovery strategy includes research on effects of threats potentially limiting recovery, and thus we examined the potential impact of anthropogenic noise in critical habitat, specifically, spatial displacement. Using a subset of data on anthropogenic noise and beluga detections from a 5 yr acoustic study, we evaluated the influence of noise events on beluga occupancy probability. We used occupancy models, which account for factors that affect detection probability when estimating occupancy, the first application of these models to examine the potential impacts of anthropogenic noise on marine mammal behavior. Results were inconclusive, primarily because beluga detections were relatively infrequent. Even though noise metrics (sound pressure level and noise duration) appeared in high-ranking models as covariates for occupancy probability, the data were insufficient to indicate better predictive ability beyond those models that only included environmental covariates. Future studies that implement protocols designed specifically for beluga occupancy will be most effective for accurately estimating the effect of noise on beluga displacement.

","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00786","usgsCitation":"Small, R.J., Brost, B.M., Hooten, M., Castellote, M., and Mondragon, J., 2017, Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat: Endangered Species Research, v. 32, p. 43-57, https://doi.org/10.3354/esr00786.","productDescription":"15 p.","startPage":"43","endPage":"57","ipdsId":"IP-070647","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00786","text":"Publisher Index Page"},{"id":348568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.46777343749997,\n 58.95000823335702\n ],\n [\n -149.23828125,\n 58.95000823335702\n ],\n [\n -149.23828125,\n 61.543641475549954\n ],\n [\n -154.46777343749997,\n 61.543641475549954\n ],\n [\n -154.46777343749997,\n 58.95000823335702\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c7e4b09af898c860e8","contributors":{"authors":[{"text":"Small, Robert J.","contributorId":171486,"corporation":false,"usgs":false,"family":"Small","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brost, Brian M.","contributorId":171484,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castellote, Manuel","contributorId":200241,"corporation":false,"usgs":false,"family":"Castellote","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":721569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mondragon, Jeffrey","contributorId":200242,"corporation":false,"usgs":false,"family":"Mondragon","given":"Jeffrey","affiliations":[],"preferred":false,"id":721570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192628,"text":"70192628 - 2017 - A model-based approach to wildland fire reconstruction using sediment charcoal records","interactions":[],"lastModifiedDate":"2017-11-08T16:59:23","indexId":"70192628","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"A model-based approach to wildland fire reconstruction using sediment charcoal records","docAbstract":"

Lake sediment charcoal records are used in paleoecological analyses to reconstruct fire history, including the identification of past wildland fires. One challenge of applying sediment charcoal records to infer fire history is the separation of charcoal associated with local fire occurrence and charcoal originating from regional fire activity. Despite a variety of methods to identify local fires from sediment charcoal records, an integrated statistical framework for fire reconstruction is lacking. We develop a Bayesian point process model to estimate the probability of fire associated with charcoal counts from individual-lake sediments and estimate mean fire return intervals. A multivariate extension of the model combines records from multiple lakes to reduce uncertainty in local fire identification and estimate a regional mean fire return interval. The univariate and multivariate models are applied to 13 lakes in the Yukon Flats region of Alaska. Both models resulted in similar mean fire return intervals (100–350 years) with reduced uncertainty under the multivariate model due to improved estimation of regional charcoal deposition. The point process model offers an integrated statistical framework for paleofire reconstruction and extends existing methods to infer regional fire history from multiple lake records with uncertainty following directly from posterior distributions.

","language":"English","publisher":"Wiley","doi":"10.1002/env.2450","usgsCitation":"Itter, M.S., Finley, A., Hooten, M., Higuera, P., Marlon, J.R., Kelly, R., and McLachlan, J.S., 2017, A model-based approach to wildland fire reconstruction using sediment charcoal records: Environmetrics, v. 28, no. 7, p. 1-15, https://doi.org/10.1002/env.2450.","productDescription":"e2450; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-081669","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469372,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/1612.02382","text":"External Repository"},{"id":348520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a0425b2e4b0dc0b45b45316","contributors":{"authors":[{"text":"Itter, Malcolm S.","contributorId":193084,"corporation":false,"usgs":false,"family":"Itter","given":"Malcolm","email":"","middleInitial":"S.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":716585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":716586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higuera, Philip E.","contributorId":100741,"corporation":false,"usgs":true,"family":"Higuera","given":"Philip E.","affiliations":[],"preferred":false,"id":716587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marlon, Jennifer R.","contributorId":23432,"corporation":false,"usgs":true,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Ryan","contributorId":172597,"corporation":false,"usgs":false,"family":"Kelly","given":"Ryan","affiliations":[],"preferred":false,"id":716589,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLachlan, Jason S.","contributorId":167179,"corporation":false,"usgs":false,"family":"McLachlan","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716590,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192684,"text":"70192684 - 2017 - Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world","interactions":[],"lastModifiedDate":"2017-11-06T15:47:49","indexId":"70192684","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world","title":"Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world","docAbstract":"

We present the first description of the breeding biology for the Fruithunter (Chlamydochaera jefferyi), a member of the cosmopolitan family Turdidae, and a montane endemic to the tropical Asian island of Borneo. We also compile breeding biology traits from the literature to make comparisons between the Fruithunter and the thrush genus Turdus. Our comparisons indicate that Fruithunters exhibit a slower life history strategy than both tropical and north temperate Turdus. We located and monitored 42 nests in 7 years in Kinabalu Park, Sabah, Malaysia. The mean clutch size was 1.89 ± 0.08 eggs, and the modal clutch size was 2 eggs. Mean fresh egg mass was 6.15 ± 0.13 g, representing 9.5% of adult female body mass. Average lengths of incubation and nestling periods were 14.56 ± 0.24 and 17.83 ± 0.31 days respectively. Only the female incubated and brooded the eggs and nestlings, but both the male and female fed nestlings. Female attentiveness during incubation was high throughout, reaching an asymptote around 85% with average on-bouts of 39.0 ± 2.5 mins. The daily nest survival probability was 0.951 ± 0.025, and the daily predation rate was 0.045 ± 0.024. Female feeding rate increased as brooding effort decreased, suggesting that female feeding rate may be constrained by the need to provide heat while nestlings are unable to thermoregulate. This contrasts with the feeding behavior of males, which showed much less of an increase across the nestling period. Furthermore, we describe a new vocalization which expands the vocal repertoire for Fruithunters, and we provide a brief audio clip and spectrogram.

