As ancestral biodiversity responded dynamically to late-Quaternary climate changes, so are extant organisms responding to the warming trajectory of the Anthropocene. Ecological predictive modeling, statistical hypothesis tests, and genetic signatures of demographic change can provide a powerful integrated toolset for investigating these biodiversity responses to climate change, and relative resiliency across different communities. Within the biotic province of Beringia, we analyzed specimen localities and DNA sequences from 28 mammal species associated with boreal forest and Arctic tundra biomes to assess both historical distributional and evolutionary responses and then forecasted future changes based on statistical assessments of past and present trajectories, and quantified distributional and demographic changes in relation to major management regions within the study area. We addressed three sets of hypotheses associated with aspects of methodological, biological, and socio-political importance by asking (1) what is the consistency among implications of predicted changes based on the results of both ecological and evolutionary analyses; (2) what are the ecological and evolutionary implications of climate change considering either total regional diversity or distinct communities associated with major biomes; and (3) are there differences in management implications across regions? Our results indicate increasing Arctic richness through time that highlights a potential state shift across the Arctic landscape. However, within distinct ecological communities, we found a predicted decline in the range and effective population size of tundra species into several discrete refugial areas. Consistency in results based on a combination of both ecological and evolutionary approaches demonstrates increased statistical confidence by applying cross-discipline comparative analyses to conservation of biodiversity, particularly considering variable management regimes that seek to balance sustainable ecosystems with other anthropogenic values. Refugial areas for cold-adapted taxa appear to be persistent across both warm and cold climate phases and although fragmented, constitute vital regions for persistence of Arctic mammals.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES15-00104.1","usgsCitation":"Hope, A.G., Waltari, E., Malaney, J.L., Payer, D.C., Cook, J., and Talbot, S.L., 2015, Arctic biodiversity: Increasing richness accompanies shrinking refugia for a cold-associated tundra fauna: Ecosphere, v. 6, no. 9, p. 1-67, https://doi.org/10.1890/ES15-00104.1.","productDescription":"67 p.","startPage":"1","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056204","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es15-00104.1","text":"Publisher Index Page"},{"id":319203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-28","publicationStatus":"PW","scienceBaseUri":"56f3be2ce4b0f59b85e02da3","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":623251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waltari, Eric","contributorId":105946,"corporation":false,"usgs":false,"family":"Waltari","given":"Eric","affiliations":[],"preferred":false,"id":623284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malaney, Jason L.","contributorId":140462,"corporation":false,"usgs":false,"family":"Malaney","given":"Jason","email":"","middleInitial":"L.","affiliations":[{"id":13048,"text":"Department of Natural Resources and Environmental Science, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":623285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Payer, David C.","contributorId":7495,"corporation":false,"usgs":false,"family":"Payer","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":623286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, J.A.","contributorId":60868,"corporation":false,"usgs":true,"family":"Cook","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":623287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":623252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168355,"text":"70168355 - 2015 - Effects of gill-net trauma, barotrauma, and deep release on postrelease mortality of Lake Trout","interactions":[],"lastModifiedDate":"2016-06-30T09:43:33","indexId":"70168355","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of gill-net trauma, barotrauma, and deep release on postrelease mortality of Lake Trout","docAbstract":"Unaccounted postrelease mortality violates assumptions of many fisheries studies, thereby biasing parameter estimates and reducing efficiency. We evaluated effects of gill-net trauma, barotrauma, and deep-release treatment on postrelease mortality of lake trout Salvelinus namaycush. Lake trout were captured at depths up to 65 m with gill nets in Priest Lake, Idaho, and held in a large enclosure for 10–12 d. Postrelease mortality was the same for surface-release–and deep-release–treated fish (41%). Mixed-effects logistic