{"pageNumber":"1220","pageRowStart":"30475","pageSize":"25","recordCount":184877,"records":[{"id":70156879,"text":"70156879 - 2015 - Stock-specific advection of larval walleye (Sander vitreus) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination","interactions":[],"lastModifiedDate":"2017-08-15T12:43:17","indexId":"70156879","displayToPublicDate":"2015-09-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Stock-specific advection of larval walleye (Sander vitreus) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination","docAbstract":"Physical processes can generate spatiotemporal heterogeneity in habitat quality for fish and also influence the overlap of pre-recruit individuals (e.g., larvae) with high-quality habitat through hydrodynamic advection. In turn, individuals from different stocks that are produced in different spawning locations or at different times may experience dissimilar habitat conditions, which can underlie within- and among-stock variability in larval growth and survival. While such physically-mediated variation has been shown to be important in driving intra- and inter-annual patterns in recruitment in marine ecosystems, its role in governing larval advection, growth, survival, and recruitment has received less attention in large lake ecosystems such as the Laurentian Great Lakes. Herein, we used a hydrodynamic model linked to a larval walleye (Sander vitreus) individual-based model to explore how the timing and location of larval walleye emergence from several spawning sites in western Lake Erie (Maumee, Sandusky, and Detroit rivers; Ohio reef complex) can influence advection pathways and mixing among these local spawning populations (stocks), and how spatiotemporal variation in thermal habitat can influence stock-specific larval growth. While basin-wide advection patterns were fairly similar during 2011 and 2012, smaller scale advection patterns and the degree of stock mixing varied both within and between years. Additionally, differences in larval growth were evident among stocks and among cohorts within stocks which were attributed to spatiotemporal differences in water temperature. Using these findings, we discuss the value of linked physical–biological models for understanding the recruitment process and addressing fisheries management problems in the world's Great Lakes.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2015.04.008","usgsCitation":"Fraker, M.E., Anderson, E., May, C.J., Chen, K., Davis, J.J., DeVanna, K.M., DuFour, M., Marschall, E.A., Mayer, C.M., Miner, J.G., Pangle, K.L., Pritt, J., Roseman, E., Tyson, J.T., Zhao, Y., and Ludsin, S.A., 2015, Stock-specific advection of larval walleye (Sander vitreus) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination: Journal of Great Lakes Research, v. 41, no. 3, p. 830-845, https://doi.org/10.1016/j.jglr.2015.04.008.","productDescription":"16 p.","startPage":"830","endPage":"845","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066933","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":307818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba84ae4b058f706e53abc","contributors":{"authors":[{"text":"Fraker, Michael E. 0000-0002-1813-706X","orcid":"https://orcid.org/0000-0002-1813-706X","contributorId":150962,"corporation":false,"usgs":false,"family":"Fraker","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":570938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Eric J.","contributorId":89434,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric J.","affiliations":[],"preferred":false,"id":570939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Cassandra J.","contributorId":150961,"corporation":false,"usgs":false,"family":"May","given":"Cassandra","email":"","middleInitial":"J.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":570940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Kuan-Yu","contributorId":140818,"corporation":false,"usgs":false,"family":"Chen","given":"Kuan-Yu","email":"","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":570941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Jeremiah J.","contributorId":150963,"corporation":false,"usgs":false,"family":"Davis","given":"Jeremiah","email":"","middleInitial":"J.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":570942,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeVanna, Kristen M.","contributorId":64991,"corporation":false,"usgs":true,"family":"DeVanna","given":"Kristen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuFour, Mark R.","contributorId":36451,"corporation":false,"usgs":true,"family":"DuFour","given":"Mark R.","affiliations":[],"preferred":false,"id":570944,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marschall, Elizabeth A.","contributorId":41388,"corporation":false,"usgs":true,"family":"Marschall","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570945,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570946,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miner, Jeffery G.","contributorId":150965,"corporation":false,"usgs":false,"family":"Miner","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":570947,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pangle, Kevin L.","contributorId":40947,"corporation":false,"usgs":true,"family":"Pangle","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570948,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pritt, Jeremy J. jpritt@usgs.gov","contributorId":139770,"corporation":false,"usgs":true,"family":"Pritt","given":"Jeremy J.","email":"jpritt@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":570949,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":147266,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":570937,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tyson, Jeffrey T.","contributorId":104433,"corporation":false,"usgs":true,"family":"Tyson","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570950,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zhao, Yingming","contributorId":49752,"corporation":false,"usgs":true,"family":"Zhao","given":"Yingming","affiliations":[],"preferred":false,"id":570951,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ludsin, Stuart A","contributorId":120607,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":570952,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70158591,"text":"70158591 - 2015 - Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome","interactions":[],"lastModifiedDate":"2018-01-04T15:39:04","indexId":"70158591","displayToPublicDate":"2015-09-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome","docAbstract":"White-nose syndrome (WNS) was first detected in North American bats in New York in 2006. Since that time WNS has spread throughout the northeastern United States, southeastern Canada, and southwest across Pennsylvania and as far west as Missouri. Suspect WNS cases have been identified in Minnesota and Iowa, and the causative agent of WNS (Pseudogymnoascus destructans) has recently been detected in Mississippi. The impact of WNS is devastating for little brown bats (Myotis lucifugus), causing up to 100% mortality in some overwintering populations, and previous research has forecast the extirpation of the species due to the disease. Recent evidence indicates that remnant populations may persist in areas where WNS is endemic. We developed a spatially explicit model of little brown bat population dynamics to investigate the potential for populations to recover under alternative scenarios. We used these models to investigate how starting population sizes, potential changes in the number of bats overwintering successfully in hibernacula, and potential changes in demographic rates of the population post WNS may influence the ability of the bats to recover to former levels of abundance. We found that populations of the little brown bat and other species that are highly susceptible to WNS are unlikely to return to pre-WNS levels in the near future under any of the scenarios we examined.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2015.07.016","usgsCitation":"Russell, R., Thogmartin, W.E., Erickson, R.A., Szymanski, J.A., and Tinsley, K., 2015, Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome: Ecological Modelling, v. 314, p. 111-117, https://doi.org/10.1016/j.ecolmodel.2015.07.016.","productDescription":"7 p.","startPage":"111","endPage":"117","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":309365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"314","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560d07b5e4b058f706e54306","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":10269,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[],"preferred":false,"id":576214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":576215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":576216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szymanski, Jennifer A.","contributorId":51593,"corporation":false,"usgs":true,"family":"Szymanski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":576217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tinsley, Karl","contributorId":23457,"corporation":false,"usgs":false,"family":"Tinsley","given":"Karl","email":"","affiliations":[{"id":6969,"text":"U.S. Fish and Wildlife Service, Division of Endangered Species","active":true,"usgs":false}],"preferred":false,"id":576218,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156240,"text":"ofr20151156 - 2015 - Water withdrawals in Florida, 2012","interactions":[],"lastModifiedDate":"2015-09-01T09:01:14","indexId":"ofr20151156","displayToPublicDate":"2015-09-01T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1156","title":"Water withdrawals in Florida, 2012","docAbstract":"In 2012, the total amount of water withdrawn in Florida was estimated to be 14,237 million gallons per day (Mgal/d). Saline water accounted for 7,855 Mgal/d (55 percent), and freshwater accounted for 6,383 Mgal/d (45 percent). Groundwater accounted for 4,167 Mgal/d (65 percent) of freshwater withdrawals, and surface water accounted for the remaining 2,216 Mgal/d (35 percent). Surface water accounted for nearly all (99.9 percent) saline-water withdrawals. Freshwater withdrawals were greatest in Palm Beach County (682 Mgal/d), and saline-water withdrawals were greatest in Pasco County (1,822 Mgal/d). Fresh groundwater provided drinking water (through either public supply or private domestic wells) for 17.699 million residents (93 percent of Florida’s population), and fresh surface water provided drinking water for 1.375 million residents (7 percent). The statewide public-supply gross per capita water use for 2012 was estimated at 136 gallons per day.
\nOverall, agricultural self-supplied accounted for 39 percent of the total freshwater withdrawals (groundwater and surface water), followed by public supply (36 percent). Public supply accounted for 49 percent of groundwater withdrawals, followed by agricultural self-supplied (34 percent), commercial-industrial-mining self-supplied (7 percent), recreational-landscape irrigation and domestic self-supplied (5 percent each), and power generation (less than 1 percent). Agricultural self-supplied accounted for 50 percent of fresh surface-water withdrawals, followed by power generation (26 percent), public supply (11 percent), recreational-landscape irrigation (9 percent), and commercial-industrial-mining self-supplied (4 percent). Power generation accounted for nearly all (99.8 percent) saline-water withdrawals.