","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/1559-4491-129.1.36","usgsCitation":"Mitchell, A.E., Tuh, F., and Martin, T.E., 2017, Breeding biology of an endemic Bornean turdid, the Fruithunter (Chlamydochaera jefferyi), and life history comparisons with Turdus species of the world: Wilson Journal of Ornithology, v. 129, no. 1, p. 36-45, https://doi.org/10.1676/1559-4491-129.1.36.","productDescription":"10 p.","startPage":"36","endPage":"45","ipdsId":"IP-073118","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e84de4b09af898c8cb4a","contributors":{"authors":[{"text":"Mitchell, Adam E.","contributorId":166758,"corporation":false,"usgs":false,"family":"Mitchell","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":720753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuh, Fred","contributorId":200036,"corporation":false,"usgs":false,"family":"Tuh","given":"Fred","email":"","affiliations":[],"preferred":false,"id":720754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193180,"text":"70193180 - 2017 - Concepts: Assessing tiger population dynamics using capture–recapture sampling","interactions":[],"lastModifiedDate":"2017-12-21T09:46:04","indexId":"70193180","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Concepts: Assessing tiger population dynamics using capture–recapture sampling","docAbstract":"Capture-recapture can be viewed as an animal survey method in which the count statistic is the total number of animals caught, and the associated detection probability is the probability of capture.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods for monitoring tiger and prey populations","language":"English","publisher":"Springer","doi":"10.1007/978-981-10-5436-5_9","usgsCitation":"Royle, J., Gopalaswamy, A.M., Dorazio, R., Nichols, J., Jathanna, D., and Parameshwaran, R., 2017, Concepts: Assessing tiger population dynamics using capture–recapture sampling, chap. of Methods for monitoring tiger and prey populations, p. 163-189, https://doi.org/10.1007/978-981-10-5436-5_9.","productDescription":"27 p.","startPage":"163","endPage":"189","ipdsId":"IP-086080","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-28","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d20","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":718129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gopalaswamy, Arjun M.","contributorId":199394,"corporation":false,"usgs":false,"family":"Gopalaswamy","given":"Arjun","email":"","middleInitial":"M.","affiliations":[{"id":20302,"text":"Univeristy of Oxford","active":true,"usgs":false},{"id":35775,"text":"Indian Statistical Institute, Bangalore, India","active":true,"usgs":false}],"preferred":false,"id":718131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":718132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":199078,"corporation":false,"usgs":false,"family":"Nichols","given":"James D.","affiliations":[],"preferred":false,"id":718130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jathanna, Devcharan","contributorId":74270,"corporation":false,"usgs":true,"family":"Jathanna","given":"Devcharan","email":"","affiliations":[],"preferred":false,"id":718133,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parameshwaran, Ravishankar","contributorId":199081,"corporation":false,"usgs":false,"family":"Parameshwaran","given":"Ravishankar","email":"","affiliations":[],"preferred":false,"id":718134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193169,"text":"70193169 - 2017 - Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality","interactions":[],"lastModifiedDate":"2017-11-20T15:26:00","indexId":"70193169","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality","docAbstract":"

Environmental filtering and competitive exclusion are hypotheses frequently invoked in explaining species' environmental niches (i.e., geographic distributions). A key assumption in both hypotheses is that the functional niche (i.e., species traits) governs the environmental niche, but few studies have rigorously evaluated this assumption. Furthermore, phylogeny could be associated with these hypotheses if it is predictive of functional niche similarity via phylogenetic signal or convergent evolution, or of environmental niche similarity through phylogenetic attraction or repulsion. The objectives of this study were to investigate relationships between environmental niches, functional niches, and phylogenies of fishes of the Upper (UCRB) and Lower (LCRB) Colorado River Basins of southwestern North America. We predicted that functionally similar species would have similar environmental niches (i.e., environmental filtering) and that closely related species would be functionally similar (i.e., phylogenetic signal) and possess similar environmental niches (i.e., phylogenetic attraction). Environmental niches were quantified using environmental niche modeling, and functional similarity was determined using functional trait data. Nonnatives in the UCRB provided the only support for environmental filtering, which resulted from several warmwater nonnatives having dam number as a common predictor of their distributions, whereas several cool- and coldwater nonnatives shared mean annual air temperature as an important distributional predictor. Phylogenetic signal was supported for both natives and nonnatives in both basins. Lastly, phylogenetic attraction was only supported for native fishes in the LCRB and for nonnative fishes in the UCRB. Our results indicated that functional similarity was heavily influenced by evolutionary history, but that phylogenetic relationships and functional traits may not always predict the environmental distribution of species. However, the similarity of environmental niches among warmwater centrarchids, ictalurids, fundulids, and poeciliids in the UCRB indicated that dam removals could influence the distribution of these nonnatives simultaneously, thus providing greater conservation benefits. However, this same management strategy would have more limited effects on nonnative salmonids, catostomids, and percids with colder temperature preferences, thus necessitating other management strategies to control these species.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1658","usgsCitation":"Whitney, J.E., Whittier, J.B., and Paukert, C.P., 2017, Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality: Ecosphere, v. 8, no. 1, p. 1-21, https://doi.org/10.1002/ecs2.1658.","productDescription":"Article e01658; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-076772","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1658","text":"Publisher Index Page"},{"id":349155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115,\n 30\n ],\n [\n -105,\n 30\n ],\n [\n -105,\n 43\n ],\n [\n -115,\n 43\n ],\n [\n -115,\n 30\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d23","contributors":{"authors":[{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":722919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":718117,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194264,"text":"70194264 - 2017 - Use of swabs for sampling epithelial cells for molecular genetics analyses in Enteroctopus","interactions":[],"lastModifiedDate":"2018-05-20T12:29:34","indexId":"70194264","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":735,"text":"American Malacological Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Use of swabs for sampling epithelial cells for molecular genetics analyses in Enteroctopus","title":"Use of swabs for sampling epithelial cells for molecular genetics analyses in Enteroctopus","docAbstract":"

We evaluated the efficacy of using swabs to collect cells from the epidermis of octopus as a non-invasive DNA source for classical genetic studies, and demonstrated value of the technique by incorporating it into an effort to determine, within a day, the lineage of captured, live Enteroctopus (E. dofleini or a cryptic lineage). The cryptic lineage was targeted for captive behavioral and morphological studies, while once genetically identified, the non-target lineage could be more rapidly released back to the wild. We used commercially available sterile foamtipped swabs and a high-salt preservation buffer to collect and store paired swab and muscle (arm tip) tissue sampled from live Enteroctopus collected from Prince William Sound, Alaska. We performed a one-day extraction of DNA from epithelial swab samples and amplification of two diagnostic microsatellite loci to determine the lineage of each of the 21 individuals. Following this rapid lineage assessment, which allowed us to release non-target individuals within a day of laboratory work, we compared paired swab and muscle tissue samples from each individual to assess quantity of DNA yields and consistency of genotyping results, followed by assessment of locus-by-locus reliability of DNA extracts from swabs. Epithelial swabs yielded, on average, lower quantities of DNA (170.32 ± 74.72 (SD) ng/μL) relative to DNA obtained from tissues collected using invasive or destructive techniques (310.95 ± 147.37 (SD) ng/μL. We observed some decrease in yields of DNA from extractions of swab samples conducted 19 and 31 months after initial extractions when samples were stored at room temperature in lysis buffer. All extractions yielded quantities of DNA sufficient to amplify and score all loci, which included fragment data from 10 microsatellite loci (nine polymorphic loci and monomorphic locus EdoμA106), and nucleotide sequence data from a 528 base pair portion of the nuclear octopine dehydrogenase gene. All results from genotyping and sequencing using paired swab and muscle tissue extracts were concordant, and experimental reliability levels for multilocus genotypes generated from swab samples exceeded 97%. This technique is useful for studies in which invasive sampling is not optimal, and in remote field situations since samples can be stored at ambient temperatures for at least 31 months. The use of epithelial swabs is thus a noninvasive technique appropriate for sampling genetic material from live octopuses for use in classical genetic studies as well as supporting experimental and behavioral studies.

