{"pageNumber":"1225","pageRowStart":"30600","pageSize":"25","recordCount":165232,"records":[{"id":70157261,"text":"70157261 - 2015 - Avian malaria in Hawaiian forest birds: Infection and population impacts across species and elevations","interactions":[],"lastModifiedDate":"2024-10-01T13:17:06.779702","indexId":"70157261","displayToPublicDate":"2015-01-11T03:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Avian malaria in Hawaiian forest birds: Infection and population impacts across species and elevations","docAbstract":"<div data-canvas-width=\"613.6371337833332\"><span>Wildlife diseases can present significant threats to ecological systems and biological diversity, as well as domestic animal and human health. However, determining the dynamics of wildlife diseases and understanding the impact on host populations is a significant challenge. In Hawai‘i, there is ample circumstantial evidence that introduced avian malaria (</span><i>Plasmodium relictum</i><span>) has played an important role in the decline and extinction of many native forest birds. However, few studies have attempted to estimate disease transmission and mortality, survival, and individual species impacts in this distinctive ecosystem. We combined multi-state capture-recapture (longitudinal) models with cumulative age-prevalence (cross-sectional) models to evaluate these patterns in Apapane, Hawai‘i Amakihi, and Iiwi in low-, mid-, and high-elevation forests on the island of Hawai‘i based on four longitudinal studies of 3–7 years in length. We found species-specific patterns of malaria prevalence, transmission, and mortality rates that varied among elevations, likely in response to ecological factors that drive mosquito abundance. Malaria infection was highest at low elevations, moderate at mid elevations, and limited in high-elevation forests. Infection rates were highest for Iiwi and Apapane, likely contributing to the absence of these species in low-elevation forests. Adult malaria fatality rates were highest for Iiwi, intermediate for Amakihi at mid and high elevations, and lower for Apapane; low-elevation Amakihi had the lowest malaria fatality, providing strong evidence of malaria tolerance in this low-elevation population. Our study indicates that hatch-year birds may have greater malaria infection and/or fatality rates than adults. Our study also found that mosquitoes prefer feeding on Amakihi rather than Apapane, but Apapane are likely a more important reservoir for malaria transmission to mosquitoes. Our approach, based on host abundance and infection rates, may be an effective alternative to mosquito blood meal analysis for determining vector-host contacts when mosquito densities are low and collection of blood-fed mosquitoes is impractical. Our study supports the hypothesis that avian malaria has been a primary factor influencing the elevational distribution and abundance of these three species, and likely limits other native Hawaiian species that are susceptible to malaria.</span></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES14-00393.1","usgsCitation":"Samuel, M., Woodworth, B., Atkinson, C.T., Hart, P.J., and LaPointe, D., 2015, Avian malaria in Hawaiian forest birds: Infection and population impacts across species and elevations: Ecosphere, v. 6, no. 6, p. 1-21, https://doi.org/10.1890/ES14-00393.1.","productDescription":"21 p.","startPage":"1","endPage":"21","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":472340,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00393.1","text":"Publisher Index 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,{"id":70137253,"text":"70137253 - 2015 - Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA","interactions":[],"lastModifiedDate":"2015-06-02T11:09:36","indexId":"70137253","displayToPublicDate":"2015-01-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA","docAbstract":"<p><span>Groundwater with elevated dissolved-solids concentrations&mdash;containing large concentrations of chloride, sodium, sulfate, and calcium&mdash;is present in the Mud Lake area of Eastern Idaho. The source of these solutes is unknown; however, an understanding of the geochemical sources and processes controlling their presence in groundwater in the Mud Lake area is needed to better understand the geochemical sources and processes controlling the water quality of groundwater at the Idaho National Laboratory. The geochemical sources and processes controlling the water quality of groundwater in the Mud Lake area were determined by investigating the geology, hydrology, land use, and groundwater geochemistry in the Mud Lake area, proposing sources for solutes, and testing the proposed sources through geochemical modeling with PHREEQC. Modeling indicated that sources of water to the eastern Snake River Plain aquifer were groundwater from the Beaverhead Mountains and the Camas Creek drainage basin; surface water from Medicine Lodge and Camas Creeks, Mud Lake, and irrigation water; and upward flow of geothermal water from beneath the aquifer. Mixing of groundwater with surface water or other groundwater occurred throughout the aquifer. Carbonate reactions, silicate weathering, and dissolution of evaporite minerals and fertilizer explain most of the changes in chemistry in the aquifer. Redox reactions, cation exchange, and evaporation were locally important. The source of large concentrations of chloride, sodium, sulfate, and calcium was evaporite deposits in the unsaturated zone associated with Pleistocene Lake Terreton. Large amounts of chloride, sodium, sulfate, and calcium are added to groundwater from irrigation water infiltrating through lake bed sediments containing evaporite deposits and the resultant dissolution of gypsum, halite, sylvite, and bischofite.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12665-014-3988-9","usgsCitation":"Rattray, G.W., 2015, Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA: Environmental Earth Sciences, v. 73, no. 12, p. 8251-8269, https://doi.org/10.1007/s12665-014-3988-9.","productDescription":"19 p.","startPage":"8251","endPage":"8269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054801","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":472341,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12665-014-3988-9","text":"Publisher Index Page"},{"id":297528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Mud Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.09228515624999,\n              49.009050809382046\n            ],\n            [\n              -117.158203125,\n              42.04929263868686\n            ],\n            [\n              -111.005859375,\n              42.01665183556825\n            ],\n            [\n              -111.11572265625,\n              44.77793589631623\n            ],\n            [\n              -116.08154296875001,\n              48.99463598353408\n            ],\n            [\n              -117.09228515624999,\n              49.009050809382046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"73","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-10","publicationStatus":"PW","scienceBaseUri":"54dd2a7de4b08de9379b30a4","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70137564,"text":"ofr20141159 - 2015 - Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012","interactions":[],"lastModifiedDate":"2015-01-09T12:34:30","indexId":"ofr20141159","displayToPublicDate":"2015-01-09T13:30:00","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":"2014-1159","title":"Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012","docAbstract":"<p><span>An oceanographic field study during January through April 2012 investigated processes that control the sediment-transport dynamics near Fire Island, New York. This report describes the project background, field program, instrumentation configuration, and locations of the sensors deploymed. The data collected and supporting meteorological observations are presented as time series plots for data visualization. Additionally, individual, links to the database containing digital data files are available as part of this report.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141159","collaboration":"Prepared in cooperation with the University of South Carolina","usgsCitation":"Armstrong, B., Warner, J., List, J., Martini, M.A., Montgomery, E., Voulgaris, G., and Traykovski, P.A., 2015, Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012: U.S. Geological Survey Open-File Report 2014-1159, HTML Document, https://doi.org/10.3133/ofr20141159.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-04-30","ipdsId":"IP-056000","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141159.JPG"},{"id":297095,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1159/"},{"id":297096,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1159/ofr2014-1159-title_page.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.4051513671875,\n              40.59935608796518\n            ],\n            [\n              -73.4051513671875,\n              40.76390128094589\n            ],\n            [\n              -72.78854370117188,\n              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jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":127596,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Montgomery, Ellyn T. emontgomery@usgs.gov","contributorId":407,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","email":"emontgomery@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":537961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Traykovski, Peter A. 0000-0002-8163-6857","orcid":"https://orcid.org/0000-0002-8163-6857","contributorId":69487,"corporation":false,"usgs":false,"family":"Traykovski","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":537962,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70138887,"text":"70138887 - 2015 - Erratum to: Estimates of vital rates for a declining loggerhead turtle (<i>Caretta caretta</i>) subpopulation: implications for management","interactions":[],"lastModifiedDate":"2015-01-23T14:23:23","indexId":"70138887","displayToPublicDate":"2015-01-09T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Erratum to: Estimates of vital rates for a declining loggerhead turtle (<i>Caretta caretta</i>) subpopulation: implications for management","docAbstract":"<p><strong>Erratum to: Mar Biol (2014) 161:2659&ndash;2668 DOI 10.1007/s00227-014-2537-0</strong></p>\n<p>The Open Robust Model methods used for analysis in this study were developed by Kendall and Bjorkland (<span>2001</span>) and Kendall (<span>2010</span>). The language used in this manuscript to describe formatting and implementation of data for these analyses was derived heavily from Phillips et al. (<span>2014</span>). Therefore, the wording in the last paragraph of the &lsquo;Materials and methods&rsquo; (p. 2662) and in the last paragraph of the &lsquo;Results&rsquo; (p. 2663) of our publication is largely identical to the corresponding sections on pp. 865&ndash;866 in Phillips et al. (<span>2014</span>). Unfortunately, we did not indicate this adequately, thus proper credit was not given to the contribution of Phillips et al. (<span>2014</span>) in our publication.