\nThe largest percentage of freshwater withdrawals was from the South Florida Water Management District (46 percent), followed by the St. Johns River Water Management District (20 percent), Southwest Florida Water Management District (19 percent), Northwest Florida Water Management District (9 percent), and Suwannee River Water Management District (6 percent). The South Florida Water Management District accounted for the largest percentage of freshwater withdrawals for public-supply use (46 percent), commercial-industrial-mining self-supplied use (24 percent), agricultural self-supplied use (59 percent), and recreational-landscape irrigation use (63 percent). The Northwest Florida Water Management District accounted for the largest percentage of freshwater withdrawals for power-generation use (44 percent), and the Southwest Florida Water Management District accounted for the largest percentage of saline-water withdrawals for power-generation use (58 percent).
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\"}}]}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
12703 Research Parkway
Orlando, FL 32826
http://fl.water.usgs.gov
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Total Water Withdrawals
\n- Acknowledgments
\n- Selected References
\n
","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-09-01","noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"560ba84ee4b058f706e53ad8","contributors":{"authors":[{"text":"Marella, Richard L. 0000-0003-4861-9841 rmarella@usgs.gov","orcid":"https://orcid.org/0000-0003-4861-9841","contributorId":2443,"corporation":false,"usgs":true,"family":"Marella","given":"Richard","email":"rmarella@usgs.gov","middleInitial":"L.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":568168,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156468,"text":"ofr20151147 - 2015 - Photomosaics and event evidence from the Frazier Mountain paleoseismic site, trench 1, cuts 5–24, San Andreas Fault Zone, southern California (2010–2012)","interactions":[],"lastModifiedDate":"2015-09-01T11:59:53","indexId":"ofr20151147","displayToPublicDate":"2015-09-01T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1147","title":"Photomosaics and event evidence from the Frazier Mountain paleoseismic site, trench 1, cuts 5–24, San Andreas Fault Zone, southern California (2010–2012)","docAbstract":"The Frazier Mountain paleoseismic site is located within the northern Big Bend of the southern San Andreas Fault (lat 34.8122° N., lon 118.9034° W.), in a small structural basin formed by the fault (fig. 1). The site has been the focus of over a decade of paleoseismic study due to high stratigraphic resolution and abundant dateable material. Trench 1 (T1) was initially excavated as a 50-m long, fault-perpendicular trench crossing the northern half of the basin (Lindvall and others, 2002; Scharer and others, 2014a). Owing to the importance of a high-resolution trench site at this location on a 200-km length of the fault with no other long paleoseismic records, later work progressively lengthened and deepened T1 in a series of excavations, or cuts, that enlarged the original excavation. Scharer and others (2014a) provide the photomosaics and event evidence for the first four cuts, which largely show the upper section of the site, represented by alluvial deposits that date from about A.D. 1500 to present. Scharer and others (2014b) discuss the earthquake evidence and dating at the site within the context of prehistoric rupture lengths and magnitudes on the southern San Andreas Fault. Here we present the photomosaics and event evidence for a series of cuts from the lower section, covering sediments that were deposited from about A.D. 500 to 1500 (fig. 2).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151147","usgsCitation":"Scharer, K.M., Fumal, T.E., Weldon, R.J., II, Streig, A.R., 2015, Photomosaics and event evidence from the Frazier Mountain paleoseismic site, trench 1, cuts 5–24, San Andreas Fault Zone, southern California (2010–2012): U.S. Geological Survey Open-File Report 2015–1147, 25 p., 3 sheets, https://dx.doi.org/10.3133/ofr20151147.","productDescription":"Pamphlet: iii, 28 p.; 6 Sheets: 36.0 x 38.9 inches or smaller","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-065601","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":307515,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet2lg.pdf","text":"Sheet 2 print optimized","size":"76.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 2 print version"},{"id":307517,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet1.pdf","text":"Sheet 1 screen optimized","size":"7.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 1 screen version"},{"id":307513,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet1lg.pdf","text":"Sheet 1 print optimized","size":"62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 1 print version"},{"id":307516,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet3lg.pdf","text":"Sheet 3 print optimized","size":"71.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 3 print version"},{"id":307519,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet3.pdf","text":"Sheet 3 screen optimized","size":"10.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 3 screen version"},{"id":307518,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet2.pdf","text":"Sheet 2 screen optimized","size":"5.6 Mb","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 2 screen version"},{"id":307215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1147/coverthb.gif"},{"id":307216,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_pamphlet.pdf","text":"Pamphlet","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Pamphlet to accompany map sheets"}],"country":"United States","state":"California","otherGeospatial":"Frazier Mountain, San Andreas Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,34.0 ], [ -120.0,36.0 ], [ -118.0,36.0 ], [ -118.0,34.0 ], [ -120.0,34.0 ] ] ] } } ] }","contact":"Earthquake Science Center—Menlo Park, Calif. Office
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025 http://earthquake.usgs.gov/
","tableOfContents":"\n- Introduction
\n- Trenching Methodology
\n- Site Structure and Stratigraphy
\n- Event Evidence
\n- Acknowledgments
\n- References
\n- Appendix
\n- Figures (5)
\n- Tables (2)
\n
","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2015-08-24","noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"560ba844e4b058f706e53aa1","contributors":{"authors":[{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":569256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fumal, Tom E.","contributorId":73090,"corporation":false,"usgs":true,"family":"Fumal","given":"Tom","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":569257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weldon, Ray J. II","contributorId":47859,"corporation":false,"usgs":true,"family":"Weldon","given":"Ray","suffix":"II","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":569258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Streig, Ashley R.","contributorId":103569,"corporation":false,"usgs":true,"family":"Streig","given":"Ashley","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":569259,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223724,"text":"70223724 - 2015 - Wintering Bald Eagle count trends in the conterminous United States, 1986–2010","interactions":[],"lastModifiedDate":"2021-09-03T13:06:43.613522","indexId":"70223724","displayToPublicDate":"2015-09-01T07:59:20","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Wintering Bald Eagle count trends in the conterminous United States, 1986–2010","docAbstract":"We analyzed counts from the annual Midwinter Bald Eagle Survey to examine state, regional, and national trends in counts of wintering Bald Eagles (Haliaeetus leucocephalus) within the conterminous 48 United States from 1986 to 2010. Using hierarchical mixed model methods, we report trends in counts from 11 729 surveys along 844 routes in 44 states. Nationwide Bald Eagle counts increased 0.6% per yr over the 25-yr period, compared to an estimate of 1.9% per yr from 1986 to 2000. Trend estimates for Bald Eagles were significant (P ≤ 0.05) and positive in the northeastern and northwestern U.S. (3.9% and 1.1%, respectively), while trend estimates for Bald Eagles were negative (P ≤ 0.05) in the southwestern U.S. (−2.2%). After accounting for potential biases resulting from temporal and regional differences in surveys, we believe trends reflect post-DDT recovery and subsequent early effects of density-dependent population regulation.
I report on the unusual behavior of an adult House Wren (Troglodytes aedon) leading recently fledged young back to the nest for two consecutive nights. The ambient temperature reached below 0°C during both nights. Despite disadvantages associated with remaining in the nest, this observation suggests that adult birds may assess trade-offs between perceived risks versus the benefits of engaging in other activities, in this case roosting communally for thermoregulation.