regression models were used to evaluate effects of intrinsic and environmental factors on the probability of mortality. Presence of gill-net trauma and degree of barotrauma were associated with increased probability of postrelease mortality. Smaller fish were also more likely to suffer postrelease mortality. On average, deep-release treatment did not reduce postrelease mortality, but effectiveness of treatment increased with fish length. Of the environmental factors evaluated, only elapsed time between lifting the first and last anchors of a gill-net gang (i.e., lift time) was significantly related to postrelease mortality. Longer lift times, which may allow ascending lake trout to acclimate to depressurization, were associated with lower postrelease mortality rates. Our study suggests that postrelease mortality may be higher than previously assumed for lake trout because mortality continues after 48 h. In future studies, postrelease mortality could be reduced by increasing gill-net lift times and increasing mesh size used to increase length of fish captured.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/122014-JFWM-096","usgsCitation":"Ng, E.L., Fredericks, J.P., and Quist, M., 2015, Effects of gill-net trauma, barotrauma, and deep release on postrelease mortality of Lake Trout: Journal of Fish and Wildlife Management, v. 6, no. 2, p. 265-277, https://doi.org/10.3996/122014-JFWM-096.","productDescription":"13 p.","startPage":"265","endPage":"277","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059984","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/122014-jfwm-096","text":"Publisher Index Page"},{"id":324666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Priest Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.93161010742188,\n 48.473376498523656\n ],\n [\n -116.93161010742188,\n 48.748945343432936\n ],\n [\n -116.81625366210938,\n 48.748945343432936\n ],\n [\n -116.81625366210938,\n 48.473376498523656\n ],\n [\n -116.93161010742188,\n 48.473376498523656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-01","publicationStatus":"PW","scienceBaseUri":"577642afe4b07dd077c873fa","contributors":{"authors":[{"text":"Ng, Elizabeth L.","contributorId":166901,"corporation":false,"usgs":false,"family":"Ng","given":"Elizabeth","email":"","middleInitial":"L.","affiliations":[{"id":13247,"text":"University of Idaho, Fish and Wildlife Sciences","active":true,"usgs":false}],"preferred":false,"id":620730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredericks, Jim P.","contributorId":166902,"corporation":false,"usgs":false,"family":"Fredericks","given":"Jim","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":620731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":166707,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","email":"mquist@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":619795,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70162211,"text":"70162211 - 2015 - Factors affecting defensive strike behavior in Brown Treesnakes (Boiga irregularis) provoked by humans","interactions":[],"lastModifiedDate":"2016-01-20T13:54:44","indexId":"70162211","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting defensive strike behavior in Brown Treesnakes (Boiga irregularis) provoked by humans","docAbstract":"Striking is a typical antipredator defense exhibited by many species of snakes. While trapping Brown Treesnakes (Boiga irregularis) on Guam, we observed that snakes most frequently struck at an approaching person at a site where snakes had been trapped, marked, and handled in the past. Using a combination of between-sites and within-site comparisons, we assessed if the propensity to strike was correlated with capture histories (both recent and long-term), snake size, body condition (a proxy to nutritional stress), sex, or tail condition (broken or intact), while controlling for confounding variables. We confirmed that propensity to strike was higher at the site where we had been conducting capture-mark-recapture for several years. However, we were unable to demonstrate a correlation between striking tendencies and individual recent or long-term capture histories. The only morphological covariate that had an effect on strike propensity was sex, with females striking more often than males. After removing the site effect from our model, we found that snakes missing parts of their tails were more likely to strike than snakes with intact tails. We have yet to identify the factor(s) that cause the pronounced difference across sites in snake propensity to strike, and data from additional sites might help elucidate any geographical patterns.