","language":"English","publisher":"American Malacological Society","doi":"10.4003/006.035.0207","usgsCitation":"Hollenback, N., Scheel, D., Gravley, M.C., Sage, G.K., Toussaint, R.K., and Talbot, S.L., 2017, Use of swabs for sampling epithelial cells for molecular genetics analyses in Enteroctopus: American Malacological Bulletin, v. 35, no. 2, p. 145-157, https://doi.org/10.4003/006.035.0207.","productDescription":"13 p.","startPage":"145","endPage":"157","ipdsId":"IP-070408","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438159,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VM49HJ","text":"USGS data release","linkHelpText":"Enteroctopus Sampling Effects on Genetic Data, Prince William Sound, Alaska, 2012-2015"},{"id":349291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d0d","contributors":{"authors":[{"text":"Hollenback, Nathan","contributorId":200637,"corporation":false,"usgs":false,"family":"Hollenback","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":722947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheel, David","contributorId":53272,"corporation":false,"usgs":false,"family":"Scheel","given":"David","email":"","affiliations":[],"preferred":false,"id":722948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gravley, Megan C. 0000-0002-4947-0236 mgravley@usgs.gov","orcid":"https://orcid.org/0000-0002-4947-0236","contributorId":202812,"corporation":false,"usgs":true,"family":"Gravley","given":"Megan","email":"mgravley@usgs.gov","middleInitial":"C.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":722949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":722950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toussaint, Rebecca K.","contributorId":104376,"corporation":false,"usgs":false,"family":"Toussaint","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722951,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":722946,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70194266,"text":"70194266 - 2017 - The gold tegu, Tupinambis teguixin (Linnaeus, 1758) sensu lato (Squamata: Teiidae): evidence for an established population in Florida","interactions":[],"lastModifiedDate":"2017-11-22T13:47:42","indexId":"70194266","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":994,"text":"BioInvasions Records","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The gold tegu, Tupinambis teguixin (Linnaeus, 1758) sensu lato (Squamata: Teiidae): evidence for an established population in Florida","title":"The gold tegu, Tupinambis teguixin (Linnaeus, 1758) sensu lato (Squamata: Teiidae): evidence for an established population in Florida","docAbstract":"

Gold tegus, Tupinambis teguixin (Linnaeus, 1758), are generalist predators from South America and are ecologically similar to Argentine black and white tegus (Salvator merianae), a successful invader in Florida. We trapped gold tegus in Broward and Miami-Dade counties, Florida, USA. In Miami-Dade County, collection occurred from 2008 through 2016. We combined new trapping records with previous literature records. Ten gold tegus of both sexes and multiple size classes over a nine year period indicate a reproducing population in Miami-Dade County. Tupinambis teguixin is the sixth established non-native teiid species in Florida. Additionally, we report Tupinambis teguixin from Sarasota and Lee counties, Florida, USA. Determining population status in those counties requires further study. It is critical to differentiate this species fromSalvator merianae during removal efforts. The possibility of eradicating Tupinambis teguixin exists if proper identification enables reliable monitoring of the populations.

","language":"English","publisher":"REABIC","doi":"10.3391/bir.2017.6.4.16","usgsCitation":"Edwards, J.R., Ketterlin, J.K., Rochford, M.R., Irwin, R., Krysko, K.L., Duquesnel, J., Mazzotti, F., and Reed, R., 2017, The gold tegu, Tupinambis teguixin (Linnaeus, 1758) sensu lato (Squamata: Teiidae): evidence for an established population in Florida: BioInvasions Records, v. 6, no. 4, p. 407-410, https://doi.org/10.3391/bir.2017.6.4.16.","productDescription":"4 p.","startPage":"407","endPage":"410","ipdsId":"IP-086857","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":461359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2017.6.4.16","text":"Publisher Index Page"},{"id":349286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.760009765625,\n 24.956180020055925\n ],\n [\n -79.837646484375,\n 24.956180020055925\n ],\n [\n -79.837646484375,\n 27.49852672279832\n ],\n [\n -82.760009765625,\n 27.49852672279832\n ],\n [\n -82.760009765625,\n 24.956180020055925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d0a","contributors":{"authors":[{"text":"Edwards, Jake R.","contributorId":200643,"corporation":false,"usgs":false,"family":"Edwards","given":"Jake","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ketterlin, Jennifer K.","contributorId":200785,"corporation":false,"usgs":false,"family":"Ketterlin","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rochford, Michael R.","contributorId":200644,"corporation":false,"usgs":false,"family":"Rochford","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Rodney","contributorId":200645,"corporation":false,"usgs":false,"family":"Irwin","given":"Rodney","email":"","affiliations":[],"preferred":false,"id":722962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krysko, Kenneth L.","contributorId":200646,"corporation":false,"usgs":false,"family":"Krysko","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duquesnel, James G.","contributorId":172802,"corporation":false,"usgs":false,"family":"Duquesnel","given":"James G.","affiliations":[],"preferred":false,"id":722964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":722965,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722958,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193545,"text":"70193545 - 2017 - Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community","interactions":[],"lastModifiedDate":"2017-11-14T13:08:41","indexId":"70193545","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","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":"Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community","docAbstract":"

Golden-winged Warbler (Vermivora chrysoptera) populations in the Appalachian Mountains region of North America are imperiled, warranting species-specific conservation. However, management for Golden-winged Warblers can affect both early-successional and forest species, many of which are also declining in the region. We conducted point counts in sites representing a range of successional stages within the Golden-winged Warbler's breeding range in West Virginia, USA, during 2008–2015. We identified plausible models of Golden-winged Warbler density using covariates at 4 spatial scales representing annual dispersal (5-km radius), extraterritorial movement (1.5-km radius), intraterritorial movement (100-m radius), and local resource utilization (11.3-m radius). Golden-winged Warbler density peaked at an intermediate elevation at the 1.5-km radius scale, but was negatively associated with 100-m radius minimum elevation. Density was positively associated with 100-m radius shrubland cover. Southerly latitudes were associated with higher densities when modeled alone, but there was no association when controlling for other covariates. We then examined the relationship between covariates from these plausible models and avian community structure using canonical correspondence analysis to assess the value of Golden-winged Warbler conservation for the broader avian community. We identified 5 species likely to benefit from management for Golden-winged Warblers and 21 species likely to be affected positively or negatively to varying degrees depending on their affinity for early-successional vegetation communities. Golden-winged Warblers were plotted higher along the 100-m shrubland cover gradient than any other bird species, suggesting that they may be the most shrubland area–sensitive songbird in our study area. However, the species also requires heavily forested landscapes. Therefore, a species-specific conservation strategy that balances shrubland (patches of 9–13 ha in size, comprising 15% of the landscape) and contiguous forest area (≥75% of the landscape) could concurrently meet the needs of Golden-winged Warblers and the 26 other species identified.