","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/14-083.1","usgsCitation":"Scholer, M.N., 2015, Unusual behavior in the parental care of a house wren (Troglodytes aedon): Post fledging use of an old nest during cold nights: Wilson Journal of Ornithology, v. 127, no. 3, p. 545-547, https://doi.org/10.1676/14-083.1.","productDescription":"3 p.","startPage":"545","endPage":"547","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057723","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":314780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Harney County","otherGeospatial":"Steens Mountain Cooperative Management and Protection Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.5,\n 42.6\n ],\n [\n -118.5,\n 42.7\n ],\n [\n -118.6,\n 42.7\n ],\n [\n -118.6,\n 42.6\n ],\n [\n -118.5,\n 42.6\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a7556fe4b0b28f1184d8a7","contributors":{"authors":[{"text":"Scholer, Micah N.","contributorId":152524,"corporation":false,"usgs":false,"family":"Scholer","given":"Micah","email":"","middleInitial":"N.","affiliations":[{"id":18937,"text":"Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver","active":true,"usgs":false}],"preferred":false,"id":589628,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192652,"text":"70192652 - 2015 - Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations","interactions":[],"lastModifiedDate":"2017-11-08T15:46:00","indexId":"70192652","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations","docAbstract":"- Prediction is fundamental to scientific enquiry and application; however, ecologists tend to favour explanatory modelling. We discuss a predictive modelling framework to evaluate ecological hypotheses and to explore novel/unobserved environmental scenarios to assist conservation and management decision-makers. We apply this framework to develop an optimal predictive model for juvenile (<1 year old) sandhill crane Grus canadensis recruitment of the Rocky Mountain Population (RMP). We consider spatial climate predictors motivated by hypotheses of how drought across multiple time-scales and spring/summer weather affects recruitment.
- Our predictive modelling framework focuses on developing a single model that includes all relevant predictor variables, regardless of collinearity. This model is then optimized for prediction by controlling model complexity using a data-driven approach that marginalizes or removes irrelevant predictors from the model. Specifically, we highlight two approaches of statistical regularization, Bayesian least absolute shrinkage and selection operator (LASSO) and ridge regression.
- Our optimal predictive Bayesian LASSO and ridge regression models were similar and on average 37% superior in predictive accuracy to an explanatory modelling approach. Our predictive models confirmed a priori hypotheses that drought and cold summers negatively affect juvenile recruitment in the RMP. The effects of long-term drought can be alleviated by short-term wet spring–summer months; however, the alleviation of long-term drought has a much greater positive effect on juvenile recruitment. The number of freezing days and snowpack during the summer months can also negatively affect recruitment, while spring snowpack has a positive effect.
- Breeding habitat, mediated through climate, is a limiting factor on population growth of sandhill cranes in the RMP, which could become more limiting with a changing climate (i.e. increased drought). These effects are likely not unique to cranes. The alteration of hydrological patterns and water levels by drought may impact many migratory, wetland nesting birds in the Rocky Mountains and beyond.
- Generalizable predictive models (trained by out-of-sample fit and based on ecological hypotheses) are needed by conservation and management decision-makers. Statistical regularization improves predictions and provides a general framework for fitting models with a large number of predictors, even those with collinearity, to simultaneously identify an optimal predictive model while conducting rigorous Bayesian model selection. Our framework is important for understanding population dynamics under a changing climate and has direct applications for making harvest and habitat management decisions.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12370","usgsCitation":"Gerber, B.D., Kendall, W., Hooten, M., Dubovsky, J.A., and Drewien, R.C., 2015, Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations: Journal of Animal Ecology, v. 84, no. 5, p. 1299-1310, https://doi.org/10.1111/1365-2656.12370.","productDescription":"12 p.","startPage":"1299","endPage":"1310","ipdsId":"IP-061026","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471832,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12370","text":"Publisher Index Page"},{"id":348504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-18","publicationStatus":"PW","scienceBaseUri":"5a0425c2e4b0dc0b45b453ff","contributors":{"authors":[{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716661,"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":721375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubovsky, James A.","contributorId":100763,"corporation":false,"usgs":true,"family":"Dubovsky","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drewien, Roderick C.","contributorId":195989,"corporation":false,"usgs":false,"family":"Drewien","given":"Roderick","email":"","middleInitial":"C.","affiliations":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":721377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159958,"text":"70159958 - 2015 - Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data","interactions":[],"lastModifiedDate":"2015-12-04T16:11:07","indexId":"70159958","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data","docAbstract":"Ground-Based Interferometric Synthetic Aperture Radar (GBInSAR) is an efficient technique for capturing short, subtle episodes of conduit pressurization in open vent volcanoes like Stromboli (Italy), because it can detect very shallow magma storage, which is difficult to identify using other methods. This technique allows the user to choose the optimal radar location for measuring the most significant deformation signal, provides an exceptional geometrical resolution, and allows for continuous monitoring of the deformation. Here, we present and model ground displacements collected at Stromboli by GBInSAR from January 2010 to August 2014. During this period, the volcano experienced several episodes of intense volcanic activity, culminated in the effusive flank eruption of August 2014. Modelling of the deformation allowed us to estimate a source depth of 482 ± 46 m a.s.l. The cumulative volume change was 4.7 ± 2.6 × 105 m3. The strain energy of the source was evaluated 3–5 times higher than the surface energy needed to open the 6–7 August eruptive fissure. The analysis proposed here can help forecast shifts in the eruptive style and especially the onset of flank eruptions at Stromboli and at similar volcanic systems (e.g. Etna, Piton de La Fournaise, Kilauea).
","language":"English","publisher":"Nature Publishing Group (NPG)","doi":"10.1038/srep13569","usgsCitation":"Di Traglia, F., Battaglia, M., Nolesini, T., Lagomarsino, D., and Casaglia, N., 2015, Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data: Scientific Reports, no. 5, 11 p., https://doi.org/10.1038/srep13569.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064541","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471838,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep13569","text":"Publisher Index Page"},{"id":311951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311915,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.com/articles/srep13569"}],"country":"Italy","otherGeospatial":"Stromboli","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 15.213661193847658,\n 38.81189098781871\n ],\n [\n 15.190315246582033,\n 38.79771102715645\n ],\n [\n 15.184478759765627,\n 38.790753788294424\n ],\n [\n 15.191688537597654,\n 38.7800490179011\n ],\n [\n 15.201988220214846,\n 38.77656962147866\n ],\n [\n 15.215721130371096,\n 38.77041335043523\n ],\n [\n 15.226364135742188,\n 38.77442837007637\n ],\n [\n 15.232543945312498,\n 38.78459874169886\n ],\n [\n 15.240097045898438,\n 38.79450007821985\n ],\n [\n 15.24421691894531,\n 38.80573776659133\n ],\n [\n 15.228080749511719,\n 38.812426025416734\n ],\n [\n 15.216751098632812,\n 38.81296105899589\n ],\n [\n 15.213661193847658,\n 38.81189098781871\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"5662c759e4b06a3ea36c67cb","contributors":{"authors":[{"text":"Di Traglia, Federico","contributorId":150264,"corporation":false,"usgs":false,"family":"Di Traglia","given":"Federico","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglia, Maurizio mbattaglia@usgs.gov","contributorId":139631,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":581187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolesini, Teresa","contributorId":150265,"corporation":false,"usgs":false,"family":"Nolesini","given":"Teresa","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lagomarsino, Daniela","contributorId":150266,"corporation":false,"usgs":false,"family":"Lagomarsino","given":"Daniela","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casaglia, Nicola","contributorId":150267,"corporation":false,"usgs":false,"family":"Casaglia","given":"Nicola","email":"","affiliations":[{"id":17947,"text":"Università di Firenze","active":true,"usgs":false}],"preferred":false,"id":581191,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159739,"text":"70159739 - 2015 - Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus","interactions":[],"lastModifiedDate":"2021-09-01T16:05:43.950398","indexId":"70159739","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus","title":"Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus","docAbstract":"Islands provide refuges for populations of many species where they find safety from predators, but the introduction of predators frequently results in elimination or dramatic reductions in island-dwelling organisms. When predators are removed, re-colonization for some species occurs naturally, and inter-island phylogeographic relationships and current movement patterns can illuminate processes of colonization. We studied a case of re-colonization of common eiders Somateria mollissima following removal of introduced arctic foxes Vulpes lagopus in the Aleutian Archipelago, Alaska. We expected common eiders to resume nesting on islands cleared of foxes and to re-colonize from nearby islets, islands, and island groups. We thus expected common eiders to show limited genetic structure indicative of extensive mixing among island populations. Satellite telemetry was used to record current movement patterns of female common eiders from six islands across three island groups. We collected genetic data from these and other nesting common eiders at 14 microsatellite loci and the mitochondrial DNA control region to examine population genetic structure, historical fluctuations in population demography, and gene flow. Our results suggest recent interchange among islands. Analysis of microsatellite data supports satellite telemetry data of increased dispersal of common eiders to nearby areas and little between island groups. Although evidence from mtDNA is suggestive of female dispersal among island groups, gene flow is insufficient to account for recolonization and rapid population growth. Instead, near-by remnant populations of common eiders contributed substantially to population expansion, without which re-colonization would have likely occurred at a much lower rate. Genetic and morphometric data of common eiders within one island group two and three decades after re-colonization suggests reduced movement of eiders among islands and little movement between island groups after populations were re-established. We predict that re-colonization of an island group where all common eiders are extirpated could take decades.