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Spencer, M.M., Lardner, B., Mazurek, M., and Reed, R., 2015, Factors affecting defensive strike behavior in Brown Treesnakes (Boiga irregularis) provoked by humans: Herpetological Conservation and Biology, v. 10, no. 2, p. 703-710.","productDescription":"8 p.","startPage":"703","endPage":"710","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057633","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":314539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":314439,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol10_issue2.html"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a0bdc8e4b0961cf280dc1c","contributors":{"authors":[{"text":"Spencer, McKayka M.","contributorId":152307,"corporation":false,"usgs":false,"family":"Spencer","given":"McKayka","email":"","middleInitial":"M.","affiliations":[{"id":18904,"text":"Cherokee Services Group, Brown Treesnake Project, Dededo, GU 96912","active":true,"usgs":false}],"preferred":false,"id":588867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lardner, Bjorn lardnerb@usgs.gov","contributorId":5546,"corporation":false,"usgs":true,"family":"Lardner","given":"Bjorn","email":"lardnerb@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":588868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazurek, M.J.","contributorId":25066,"corporation":false,"usgs":true,"family":"Mazurek","given":"M.J.","affiliations":[],"preferred":false,"id":588869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":1686,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":588866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160331,"text":"70160331 - 2015 - Applied groundwater modeling, 2nd Edition","interactions":[],"lastModifiedDate":"2016-11-28T09:30:57","indexId":"70160331","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Applied groundwater modeling, 2nd Edition","docAbstract":"This second edition is extensively revised throughout with expanded discussion of modeling fundamentals and coverage of advances in model calibration and uncertainty analysis that are revolutionizing the science of groundwater modeling. The text is intended for undergraduate and graduate level courses in applied groundwater modeling and as a comprehensive reference for environmental consultants and scientists/engineers in industry and governmental agencies.
","language":"English","publisher":"Academic Press","usgsCitation":"Anderson, M.P., Woessner, W.W., and Hunt, R.J., 2015, Applied groundwater modeling, 2nd Edition (2), 630 p.","productDescription":"630 p.","ipdsId":"IP-060640","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":331232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312456,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/applied-groundwater-modeling/978-0-08-091638-5"}],"edition":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583d5034e4b0d9329c80c5a1","contributors":{"authors":[{"text":"Anderson, Mary P.","contributorId":30704,"corporation":false,"usgs":false,"family":"Anderson","given":"Mary","email":"","middleInitial":"P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":582581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woessner, William W.","contributorId":147877,"corporation":false,"usgs":false,"family":"Woessner","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":16951,"text":"Department of Geosciences, University of Montana, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":582582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582580,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160156,"text":"70160156 - 2015 - GOES-derived fog and low cloud indices for coastal north and central California ecological analyses","interactions":[],"lastModifiedDate":"2016-06-17T11:21:37","indexId":"70160156","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"GOES-derived fog and low cloud indices for coastal north and central California ecological analyses","docAbstract":"Fog and low cloud cover (FLCC) changes the water, energy, and nutrient flux of coastal ecosystems. Easy-to-use FLCC data are needed to quantify the impacts of FLC on ecosystem dynamics during hot, dry Mediterranean climate summers. FLCC indices were generated from 26,000 hourly night and day FLCC maps derived from Geostationary Environmental Operational Satellite (GOES) data for June, July, August, and September, 1999- 2009 for coastal California, latitude 34.50°N, south of Monterey Bay, to latitude 41.95°N, north of Crescent City. Monthly FLCC average hours per day (h/d) range from < 2 to 18. Average FLCC over the ocean increases from north (9 h/d) to south (14 h/d) whereas FLCC over land is reversed. Over land, FLCC is highest where land juts into the prevailing NW winds and is lowest in the lee of major capes. FLCC advects furthest inland through low-lying NW ocean-facing valleys. At night hours of FLCC is higher more frequently on land than over the ocean. Interannual FLCC coefficient of variation shows long term geographic stability strongly associated with landform position. Contours delineating homogeneous zones of FLCC, derived from average decadal h/d FLCC, provide data to refine the commonly used term ‘fog belt.’ FLCC indices are available for download from the California Landscape Conservation Cooperative Climate Commons website. FLCC indices can be used to improve analyses of biogeographic and bioclimatic species distribution models, meteorological mechanisms driving FLCC patterns, ecohydrological investigations of evapotranspiration, solar energy feasibility studies, agricultural irrigation demand and viticultural ripening models.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Hoboken, NJ","doi":"10.1002/2015EA000119","usgsCitation":"Torregrosa, A.A., Combs, C., and Peters, J., 2015, GOES-derived fog and low cloud indices for coastal north and central California ecological analyses: Earth and Space Science, v. 3, no. 2, p. 46-67, https://doi.org/10.1002/2015EA000119.","productDescription":"22 p.","startPage":"46","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059929","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015ea000119","text":"Publisher Index Page"},{"id":323876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-04","publicationStatus":"PW","scienceBaseUri":"57651f34e4b07657d19c78a1","contributors":{"authors":[{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":582024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Combs, Cindy","contributorId":150538,"corporation":false,"usgs":false,"family":"Combs","given":"Cindy","email":"","affiliations":[{"id":18046,"text":"2Cooperative Institute for Research in the Atmosphere; Colorado State University, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":582025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Jeff 0000-0003-4312-0590 jpeters@usgs.gov","orcid":"https://orcid.org/0000-0003-4312-0590","contributorId":4711,"corporation":false,"usgs":true,"family":"Peters","given":"Jeff","email":"jpeters@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":582026,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157451,"text":"70157451 - 2015 - Double point source W-phase inversion: Real-time implementation and automated model selection","interactions":[],"lastModifiedDate":"2016-06-28T16:31:56","indexId":"70157451","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3071,"text":"Physics of the Earth and Planetary Interiors","active":true,"publicationSubtype":{"id":10}},"title":"Double point source W-phase inversion: Real-time implementation and automated model selection","docAbstract":"Rapid and accurate characterization of an earthquake source is an extremely important and ever evolving field of research. Within this field, source inversion of the W-phase has recently been shown to be an effective technique, which can be efficiently implemented in real-time. An extension to the W-phase source inversion is presented in which two point sources are derived to better characterize complex earthquakes. A single source inversion followed by a double point source inversion with centroid locations fixed at the single source solution location can be efficiently run as part of earthquake monitoring network operational procedures. In order to determine the most appropriate solution, i.e., whether an earthquake is most appropriately described by a single source or a double source, an Akaike information criterion (AIC) test is performed. Analyses of all earthquakes of magnitude 7.5 and greater occurring since January 2000 were performed with extended analyses of the September 29, 2009 magnitude 8.1 Samoa earthquake and the April 19, 2014 magnitude 7.5 Papua New Guinea earthquake. The AIC test is shown to be able to accurately select the most appropriate model and the selected W-phase inversion is shown to yield reliable solutions that match published analyses of the same events.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.pepi.2015.09.005","usgsCitation":"Nealy, J., and Hayes, G.P., 2015, Double point source W-phase inversion: Real-time implementation and automated model selection: Physics of the Earth and Planetary Interiors, v. 249, p. 68-81, https://doi.org/10.1016/j.pepi.2015.09.005.","productDescription":"14 p.","startPage":"68","endPage":"81","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069335","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"249","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739faee4b07657d1a90cbb","contributors":{"authors":[{"text":"Nealy, Jennifer 0000-0002-6743-2487 jnealy@usgs.gov","orcid":"https://orcid.org/0000-0002-6743-2487","contributorId":147559,"corporation":false,"usgs":true,"family":"Nealy","given":"Jennifer","email":"jnealy@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":573207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":573208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159614,"text":"70159614 - 2015 - Mercury concentrations of bluegill (Lepomis macrochirus) vary by sex","interactions":[],"lastModifiedDate":"2018-08-10T09:55:39","indexId":"70159614","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mercury concentrations of