</p>","language":"English","publisher":"Springer","usgsCitation":"Lamont, M.M., Fujisaki, I., and Carthy, R.R., 2015, Erratum to: Estimates of vital rates for a declining loggerhead turtle (<i>Caretta caretta</i>) subpopulation: implications for management: Marine Biology, v. 162, no. 2, p. 491-491.","productDescription":"1 p.","startPage":"491","endPage":"491","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061249","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297489,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00227-014-2598-0"}],"volume":"162","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a70e4b08de9379b3066","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":539163,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70134232,"text":"ofr20141231 - 2015 - Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013","interactions":[],"lastModifiedDate":"2015-01-26T13:07:58","indexId":"ofr20141231","displayToPublicDate":"2015-01-08T09:45:00","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":"2014-1231","title":"Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013","docAbstract":"<p><span>During May&ndash;June, 2013, the U.S. Geological Survey, in cooperation with Park County, Colorado, drilled and installed four groundwater monitoring wells in areas identified as needing new wells to provide adequate spatial coverage for monitoring water quality in the South Park basin. Lithologic logs and well-construction reports were prepared for each well, and wells were developed after drilling to remove mud and foreign material to provide for good hydraulic connection between the well and aquifer. Slug tests were performed to estimate hydraulic-conductivity values for aquifer materials in the screened interval of each well, and groundwater samples were collected from each well for analysis of major inorganic constituents, trace metals, nutrients, dissolved organic carbon, volatile organic compounds, ethane, methane, and radon. Documentation of lithologic logs, well construction, well development, slug testing, and groundwater sampling are presented in this report.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141231","collaboration":"Prepared in cooperation with Park County, Colorado","usgsCitation":"Arnold, L.R., 2015, Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013: U.S. Geological Survey Open-File Report 2014-1231, Report: v, 32 p.; Appendixes 1-4, https://doi.org/10.3133/ofr20141231.","productDescription":"Report: v, 32 p.; Appendixes 1-4","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-05-01","temporalEnd":"2013-06-30","ipdsId":"IP-054626","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":297075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141231.jpg"},{"id":297068,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1231/"},{"id":297069,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1231/pdf/ofr2014-1231.pdf","text":"Report","size":"8.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297070,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix1_logs.pdf","text":"Appendix 1","size":"109 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1","linkHelpText":"Lithologic Logs"},{"id":297071,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix2_diagrams.pdf","text":"Appendix 2","size":"432 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2","linkHelpText":"Well-Constructed Diagrams"},{"id":297072,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix3_development.pdf","text":"Appendix 3","size":"91 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 3","linkHelpText":"Well-Developed Records"},{"id":297073,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix4_qc_data.xlsx","text":"Appendix 4","size":"33 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 4","linkHelpText":"Water-Quality Control Data"}],"datum":"North American Datum of 1983","country":"United States","state":"Colorado","county":"Park County","otherGeospatial":"South Park basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.10321044921875,\n              38.700515838688716\n            ],\n            [\n              -106.10321044921875,\n              39.42770738465604\n            ],\n            [\n              -105.45364379882812,\n              39.42770738465604\n            ],\n            [\n              -105.45364379882812,\n              38.700515838688716\n            ],\n            [\n              -106.10321044921875,\n              38.700515838688716\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a9ae4b08de9379b312e","contributors":{"authors":[{"text":"Arnold, L. R. 0000-0002-5110-9642 lrarnold@usgs.gov","orcid":"https://orcid.org/0000-0002-5110-9642","contributorId":1307,"corporation":false,"usgs":true,"family":"Arnold","given":"L.","email":"lrarnold@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525701,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70140287,"text":"70140287 - 2015 - Prevalence of toxin-producing Clostridium botulinum associated with the macroalga Cladophora in three Great Lakes: Growth and management","interactions":[],"lastModifiedDate":"2021-09-01T12:27:24.376222","indexId":"70140287","displayToPublicDate":"2015-01-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Prevalence of toxin-producing <i>Clostridium botulinum</i> associated with the macroalga <i>Cladophora</i> in three Great Lakes: growth and management","title":"Prevalence of toxin-producing Clostridium botulinum associated with the macroalga Cladophora in three Great Lakes: Growth and management","docAbstract":"<p><span>The reemergence of avian botulism caused by&nbsp;</span><i>Clostridium botulinum</i><span>&nbsp;type E has been observed across the Great Lakes in recent years. Evidence suggests an association between the nuisance algae,&nbsp;</span><i>Cladophora</i><span>spp., and&nbsp;</span><i>C. botulinum</i><span>&nbsp;in nearshore areas of the Great Lakes. However, the nature of the association between&nbsp;</span><i>Cladophora</i><span>&nbsp;and&nbsp;</span><i>C. botulinum</i><span>&nbsp;is not fully understood due, in part, to the complex food web interactions in this disease etiology. In this study, we extensively evaluated their association by quantitatively examining population size and serotypes of&nbsp;</span><i>C. botulinum</i><span>&nbsp;in algal mats collected from wide geographic areas in lakes Michigan, Ontario, and Erie in 2011&ndash;2012 and comparing them with frequencies in other matrices such as sand and water. A high prevalence (96%) of&nbsp;</span><i>C. botulinum</i><span>&nbsp;type E was observed in</span><i>Cladophora</i><span>&nbsp;mats collected from shorelines of the Great Lakes in 2012. Among the algae samples containing detectable&nbsp;</span><i>C. botulinum</i><span>, the population size of&nbsp;</span><i>C. Botulinum</i><span>&nbsp;type E was 10</span><sup>0</sup><span>&ndash;10</span><sup>4</sup><span>&nbsp;MPN/g dried algae, which was much greater (up to 10</span><sup>3</sup><span>&nbsp;fold) than that found in sand or the water column, indicating that</span><i>Cladophora</i><span>&nbsp;mats are sources of this pathogen. Mouse toxinantitoxin bioassays confirmed that the putative</span><i>C. botulinum</i><span>&nbsp;belonged to the type E serotype. Steam treatment was effective in reducing or eliminating&nbsp;</span><i>C. botulinum</i><span>&nbsp;type E viable cells in&nbsp;</span><i>Cladophora</i><span>&nbsp;mats, thereby breaking the potential transmission route of toxin up to the food chain. Consequently, our data suggest that steam treatment incorporated with a beach cleaning machine may be an effective treatment of&nbsp;</span><i>Cladophora</i><span>-borne&nbsp;</span><i>C. botulinum</i><span>&nbsp;and may reduce bird mortality and human health risks.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.12.080","usgsCitation":"Chun, C.L., Kahn, C.I., Borchert, A.J., Byappanahalli, M., Whitman, R.L., Peller, J.R., Pier, C., Lin, G., Johnson, E.A., and Sadowsky, M.J., 2015, Prevalence of toxin-producing Clostridium botulinum associated with the macroalga Cladophora in three Great Lakes: Growth and management: Science of the Total Environment, v. 511, p. 523-529, https://doi.org/10.1016/j.scitotenv.2014.12.080.","productDescription":"7 p.","startPage":"523","endPage":"529","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060741","costCenters":[{"id":324,"text":"Great Lakes Science 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I.","contributorId":139078,"corporation":false,"usgs":false,"family":"Kahn","given":"Chase","email":"","middleInitial":"I.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":539942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borchert, Andrew J.","contributorId":139079,"corporation":false,"usgs":false,"family":"Borchert","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":539943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byappanahalli, Muruleedhara N. byappan@usgs.gov","contributorId":3324,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":539940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":539944,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peller, Julie R.","contributorId":48889,"corporation":false,"usgs":false,"family":"Peller","given":"Julie","email":"","middleInitial":"R.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":539945,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pier, Christina","contributorId":139080,"corporation":false,"usgs":false,"family":"Pier","given":"Christina","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":539946,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lin, Guangyun","contributorId":106774,"corporation":false,"usgs":false,"family":"Lin","given":"Guangyun","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":539947,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Eric A.","contributorId":80158,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":539948,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":539949,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70147951,"text":"70147951 - 2015 - Multilevel learning in the adaptive management of waterfowl harvests: 20 years and counting","interactions":[],"lastModifiedDate":"2015-05-08T15:00:19","indexId":"70147951","displayToPublicDate":"2015-01-08T00:00:00","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":"Multilevel learning in the adaptive management of waterfowl harvests: 20 years and counting","docAbstract":"<p><span>In 1995, the U.S. Fish and Wildlife Service implemented an adaptive harvest management program (AHM) for the sport harvest of midcontinent mallards (</span><i>Anas platyrhynchos</i><span>). The program has been successful in reducing long-standing contentiousness in the regulatory process, while integrating science and policy in a coherent, rigorous, and transparent fashion. After 20 years, much has been learned about the relationship among waterfowl populations, their environment, and hunting regulations, with each increment of learning contributing to better management decisions. At the same time, however, much has been changing in the social, institutional, and environmental arenas that provide context for the AHM process. Declines in hunter numbers, competition from more pressing conservation issues, and global-change processes are increasingly challenging waterfowl managers to faithfully reflect the needs and desires of stakeholders, to account for an increasing number of institutional constraints, and to (probabilistically) predict the consequences of regulatory policy in a changing environment. We review the lessons learned from the AHM process so far, and describe emerging challenges and ways in which they may be addressed. We conclude that the practice of AHM has greatly increased an awareness of the roles of social values, trade-offs, and attitudes toward risk in regulatory decision-making. Nevertheless, going forward the waterfowl management community will need to focus not only on the relationships among habitat, harvest, and waterfowl populations, but on the ways in which society values waterfowl and how those values can change over time.