","language":"English","publisher":"Wiley","doi":"10.1111/jav.00626","usgsCitation":"Petersen, M.R., Sonsthagen, S.A., and Sexson, M.G., 2015, Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus: Journal of Avian Biology, v. 46, no. 5, p. 538-549, https://doi.org/10.1111/jav.00626.","productDescription":"12 p.","startPage":"538","endPage":"549","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054807","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":311558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Andreanof Islands, Near Islands, Rat Islands,","volume":"46","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-12","publicationStatus":"PW","scienceBaseUri":"564f00c9e4b064dd1d09558c","contributors":{"authors":[{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":580290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","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":580291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sexson, Matthew G. 0000-0002-1078-0835 msexson@usgs.gov","orcid":"https://orcid.org/0000-0002-1078-0835","contributorId":5544,"corporation":false,"usgs":true,"family":"Sexson","given":"Matthew","email":"msexson@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":580292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70162618,"text":"70162618 - 2015 - Defining conservation targets on a landscape-scale","interactions":[],"lastModifiedDate":"2016-04-14T14:48:31","indexId":"70162618","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Defining conservation targets on a landscape-scale","docAbstract":"Conservation planning, the process of deciding how to protect, conserve, enhance and(or) minimize loss of natural and cultural resources, is a fundamental process to achieve conservation success in a time of rapid environmental change. Conservation targets, the measurable expressions of desired resource conditions, are an important tool in biological planning to achieve effective outcomes. Conservation targets provide a focus for planning, design, conservation action, and collaborative monitoring of environmental trends to guide landscape-scale conservation to improve the quality and quantity of key ecological and cultural resources. It is essential to have an iterative and inclusive method to define conservation targets that is replicable and allows for the evaluation of the effectiveness of conservation targets over time. In this document, we describe a process that can be implemented to achieve landscape-scale conservation, which includes defining conservation targets. We also describe what has been accomplished to date (September 2015) through this process for the Peninsular Florida Landscape Conservation Cooperative (PFLCC).
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,{"id":70174875,"text":"70174875 - 2015 - Model averaging and muddled multimodel inferences","interactions":[],"lastModifiedDate":"2017-05-04T10:07:30","indexId":"70174875","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Model averaging and muddled multimodel inferences","docAbstract":"Three flawed practices associated with model averaging coefficients for predictor variables in regression models commonly occur when making multimodel inferences in analyses of ecological data. Model-averaged regression coefficients based on Akaike information criterion (AIC) weights have been recommended for addressing model uncertainty but they are not valid, interpretable estimates of partial effects for individual predictors when there is multicollinearity among the predictor variables. Multicollinearity implies that the scaling of units in the denominators of the regression coefficients may change across models such that neither the parameters nor their estimates have common scales, therefore averaging them makes no sense. The associated sums of AIC model weights recommended to assess relative importance of individual predictors are really a measure of relative importance of models, with little information about contributions by individual predictors compared to other measures of relative importance based on effects size or variance reduction. Sometimes the model-averaged regression coefficients for predictor variables are incorrectly used to make model-averaged predictions of the response variable when the models are not linear in the parameters. I demonstrate the issues with the first two practices using the college grade point average example extensively analyzed by Burnham and Anderson. I show how partial standard deviations of the predictor variables can be used to detect changing scales of their estimates with multicollinearity. Standardizing estimates based on partial standard deviations for their variables can be used to make the scaling of the estimates commensurate across models, a necessary but not sufficient condition for model averaging of the estimates to be sensible. A unimodal distribution of estimates and valid interpretation of individual parameters are additional requisite conditions. The standardized estimates or equivalently the tstatistics on unstandardized estimates also can be used to provide more informative measures of relative importance than sums of AIC weights. Finally, I illustrate how seriously compromised statistical interpretations and predictions can be for all three of these flawed practices by critiquing their use in a recent species distribution modeling technique developed for predicting Greater Sage-Grouse (Centrocercus urophasianus) distribution in Colorado, USA. These model averaging issues are common in other ecological literature and ought to be discontinued if we are to make effective scientific contributions to ecological knowledge and conservation of natural resources.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1639.1","usgsCitation":"Cade, B.S., 2015, Model averaging and muddled multimodel inferences: Ecology, v. 96, no. 9, p. 2370-7382, https://doi.org/10.1890/14-1639.1.","startPage":"2370","endPage":"7382","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051478","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578f4f2fe4b0ad6235cf002e","contributors":{"authors":[{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":642943,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186943,"text":"70186943 - 2015 - Magma extrusion during the Ubinas 2013–2014 eruptive crisis based on satellite thermal imaging (MIROVA) and ground-based monitoring","interactions":[],"lastModifiedDate":"2017-04-14T15:54:28","indexId":"70186943","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Magma extrusion during the Ubinas 2013–2014 eruptive crisis based on satellite thermal imaging (MIROVA) and ground-based monitoring","docAbstract":"After 3 years of mild gases emissions, the Ubinas volcano entered in a new eruptive phase on September 2nd, 2013. The MIROVA system (a space-based volcanic hot-spot detection system), allowed us to detect in near real time the thermal emissions associated with the eruption and provided early evidence of magma extrusion within the deep summit crater. By combining IR data with plume height, sulfur emissions, hot spring temperatures and seismic activity, we interpret the thermal output detected over Ubinas in terms of extrusion rates associated to the eruption. We suggest that the 2013–2014 eruptive crisis can be subdivided into three main phases: (i) shallow magma intrusion inside the edifice, (ii) extrusion and growing of a lava plug at the bottom of the summit crater coupled with increasing explosive activity and finally, (iii) disruption of the lava plug and gradual decline of the explosive activity. The occurrence of the 8.2 Mw Iquique (Chile) earthquake (365 km away from Ubinas) on April 1st, 2014, may have perturbed most of the analyzed parameters, suggesting a prompt interaction with the ongoing volcanic activity. In particular, the analysis of thermal and seismic datasets shows that the earthquake may have promoted the most intense thermal and explosive phase that culminated in a major explosion on April 19th, 2014.