bluegill (Lepomis macrochirus) vary by sex","title":"Mercury concentrations of bluegill (Lepomis macrochirus) vary by sex","docAbstract":"Patterns in relative differences in contaminant concentrations between the sexes across many species of fish may reveal clues for important behavioral and physiological differences between the sexes, and may also be useful in developing fish consumption advisories and efficient designs for programs meant to monitor contaminant levels in fish. We determined skin-off fillet and whole-fish total mercury (Hg) concentrations of 28 adult female and 26 adult male bluegills (Lepomis macrochirus) from Squaw Lake, Oakland County, Michigan (MI), USA. Bioenergetics modeling was used to quantify the effect of growth dilution on the difference in Hg concentrations between the sexes. On average, skin-off fillet and whole-fish Hg concentrations were 25.4% higher and 26.6% higher, respectively, in females compared with males. Thus, the relative difference in Hg concentrations between the sexes for skin-off fillets was nearly identical to that for whole fish. However, mean skin-off fillet Hg concentration (363 ng/g) was 2.3 times greater than mean whole-fish Hg concentration (155 ng/g). Males grew substantially faster than females, and bioenergetics modeling results indicated that the growth dilution effect could account for females having 14.4% higher Hg concentrations than males. Our findings should be useful in revising fish consumption advisories.
","language":"English","publisher":"Faculty of Environmental Studies, University of Waterloo","publisherLocation":"Waterloo, Ontario","doi":"10.3390/environments2040546","usgsCitation":"Madenjian, C.P., Francis, J.T., Braunscheidel, J.J., Bohr, J.R., Geiger, M.J., and Knottnerus, G.M., 2015, Mercury concentrations of bluegill (Lepomis macrochirus) vary by sex: Environments, v. 2, no. 4, p. 546-564, https://doi.org/10.3390/environments2040546.","productDescription":"19 p.","startPage":"546","endPage":"564","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068776","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":471524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/environments2040546","text":"Publisher Index Page"},{"id":323873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-11","publicationStatus":"PW","scienceBaseUri":"57651f37e4b07657d19c78ce","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X 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":579720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Francis, James T.","contributorId":81826,"corporation":false,"usgs":true,"family":"Francis","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":579721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braunscheidel, Jeffrey J.","contributorId":149834,"corporation":false,"usgs":false,"family":"Braunscheidel","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[{"id":7024,"text":"Michigan Department of Natural Resources, Fisheries Research Station","active":true,"usgs":false}],"preferred":false,"id":579722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohr, Joseph R.","contributorId":149835,"corporation":false,"usgs":false,"family":"Bohr","given":"Joseph","email":"","middleInitial":"R.","affiliations":[{"id":17835,"text":"Michigan Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":579723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geiger, Matthew J.","contributorId":149836,"corporation":false,"usgs":false,"family":"Geiger","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":17836,"text":"Michigan Department of Health and Human Services","active":true,"usgs":false}],"preferred":false,"id":579724,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knottnerus, G. 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This guide describes a three-day excursion to examine karst development in various carbonate rocks by following Interstate 70 west from Baltimore across the eastern Piedmont, across the Frederick Valley, and into the Great Valley proper. The localities were chosen in order to examine the structural and lithological controls on karst feature development in marble, limestone, and dolostone rocks with an eye toward the implications for ancient landscape evolution, as well as for modern subsidence hazards. A number of caves will be visited, including two commercial caverns that reveal strikingly different histories of speleogenesis. Links between karst landscape development, hydrologic dynamics, and water resource sustainability will also be emphasized through visits to locally important springs. Recent work on quantitative dye tracing, spring water geochemistry, and groundwater modeling reveal the interaction between shallow and deep circulation of groundwater that has given rise to the modern karst landscape. Geologic and karst feature mapping conducted with the benefit of lidar data help reveal the strong bedrock structural controls on karst feature development, and illustrate the utility of geologic maps for assessment of sinkhole susceptibility.