","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-49.1","usgsCitation":"Aldinger, K.R., Wood, P.B., and Johnson, C.M., 2017, Refined conservation strategies for Golden-winged Warblers in the West Virginia highlands with implications for the broader avian community: The Condor, v. 119, no. 4, p. 762-786, https://doi.org/10.1650/CONDOR-17-49.1.","productDescription":"25 p.","startPage":"762","endPage":"786","ipdsId":"IP-085074","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-49.1","text":"Publisher Index Page"},{"id":348822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.8868408203125,\n 37.470498470798724\n ],\n [\n -78.9697265625,\n 37.470498470798724\n ],\n [\n -78.9697265625,\n 39.71986348549764\n ],\n [\n -80.8868408203125,\n 39.71986348549764\n ],\n [\n -80.8868408203125,\n 37.470498470798724\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d1a","contributors":{"authors":[{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":719321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Catherine M.","contributorId":53939,"corporation":false,"usgs":true,"family":"Johnson","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193532,"text":"70193532 - 2017 - Defining a Safe Operating Space for inland recreational fisheries","interactions":[],"lastModifiedDate":"2017-11-14T13:44:02","indexId":"70193532","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Defining a Safe Operating Space for inland recreational fisheries","docAbstract":"

The Safe Operating Space (SOS) of a recreational fishery is the multidimensional region defined by levels of harvest, angler effort, habitat, predation and other factors in which the fishery is sustainable into the future. SOS boundaries exhibit trade-offs such that decreases in harvest can compensate to some degree for losses of habitat, increases in predation and increasing value of fishing time to anglers. Conversely, high levels of harvest can be sustained if habitat is intact, predation is low, and value of fishing effort is moderate. The SOS approach recognizes limits in several dimensions: at overly high levels of harvest, habitat loss, predation, or value of fishing effort, the stock falls to a low equilibrium biomass. Recreational fisheries managers can influence harvest and perhaps predation, but they must cope with trends that are beyond their control such as changes in climate, loss of aquatic habitat or social factors that affect the value of fishing effort for anglers. The SOS illustrates opportunities to manage harvest or predation to maintain quality fisheries in the presence of trends in climate, social preferences or other factors that are not manageable.

","language":"English","publisher":"Wiley","doi":"10.1111/faf.12230","usgsCitation":"Carpenter, S.R., Brock, W.A., Hansen, G.J., Hansen, J.F., Hennessy, J., Isermann, D.A., Pedersen, E.J., Perales, K.M., Rypel, A.L., Sass, G., Tunney, T.D., and Vander Zanden, M.J., 2017, Defining a Safe Operating Space for inland recreational fisheries: Fish and Fisheries, v. 18, no. 6, p. 1150-1160, https://doi.org/10.1111/faf.12230.","productDescription":"11 p.","startPage":"1150","endPage":"1160","ipdsId":"IP-082123","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-23","publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d1d","contributors":{"authors":[{"text":"Carpenter, Stephen R. 0000-0001-8097-8700","orcid":"https://orcid.org/0000-0001-8097-8700","contributorId":196945,"corporation":false,"usgs":false,"family":"Carpenter","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, William A.","contributorId":199492,"corporation":false,"usgs":false,"family":"Brock","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":719289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Jonathan F.","contributorId":171519,"corporation":false,"usgs":false,"family":"Hansen","given":"Jonathan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":719290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hennessy, Joseph M.","contributorId":199495,"corporation":false,"usgs":false,"family":"Hennessy","given":"Joseph M.","affiliations":[],"preferred":false,"id":719291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719286,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pedersen, Eric J.","contributorId":199496,"corporation":false,"usgs":false,"family":"Pedersen","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":719292,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perales, K. Martin","contributorId":199497,"corporation":false,"usgs":false,"family":"Perales","given":"K.","email":"","middleInitial":"Martin","affiliations":[],"preferred":false,"id":719293,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rypel, Andrew L.","contributorId":199498,"corporation":false,"usgs":false,"family":"Rypel","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":719294,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sass, Greg G.","contributorId":31281,"corporation":false,"usgs":true,"family":"Sass","given":"Greg G.","affiliations":[],"preferred":false,"id":719295,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tunney, Tyler D.","contributorId":177327,"corporation":false,"usgs":false,"family":"Tunney","given":"Tyler","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":719296,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vander Zanden, M. Jake","contributorId":174392,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"M.","email":"","middleInitial":"Jake","affiliations":[],"preferred":false,"id":719297,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70194283,"text":"70194283 - 2017 - Restoration of contaminated ecosystems: adaptive management in a changing climate","interactions":[],"lastModifiedDate":"2017-11-22T11:54:31","indexId":"70194283","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of contaminated ecosystems: adaptive management in a changing climate","docAbstract":"

Three case studies illustrate how adaptive management (AM) has been used in ecological restorations that involve contaminants. Contaminants addressed include mercury, selenium, and contaminants and physical disturbances delivered to streams by urban stormwater runoff. All three cases emphasize the importance of broad stakeholder input early and consistently throughout decision analysis for AM. Risk of contaminant exposure provided input to the decision analyses (e.g. selenium exposure to endangered razorback suckers, Stewart Lake; multiple contaminants in urban stormwater runoff, Melbourne) and was balanced with the protection of resources critical for a desired future state (e.g. preservation old growth trees, South River). Monitoring also played a critical role in the ability to conduct the decision analyses necessary for AM plans. For example, newer technologies in the Melbourne case provided a testable situation where contaminant concentrations and flow disturbance were reduced to support a return to good ecological condition. In at least one case (Stewart Lake), long-term monitoring data are being used to document the potential effects of climate change on a restoration trajectory. Decision analysis formalized the process by which stakeholders arrived at the priorities for the sites, which together constituted the desired future condition towards which each restoration is aimed. Alternative models were developed that described in mechanistic terms how restoration can influence the system towards the desired future condition. Including known and anticipated effects of future climate scenarios in these models will make them robust to the long-term exposure and effects of contaminants in restored ecosystems.