These results reveal the efficiency of space-based thermal observations in detecting the extrusion of hot magma within deep volcanic craters and in tracking its evolution. We emphasize that, in combination with other geophysical and geochemical datasets, MIROVA is an essential tool for monitoring remote volcanoes with rather difficult accessibility, like those of the Andes that reach remarkably high altitudes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2015.07.005","usgsCitation":"Coppola, D., Macedo, O., Ramos, D., Finizola, A., Delle Donne, D., del Carpio, J., White, R.A., McCausland, W., Centeno, R., Rivera, M., Apaza, F., Ccallata, B., Chilo, W., Cigolini, C., Laiolo, M., Lazarte, I., Machaca, R., Masias, P., Ortega, M., Puma, N., and Taipe, E., 2015, Magma extrusion during the Ubinas 2013–2014 eruptive crisis based on satellite thermal imaging (MIROVA) and ground-based monitoring: Journal of Volcanology and Geothermal Research, v. 302, p. 199-210, https://doi.org/10.1016/j.jvolgeores.2015.07.005.","productDescription":"12 p.","startPage":"199","endPage":"210","ipdsId":"IP-065049","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471840,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.univ-reunion.fr/hal-01390796","text":"External 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Pablo","contributorId":190934,"corporation":false,"usgs":false,"family":"Masias","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":691098,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ortega, Mayra","contributorId":190935,"corporation":false,"usgs":false,"family":"Ortega","given":"Mayra","affiliations":[],"preferred":false,"id":691099,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Puma, Nino","contributorId":190936,"corporation":false,"usgs":false,"family":"Puma","given":"Nino","email":"","affiliations":[],"preferred":false,"id":691100,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Taipe, Edu","contributorId":190937,"corporation":false,"usgs":false,"family":"Taipe","given":"Edu","email":"","affiliations":[],"preferred":false,"id":691101,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70191146,"text":"70191146 - 2015 - Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach","interactions":[],"lastModifiedDate":"2017-09-27T17:02:15","indexId":"70191146","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach","docAbstract":"Magmatic minerals record the pre-eruptive timescales of magma ascent and mixing in crustal reservoirs and conduits. Investigations of the mineral records of magmatic processes are fundamental to our understanding of what controls eruption style, as ascent rates and magma mixing processes are well known to control and/or trigger potentially hazardous explosive eruptions. Thus, amphibole reaction rims are often used to infer pre-eruptive magma dynamics, and in particular to estimate magma ascent rates. However, while several experimental studies have investigated amphibole destabilization during decompression, only two investigated thermal destabilization relevant to magma mixing processes. This study examines amphibole decomposition experimentally through isobaric heating of magnesio-hornblende phenocrysts within a natural high-silica andesite glass. The experiments first equilibrated for 24 h at 870 °C and 140 MPa at H2O-saturated conditions and ƒO2 ∼ Re–ReO prior to rapid heating to 880, 900, or 920 °C and hold times of 3–48 h. At 920 °C, rim thicknesses increased from 17 μm after 3 h, to 55 μm after 12 h, and became pseudomorphs after longer durations. At 900 °C, rim thicknesses increased from 7 μm after 3 h, to 80 μm after 24 h, to pseudomorphs after longer durations. At 880 °C, rim thicknesses increased from 7 μm after 3 h, to 18 μm after 36 h, to pseudomorphs after 48 h. Reaction rim microlites vary from 5–16 μm in size, with no systematic relationship between crystal size and the duration or magnitude of heating. Time-averaged rim microlite growth rates decrease steadily with increasing experimental duration (from ![\"View](\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si1.gif\" "\\"View")
to 3.1 to ![\"View](\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si2.gif\" "\\"View")
). Time-averaged microlite nucleation rates also decrease with increasing experimental duration (from ![\"View](\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si3.gif\" "\\"View")
to 5.3 mm−3 s−1). There is no systematic relationship between time-averaged growth or nucleation rates and the magnitude of the heating step. Ortho- and clinopyroxene together constitute 57–90 modal % mineralogy in each reaction rim. At constant temperature, clinopyroxene abundances decrease with increasing experimental duration, from 72 modal % (3 h at 900 °C) to 0% (48 h at 880 °C, and 36 h at 900 and 920 °C). Fe–Ti oxides increase from 6–12 modal % (after 3–6 h) to 26–34 modal % (after 36–48 h). Plagioclase occurs in relatively minor amounts (<1–11 modal %), with anorthite contents that increase from An56 to An88 from 3 to 36 h of heating. Distal glass compositions (>500 μm from reacted amphibole) are consistent with inter-microlite rim glasses (71.3–77.7 wt.% SiO2) within a given experiment and there is a weakly positive correlation between increasing run duration and inter-microlite melt SiO2 (68.9–78.5 wt.%). Our results indicate that experimental heating-induced amphibole reaction rims have thicknesses, textures, and mineralogies consistent with many of the natural reaction rims seen at arc-andesite volcanoes. They are also texturally consistent with experimental decompression reaction rims. On this basis it may be challenging to distinguish between decompression and heating mechanisms in nature.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2015.06.051","usgsCitation":"De Angelis, S.H., Larsen, J., Coombs, M.L., Dunn, A., and Hayden, L.A., 2015, Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach: Earth and Planetary Science Letters, v. 426, p. 235-245, https://doi.org/10.1016/j.epsl.2015.06.051.","productDescription":"11 p.","startPage":"235","endPage":"245","ipdsId":"IP-051815","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2015.06.051","text":"Publisher Index Page"},{"id":346142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"426","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ccb8a6e4b017cf314383e2","contributors":{"authors":[{"text":"De Angelis, S. H.","contributorId":196732,"corporation":false,"usgs":false,"family":"De Angelis","given":"S.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":711354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, J.","contributorId":74544,"corporation":false,"usgs":true,"family":"Larsen","given":"J.","affiliations":[],"preferred":false,"id":711355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":711356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunn, A.","contributorId":196733,"corporation":false,"usgs":false,"family":"Dunn","given":"A.","affiliations":[],"preferred":false,"id":711357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayden, Leslie A. lhayden@usgs.gov","contributorId":5926,"corporation":false,"usgs":true,"family":"Hayden","given":"Leslie","email":"lhayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":711358,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192532,"text":"70192532 - 2015 - Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe","interactions":[],"lastModifiedDate":"2017-10-26T13:19:10","indexId":"70192532","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe","docAbstract":"Questions
(i) What role does the type of managed disturbance play in structuring sagebrush steppe plant communities? (ii) How does the composition of post-disturbance plant communities change with time since disturbance? (iii) Does plant community diversity change over time following managed disturbance?
Location
Field study within the sagebrush steppe ecosystem. Rich County, Utah, USA.
Methods
We developed a chronosequence spanning up to 50 yrs post-treatment to study sagebrush steppe vegetation dynamics. Direct ordination was used to examine plant community composition by managed disturbance type and time since disturbance, and factorial analysis of covariance was used to examine diversity dynamics following disturbance. Indicator species values were calculated in order to identify characteristic species for each disturbance type.
Results
Plant communities experienced a shift toward distinct community composition for each of the three managed disturbance types, and gave no indication of returning to untreated community composition or diversity. Small post-disturbance increases in the number of non-native grass species were observed in the treatments relative to reference, with native forb species making the largest contribution to altered composition. On fire- and chemically-treated sites the proportional native forb species richness increased over time since disturbance, while the proportional contribution of non-native forbs to total species richness decreased. For all three treatment types, native grasses contributed less on average to total richness than on reference sites, while non-native grasses made up a higher proportion of total richness.
Conclusions
Common shrubland management techniques have legacy effects on the composition and diversity of sagebrush steppe plant communities, and no-analogue disturbances, such as chemical or mechanical treatments, have more pronounced legacy effects than treatments similar to natural disturbance regimes (fire). This study informs a broader understanding of how management actions affect natural systems by highlighting the importance of long-term management legacies as drivers of plant community structure and function.