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In situ mapping of the petrographic, elemental, structural, and stratigraphic characteristics of outcrops and rocks distinguishes four mappable bedrock lithologic units. Three of these rock units predate the surrounding Burns formation sulfate-rich sandstones and one, the Matijevic Formation, represents conditions on early Mars predating the formation of Endeavour Crater. The stratigraphy assembled from these observations includes several geologic unconformities. The differences in lithologic units across these unconformities record changes in the character and intensity of the Martian aqueous environment over geologic time. Water circulated through fractures in the oldest rocks over periods long enough that texturally and elementally significant alteration occurred in fracture walls. These oldest pre-Endeavour rocks and their network of mineralized and altered fractures were preserved by burial beneath impact ejecta and were subsequently exhumed and exposed. The alteration along joints in the oldest rocks and the mineralized veins and concentrations of trace metals in overlying lithologic units is direct evidence that copious volumes of mineralized and/or hydrothermal fluids circulated through the early Martian crust. The wide range in intensity of structural and chemical modification from outcrop to outcrop along the crater rim shows that the ejecta of large (>8 km in diameter) impact craters is complex. These results imply that geologic complexity is to be anticipated in other areas of Mars where cratering has been a fundamental process in the local and regional geology and mineralogy.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JE004699","usgsCitation":"Crumpler, L., Arvidson, R., Bell, J., Clark, B.C., Cohen, B.A., Farrand, W.H., Gellert, R., Golombek, M., Grant, J.A., Guinness, E., Herkenhoff, K.E., Johnson, J.R., Jolliff, B., Ming, D.W., Mittlefehldt, D.W., Parker, T., Rice, J.W., Squyres, S.W., Sullivan, R., and Yen, A.S., 2015, Context of ancient aqueous environments on Mars from in situ geologic mapping at Endeavour Crater: Journal of Geophysical Research E: Planets, v. 120, no. 3, p. 538-569, https://doi.org/10.1002/2014JE004699.","productDescription":"32 p.","startPage":"538","endPage":"569","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056594","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":471518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014je004699","text":"Publisher Index Page"},{"id":318754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-24","publicationStatus":"PW","scienceBaseUri":"56e15744e4b00e6e761627a0","contributors":{"authors":[{"text":"Crumpler, L.S.","contributorId":81575,"corporation":false,"usgs":true,"family":"Crumpler","given":"L.S.","email":"","affiliations":[],"preferred":false,"id":622186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, R. 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Due to salamander use of structurally complex habitats, and because only a portion of a population is available for sampling, evaluation of sampling designs and estimators is critical to provide strong inference about Plethodontid ecology and responses to conservation and management activities. We conducted a simulation study to evaluate the effectiveness of multi-scale and hierarchical single-scale occupancy models in the context of a Before-After Control-Impact (BACI) experimental design with multiple levels of sampling. Also, we fit the hierarchical single-scale model to empirical data collected for Oregon slender and Ensatina salamanders across two years on 66 forest stands in the Cascade Range, Oregon, USA. All models were fit within a Bayesian framework. Estimator precision in both models improved with increasing numbers of primary and secondary sampling units, underscoring the potential gains accrued when adding secondary sampling units. Both models showed evidence of estimator bias at low detection probabilities and low sample sizes; this problem was particularly acute for the multi-scale model. Our results suggested that sufficient sample sizes at both the primary and secondary sampling levels could ameliorate this issue. Empirical data indicated Oregon slender salamander occupancy was associated strongly with the amount of coarse woody debris (posterior mean = 0.74; SD = 0.24); Ensatina occupancy was not associated with amount of coarse woody debris (posterior mean = -0.01; SD = 0.29). Our simulation results indicate that either model is suitable for use in an experimental study of Plethodontid salamanders provided that sample sizes are sufficiently large. However, hierarchical single-scale and multi-scale models describe different processes and estimate different parameters. As a result, we recommend careful consideration of study questions and objectives prior to sampling data and fitting models.