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.518","usgsCitation":"Johnson, F.A., Boomer, G.S., Williams, B., Nichols, J., and Case, D.J., 2015, Multilevel learning in the adaptive management of waterfowl harvests: 20 years and counting: Wildlife Society Bulletin, v. 39, no. 1, p. 9-19, https://doi.org/10.1002/wsb.518.","productDescription":"11 p.","startPage":"9","endPage":"19","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056296","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.518","text":"Publisher Index Page"},{"id":300245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-08","publicationStatus":"PW","scienceBaseUri":"554dde2fe4b082ec54129f2c","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":546478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boomer, G. Scott","contributorId":139565,"corporation":false,"usgs":false,"family":"Boomer","given":"G.","email":"","middleInitial":"Scott","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":546479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Byron K.","contributorId":139564,"corporation":false,"usgs":false,"family":"Williams","given":"Byron K.","affiliations":[{"id":12801,"text":"The Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":546480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":546481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Case, David J.","contributorId":140653,"corporation":false,"usgs":false,"family":"Case","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13543,"text":"DJ Case & Associates","active":true,"usgs":false}],"preferred":false,"id":546482,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70126408,"text":"ofr20141207 - 2015 - Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","interactions":[],"lastModifiedDate":"2015-01-26T13:05:44","indexId":"ofr20141207","displayToPublicDate":"2015-01-07T13:30:00","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":"2014-1207","title":"Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","docAbstract":"<p><span>The U.S. Geological Survey (USGS) has compiled a database consisting of three worksheets of central Appalachian basin natural gas analyses and isotopic compositions from published and unpublished sources of 1,282 gas samples from Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The database includes field and reservoir names, well and State identification number, selected geologic reservoir properties, and the composition of natural gases (methane; ethane; propane; butane,</span><i>&nbsp;iso</i><span>-butane [</span><i>i</i><span>-butane]; normal butane [</span><i>n</i><span>-butane];&nbsp;</span><i>iso</i><span>-pentane [</span><i>i</i><span>-pentane]; normal pentane [</span><i>n</i><span>-pentane]; cyclohexane, and hexanes). In the first worksheet, location and American Petroleum Institute (API) numbers from public or published sources are provided for 1,231 of the 1,282 gas samples. A second worksheet of 186 gas samples was compiled from published sources and augmented with public location information and contains carbon, hydrogen, and nitrogen isotopic measurements of natural gas. The third worksheet is a key for all abbreviations in the database. The database can be used to better constrain the stratigraphic distribution, composition, and origin of natural gas in the central Appalachian basin.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141207","usgsCitation":"Roman Colon, Y.A., and Ruppert, L.F., 2015, Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases: U.S. Geological Survey Open-File Report 2014-1207, Report: iv, 13 p.; Appendix, https://doi.org/10.3133/ofr20141207.","productDescription":"Report: iv, 13 p.; Appendix","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040818","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":297038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141207.jpg"},{"id":297035,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1207/"},{"id":297036,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1207/pdf/ofr2014-1207.pdf","text":"Report","size":"15.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297037,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1207/appendix/ofr2014-1207_appendix1.xlsx","text":"Appendix 1","size":"738 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1","linkHelpText":"This is an electronic copy of Appendix 1 that contains three worksheets of central Appalachian Basin Natural Gas Analyses and Isotopic Compositions."}],"country":"United States","state":"Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia","otherGeospatial":"Appalachian basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ce4b08de9379b300c","contributors":{"authors":[{"text":"Roman Colon, Yomayra A.","contributorId":120751,"corporation":false,"usgs":true,"family":"Roman Colon","given":"Yomayra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":519550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":519549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125302,"text":"sir20145180 - 2015 - Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012","interactions":[],"lastModifiedDate":"2015-01-26T13:04:17","indexId":"sir20145180","displayToPublicDate":"2015-01-07T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5180","title":"Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012","docAbstract":"<p>Digital flood-inundation maps for a 39.7-mile reach of the Blue River and selected tributaries (Brush Creek, Indian Creek, and Dyke Branch) at Kansas City, Missouri, and vicinity, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Kansas City, Missouri. The flood-inundation maps, accessed through the USGS Flood-Inundation Mapping Science Web site at&nbsp;http://water.usgs.gov/osw/flood_inundation/, depict estimates of the spatial extent and depth of flooding corresponding to selected water levels (stages) at 15 reference streamgages and associated stream reaches in the Blue River Basin. Near-real-time stage data from the streamgages may be obtained from the USGS National Water Information System at&nbsp;http://waterdata.usgs.gov/&nbsp;or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at&nbsp;http://water.weather.gov/ahps/, which also forecasts flood hydrographs at selected sites.</p>\n<p>&nbsp;</p>\n<p>Flood profiles were computed for each of 15 reaches by means of one-dimensional or two-dimensional hydraulic models. The models were calibrated by using the current stage-streamflow relations at 10 USGS streamgages and documented high-water marks from the flood of June 14, 2010. Hydraulic models were then used to compute water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the National Weather Service Action stage, or near bankfull streamflow, through the stage corresponding to, or exceeding, the estimated 0.2-percent annual exceedance probability flood (500-year recurrence interval flood).</p>\n<p>&nbsp;</p>\n<p>The simulated water-surface profiles were then combined with a geographic information system (GIS) terrain model derived from light detection and ranging (lidar) data having a vertical accuracy of less than 0.6 foot and maximum nominal horizontal post spacing of 2.46&ndash;3.28 feet to delineate the area flooded at each 1-foot increment of stage. The availability of these flood-inundation maps, along with Internet information regarding current stage from the USGS streamgages and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.</p>\n<p>&nbsp;</p>\n<p>Additional information in this report includes maps of simulated stream velocity for an 8.2-mile, two-dimensional modeled reach of the Blue River and a Wetland Restoration Suitability Index (WRSI) generated for the study area that was based on hydrologic, topographic, and land-use digital feature layers. The calculated WRSI for the selected flood-plain area ranged from 1 (least suitable for possible wetland mitigation efforts) to 10 (most suitable for possible wetland mitigation efforts). A WRSI of 5 to 10 is most closely associated with existing riparian wetlands in the study area. The WRSI allows for the identification of lands along the Blue River and selected tributaries that are most suitable for restoration or creation of wetlands. Alternatively, the index can be used to identify and avoid disturbances to areas with the highest potential to support healthy sustainable riparian wetlands.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145180","usgsCitation":"Heimann, D.C., Kelly, B.P., and Studley, S.E., 2015, Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012: U.S. Geological Survey Scientific Investigations Report 2014-5180, Report: vii, 23 p.; 7 Tables; Geospatial Data Files, https://doi.org/10.3133/sir20145180.","productDescription":"Report: vii, 23 p.; 7 Tables; Geospatial Data Files","numberOfPages":"36","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058050","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":297020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145180.jpg"},{"id":297016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5180/"},{"id":297017,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5180/pdf/sir2014-5180.pdf","text":"Report","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297018,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5180/downloads/tables_sir2014-5180/","text":"Tables 1, 2, 3, 5, 6, and 8","description":"Tables"},{"id":297019,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2014/5180/downloads/gis_data/","text":"Geospatial Data Files","description":"Geospatial Data Files","linkHelpText":"Contains flood-inundation shapefiles, water-depth grid files, and Wetland Restoration Suitability Index raster file"}],"country":"United States","state":"Missouri","city":"Kansas City","otherGeospatial":"Blue River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.63348388671875,\n              39.11407918425643\n            ],\n            [\n              -94.48104858398438,\n              39.11407918425643\n            ],\n            [\n              -94.48791503906249,\n              39.0373196521048\n            ],\n            [\n              -94.64035034179688,\n              39.04265287290379\n            ],\n            [\n              -94.63348388671875,\n              39.11407918425643\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a77e4b08de9379b3087","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Studley, Seth E. sstudley@usgs.gov","contributorId":5916,"corporation":false,"usgs":true,"family":"Studley","given":"Seth","email":"sstudley@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":519493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70137254,"text":"70137254 - 2015 - Coupling age-structured stock assessment and fish bioenergetics models: a system of time-varying models for quantifying piscivory patterns during the rapid trophic shift in the main basin of Lake Huron","interactions":[],"lastModifiedDate":"2015-01-07T10:02:46","indexId":"70137254","displayToPublicDate":"2015-01-07T10:45:00","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":"Coupling age-structured stock assessment and fish bioenergetics models: a system of time-varying models for quantifying piscivory patterns during the rapid trophic shift in the main basin of Lake Huron","docAbstract":"<p><span>We quantified piscivory patterns in the main basin of Lake Huron during 1984&ndash;2010 and found that the biomass transfer from prey fish to piscivores remained consistently high despite the rapid major trophic shift in the food webs. We coupled age-structured stock assessment models and fish bioenergetics models for lake trout (</span><i>Salvelinus namaycush</i><span>), Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>), walleye (</span><i>Sander vitreus</i><span>), and lake whitefish (</span><i>Coregonus clupeaformis</i><span>). The model system also included time-varying parameters or variables of growth, length&ndash;mass relations, maturity schedules, energy density, and diets. These time-varying models reflected the dynamic connections that a fish cohort responded to year-to-year ecosystem changes at different ages and body sizes. We found that the ratio of annual predation by lake trout, Chinook salmon, and walleye combined with the biomass indices of age-1 and older alewives (</span><i>Alosa pseudoharengus</i><span>) and rainbow smelt (</span><i>Osmerus mordax</i><span>) increased more than tenfold during 1987&ndash;2010, and such increases in predation pressure were structured by relatively stable biomass of the three piscivores and stepwise declines in the biomass of alewives and rainbow smelt. The piscivore stability was supported by the use of alternative energy pathways and changes in relative composition of the three piscivores. In addition, lake whitefish became a new piscivore by feeding on round goby (</span><i>Neogobius melanostomus</i><span>). Their total fish consumption rivaled that of the other piscivores combined, although fish were still a modest proportion of their diet. Overall, the use of alternative energy pathways by piscivores allowed the increases in predation pressure on dominant diet species.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0161","usgsCitation":"He, J.X., Bence, J., Madenjian, C.P., Pothoven, S.A., Dobiesz, N.E., Fielder, D., Johnson, J.E., Ebener, M.P., Cottrill, A.R., Mohr, L.C., and Koproski, S.R., 2015, Coupling age-structured stock assessment and fish bioenergetics models: a system of time-varying models for quantifying piscivory patterns during the rapid trophic shift in the main basin of Lake Huron: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 1, p. 7-23, https://doi.org/10.1139/cjfas-2014-0161.","productDescription":"17 p.","startPage":"7","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056582","costCenters":[{"id":324,"text":"Great Lakes Science 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cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":537580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":537583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dobiesz, Norine E.","contributorId":75115,"corporation":false,"usgs":false,"family":"Dobiesz","given":"Norine","email":"","middleInitial":"E.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":537584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fielder, David 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S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":537590,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70137247,"text":"70137247 - 2015 - Expanded secondary craters in the Arcadia Planitia region, Mars: evidence for tens of Myr-old shallow subsurface ice","interactions":[],"lastModifiedDate":"2018-11-01T15:15:46","indexId":"70137247","displayToPublicDate":"2015-01-07T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Expanded secondary craters in the Arcadia Planitia region, Mars: evidence for tens of Myr-old shallow subsurface ice","docAbstract":"<p><span>A range of observations indicates widespread subsurface ice throughout the mid and high latitudes of Mars in the form of both pore-filling and excess ice. It is generally thought that this ice was recently emplaced and is not older than a hundred thousand to a few millions of years old based on ice stability and orbital-induced climate change. We analyze the distribution of subsurface ice in Arcadia Planitia, located in the northern mid latitudes, by mapping thermokarstically expanded secondary craters, providing additional evidence for extensive excess ice down to fairly low latitudes (less than 40&deg;N). We further infer the minimum age of this subsurface ice based on the ages of the four primary craters that are thought to be the source of a large portion of these secondaries, which yields estimates on the order of tens of millions of years old &ndash; much more ancient than anticipated. This estimated ancient age suggests that ice can be preserved in the shallow subsurface for long periods of time, at least in some parts of Arcadia Planitia where expanded secondary craters are especially abundant. We estimate the amount of ice lost to sublimation during crater expansion based on measurements of expanded secondary craters in HiRISE Digital Terrain Models. The loss is equivalent to a volume of ice between &sim;140 and 360&nbsp;km</span><sup>3</sup><span>, which would correspond to a global layer of 1&ndash;2.5&nbsp;mm thick. We further argue that much more ice (at least 6000&nbsp;km</span><sup>3</sup><span>) is likely preserved beneath the un-cratered regions of Arcadia Planitia since significant loss of this excess ice would have caused extensive terrain dissection and the removal of the expanded secondary craters. Both the loss of ice due to secondary crater expansion and the presence of this ice today have implications for the martian climate.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2014.10.032","usgsCitation":"Viola, D., McEwen, A.S., Dundas, C.M., and Byrne, S., 2015, Expanded secondary craters in the Arcadia Planitia region, Mars: evidence for tens of Myr-old shallow subsurface ice: Icarus, v. 248, p. 190-204, https://doi.org/10.1016/j.icarus.2014.10.032.","productDescription":"15 p.","startPage":"190","endPage":"204","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059094","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":297012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars, Arcadia Planitia Region","volume":"248","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a76e4b08de9379b307c","contributors":{"authors":[{"text":"Viola, Donna","contributorId":127526,"corporation":false,"usgs":false,"family":"Viola","given":"Donna","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":537561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":537562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":537560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":537563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70134481,"text":"ofr20141221 - 2015 - Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:24:50","indexId":"ofr20141221","displayToPublicDate":"2015-01-07T10:15:00","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":"2014-1221","title":"Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts","docAbstract":"<p><span>Sea-floor sample collection is an important component of a statewide cooperative mapping effort between the U.S. Geological Survey (USGS) and the Massachusetts Office of Coastal Zone Management (CZM). Sediment grab samples, bottom photographs, and video transects were collected within Vineyard Sound and Buzzards Bay in 2010 aboard the research vessel</span><i>Connecticut</i><span>. This report contains sample data and related information, including analyses of surficial-sediment grab samples, locations and images of sea-floor photography, survey lines along which sea-floor video was collected, and a classification of benthic biota observed in sea-floor photographs and based on the Coastal and Marine Ecological Classification Standard (CMECS). These sample data and analyses information are used to verify interpretations of geophysical data and are an essential part of geologic maps of the sea floor. These data also provide a valuable inventory of benthic habitat and resources. Geographic information system (GIS) data, maps, and interpretations, produced through the USGS and CZM mapping cooperative, are intended to aid efforts to manage coastal and marine resources and to provide baseline information for research focused on coastal evolution and environmental change.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141221","collaboration":"Prepared in cooperation with the  Massachusetts Office of Coastal Zone Management.","usgsCitation":"Ackerman, S.D., Pappal, A.L., Huntley, E.C., Blackwood, D.S., and Schwab, W.C., 2015, Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts: U.S. Geological Survey Open-File Report 2014-1221, Report: vii, 30 p.; HTML Document, https://doi.org/10.3133/ofr20141221.","productDescription":"Report: vii, 30 p.; HTML Document","numberOfPages":"38","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051767","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297011,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141221.jpg"},{"id":297009,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1221/"},{"id":297010,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1221/pdf/ofr2014-1221_report_508.pdf","text":"Report","size":"6.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297527,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1221/ofr2014-1221-title_page.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Buzzards Bay, Vineyard Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.12686157226562,\n              41.49314949080981\n            ],\n            [\n              -70.84259033203125,\n              41.33763822308113\n            ],\n            [\n              -70.49240112304688,\n              41.55792157780418\n            ],\n            [\n              -70.62835693359375,\n              41.78257704086764\n            ],\n            [\n              -71.12686157226562,\n              41.49314949080981\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a82e4b08de9379b30b1","contributors":{"authors":[{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pappal, Adrienne L.","contributorId":127623,"corporation":false,"usgs":false,"family":"Pappal","given":"Adrienne","email":"","middleInitial":"L.","affiliations":[{"id":7088,"text":"Massachusetts Coastal Zone Management","active":true,"usgs":false}],"preferred":false,"id":526009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntley, Emily C.","contributorId":127624,"corporation":false,"usgs":false,"family":"Huntley","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":7088,"text":"Massachusetts Coastal Zone Management","active":true,"usgs":false}],"preferred":false,"id":526010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526012,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70134484,"text":"ofr20141220 - 2015 - Shallow geology, sea-floor texture, and physiographic zones of Buzzards Bay, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:29:23","indexId":"ofr20141220","displayToPublicDate":"2015-01-07T10:00:00","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":"2014-1220","title":"Shallow geology, sea-floor texture, and physiographic zones of Buzzards Bay, Massachusetts","docAbstract":"<p><span>Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Buzzards Bay, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-backscatter intensity, bottom photographs, and surficial sediment samples. The interpretation of the seismic stratigraphy and mapping of glacial and Holocene marine units provided a foundation on which the surficial maps were created. This mapping is a result of a collaborative effort between the U.S. Geological Survey and the Massachusetts Office of Coastal Zone Management to characterize the surface and subsurface geologic framework offshore of Massachusetts.