","language":"English","publisher":"Wiley","doi":"10.1111/rec.12583","usgsCitation":"Farag, A., Larson, D.L., Stauber, J., Stahl, R., Isanhart, J., McAbee, K., and Walsh, C.J., 2017, Restoration of contaminated ecosystems: adaptive management in a changing climate: Restoration Ecology, v. 25, no. 6, p. 884-893, https://doi.org/10.1111/rec.12583.","productDescription":"10 p.","startPage":"884","endPage":"893","ipdsId":"IP-080300","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":487214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12583","text":"Publisher Index Page"},{"id":349273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-08","publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d08","contributors":{"authors":[{"text":"Farag, Aida 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":200690,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":723065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauber, Jenny","contributorId":200691,"corporation":false,"usgs":false,"family":"Stauber","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":723067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahl, Ralph","contributorId":200692,"corporation":false,"usgs":false,"family":"Stahl","given":"Ralph","affiliations":[],"preferred":false,"id":723068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Isanhart, John 0000-0003-0208-1839","orcid":"https://orcid.org/0000-0003-0208-1839","contributorId":200693,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","email":"","affiliations":[],"preferred":false,"id":723069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McAbee, Kevin T.","contributorId":141327,"corporation":false,"usgs":false,"family":"McAbee","given":"Kevin T.","affiliations":[],"preferred":false,"id":723292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walsh, Christopher J.","contributorId":171683,"corporation":false,"usgs":false,"family":"Walsh","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723293,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192845,"text":"70192845 - 2017 - Effects of industrial and investigator disturbance on Arctic-nesting geese","interactions":[],"lastModifiedDate":"2017-11-01T16:54:00","indexId":"70192845","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of industrial and investigator disturbance on Arctic-nesting geese","docAbstract":"

Oil and gas development on the Arctic Coastal Plain (ACP) of Alaska, USA may have effects on Arctic-nesting birds. To estimate effects of industrial activity and investigator disturbance on avian productivity, we monitored nests of greater white-fronted geese (Anser albifrons) with digital cameras and periodic nest visits during 2013–2014 at 2 sites on the ACP. A disturbed site was adjacent to human-made infrastructure and industrial clean-up activities initiated at the onset of the study and a control site was >2 km from sources of industrial disturbance. We assessed variation in estimates of incubation constancy, nest survival, and predator behavior relative to site, year, and distance from industrial activity using nest photographs obtained at 1-minute intervals. We compared analysis of hourly nest survival informed by intensive monitoring with cameras to analysis of daily nest survival informed by traditional nest visit data obtained at intervals of 5–7 days to assess how method and time scale of sampling affect ecological inference. Geese in both sites exhibited high levels of nest attendance and initiated incubation breaks less than once per day. Observer-caused incubation breaks associated with nest visits (\"math = 37.8 min) were longer than other types of incubation breaks (\"math = 8.7 min), demonstrating a differential response by nesting geese to direct human encroachment versus indirect vehicular and aircraft traffic. During both years, geese were absent from nests more frequently in the disturbed (\"math = 0.9 breaks/day) than control (\"math = 0.6 breaks/day) site, and this break frequency was slightly higher for nests closer to industrial activity. In the year with high rates of depredation, nest survival was positively related to distance from industrial activity and abandoned infrastructure, consistent with predictions of industry-caused effects. This relationship, however, was not evident in the year with reduced predation pressure, likely because of annual variation in arctic fox (Vulpes lagopus) behavior. Analysis of nest survival probability informed by camera data allowed for detection of detailed patterns of variation that were not supported when using only visit data for the same nests. Observer visits were responsible for reductions of 7–35% in nest survival probability, highlighting the importance of minimizing, and controlling for, observer effects in studies of avian productivity. Indirect vehicular and aircraft disturbance posed less risk to nest survival than direct encroachment by observers at nest sites. Therefore, effects of industrial activities on avian productivity in the Arctic can be minimized through practices that limit direct encounters with nests. 