","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12293","usgsCitation":"Ripplinger, J., Franklin, J., and Edwards, T., 2015, Legacy effects of no-analogue disturbances alter plant community diversity and composition in semi-arid sagebrush steppe: Journal of Vegetation Science, v. 26, no. 5, p. 923-933, https://doi.org/10.1111/jvs.12293.","productDescription":"11 p.","startPage":"923","endPage":"933","ipdsId":"IP-037820","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","county":"Rich 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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-27","publicationStatus":"PW","scienceBaseUri":"5a07eb44e4b09af898c8ccce","contributors":{"authors":[{"text":"Ripplinger, Julie","contributorId":198536,"corporation":false,"usgs":false,"family":"Ripplinger","given":"Julie","email":"","affiliations":[],"preferred":false,"id":716352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franklin, Janet","contributorId":90833,"corporation":false,"usgs":true,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":716353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716132,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176710,"text":"70176710 - 2015 - Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions","interactions":[],"lastModifiedDate":"2016-10-03T13:56:41","indexId":"70176710","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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":"Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions","docAbstract":"Unbiased estimators of abundance and density are fundamental to the study of animal ecology and critical for making sound management decisions. Capture–recapture models are generally considered the most robust approach for estimating these parameters but rely on a number of assumptions that are often violated but rarely validated. Mark-resight models, a form of capture–recapture, are well suited for use with noninvasive sampling methods and allow for a number of assumptions to be relaxed. We used ancillary data from continuous video and radio telemetry to evaluate the assumptions of mark-resight models for abundance estimation on a barrier island raccoon (Procyon lotor) population using camera traps. Our island study site was geographically closed, allowing us to estimate real survival and in situ recruitment in addition to population size. We found several sources of bias due to heterogeneity of capture probabilities in our study, including camera placement, animal movement, island physiography, and animal behavior. Almost all sources of heterogeneity could be accounted for using the sophisticated mark-resight models developed by McClintock et al. (2009b) and this model generated estimates similar to a spatially explicit mark-resight model previously developed for this population during our study. Spatially explicit capture–recapture models have become an important tool in ecology and confer a number of advantages; however, non-spatial models that account for inherent individual heterogeneity may perform nearly as well, especially where immigration and emigration are limited. Non-spatial models are computationally less demanding, do not make implicit assumptions related to the isotropy of home ranges, and can provide insights with respect to the biological traits of the local population.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.931","usgsCitation":"Parsons, A.W., Simons, T.R., Pollock, K.H., Stoskopf, M.K., Stocking, J.J., and O’Connell, A.F., 2015, Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions: Journal of Wildlife Management, v. 79, no. 7, p. 1163-1172, https://doi.org/10.1002/jwmg.931.","productDescription":"10 p.","startPage":"1163","endPage":"1172","ipdsId":"IP-057828","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":329240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Lookout National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.5252685546875,\n 34.56085936708384\n ],\n [\n -75.45135498046875,\n 35.247862157399915\n ],\n [\n -75.5804443359375,\n 35.32184842037683\n ],\n [\n -76.0308837890625,\n 35.160336728130346\n ],\n [\n -76.2835693359375,\n 34.92197103616377\n ],\n [\n -76.48956298828125,\n 34.7461262752594\n ],\n [\n -76.59942626953125,\n 34.615126683462194\n ],\n [\n -76.5252685546875,\n 34.56085936708384\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-13","publicationStatus":"PW","scienceBaseUri":"57f7ee36e4b0bc0bec09e911","contributors":{"authors":[{"text":"Parsons, Arielle W.","contributorId":91383,"corporation":false,"usgs":true,"family":"Parsons","given":"Arielle","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":649973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":649974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":649975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoskopf, Michael K.","contributorId":83817,"corporation":false,"usgs":true,"family":"Stoskopf","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":649976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stocking, Jessica J.","contributorId":68626,"corporation":false,"usgs":true,"family":"Stocking","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":649977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649978,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187283,"text":"70187283 - 2015 - Atypical den use of Carolina Northern Flying Squirrels (Glaucomys sabrinus coloratus) in the southern Appalachian Mountains","interactions":[],"lastModifiedDate":"2017-04-28T12:53:55","indexId":"70187283","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Atypical den use of Carolina Northern Flying Squirrels (Glaucomys sabrinus coloratus) in the southern Appalachian Mountains","docAbstract":"Glaucomys sabrinus coloratus (Carolina Northern Flying Squirrel) is a federally endangered subspecies that occurs in high elevation forests of the southern Appalachian Mountains. Denning sites may be a limiting factor for this subspecies in areas where cavity trees are not abundant or where interspecific competition from other tree squirrels occurs. This shortage can result in use of unusual denning sites, such as subterranean dens. Herein, we report atypical denning habits of radio-collared Carolina Northern Flying Squirrels in southwestern Virginia and western North Carolina from 2008 to 2011 and 2014. Increased knowledge of denning habitats may be beneficial for conservation and habitat management of this subspecies, particularly in sub-optimal or degraded habitats.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.014.0303","usgsCitation":"Diggins, C.A., Kelly, C.A., and Ford, W.M., 2015, Atypical den use of Carolina Northern Flying Squirrels (Glaucomys sabrinus coloratus) in the southern Appalachian Mountains: Southeastern Naturalist, v. 14, no. 3, p. N44-N49, https://doi.org/10.1656/058.014.0303.","productDescription":"6 p.","startPage":"N44","endPage":"N49","ipdsId":"IP-062097","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.7108154296875,\n 36.61111838494165\n ],\n [\n -84.4354248046875,\n 35.160336728130346\n ],\n [\n -82.4139404296875,\n 35.22767235493586\n ],\n [\n -80.85937499999999,\n 36.558187766360675\n ],\n [\n -81.7108154296875,\n 36.61111838494165\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-18","publicationStatus":"PW","scienceBaseUri":"590454a6e4b022cee40dc24c","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":693480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Christine A.","contributorId":171661,"corporation":false,"usgs":false,"family":"Kelly","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":35598,"text":"North Carolina Wildlife Resources Commission ","active":true,"usgs":false}],"preferred":false,"id":693481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186701,"text":"70186701 - 2015 - Mineral Resource of the Month: Bromine","interactions":[],"lastModifiedDate":"2017-04-07T13:01:24","indexId":"70186701","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral Resource of the Month: Bromine","docAbstract":"Bromine, along with mercury, is one of only two elements that are liquid at room temperature. Bromine is a highly volatile and corrosive reddish-brown liquid that evaporates easily and converts to a metal at extreme pressures — above about 540,000 times atmospheric pressure. Bromine occurs in seawater, evaporitic (salt) lakes and underground brines associated with petroleum deposits.
","language":"English","publisher":"AGI","usgsCitation":"Schnebele, E., 2015, Mineral Resource of the Month: Bromine: Earth, v. September 2015, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-066750","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339415,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-bromine"}],"volume":"September 2015","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a544e4b09da6799d63a9","contributors":{"authors":[{"text":"Schnebele, Emily eschnebele@usgs.gov","contributorId":190190,"corporation":false,"usgs":true,"family":"Schnebele","given":"Emily","email":"eschnebele@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690315,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187291,"text":"70187291 - 2015 - Monitoring landscape-level distribution and migration Phenology of Raptors using a volunteer camera-trap network","interactions":[],"lastModifiedDate":"2017-11-27T09:18:57","indexId":"70187291","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring landscape-level distribution and migration Phenology of Raptors using a volunteer camera-trap network","docAbstract":"Conservation of animal migratory movements is among the most important issues in wildlife management. To address this need for landscape-scale monitoring of raptor populations, we developed a novel, baited photographic observation network termed the “Appalachian Eagle Monitoring Program” (AEMP). During winter months of 2008–2012, we partnered with professional and citizen scientists in 11 states in the United States to collect approximately 2.5 million images. To our knowledge, this represents the largest such camera-trap effort to date. Analyses of data collected in 2011 and 2012 revealed complex, often species-specific, spatial and temporal patterns in winter raptor movement behavior as well as spatial and temporal resource partitioning between raptor species. Although programmatic advances in data analysis and involvement are needed, the continued growth of the program has the potential to provide a long-term, cost-effective, range-wide monitoring tool for avian and terrestrial scavengers during the winter season. Perhaps most importantly, by relying heavily on citizen scientists, AEMP has the potential to improve long-term interest and support for raptor conservation and serve as a model for raptor conservation programs in other portions of the world.