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141220","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management.","usgsCitation":"Foster, D.S., Baldwin, W.E., Barnhardt, W.A., Schwab, W.C., Ackerman, S.D., Andrews, B.D., Pendleton, E.A., 2016, Shallow geology, sea-floor texture, and physiographic zones of Buzzards Bay, Massachusetts (ver. 1.1, June 2016): U.S. Geological Survey Open-File Report 2014–1220, https://dx.doi.org/10.3133/ofr20141220.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056003","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297008,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141220.png","description":"OFR 2014-1220"},{"id":322124,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1220/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2014-1220"},{"id":297006,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1220"},{"id":297007,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1220/ofr2014-1220-title_page.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2014-1220"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Buzzards Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.11038208007812,\n              41.529141988723104\n            ],\n            [\n              -70.70388793945312,\n              41.7856490686444\n            ],\n            [\n              -70.56381225585938,\n              41.72315557551985\n            ],\n            [\n              -70.65170288085938,\n              41.52502957323801\n            ],\n            [\n              -70.96343994140625,\n              41.395354710280166\n            ],\n            [\n              -71.11038208007812,\n              41.529141988723104\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted January 7, 2015; Version 1.1: June 21, 2016","contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, Woods Hole Coastal and Marine Science Center<br /> U.S. Geological Survey<br /> 384 Woods Hole Road <br /> Quissett Campus<br /> Woods Hole, MA 02543<br /> <a href=\"http://woodshole.er.usgs.gov/\">http://woodshole.er.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1 – Geospatial Data</li></ul>","publishedDate":"2015-01-07","revisedDate":"2016-06-21","noUsgsAuthors":false,"publicationDate":"2015-01-07","publicationStatus":"PW","scienceBaseUri":"54dd2ab1e4b08de9379b3184","contributors":{"authors":[{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhardt, Walter A. wbarnhardt@usgs.gov","contributorId":2474,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","email":"wbarnhardt@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":2132,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pendleton, Elizabeth A. ependleton@usgs.gov","contributorId":2863,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","email":"ependleton@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526024,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160089,"text":"70160089 - 2015 - Non-stationary recruitment dynamics of rainbow smelt: the influence of environmental variables and variation in size structure and length-at-maturation","interactions":[],"lastModifiedDate":"2018-03-23T12:17:13","indexId":"70160089","displayToPublicDate":"2015-01-07T00:00:00","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":"Non-stationary recruitment dynamics of rainbow smelt: the influence of environmental variables and variation in size structure and length-at-maturation","docAbstract":"<p><span>Fish stock-recruitment dynamics may be difficult to elucidate because of nonstationary relationships resulting from shifting environmental conditions and fluctuations in important vital rates such as individual growth or maturation. The Great Lakes have experienced environmental stressors that may have changed population demographics and stock-recruitment relationships while causing the declines of several prey fish species, including rainbow smelt (</span><i>Osmerus mordax</i><span>). We investigated changes in the size and maturation of rainbow smelt in Lake Michigan and Lake Huron and recruitment dynamics of the Lake Michigan stock over the past four decades. Mean lengths and length-at-maturation of rainbow smelt generally declined over time in both lakes. To evaluate recruitment, we used both a Ricker model and a Kalman filter-random walk (KF-RW) model which incorporated nonstationarity in stock productivity by allowing the productivity term to vary over time. The KF-RW model explained nearly four times more variation in recruitment than the Ricker model, indicating the productivity of the Lake Michigan stock has increased. By accounting for this nonstationarity, we were able identify significant variations in stock productivity, evaluate its importance to rainbow smelt recruitment, and speculate on potential environmental causes for the shift. Our results suggest that investigating mechanisms driving nonstationary shifts in stock-recruit relationships can provide valuable insights into temporal variation in fish population dynamics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2014.11.029","usgsCitation":"Feiner, Z.S., Bunnell, D., Hook, T.O., Madenjian, C.P., Warner, D.M., and Collingsworth, P.D., 2015, Non-stationary recruitment dynamics of rainbow smelt: the influence of environmental variables and variation in size structure and length-at-maturation: Journal of Great Lakes Research, v. 41, no. 1, p. 246-258, https://doi.org/10.1016/j.jglr.2014.11.029.","productDescription":"13 p.","startPage":"246","endPage":"258","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054313","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70136576,"text":"70136576 - 2015 - Morphological divergence in a continental adaptive radiation: South American ovenbirds of the genus <i>Cinclodes</i>","interactions":[],"lastModifiedDate":"2017-10-24T15:15:22","indexId":"70136576","displayToPublicDate":"2015-01-05T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Morphological divergence in a continental adaptive radiation: South American ovenbirds of the genus <i>Cinclodes</i>","docAbstract":"<p><i>Cinclodes</i><span>&nbsp;is an ecologically diverse genus of South American passerine birds and represents a case of continental adaptive radiation along multiple axes. We investigated morphological diversification in&nbsp;</span><i>Cinclodes</i><span>&nbsp;using a comprehensive set of morphometric measurements of study skins. Principal component analysis identified 2 primary axes of morphological variation: one describing body size and a second capturing differences in wing-tip shape and toe length. Phylogenetic analyses of the first principal component suggest an early divergence of</span><i>Cinclodes</i><span>&nbsp;into 2 main clades characterized by large and small body sizes. We suggest that 2 morphological outliers within these main clades (</span><i><i>C. antarcticus</i></i><span>&nbsp;and&nbsp;</span><i>C. palliatus</i><span>) may be cases of island gigantism and that a third (</span><i>C. patagonicus</i><span>) may reflect ecological character displacement. Despite its ecological and physiological diversity, the genus&nbsp;</span><i>Cinclodes</i><span>&nbsp;does not appear to show morphological diversity beyond what is typical of other avian genera.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-14-49.1","usgsCitation":"Rader, J.A., Dillon, M.E., Chesser, R., Sabat, P., and Martinez del Rio, C., 2015, Morphological divergence in a continental adaptive radiation: South American ovenbirds of the genus <i>Cinclodes</i>: The Auk, v. 132, no. 1, p. 180-190, https://doi.org/10.1642/AUK-14-49.1.","productDescription":"11 p.","startPage":"180","endPage":"190","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052754","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472344,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-14-49.1","text":"Publisher Index Page"},{"id":296980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a9ae4b08de9379b3130","contributors":{"authors":[{"text":"Rader, Jonathan A.","contributorId":131178,"corporation":false,"usgs":false,"family":"Rader","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":7269,"text":"Univ. of Wyoming","active":true,"usgs":false}],"preferred":false,"id":537548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dillon, Michael E.","contributorId":131179,"corporation":false,"usgs":false,"family":"Dillon","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":7269,"text":"Univ. of Wyoming","active":true,"usgs":false}],"preferred":false,"id":537549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":537547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabat, Pablo","contributorId":131180,"corporation":false,"usgs":false,"family":"Sabat","given":"Pablo","email":"","affiliations":[{"id":7270,"text":"Univ. of Chile","active":true,"usgs":false}],"preferred":false,"id":537550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinez del Rio, Carlos","contributorId":131181,"corporation":false,"usgs":false,"family":"Martinez del Rio","given":"Carlos","affiliations":[{"id":7269,"text":"Univ. of Wyoming","active":true,"usgs":false}],"preferred":false,"id":537551,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70239258,"text":"70239258 - 2015 - A crustal structure model of the Beaufort-Mackenzie Margin, southern Canada Basin","interactions":[],"lastModifiedDate":"2023-01-05T12:58:38.495393","indexId":"70239258","displayToPublicDate":"2015-01-05T06:55:11","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A crustal structure model of the Beaufort-Mackenzie Margin, southern Canada Basin","docAbstract":"<p>Canada and the United States collaborated in geophysical survey operations in the Amerasia Basin from 2007 to 2011 using the Canadian icebreaker CCGS Louis S. St. Laurent and the US icebreaker USCGC Healy. Over 15000 km of bathymetry, sub-bottom profiles, and 16-channel seismic reflection data were acquired over the Canada Basin and Alpha Ridge. Expendable sonobuoys were deployed to collect P-wave refraction and wide angle reflection data to define the regional velocity structure of the sedimentary successions. Although the new seismic profiles tie with existing GSC multichannel seismic lines on the Beaufort Shelf, water-bottom multiples obscure direct correlation of deeper stratigraphic horizons and (at best) basement is poorly imaged.