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21312","usgsCitation":"Meixell, B.W., and Flint, P.L., 2017, Effects of industrial and investigator disturbance on Arctic-nesting geese: Journal of Wildlife Management, v. 81, no. 8, p. 1372-1385, https://doi.org/10.1002/jwmg.21312.","productDescription":"14 p.","startPage":"1372","endPage":"1385","ipdsId":"IP-082311","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438162,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NV9GP9","text":"USGS data release","linkHelpText":"Greater White-fronted Goose (Anser albifrons) Nest Characteristics and Nesting Behavior Classifications from Time-lapse Photographs; Point Lonely, Alaska, 2013-2014"},{"id":348059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.31369400024414,\n 70.89024547571003\n ],\n [\n -153.21224212646484,\n 70.89024547571003\n ],\n [\n -153.21224212646484,\n 70.91613598862408\n ],\n [\n -153.31369400024414,\n 70.91613598862408\n ],\n [\n -153.31369400024414,\n 70.89024547571003\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-17","publicationStatus":"PW","scienceBaseUri":"59fadd1ee4b0531197b13c6c","contributors":{"authors":[{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717171,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194320,"text":"70194320 - 2017 - Pleistocene glaciers, lakes, and floods in north-central Washington State","interactions":[],"lastModifiedDate":"2017-11-30T13:31:09","indexId":"70194320","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Pleistocene glaciers, lakes, and floods in north-central Washington State","docAbstract":"The Methow, Chelan, Wenatchee, and other terrane blocks accreted in late Mesozoic to Eocene times. Methow valley is excavated in an exotic terrane of folded Mesozoic sedimentary and volcanic rocks faulted between crystalline blocks. Repeated floods of Columbia River Basalt about 16 Ma drowned a backarc basin to the southeast.\n\nCirques, aretes, and U-shaped hanging troughs brand the Methow, Skagit, and Chelan headwaters. The Late Wisconsin Cordilleran icesheet beveled the alpine topography and deposited drift. Cordilleran ice flowed into the heads of Methow tributaries and overflowed from Skagit tributaries to greatly augment Chelan trough's glacier. Joined Okanogan and Methow ice flowed down Columbia valley and up lower Chelan trough. This tongue met the icesheet tongue flowing southeast down Chelan valley. Successively lower ice-marginal channels and kame terraces show that the icesheet withered away largely by downwasting.\n\nImmense late Wisconsin floods from glacial Lake Missoula occasionally swept the Chelan-Vantage reach of Columbia valley by different routes. The earliest debacles, nearly 19,000 cal yr BP (by radiocarbon methods), raged 335 m deep down the Columbia and built high Pangborn bar at Wenatchee. As Cordilleran ice blocked the northwest of Columbia valley, several giant floods descended Moses Coulee and backflooded up the Columbia. As advancing ice then blocked Moses Coulee, Grand Coulee to Quincy basin became the westmost floodway. From Quincy basin many Missoula floods backflowed 50 km upvalley past Wenatchee 18,000 to 15,500 years ago. Receding ice dammed glacial Lake Columbia centuries more--till it burst about 15,000 years ago. After Glacier Peak ashfall about 13,600 years ago, smaller great flood(s) swept down the Columbia from glacial Lake Kootenay in British Columbia. A cache of huge fluted Clovis points had been laid atop Pangborn bar (East Wenatchee) after the Glacier Peak ashfall. Clovis people came two and a half millennia after the last small Missoula flood, two millennia after the glacial Lake Columbia flood.\n\nThis timing by radiocarbon methods is under review by newer exposure dating--10Be, 26Al, and 36Cl methods.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From the Puget Lowland to east of the Cascade Range—Geologic excursions in the Pacific Northwest: Geological Society of America Field Guide 49","language":"English","publisher":"Geological Society of America","isbn":"978-0-8137-0049-6","usgsCitation":"Waitt, R.B., 2017, Pleistocene glaciers, lakes, and floods in north-central Washington State, chap. of From the Puget Lowland to east of the Cascade Range—Geologic excursions in the Pacific Northwest: Geological Society of America Field Guide 49, p. 175-205.","productDescription":"31 p.","startPage":"175","endPage":"205","ipdsId":"IP-088267","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":349597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349596,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://rock.geosociety.org/Store/detail.aspx?id=FLD049"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d05","contributors":{"editors":[{"text":"Haugerud, Ralph A. 0000-0001-7302-4351 rhaugerud@usgs.gov","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":2691,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"rhaugerud@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724156,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Kelsey, Harvey M.","contributorId":101713,"corporation":false,"usgs":true,"family":"Kelsey","given":"Harvey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724157,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":723269,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70191540,"text":"70191540 - 2017 - Identity, reproductive potential, distribution, ecology and management of invasive Pomacea maculata in the southern United States","interactions":[],"lastModifiedDate":"2017-11-30T12:55:58","indexId":"70191540","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Identity, reproductive potential, distribution, ecology and management of invasive Pomacea maculata in the southern United States","docAbstract":"Established populations of introduced Pomacea maculata, a highly fecund, large species of apple snail native to South America, now occur throughout southeast Asia, in Spain and extensively across the southern United States. Substantial research on nonnative apple snails takes place in Southeast Asia and has frequently identified apple snails as P. canaliculata. That these Asian populations represent at least two Pomacea species, P. canaliculata and P. maculata, has been confirmed through anatomical and genetic\nevidence. However, the two species are often still confused because of their similar shell morphologies and life history traits. This contribution reviews the distribution, life history, ecology and management of P. maculata introduced to the southern USA. So far the agricultural impacts of P. maculata in the USA fail to match those of non-native applesnails elsewhere, but the invasion of wetlands by this species suggests the need for increased vigilance to prevent further spread and avoid the ecological impacts that have been associated elsewhere with P. canaliculata.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology and management of invasive apple snails","language":"English","publisher":"Philippine Rice Research Institute","usgsCitation":"Burks, R.L., Bernatis, J., Byers, J.E., Carter, J., Martin, C.M., McDowell, W.G., and Van Dyke, J., 2017, Identity, reproductive potential, distribution, ecology and management of invasive Pomacea maculata in the southern United States, chap. of Biology and management of invasive apple snails, p. 293-333.","productDescription":"41 p.","startPage":"293","endPage":"333","ipdsId":"IP-053402","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb23e4b06e28e9c22d2b","contributors":{"editors":[{"text":"Joshi, R. C.","contributorId":201033,"corporation":false,"usgs":false,"family":"Joshi","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":724141,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cowie, R. H.","contributorId":201034,"corporation":false,"usgs":false,"family":"Cowie","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":724142,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sebastian, L. S.","contributorId":201035,"corporation":false,"usgs":false,"family":"Sebastian","given":"L.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724143,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Burks, Romi L.","contributorId":197153,"corporation":false,"usgs":false,"family":"Burks","given":"Romi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernatis, Jennifer","contributorId":197154,"corporation":false,"usgs":false,"family":"Bernatis","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":712703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byers, James E.","contributorId":197155,"corporation":false,"usgs":false,"family":"Byers","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@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":712701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Charles M.","contributorId":55490,"corporation":false,"usgs":false,"family":"Martin","given":"Charles","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":712705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDowell, William G.","contributorId":197156,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":712706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Dyke, Jess","contributorId":197157,"corporation":false,"usgs":false,"family":"Van Dyke","given":"Jess","email":"","affiliations":[],"preferred":false,"id":712707,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196881,"text":"70196881 - 2017 - Geologic road guides for the Southern Canadian Cordillera--Viewing geology and tectonics along major highways","interactions":[],"lastModifiedDate":"2018-06-13T10:29:11","indexId":"70196881","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geologic road guides for the Southern Canadian Cordillera--Viewing geology and tectonics along major highways","docAbstract":"The Geologic Road Guides for the Southern Canadian Cordillera provide a layperson’s understanding of the major geologic units and their tectonic origins along portions of two sets of major highways corridors, herein termed the Southern Road Guide and the Northern Road Guide. The two routes are shown on the Southern Canadian Cordillera Geologic Map. The first page of each Road Guide is this map that has Hot Spots for each site.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Nokleberg, W.J., and Price, R.A., 2017, Geologic road guides for the Southern Canadian Cordillera--Viewing geology and tectonics along major highways, chap. of Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-book.","productDescription":"E-book","ipdsId":"IP-073136","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354958,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e64ee4b060350a15d280","contributors":{"editors":[{"text":"Bundtzen, Thomas K.","contributorId":192968,"corporation":false,"usgs":false,"family":"Bundtzen","given":"Thomas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":737871,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737792,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737793,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":737872,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Stone, David B.","contributorId":65324,"corporation":false,"usgs":true,"family":"Stone","given":"David B.","affiliations":[],"preferred":false,"id":737873,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737870,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193949,"text":"70193949 - 2017 - Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis","interactions":[],"lastModifiedDate":"2017-11-16T14:50:03","indexId":"70193949","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis","docAbstract":"

This paper proposes a geospatial analysis framework and software to interpret water-quality sampling data from towed undulating vehicles in near-real time. The framework includes data quality assurance and quality control processes, automated kriging interpolation along undulating paths, and local hotspot and cluster analyses. These methods are implemented in an interactive Web application developed using the Shiny package in the R programming environment to support near-real time analysis along with 2- and 3-D visualizations. The approach is demonstrated using historical sampling data from an undulating vehicle deployed at three rivermouth sites in Lake Michigan during 2011. The normalized root-mean-square error (NRMSE) of the interpolation averages approximately 10% in 3-fold cross validation. The results show that the framework can be used to track river plume dynamics and provide insights on mixing, which could be related to wind and seiche events.