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.571","usgsCitation":"Jachowski, D.S., Katzner, T., Rodrigue, J.L., and Ford, W.M., 2015, Monitoring landscape-level distribution and migration Phenology of Raptors using a volunteer camera-trap network: Wildlife Society Bulletin, v. 39, no. 3, p. 553-563, https://doi.org/10.1002/wsb.571.","productDescription":"11 p.","startPage":"553","endPage":"563","ipdsId":"IP-057779","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":500021,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/cb007dbfa04643b9ad65dc256e614b86","text":"External Repository"},{"id":340544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-11","publicationStatus":"PW","scienceBaseUri":"59030327e4b0e862d230f737","contributors":{"authors":[{"text":"Jachowski, David S.","contributorId":82966,"corporation":false,"usgs":true,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":693223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693222,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187269,"text":"70187269 - 2015 - Temporal variation in viral hemorrhagic septicemia virus antibodies in freshwater drum (Aplodinotus grunniens) indicates cyclic transmission in Lake Winnebago, Wisconsin","interactions":[],"lastModifiedDate":"2017-04-27T10:59:22","indexId":"70187269","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2218,"text":"Journal of Clinical Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation in viral hemorrhagic septicemia virus antibodies in freshwater drum (Aplodinotus grunniens) indicates cyclic transmission in Lake Winnebago, Wisconsin","docAbstract":"Viral hemorrhagic septicemia virus (VHSV) is an emerging pathogen that causes mass mortality in multiple fish species. In 2007, the Great Lakes freshwater strain, type IVb, caused a large die-off of freshwater drum (Aplodinotus grunniens) in Lake Winnebago, Wisconsin, USA. To evaluate the persistence and transmission of VHSV, freshwater drum from Lake Winnebago were tested for antibodies to the virus using recently developed virus neutralization (VN) and enzyme-linked immunosorbent (ELISA) assays. Samples were also tested by real-time reverse transcription-PCR (rRT-PCR) to detect viral RNA. Of 548 serum samples tested, 44 (8.03%) were positive by VN (titers ranging from 1:16 to 1:1,024) and 45 (8.21%) were positive by ELISA, including 7 fish positive by both assays. Antibody prevalence increased with age and was higher in one northwestern area of Lake Winnebago than in other areas. Of 3,864 tissues sampled from 551 fish, 1 spleen and 1 kidney sample from a single adult female fish collected in the spring of 2012 tested positive for VHSV by rRT-PCR, and serum from the same fish tested positive by VN and ELISA. These results suggest that VHSV persists and viral transmission may be active in Lake Winnebago even in years following outbreaks and that wild fish may survive VHSV infection and maintain detectable antibody titers while harboring viral RNA. Influxes of immunologically naive juvenile fish through recruitment may reduce herd immunity, allow VHSV to persist, and drive superannual cycles of transmission that may sporadically manifest as fish kills.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JCM.00010-15","usgsCitation":"Wilson-Rothering, A., Marcquenski, S., Koenigs, R.P., Bruch, R., Kamke, K., Isermann, D.A., Thurman, A., Toohey-Kurth, K., and Goldberg, T., 2015, Temporal variation in viral hemorrhagic septicemia virus antibodies in freshwater drum (Aplodinotus grunniens) indicates cyclic transmission in Lake Winnebago, Wisconsin: Journal of Clinical Microbiology, v. 53, no. 9, p. 2889-2894, https://doi.org/10.1128/JCM.00010-15.","productDescription":"6 p.","startPage":"2889","endPage":"2894","ipdsId":"IP-061770","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471835,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jcm.00010-15","text":"Publisher Index Page"},{"id":340494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Winnebago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.54156494140625,\n 43.80182757075142\n ],\n [\n -88.28201293945311,\n 43.80182757075142\n ],\n [\n -88.28201293945311,\n 44.209772586984485\n ],\n [\n -88.54156494140625,\n 44.209772586984485\n ],\n [\n -88.54156494140625,\n 43.80182757075142\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59030327e4b0e862d230f739","contributors":{"authors":[{"text":"Wilson-Rothering, Anna","contributorId":191472,"corporation":false,"usgs":false,"family":"Wilson-Rothering","given":"Anna","email":"","affiliations":[],"preferred":false,"id":693166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcquenski, Susan","contributorId":105645,"corporation":false,"usgs":true,"family":"Marcquenski","given":"Susan","email":"","affiliations":[],"preferred":false,"id":693167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenigs, Ryan P.","contributorId":191473,"corporation":false,"usgs":false,"family":"Koenigs","given":"Ryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruch, Ronald","contributorId":191474,"corporation":false,"usgs":false,"family":"Bruch","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":693169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kamke, Kendall","contributorId":191475,"corporation":false,"usgs":false,"family":"Kamke","given":"Kendall","email":"","affiliations":[],"preferred":false,"id":693170,"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":693149,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thurman, Andrew","contributorId":191477,"corporation":false,"usgs":false,"family":"Thurman","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":693171,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Toohey-Kurth, Kathy","contributorId":75852,"corporation":false,"usgs":true,"family":"Toohey-Kurth","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":693172,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goldberg, Tony","contributorId":79021,"corporation":false,"usgs":true,"family":"Goldberg","given":"Tony","affiliations":[],"preferred":false,"id":693173,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187117,"text":"70187117 - 2015 - Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","interactions":[],"lastModifiedDate":"2018-09-04T16:28:10","indexId":"70187117","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","docAbstract":"Natural perchlorate (ClO4−) is of increasing interest due to its wide-spread occurrence on Earth and Mars, yet little information exists on the relative abundance of ClO4− compared to other major anions, its stability, or long-term variations in production that may impact the observed distributions. Our objectives were to evaluate the occurrence and fate of ClO4− in groundwater and soils/caliche in arid and semi-arid environments (southwestern United States, southern Africa, United Arab Emirates, China, Antarctica, and Chile) and the relationship of ClO4− to the more well-studied atmospherically deposited anions NO3−and Cl− as a means to understand the prevalent processes that affect the accumulation of these species over various time scales. ClO4− is globally distributed in soil and groundwater in arid and semi-arid regions on Earth at concentrations ranging from 10−1to 106 μg/kg. Generally, the ClO4− concentration in these regions increases with aridity index, but also depends on the duration of arid conditions. In many arid and semi-arid areas, NO3− and ClO4− co-occur at molar ratios (NO3−/ClO4−) that vary between ∼104and 105. We hypothesize that atmospheric deposition ratios are largely preserved in hyper-arid areas that support little or no biological activity (e.g. plants or bacteria), but can be altered in areas with more active biological processes including N2 fixation, N mineralization, nitrification, denitrification, and microbial ClO4− reduction, as indicated in part by NO3− isotope data. In contrast, much larger ranges of Cl−/ClO4− and Cl−/NO3−ratios indicate Cl− varies independently from both ClO4− and NO3−. The general lack of correlation between Cl− and ClO4− or NO3− implies that Cl− is not a good indicator of co-deposition and should be used with care when interpreting oxyanion cycling in arid systems. The Atacama Desert appears to be unique compared to all other terrestrial locations having a NO3−/ClO4− molar ratio ∼103. The relative enrichment in ClO4−compared to Cl− or NO3− and unique isotopic composition of Atacama ClO4− may reflect either additional in-situ production mechanism(s) or higher relative atmospheric production rates in that specific region or in the geological past. Elevated concentrations of ClO4− reported on the surface of Mars, and its enrichment with respect to Cl− and NO3−, could reveal important clues regarding the climatic, hydrologic, and potentially biologic evolution of that planet. Given the highly conserved ratio of NO3−/ClO4− in non-biologically active areas on Earth, it may be possible to use alterations of this ratio as a biomarker on Mars and for interpreting major anion cycles and processes on both Mars and Earth, particularly with respect to the less-conserved NO3− pool terrestrially.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2015.05.016","usgsCitation":"Jackson, W., Bohlke, J., Andraski, B.J., Fahlquist, L.S., Bexfield, L.M., Eckardt, F.D., Gates, J.B., Davila, A.F., McKay, C.P., Rao, B., Sevanthi, R., Rajagopalan, S., Estrada, N., Sturchio, N.C., Hatzinger, P.B., Anderson, T.A., Orris, G.J., Betancourt, J.L., Stonestrom, D.A., Latorre, C., Li, Y., and Harvey, G.J., 2015, Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments: Geochimica et Cosmochimica Acta, v. 164, p. 502-522, https://doi.org/10.1016/j.gca.2015.05.016.","productDescription":"21 p.","startPage":"502","endPage":"522","ipdsId":"IP-065217","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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,{"id":70187759,"text":"70187759 - 2015 - The Centennial Trends Greater Horn of Africa precipitation dataset","interactions":[],"lastModifiedDate":"2018-03-27T13:07:34","indexId":"70187759","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"The Centennial Trends Greater Horn of Africa precipitation dataset","docAbstract":"East Africa is a drought prone, food and water insecure region with a highly variable climate. This complexity makes rainfall estimation challenging, and this challenge is compounded by low rain gauge densities and inhomogeneous monitoring networks. The dearth of observations is particularly problematic over the past decade, since the number of records in globally accessible archives has fallen precipitously. This lack of data coincides with an increasing scientific and humanitarian need to place recent seasonal and multi-annual East African precipitation extremes in a deep historic context. To serve this need, scientists from the UC Santa Barbara Climate Hazards Group and Florida State University have pooled their station archives and expertise to produce a high quality gridded ‘Centennial Trends’ precipitation dataset. Additional observations have been acquired from the national meteorological agencies and augmented with data provided by other universities. Extensive quality control of the data was carried out and seasonal anomalies interpolated using kriging. This paper documents the CenTrends methodology and data.