</p><p>We present a 2-D gravity and magnetic model for the southern Canada Basin margin and Beaufort-Mackenzie Basin integrating the new LSSL data with an existing deep crustal seismic reflection profile. The model crosses the slope region, where bathymetry shallows, base-of-sediments is deep, and basement is not imaged because of the water-bottom multiple. The density values used in the model are constrained by empirical relationships between velocity and density rock properties; however, magnetic susceptibility values are based on typical values for the inferred crustal lithologies. Velocity analyses of the new sonobuoy data provide constraints on the composition of the sediments, and enable quantitative mapping of continental, oceanic, and transitional domains within the Canada Basin. The 2-D gravity and magnetic forward model provides estimates for basement and Moho depths, the distribution and depths of magnetic sources, and visualization of the underlying crustal architecture controlling basin formation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"OTC Arctic Technology Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"OTC Arctic Technology Conference","conferenceDate":"March 23-25, 2015","conferenceLocation":"Copenhagen, Denmark","language":"English","publisher":"One Petro","doi":"10.4043/25470-MS","usgsCitation":"Oakey, G.N., Saltus, R., and Shimeld, J.W., 2015, A crustal structure model of the Beaufort-Mackenzie Margin, southern Canada Basin, <i>in</i> OTC Arctic Technology Conference Proceedings, Copenhagen, Denmark, March 23-25, 2015, https://doi.org/10.4043/25470-MS.","ipdsId":"IP-061942","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":411426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.5313622288357,\n              71.20442863543764\n            ],\n            [\n              -148.5313622288357,\n              62.45942351557227\n            ],\n            [\n              -129.9064593578879,\n              62.45942351557227\n            ],\n            [\n              -129.9064593578879,\n              71.20442863543764\n            ],\n            [\n              -148.5313622288357,\n              71.20442863543764\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2015-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Oakey, Gordon N.","contributorId":300609,"corporation":false,"usgs":false,"family":"Oakey","given":"Gordon","email":"","middleInitial":"N.","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":860941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saltus, Richard W. 0000-0001-6920-2936","orcid":"https://orcid.org/0000-0001-6920-2936","contributorId":207255,"corporation":false,"usgs":false,"family":"Saltus","given":"Richard W.","affiliations":[{"id":37502,"text":"NOAA-NCEI, 325 Broadway, NOAA E/GC3, Office 1B507, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":860942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shimeld, John W.","contributorId":300610,"corporation":false,"usgs":false,"family":"Shimeld","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":860943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70147433,"text":"70147433 - 2015 - Environmental contaminants and chromosomal damage associated with beak deformities in a resident North American passerine","interactions":[],"lastModifiedDate":"2018-08-09T12:43:21","indexId":"70147433","displayToPublicDate":"2015-01-05T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Environmental contaminants and chromosomal damage associated with beak deformities in a resident North American passerine","docAbstract":"<p><span>A large cluster of beak abnormalities among black-capped chickadees (</span><i>Poecile atricapillus</i><span>) in Alaska raised concern about underlying environmental factors in this region. Metals and trace elements, organochlorine pesticides, polychlorinated biphenyls (PCBs), and polychlorinated dibenzo-dioxins and polychlorinated dibenzofurans (PCDD-Fs) were analyzed in adults, nestlings, and eggs of the affected population; local bird seed was also tested for organochlorine pesticides. The results offered no support for the hypothesis that selenium or any other inorganic element was responsible for beak deformities among chickadees, but some evidence that organochlorine compounds may be contributing factors. Adults with beak deformities had an elevated level of chromosomal damage, which was correlated with lipid level and concentrations of several organochlorine compounds. Multivariate analyses of pesticides and PCBs did not distinguish abnormal from normal adults, but subsequent univariate analysis demonstrated higher concentrations of heptachlor epoxide and PCB-123 in abnormal adults. Concentrations of all organochlorine compounds were low, and none is known to cause beak or keratin abnormalities. Patterns of PCB congener concentrations differed between nestlings with normal and abnormal parents. Eggs from clutches with low hatchability had higher concentrations of hexachlorobenzene and PCDD-Fs than those with high hatching success, and hexachlorobenzene was found in seeds. Additional testing for PCDD-Fs, polycyclic aromatic hydrocarbons, and other emerging contaminants, including brominated compounds, is needed to rule out environmental contaminants as a cause of beak deformities in chickadees in Alaska.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.2799","usgsCitation":"Handel, C.M., and Van Hemert, C.R., 2015, Environmental contaminants and chromosomal damage associated with beak deformities in a resident North American passerine: Environmental Toxicology and Chemistry, v. 34, no. 2, p. 314-327, https://doi.org/10.1002/etc.2799.","productDescription":"14 p.","startPage":"314","endPage":"327","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055048","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":300015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-05","publicationStatus":"PW","scienceBaseUri":"5544a3aae4b0a658d79478b8","chorus":{"doi":"10.1002/etc.2799","url":"http://dx.doi.org/10.1002/etc.2799","publisher":"Wiley-Blackwell","authors":"Handel Colleen M., Van Hemert Caroline","journalName":"Environmental Toxicology and Chemistry","publicationDate":"1/6/2015","auditedOn":"12/19/2014"},"contributors":{"authors":[{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":545935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":545936,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70135195,"text":"70135195 - 2015 - A robust calibration technique for acoustic emission systems based on momentum transfer from a ball drop","interactions":[],"lastModifiedDate":"2016-02-10T15:18:35","indexId":"70135195","displayToPublicDate":"2015-01-02T07:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A robust calibration technique for acoustic emission systems based on momentum transfer from a ball drop","docAbstract":"<p>We describe a technique to estimate the seismic moment of acoustic emissions and other extremely small seismic events. Unlike previous calibration techniques, it does not require modeling of the wave propagation, sensor response, or signal conditioning. Rather, this technique calibrates the recording system as a whole and uses a ball impact as a reference source or empirical Green’s function. To correctly apply this technique, we develop mathematical expressions that link the seismic moment $M_{0}$ of internal seismic sources (i.e., earthquakes and acoustic emissions) to the impulse, or change in momentum $\\Delta p $, of externally applied seismic sources (i.e., meteor impacts or, in this case, ball impact). We find that, at low frequencies, moment and impulse are linked by a constant, which we call the force‐moment‐rate scale factor $C_{F\\dot{M}} = M_{0}/\\Delta p$. This constant is equal to twice the speed of sound in the material from which the seismic sources were generated. Next, we demonstrate the calibration technique on two different experimental rock mechanics facilities. The first example is a saw‐cut cylindrical granite sample that is loaded in a triaxial apparatus at 40&nbsp;MPa confining pressure. The second example is a 2&nbsp;m long fault cut in a granite sample and deformed in a large biaxial apparatus at lower stress levels. Using the empirical calibration technique, we are able to determine absolute source parameters including the seismic moment, corner frequency, stress drop, and radiated energy of these magnitude −2.5 to −7 seismic events.</p>","language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford, CA","doi":"10.1785/0120140170","usgsCitation":"McLaskey, G.C., Lockner, D.A., Kilgore, B.D., and Beeler, N.M., 2015, A robust calibration technique for acoustic emission systems based on momentum transfer from a ball drop: Bulletin of the Seismological Society of America, v. 105, no. 1, p. 257-271, https://doi.org/10.1785/0120140170.","productDescription":"15 p.","startPage":"257","endPage":"271","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060189","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":311678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"1","noUsgsAuthors":false,"publicationDate":"2015-01-13","publicationStatus":"PW","scienceBaseUri":"56559839e4b071e7ea53def2","contributors":{"authors":[{"text":"McLaskey, Gregory C. gmclaskey@usgs.gov","contributorId":4112,"corporation":false,"usgs":true,"family":"McLaskey","given":"Gregory","email":"gmclaskey@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":526932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":526931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":526933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":526934,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70141670,"text":"70141670 - 2015 - Implications of scale-independent habitat specialization on persistence of a rare small mammal","interactions":[],"lastModifiedDate":"2019-02-07T12:10:14","indexId":"70141670","displayToPublicDate":"2015-01-01T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Implications of scale-independent habitat specialization on persistence of a rare small mammal","docAbstract":"<p>We assessed the habitat use patterns of the Amargosa vole Microtus californicus scirpensis , an endangered rodent endemic to wetland vegetation along a 3.5 km stretch of the Amargosa River in the Mojave Desert, USA. Our goals were to: (1) quantify the vole&rsquo;s abundance, occupancy rates and habitat selection patterns along gradients of vegetation cover and spatial scale; (2) identify the processes that likely had the greatest influence on its habitat selection patterns. We trapped voles monthly in six 1 ha grids from January to May 2012 and measured habitat structure at subgrid (View the MathML source225m2) and trap (View the MathML source1m2) scales in winter and spring seasons. Regardless of scale, analyses of density, occupancy and vegetation structure consistently indicated that voles occurred in patches of bulrush (Schoenoplectus americanus ; Cyperaceae) where cover &gt;50%. The majority of evidence indicates the vole's habitat selectivity is likely driven by bulrush providing protection from intense predation. However, a combination of selective habitat use and limited movement resulted in a high proportion of apparently suitable bulrush patches being unoccupied. This suggests the Amargosa vole's habitat selection behavior confers individual benefits but may not allow the overall population to persist in a changing environment.