","language":"English","publisher":"Elevier","doi":"10.1016/j.envsoft.2017.06.049","usgsCitation":"Collingsworth, P.D., Xu, W., Bailey, B., Carlson Mazur, M.L., Schaeffer, J., and Minsker, B., 2017, Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis: Environmental Modelling and Software, v. 97, p. 72-85, https://doi.org/10.1016/j.envsoft.2017.06.049.","productDescription":"14 p.","startPage":"72","endPage":"85","ipdsId":"IP-071315","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2017.06.049","text":"Publisher Index Page"},{"id":349016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.67364501953124,\n 43.058854606434494\n ],\n [\n -86.27288818359375,\n 43.058854606434494\n ],\n [\n -86.27288818359375,\n 44.10533762552548\n ],\n [\n -87.67364501953124,\n 44.10533762552548\n ],\n [\n -87.67364501953124,\n 43.058854606434494\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"97","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb22e4b06e28e9c22d13","contributors":{"authors":[{"text":"Xu, Wenzhao","contributorId":200526,"corporation":false,"usgs":false,"family":"Xu","given":"Wenzhao","email":"","affiliations":[],"preferred":false,"id":722554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collingsworth, Paris D.","contributorId":145526,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":722555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Barbara","contributorId":200527,"corporation":false,"usgs":false,"family":"Bailey","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":722556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson Mazur, Martha L.","contributorId":95377,"corporation":false,"usgs":true,"family":"Carlson Mazur","given":"Martha","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":722557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaeffer, Jeff 0000-0003-3430-0872 jschaeffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3430-0872","contributorId":2041,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeff","email":"jschaeffer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":722558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minsker, Barbara","contributorId":200528,"corporation":false,"usgs":false,"family":"Minsker","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":722559,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196924,"text":"70196924 - 2017 - Regional geology and tectonics","interactions":[],"lastModifiedDate":"2018-06-12T13:45:48","indexId":"70196924","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Regional geology and tectonics","docAbstract":"This chapter describes the regional geology and tectonic origins of the major geologic units for the Northern Cordillera. The goals of the chapter are to: (1) provide a summary and regional overview of this vast region that contains a complicated geologic history; and (2) describe the major geologic units and tectonic events that cover a broad geologic time span from the Proterozoic to the Holocene (Recent).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Nokleberg, W.J., 2017, Regional geology and tectonics, chap. of Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-book.","productDescription":"E-book","ipdsId":"IP-081592","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354047,"type":{"id":15,"text":"Index Page"},"url":"https://scholarworks.alaska.edu/handle/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e64ee4b060350a15d27c","contributors":{"editors":[{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":737782,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737783,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737784,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":737785,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Stone, David B.","contributorId":65324,"corporation":false,"usgs":true,"family":"Stone","given":"David B.","affiliations":[],"preferred":false,"id":737786,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195202,"text":"70195202 - 2017 - Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe","interactions":[],"lastModifiedDate":"2018-02-07T12:41:48","indexId":"70195202","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe","docAbstract":"

Terrestrial laser scanning (TLS) provides fast collection of high-definition structural information, making it a valuable field instrument to many monitoring applications. A weakness of TLS collections, especially in vegetation, is the occurrence of unsampled regions in point clouds where the sensor’s line-of-sight is blocked by intervening material. This problem, referred to as occlusion, may be mitigated by scanning target areas from several positions, increasing the chance that any given area will fall within the scanner’s line-of-sight from at least one position. Because TLS collections are often employed in remote regions where the scope of sampling is limited by logistical factors such as time and battery power, it is important to design field protocols which maximize efficiency and support increased quantity and quality of the data collected. This study informs researchers and practitioners seeking to optimize TLS sampling methods for vegetation monitoring in dryland ecosystems through three analyses. First, we quantify the 2D extent of occluded regions based on the range from single scan positions. Second, we measure the efficacy of additional scan positions on the reduction of 2D occluded regions (area) using progressive configurations of scan positions in 1 ha plots. Third, we test the reproducibility of 3D sampling yielded by a 5-scan/ha sampling methodology using redundant sets of scans. Analyses were performed using measurements at analysis scales of 5 to 50 cm across the 1-ha plots, and we considered plots in grass and shrub-dominated communities separately. In grass-dominated plots, a center-scan configuration and 5 cm pixel size sampled at least 90% of the area up to 18 m away from the scanner. In shrub-dominated plots, sampling at least 90% of the area was only achieved within a distance of 12 m. We found that 3 and 5 scans/ha are needed to sample at least ~ 70% of the total area (1 ha) in the grass and shrub-dominated plots, respectively, using 5 cm pixels to measure sampling presence-absence. The reproducibility of 3D sampling provided by a 5 position scan layout across 1-ha plots was 50% (shrub) and 70% (grass) using a 5-cm voxel size, whereas at the 50-cm voxel scale, reproducibility of sampling was nearly 100% for all plot types. Future studies applying TLS in similar dryland environments for vegetation monitoring may use our results as a guide to efficiently achieve sampling coverage and reproducibility in datasets.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-017-6300-0","usgsCitation":"Anderson, K.E., Glenn, N., Spaete, L., Shinneman, D.J., Pilliod, D.S., Arkle, R., McIlroy, S., and Derryberry, D.R., 2017, Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe: Environmental Monitoring and Assessment, v. 189, p. 1-12, https://doi.org/10.1007/s10661-017-6300-0.","productDescription":"Article 578; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-083243","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":351240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Morley Nelson Snake River Birds of Prey National Conservation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.60064697265625,\n 42.88602714832883\n ],\n [\n -115.78765869140625,\n 42.88602714832883\n ],\n [\n -115.78765869140625,\n 43.46089378008257\n ],\n [\n -116.60064697265625,\n 43.46089378008257\n ],\n [\n -116.60064697265625,\n 42.88602714832883\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"189","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5a7c1e7ae4b00f54eb22933a","contributors":{"authors":[{"text":"Anderson, Kyle E.","contributorId":198237,"corporation":false,"usgs":false,"family":"Anderson","given":"Kyle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Nancy","contributorId":181558,"corporation":false,"usgs":false,"family":"Glenn","given":"Nancy","affiliations":[],"preferred":false,"id":727415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spaete, Lucas","contributorId":169444,"corporation":false,"usgs":false,"family":"Spaete","given":"Lucas","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":727417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":727414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":727418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arkle, Robert 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":149893,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","email":"rarkle@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":727419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":727420,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Derryberry, DeWayne R.","contributorId":198239,"corporation":false,"usgs":false,"family":"Derryberry","given":"DeWayne","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727421,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192245,"text":"sir20175128 - 2017 - Simulation of groundwater flow and pumping scenarios for 1900–2050 near Mount Pleasant, South Carolina","interactions":[],"lastModifiedDate":"2020-08-25T16:37:11.720369","indexId":"sir20175128","displayToPublicDate":"2017-10-31T12:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5128","title":"Simulation of groundwater flow and pumping scenarios for 1900–2050 near Mount Pleasant, South Carolina","docAbstract":"