","language":"English","publisher":"Nature","doi":"10.1038/sdata.2015.50","usgsCitation":"Funk, C., Nicholson, S.E., Landsfeld, M.F., Klotter, D., Peterson, P.J., and Harrison, L., 2015, The Centennial Trends Greater Horn of Africa precipitation dataset: Scientific Data, v. 2, Article 150050; 15 p., https://doi.org/10.1038/sdata.2015.50.","productDescription":"Article 150050; 15 p.","ipdsId":"IP-064132","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471834,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2015.50","text":"Publisher Index Page"},{"id":341428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 24,\n -12\n ],\n [\n 53,\n -12\n ],\n [\n 53,\n 15\n ],\n [\n 24,\n 15\n ],\n [\n 24,\n -12\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"593e26bee4b0764e6c61b759","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":695508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Sharon E.","contributorId":192112,"corporation":false,"usgs":false,"family":"Nicholson","given":"Sharon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landsfeld, Martin F.","contributorId":89806,"corporation":false,"usgs":true,"family":"Landsfeld","given":"Martin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":695510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klotter, Douglas","contributorId":192113,"corporation":false,"usgs":false,"family":"Klotter","given":"Douglas","email":"","affiliations":[],"preferred":false,"id":695511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Pete J.","contributorId":32453,"corporation":false,"usgs":true,"family":"Peterson","given":"Pete","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":695512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harrison, Laura","contributorId":78859,"corporation":false,"usgs":true,"family":"Harrison","given":"Laura","affiliations":[],"preferred":false,"id":695513,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187279,"text":"70187279 - 2015 - Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system","interactions":[],"lastModifiedDate":"2017-04-28T10:47:35","indexId":"70187279","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system","docAbstract":"We developed a hierarchical multistate model to estimate survival of Atlantic salmon (Salmo salar) smolts in the Penobscot River, USA, over a decade during which two mainstem dams were removed from the catchment. We investigated effects of (i) environmental factors, (ii) rearing history, and (iii) management actions, including dam removal, turbine shutdown, and installation of new powerhouses. Mean ± SD smolt survival per kilometre was higher through free-flowing reaches of the catchment (0.995 ± 0.004·km−1) than through reaches containing dams that remain in the system (0.970 ± 0.019·km−1). We observed maximum survival between 12 and 17 °C and at intermediate discharges (1200 m3·s−1). Smolt survival increased concurrent with dam removal and decreased following increases in hydropower generation. The greatest increase in smolt survival followed seasonal turbine shutdowns at a dam located on the largest tributary to the Penobscot River, while other shutdowns had little influence. Our model provides a useful tool for assessing changes to survival of migratory species and will be useful for informing stocking plans to maximize numbers of smolts leaving coastal systems.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0573","usgsCitation":"Stich, D.S., Bailey, M.M., Holbrook, C., Kinnison, M.T., and Zydlewski, J.D., 2015, Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 9, p. 1352-1365, https://doi.org/10.1139/cjfas-2014-0573.","productDescription":"14 p.","startPage":"1352","endPage":"1365","ipdsId":"IP-060933","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a7e4b022cee40dc24e","contributors":{"authors":[{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":693447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Michael M.","contributorId":169684,"corporation":false,"usgs":false,"family":"Bailey","given":"Michael","email":"","middleInitial":"M.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":693448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":693449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":693450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":693210,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162015,"text":"70162015 - 2015 - Upgrade of the New China Digital Seismograph Network","interactions":[],"lastModifiedDate":"2016-01-13T09:54:03","indexId":"70162015","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Upgrade of the New China Digital Seismograph Network","docAbstract":"No abstract available.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140182","usgsCitation":"Anderson, D., Anderson, J., Ford, D., Gee, L.S., Gyure, G., Hutt, C.R., Kromer, E., Marshall, B., Persefield, K., Ringler, A.T., Sharratt, M., Storm, T., Wilson, D.C., Yang, D., and Zheng, Z., 2015, Upgrade of the New China Digital Seismograph Network: Seismological Research Letters, v. 86, no. 5, p. 1364-1373, https://doi.org/10.1785/0220140182.","productDescription":"10 p.","startPage":"1364","endPage":"1373","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066237","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver 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,{"id":70148613,"text":"70148613 - 2015 - Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA","interactions":[],"lastModifiedDate":"2015-09-16T09:49:22","indexId":"70148613","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3895,"text":"Journal of North American Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA","docAbstract":"We estimated wetland occupancy and population trends for three species of pond-breeding anurans in Yosemite National Park from 2007-2011. We used a double survey technique in which two observers independently surveyed each site on the same day. Double surveys allowed us to calculate detectability for the three most common anurans within the park: Rana sierrae, Anaxyrus canorus, and Pseudacris regilla. Annual estimates of detectability were generally high; mean detectability ranged from 73.7% + 0.6 (SE) for any life history stage of A. canorus to 86.7% + 0.7 for sites with P. regilla reproduction (eggs or larvae present). Detectability was most variable for Anaxyrus canorus, which ranged from 45.9% to 99.7%. The probability of occupancy for R. sierrae was highest in larger, low-elevation wetlands that lacked fish. Anaxyrus canorus were more common in shallow high-elevation ponds; their occurrence was minimally impacted by the presence of fish. Finally, occurrence of P. regilla was largely unrelated to wetland size and elevation, but like R. sierrae, they were less likely to occupy sites with fi sh. Occupancy showed no trend over the five years of our study for R. sierrae or A. canorus when considering either sites with any life stage or only sites with reproduction. However, P. regilla showed a modest downward trend for sites with any life stage and sites with reproduction. Our results for R. sierrae run counter to expectations given recent concern about the decline of this species, while our findings for P. regilla raise concerns for this widespread and generally common species.
","language":"English","publisher":"The Center for North American Herpetology","usgsCitation":"Fellers, G.M., Kleeman, P.M., and Miller, D., 2015, Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA: Journal of North American Herpetology, v. 2015, no. 1, p. 22-33.","productDescription":"12 p","startPage":"22","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-059719","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":308163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305748,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://jnah.cnah.org/default.aspx","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.66583251953124,\n 37.41270958119496\n ],\n [\n -119.80590820312499,\n 37.66860332433055\n ],\n [\n -119.89929199218749,\n 37.808698976006795\n ],\n [\n -119.94529724121092,\n 38.129155479572624\n ],\n [\n -119.46258544921874,\n 38.13779704369439\n ],\n [\n -119.25796508789061,\n 37.938782346134396\n ],\n [\n -119.14810180664061,\n 37.74465712069939\n ],\n [\n -119.13162231445311,\n 37.54131068652799\n ],\n [\n -119.26895141601562,\n 37.42361656106772\n ],\n [\n -119.66583251953124,\n 37.41270958119496\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2015","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92d8e4b05d6c4e501aee","contributors":{"authors":[{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":548888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168977,"text":"70168977 - 2015 - Sediment yields from small, steep coastal watersheds of California","interactions":[],"lastModifiedDate":"2016-03-10T09:35:29","indexId":"70168977","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Sediment yields from small, steep coastal watersheds of California","docAbstract":"Global inventories of sediment discharge to the ocean highlight the importance of small, steep watersheds (i.e., those having drainage areas less than 100,000 km2 and over 1000 m of relief) that collectively provide a dominant flux of sediment. The smallest of these coastal watersheds (e.g., those that have drainage areas less than 1000 km2) can represent a large portion of the drainage areas of active margin coasts, such as California’s coast, but remain almost universally unmonitored. Here we report on the suspended-sediment discharge of several small coastal watersheds (10-56 km2) of the Santa Ynez Mountains, California, that were found to have ephemeral discharge and suspended-sediment concentrations ranging between 1 and over 200,000 mgL-1. Sediment concentrations were weakly correlated with discharge (r2 = 0.10–0.25), and all types of hysteresis patterns were observed during high flows (clockwise, counterclockwise, no hysteresis, and complex). Sediment discharge varied strongly with time and was measurably elevated in one watershed following a wildfire. Although sediment yields varied by over 100-fold across the watersheds (e.g., 15 – 2100 tkm-2 yr -1during the relatively wet 2005 water year), the majority of sediment discharge (65-80%) occurred during only 1% of the time for all watersheds. Furthermore, sampling of dozens of high flow events provides evidence that sediment yields were generally related to peak discharge yields, although these relationships were not consistent across the watersheds. These results suggest that small watersheds of active margins can provide large fluxes of sediment to the coast, but that the rates and timing of this sediment discharge is more irregular in time – and thus more difficult to characterize – than the better monitored and studied watersheds that are 1000-100,000 km2.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.08.004","usgsCitation":"Warrick, J., Melack, J.M., and Goodridge, B.M., 2015, Sediment yields from small, steep coastal watersheds of California: Journal of Hydrology: Regional Studies, v. 4, no. Part B, p. 516-534, https://doi.org/10.1016/j.ejrh.2015.08.004.","productDescription":"19 p.","startPage":"516","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052345","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.08.004","text":"Publisher Index Page"},{"id":318770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.69305419921874,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 33.831638461142866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"Part B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e2a8cce4b0f59b85d391b0","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":146720,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":622424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melack, John M.","contributorId":167466,"corporation":false,"usgs":false,"family":"Melack","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodridge, Blair M.","contributorId":167467,"corporation":false,"usgs":false,"family":"Goodridge","given":"Blair","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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