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.gecco.2014.10.003","usgsCitation":"Cleaver, M., Klinger, R.C., Anderson, S., Maier, P.A., and Clark, J., 2015, Implications of scale-independent habitat specialization on persistence of a rare small mammal: Global Ecology and Conservation, v. 3, p. 100-114, https://doi.org/10.1016/j.gecco.2014.10.003.","productDescription":"15 p.","startPage":"100","endPage":"114","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051481","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2014.10.003","text":"Publisher Index Page"},{"id":298648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55095030e4b02e76d757e620","contributors":{"authors":[{"text":"Cleaver, Michael","contributorId":139379,"corporation":false,"usgs":false,"family":"Cleaver","given":"Michael","email":"","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":540962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Steven","contributorId":80589,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"","affiliations":[],"preferred":false,"id":540963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maier, Paul A. 0000-0003-0851-8827 pmaier@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8827","contributorId":5467,"corporation":false,"usgs":true,"family":"Maier","given":"Paul","email":"pmaier@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Jonathan","contributorId":139380,"corporation":false,"usgs":false,"family":"Clark","given":"Jonathan","email":"","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":540964,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70146793,"text":"70146793 - 2015 - Stomach contents of a Cuvier's Beaked Whale (<i>Ziphius cavirostris</i>) stranded in Monterey Bay, California","interactions":[],"lastModifiedDate":"2015-04-21T15:35:04","indexId":"70146793","displayToPublicDate":"2015-01-01T16:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Stomach contents of a Cuvier's Beaked Whale (<i>Ziphius cavirostris</i>) stranded in Monterey Bay, California","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for Northwestern Vertebrate Biology","publisherLocation":"Olympia, WA","doi":"10.1898/NWN14-10.1","usgsCitation":"Adams, J., Walker, W.A., Burton, E.J., and Harvey, J.T., 2015, Stomach contents of a Cuvier's Beaked Whale (<i>Ziphius cavirostris</i>) stranded in Monterey Bay, California: Northwestern Naturalist, v. 96, no. 1, p. 93-98, https://doi.org/10.1898/NWN14-10.1.","productDescription":"6 p.","startPage":"93","endPage":"98","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056362","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":299812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.21466064453125,\n              36.48976535146369\n            ],\n            [\n              -122.21466064453125,\n              36.98939086733937\n            ],\n            [\n              -121.77246093750001,\n              36.98939086733937\n            ],\n            [\n              -121.77246093750001,\n              36.48976535146369\n            ],\n            [\n              -122.21466064453125,\n              36.48976535146369\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"96","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"553774b2e4b0b22a15808518","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, William A","contributorId":140360,"corporation":false,"usgs":false,"family":"Walker","given":"William","email":"","middleInitial":"A","affiliations":[{"id":13471,"text":"NMML","active":true,"usgs":false}],"preferred":false,"id":545357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Erica J","contributorId":140361,"corporation":false,"usgs":false,"family":"Burton","given":"Erica","email":"","middleInitial":"J","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":545358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, James T.","contributorId":89817,"corporation":false,"usgs":false,"family":"Harvey","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":6751,"text":"Moss Landing Marine Laboratories","active":true,"usgs":false}],"preferred":false,"id":545359,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70143081,"text":"70143081 - 2015 - Prevalence and spatio-temporal variation of an alopecia syndrome in polar bears (Ursus maritimus) of the southern Beaufort Sea","interactions":[],"lastModifiedDate":"2020-05-20T15:33:42.68495","indexId":"70143081","displayToPublicDate":"2015-01-01T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Prevalence and spatio-temporal variation of an alopecia syndrome in polar bears (<i>Ursus maritimus</i>) of the southern Beaufort Sea","title":"Prevalence and spatio-temporal variation of an alopecia syndrome in polar bears (Ursus maritimus) of the southern Beaufort Sea","docAbstract":"<p><span>Alopecia (hair loss) has been observed in several marine mammal species and has potential energetic consequences for sustaining a normal core body temperature, especially for Arctic marine mammals routinely exposed to harsh environmental conditions. Polar bears (</span><i>Ursus maritimus</i><span>) rely on a thick layer of adipose tissue and a dense pelage to ameliorate convective heat loss while moving between sea ice and open water. From 1998 to 2012, we observed an alopecia syndrome in polar bears from the southern Beaufort Sea of Alaska that presented as bilaterally asymmetrical loss of guard hairs and thinning of the undercoat around the head, neck, and shoulders, which, in severe cases, was accompanied by exudation and crusted skin lesions. Alopecia was observed in 49 (3.45%) of the bears sampled during 1,421 captures, and the apparent prevalence varied by years with peaks occurring in 1999 (16%) and 2012 (28%). The probability that a bear had alopecia was greatest for subadults and for bears captured in the Prudhoe Bay region, and alopecic individuals had a lower body condition score than unaffected individuals. The cause of the syndrome remains unknown and future work should focus on identifying the causative agent and potential effects on population vital rates.</span></p>","language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Lawrence, KS","doi":"10.7589/2013-11-301","usgsCitation":"Atwood, T.C., Peacock, E.L., Burek, K., Shearn-Bochsler, V.I., Bodenstein, B.L., Beckmen, K.B., and Durner, G.M., 2015, Prevalence and spatio-temporal variation of an alopecia syndrome in polar bears (Ursus maritimus) of the southern Beaufort Sea: Journal of Wildlife Diseases, v. 51, no. 1, p. 48-59, https://doi.org/10.7589/2013-11-301.","productDescription":"12 p.","startPage":"48","endPage":"59","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055759","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":298643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.193359375,\n              68.87935761076949\n            ],\n            [\n              -125.68359374999999,\n              68.87935761076949\n            ],\n            [\n              -125.68359374999999,\n              73.50346063726599\n            ],\n            [\n              -153.193359375,\n              73.50346063726599\n            ],\n            [\n              -153.193359375,\n              68.87935761076949\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55095032e4b02e76d757e630","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":542468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":542531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burek, K.A.","contributorId":82937,"corporation":false,"usgs":true,"family":"Burek","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":542532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":542533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":4389,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":542534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beckmen, Kimberlee B.","contributorId":12770,"corporation":false,"usgs":true,"family":"Beckmen","given":"Kimberlee","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":542535,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":542536,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70199526,"text":"70199526 - 2015 - Robust and resistant semivariogram modelling using a generalized bootstrap","interactions":[],"lastModifiedDate":"2018-09-20T15:45:48","indexId":"70199526","displayToPublicDate":"2015-01-01T15:45:41","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5750,"text":"Journal of the Southern African Institute of Mining and Metallurgy","active":true,"publicationSubtype":{"id":10}},"title":"Robust and resistant semivariogram modelling using a generalized bootstrap","docAbstract":"<p>The bootstrap is a computer-intensive resampling method for estimating<br>the uncertainty of complex statistical models. We expand on an<br>application of the bootstrap for inferring semivariogram parameters and<br>their uncertainty. The model fitted to the median of the bootstrap distribution<br>of the experimental semivariogram is proposed as an estimator of<br>the semivariogram. The proposed application is not restricted to normal<br>data and the estimator is resistant to outliers. Improvements are more<br>significant for data-sets with less than 100 observations, which are<br>those for which semivariogram model inference is the most difficult. The<br>application is illustrated by using it to characterize a synthetic random<br>field for which the true semivariogram type and parameters are known.