Groundwater withdrawals from the Upper Cretaceous-age Middendorf aquifer in South Carolina have created a large, regional cone of depression in the potentiometric surface of the Middendorf aquifer in Charleston and Berkeley Counties, South Carolina. Groundwater-level declines of as much as 249 feet have been observed in wells over the past 125 years and are a result of groundwater use for public water supply, irrigation, and private industry. To address the concerns of users of the Middendorf aquifer, the U.S. Geological Survey, in cooperation with Mount Pleasant Waterworks (MPW), recalibrated an existing groundwater-flow model to incorporate additional groundwater-use and water-level data since 2008. This recalibration process consisted of a technique of parameter estimation that uses regularized inversion and employs “pilot points” for spatial hydraulic property characterization. The groundwater-flow system of the Coastal Plain physiographic province of South Carolina and parts of Georgia and North Carolina was simulated using the U.S. Geological Survey finite-difference computer code MODFLOW-2000.

After the model recalibration, the following six predictive water-management scenarios were created to simulate potential changes in groundwater flow and groundwater-level conditions in the Mount Pleasant, South Carolina, area: Scenario 1—maximize MPW reverse-osmosis plant capacity by increasing groundwater withdrawals from the Middendorf aquifer from 3.9 million gallons per day (Mgal/d), which was the amount withdrawn in 2015, to 8.58 Mgal/d; Scenario 2—same as Scenario 1, but with the addition of a 0.5 Mgal/d supply well in the Middendorf aquifer near Moncks Corner, South Carolina; Scenario 3—same as Scenario 1, but with the addition of a 1.5 Mgal/d supply well in the Middendorf aquifer near Moncks Corner, South Carolina; Scenario 4—maximize MPW well capacity by increasing withdrawals from the Middendorf aquifer from 3.9 Mgal/d (in 2015) to 10.16 Mgal/d; Scenario 5—minimize MPW surface-water purchase from the Charleston Water System by adding supply wells and increasing withdrawals from the Middendorf aquifer from 3.9 Mgal/d (in 2015) to 12.16 Mgal/d; and Scenario 6—same as Scenario 1, but with he addition of quarterly model stress periods to simulate seasonal variations in the groundwater withdrawals. Results from the simulations indicated further decline of groundwater levels creating cones of depressions near pumping wells in the Middendorf aquifer in the Mount Pleasant, South Carolina, area between 2015 and 2050 for all six scenarios.

Simulation results from Scenario 1 showed an average decline of about 150 feet in the groundwater levels of the MPW production wells. Simulated hydrographs for two area observation wells illustrate the gradual decline in groundwater levels with overall changes in water-level altitudes of –92 and –33 feet, respectively. Simulated groundwater altitudes at a hypothetical observation well located in the MPW well field declined 121 feet between 2015 and 2050.

Scenarios 2 and 3 have the same pumping rates as Scenario 1 for the MPW production wells; however, a single hypothetical pumping well was added in the Middendorf aquifer near the town of Moncks Corner, South Carolina. This hypothetical pumping well has a withdrawal rate of 0.5 Mgal/d for Scenario 2 and 1.5 Mgal/d for Scenario 3. A comparison to the 2050 Scenario 1 simulation indicates groundwater altitudes for Scenarios 2 and Scenario 3 are 3 feet and 8 feet lower, respectively, at the MPW production wells.

Scenario 4 simulates the maximum pumping capacity of 10.16 Mgal/d for the MPW network of production wells. Simulated 2050 groundwater altitudes for this simulation declined to –359 feet. Simulated hydrographs for two observation wells show groundwater-level declines of 116 and 41 feet, respectively. Simulated differences in groundwater altitudes at a hypothetical observation well located in the MPW well field indicate a water-level decline of 164 feet between 2015 and 2050.

Scenario 5 is a modification of Scenario 4 with the addition of two new MPW production wells. For this scenario, the MPW network of production wells were simulated the same as in Scenario 4, but withdrawals from the two new production wells were added in 2020. Simulated 2050 groundwater altitudes for this simulation declined to – 405 feet. Simulated hydrographs for two observation wells show groundwater-level declines of 143 and 51 feet, respectively. Simulated groundwater altitudes at a hypothetical observation well located in the MPW well field declined 199 feet between 2015 and 2050.

Scenario 6 is a modification of Scenario 1, in which 140 additional quarterly stress periods were added to simulate MPW seasonal demands. Simulated groundwater altitudes for Scenario 6 declined to –353 feet during 2050. For Scenario 6, simulated hydrographs for two observation wells and the hypothetical observation well show similar groundwater-level declines as seen in Scenario 1, but with seasonal fluctuations of as much as 56 feet in the hypothetical observation well.

Water budgets for the model area immediately surrounding Mount Pleasant, South Carolina, were calculated for 2015 and for 2050. The water budget for 2015 is equal for all of the scenarios because it represents the year prior to the hypothetical pumping beginning in 2016. The largest flow component in the 2015 water budget for the Mount Pleasant area is discharge to wells at a rate of 4.17 Mgal/d. Additionally, 0.23 Mgal/d flows laterally out of the Middendorf aquifer in this area of the model due to the regional horizontal hydraulic gradient. Flow into this zone consists predominantly of lateral flow within the Middendorf aquifer at 4.08 Mgal/d. Additionally, 0.02 Mgal/d is released into this zone from aquifer storage. Vertically, 0.06 Mgal/d flows down from the Middendorf confining unit located above the Middendorf aquifer, and 0.25 Mgal/d flows up from the Cape Fear confining unit below.

The largest flow component in the 2050 water budget for all six scenarios is discharge to wells in the Mount Pleasant area at rates between 8.89 and 12.47 Mgal/d. Flow into this zone consists mostly of lateral flow between 8.47 and 11.77 Mgal/d within the Middendorf aquifer. Between 0.003 and 0.46 Mgal/d is released into this zone from aquifer storage. Between 0.004 and 0.15 Mgal/d flows laterally out of this zone into adjacent areas of the Middendorf aquifer due to the regional horizontal hydraulic gradient. Finally, between 0.15 and 0.22 Mgal/d flows vertically into this zone from confining units above and below the Middendorf aquifer.

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Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Stephenson Center, Suite 129
Columbia, SC 29210

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