</p>","language":"English","publisher":"Southern African Institute of Mining and Metallurgy (SAIMM)","usgsCitation":"Olea, R., Pardo-Iguzquiza, E., and Dowd, P.A., 2015, Robust and resistant semivariogram modelling using a generalized bootstrap: Journal of the Southern African Institute of Mining and Metallurgy, v. 115, no. 1, p. 37-44.","productDescription":"8 p.","startPage":"37","endPage":"44","ipdsId":"IP-053060","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357547,"type":{"id":15,"text":"Index Page"},"url":"https://www.saimm.co.za/publications/journal-papers"}],"volume":"115","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03646e4b0fc368eb53abe","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":26436,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":745762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardo-Iguzquiza, E.","contributorId":34345,"corporation":false,"usgs":true,"family":"Pardo-Iguzquiza","given":"E.","affiliations":[],"preferred":false,"id":745763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dowd, P. A.","contributorId":208036,"corporation":false,"usgs":false,"family":"Dowd","given":"P.","email":"","middleInitial":"A.","affiliations":[{"id":37682,"text":"Faculty of Engineering, Computer and Mathematical Sciences, University of Adelaide","active":true,"usgs":false}],"preferred":false,"id":745764,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70143866,"text":"70143866 - 2015 - Density dependence and phenological mismatch: consequences for growth and survival of sub-arctic nesting Canada Geese","interactions":[],"lastModifiedDate":"2015-03-23T14:40:23","indexId":"70143866","displayToPublicDate":"2015-01-01T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Density dependence and phenological mismatch: consequences for growth and survival of sub-arctic nesting Canada Geese","docAbstract":"<p>The extent to which species are plastic in the timing of their reproductive events relative to phenology suggests how change might affect their demography. An ecological mismatch between the timing of hatch for avian species and the peak availability in quality and quantity of forage for rapidly growing offspring might ultimately affect recruitment to the breeding population unless individuals can adjust the timing of breeding to adapt to changing phenology. We evaluated effects of goose density, hatch timing relative to forage plant phenology, and weather indices on annual growth of pre-fledging Canada geese (Branta canadensis) from 1993-2010 at Akimiski Island, Nunavut. We found effects of both density and hatch timing relative to forage plant phenology; the earlier that eggs hatched relative to forage plant phenology, the larger the mean gosling size near fledging. Goslings were smallest in years when hatch was latest relative to forage plant phenology, and when local abundance of breeding adults was highest. We found no evidence for a trend in relative hatch timing, but it was apparent that in early springs, Canada geese tended to hatch later relative to vegetation phenology, suggesting that geese were not always able to adjust the timing of nesting as rapidly as vegetation phenology was advanced. Analyses using forage biomass information revealed a positive relationship between gosling size and per capita biomass availability, suggesting a causal mechanism for the density effect. The effects of weather parameters explained additional variation in mean annual gosling size, although total June and July rainfall had a small additive effect on gosling size. Modelling of annual first year survival probability using mean annual gosling size as an annual covariate revealed a positive relationship, suggesting that reduced gosling growth negatively impacts recruitment.</p>","language":"English","publisher":"Society of Canadian Ornithologists","publisherLocation":"Waterloo, ON","doi":"10.5751/ACE-00708-100101","usgsCitation":"Brook, R.W., Leafloor, J.O., Douglas, D.C., and Abraham, K., 2015, Density dependence and phenological mismatch: consequences for growth and survival of sub-arctic nesting Canada Geese: Avian Conservation and Ecology, v. 10, no. 1, p. 1-15, https://doi.org/10.5751/ACE-00708-100101.","productDescription":"15 p.","startPage":"1","endPage":"15","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056605","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":472346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-00708-100101","text":"Publisher Index Page"},{"id":298873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55113941e4b02e76d75b50d5","contributors":{"authors":[{"text":"Brook, Rodney W.","contributorId":92083,"corporation":false,"usgs":false,"family":"Brook","given":"Rodney","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":543074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leafloor, James O.","contributorId":111512,"corporation":false,"usgs":true,"family":"Leafloor","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":543075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":543059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abraham, Kenneth F.","contributorId":32215,"corporation":false,"usgs":true,"family":"Abraham","given":"Kenneth F.","affiliations":[],"preferred":false,"id":543076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70143865,"text":"70143865 - 2015 - Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming","interactions":[],"lastModifiedDate":"2018-01-04T12:02:28","indexId":"70143865","displayToPublicDate":"2015-01-01T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming","docAbstract":"<p>Although climate models forecast warmer temperatures with a high degree of certainty, precipitation is the primary driver of aboveground net primary production (ANPP) in most grasslands. Conversely, variations in temperature seldom are related to patterns of ANPP. Thus forecasting responses to warming is a challenge, and raises the question: how sensitive will grassland ANPP be to warming? We evaluated climate and multi-year ANPP data (67 years) from eight western US grasslands arrayed along mean annual temperature (MAT; ~7-14 &deg;C) and mean annual precipitation (MAP; ~250-500 mm) gradients. Weused regression and analysis of covariance to assess relationships between ANPP and temperature, as well as precipitation (annual and growing season) to evaluate temperature sensitivity of ANPP. We also related ANPP to the standardized precipitation evaporation index (SPEI), which combines precipitation and evapotranspiration to better represent moisture available for plant growth. Regression models indicated that variation in growing season temperature was negatively related to total and graminoid ANPP, but precipitation was a stronger predictor than temperature. Growing season temperature was also a significant parameter in more complex models, but again precipitation was consistently a stronger predictor of ANPP. Surprisingly, neither annual nor growing season SPEI were as strongly related to ANPP as precipitation. We conclude that forecasted warming likely will affect ANPP in these grasslands, but that predicting temperature effects from natural climatic gradients is difficult. This is because, unlike precipitation, warming effects can be positive or negative and moderated by shifts in the C3/C4 ratios of plant communities.</p>","language":"English","publisher":"Springer-Verlag","publisherLocation":"Berlin","doi":"10.1007/s00442-015-3232-7","usgsCitation":"Mowll, W., Blumenthal, D.M., Cherwin, K., Smith, A., Symstad, A., Vermeire, L., Collins, S., Smith, M., and Knapp, A., 2015, Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming: Oecologia, v. 177, no. 4, p. 959-969, https://doi.org/10.1007/s00442-015-3232-7.","productDescription":"11 p.","startPage":"959","endPage":"969","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056620","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":298874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298867,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s00442-015-3232-7"}],"volume":"177","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-12","publicationStatus":"PW","scienceBaseUri":"5511393fe4b02e76d75b50d0","contributors":{"authors":[{"text":"Mowll, Whitney","contributorId":139803,"corporation":false,"usgs":false,"family":"Mowll","given":"Whitney","email":"","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":543051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blumenthal, Dana M.","contributorId":83411,"corporation":false,"usgs":true,"family":"Blumenthal","given":"Dana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":543054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherwin, Karie","contributorId":139804,"corporation":false,"usgs":false,"family":"Cherwin","given":"Karie","email":"","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":543052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Anine","contributorId":139805,"corporation":false,"usgs":false,"family":"Smith","given":"Anine","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":543055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":2611,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":543050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vermeire, Lance","contributorId":139806,"corporation":false,"usgs":false,"family":"Vermeire","given":"Lance","affiliations":[{"id":13278,"text":"USDA-ARS Fort Keogh LARRL. 243 Fort Keogh Road, Miles City, MT","active":true,"usgs":false}],"preferred":false,"id":543056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collins, Scott L.","contributorId":71307,"corporation":false,"usgs":false,"family":"Collins","given":"Scott L.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":543053,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Melinda D.","contributorId":94028,"corporation":false,"usgs":true,"family":"Smith","given":"Melinda D.","affiliations":[],"preferred":false,"id":543057,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Knapp, Alan K.","contributorId":139807,"corporation":false,"usgs":false,"family":"Knapp","given":"Alan K.","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":543058,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70137874,"text":"70137874 - 2015 - Sequential decision making in computational sustainability via adaptive submodularity","interactions":[],"lastModifiedDate":"2017-08-24T09:40:00","indexId":"70137874","displayToPublicDate":"2015-01-01T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3854,"text":"AI Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Sequential decision making in computational sustainability via adaptive submodularity","docAbstract":"<p>Many problems in computational sustainability require making a sequence of decisions in complex, uncertain environments. Such problems are generally notoriously difficult. In this article, we review the recently discovered notion of adaptive submodularity, an intuitive diminishing returns condition that generalizes the classical notion of submodular set functions to sequential decision problems. Problems exhibiting the adaptive submodularity property can be efficiently and provably near-optimally solved using simple myopic policies. We illustrate this concept in several case studies of interest in computational sustainability: First, we demonstrate how it can be used to efficiently plan for resolving uncertainty in adaptive management scenarios. Secondly, we show how it applies to dynamic conservation planning for protecting endangered species, a case study carried out in collaboration with the US Geological Survey and the US Fish and Wildlife Service.</p>","language":"English","publisher":"American Association for Artificial Intelligence","publisherLocation":"La Canada, CA","doi":"10.1609/aimag.v35i2.2526","usgsCitation":"Krause, A., Golovin, D., and Converse, S.J., 2015, Sequential decision making in computational sustainability via adaptive submodularity: AI Magazine, v. 35, no. 2, p. 8-18, https://doi.org/10.1609/aimag.v35i2.2526.","productDescription":"11 p.","startPage":"8","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062426","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1609/aimag.v35i2.2526","text":"Publisher Index Page"},{"id":298641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55095033e4b02e76d757e634","contributors":{"authors":[{"text":"Krause, Andreas","contributorId":138662,"corporation":false,"usgs":false,"family":"Krause","given":"Andreas","email":"","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":538265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golovin, Daniel","contributorId":138663,"corporation":false,"usgs":false,"family":"Golovin","given":"Daniel","email":"","affiliations":[{"id":12484,"text":"Google","active":true,"usgs":false}],"preferred":false,"id":538266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":538264,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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