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0142903","usgsCitation":"Kroll, A.J., Garcia, T.S., Jones, J., Dugger, K., Murden, B., Johnson, J., Peerman, S., Brintz, B., and Rochelle, M., 2015, Evaluating multi-level models to test occupancy state responses of Plethodontid salamanders: PLoS ONE, v. 10, no. 11, e0142903; 19 p., https://doi.org/10.1371/journal.pone.0142903.","productDescription":"e0142903; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066731","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0142903","text":"Publisher Index Page"},{"id":323290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-30","publicationStatus":"PW","scienceBaseUri":"575941e1e4b04f417c256833","contributors":{"authors":[{"text":"Kroll, Andrew J.","contributorId":171590,"corporation":false,"usgs":false,"family":"Kroll","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Tiffany S.","contributorId":171591,"corporation":false,"usgs":false,"family":"Garcia","given":"Tiffany","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Jay E.","contributorId":171592,"corporation":false,"usgs":false,"family":"Jones","given":"Jay E.","affiliations":[],"preferred":false,"id":638046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murden, Blake","contributorId":171593,"corporation":false,"usgs":false,"family":"Murden","given":"Blake","email":"","affiliations":[],"preferred":false,"id":638047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Josh","contributorId":171594,"corporation":false,"usgs":false,"family":"Johnson","given":"Josh","email":"","affiliations":[],"preferred":false,"id":638048,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peerman, Summer","contributorId":171595,"corporation":false,"usgs":false,"family":"Peerman","given":"Summer","email":"","affiliations":[],"preferred":false,"id":638049,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brintz, Ben","contributorId":171596,"corporation":false,"usgs":false,"family":"Brintz","given":"Ben","email":"","affiliations":[],"preferred":false,"id":638050,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rochelle, Michael","contributorId":171597,"corporation":false,"usgs":false,"family":"Rochelle","given":"Michael","email":"","affiliations":[],"preferred":false,"id":638051,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70173596,"text":"70173596 - 2015 - An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management","interactions":[],"lastModifiedDate":"2016-06-09T16:01:36","indexId":"70173596","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management","docAbstract":"Fishery biologists are increasingly recognizing the importance of considering the dynamic nature of streams when developing streamflow policies. Such approaches require information on how flow regimes influence the physical environment and how those factors, in turn, affect species-specific demographic rates. A more cost-effective alternative could be the use of dynamic occupancy models to predict how species are likely to respond to changes in flow. To appraise the efficacy of this approach, we evaluated relative support for hypothesized effects of seasonal streamflow components, stream channel characteristics, and fish species traits on local extinction, colonization, and recruitment (meta-demographic rates) of stream fishes. We used 4 years of seasonal fish collection data from 23 streams to fit multistate, multiseason occupancy models for 42 fish species in the lower Flint River Basin, Georgia. Modelling results suggested that meta-demographic rates were influenced by streamflows, particularly short-term (10-day) flows. Flow effects on meta-demographic rates also varied with stream size, channel morphology, and fish species traits. Small-bodied species with generalized life-history characteristics were more resilient to flow variability than large-bodied species with specialized life-history characteristics. Using this approach, we simplified the modelling framework, thereby facilitating the development of dynamic, spatially explicit evaluations of the ecological consequences of water resource development activities over broad geographic areas. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","doi":"10.1002/rra.2835","usgsCitation":"Peterson, J., and Shea, C., 2015, An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management: River Research and Applications, v. 31, no. 10, p. 1227-1241, https://doi.org/10.1002/rra.2835.","productDescription":"10 p.","startPage":"1227","endPage":"1241","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055636","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Flint River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.8858642578125,\n 30.718226523201352\n ],\n [\n -84.2816162109375,\n 30.7937555812177\n ],\n [\n -84.0234375,\n 31.168159735435708\n ],\n [\n -84.034423828125,\n 31.637013986617973\n ],\n [\n -84.35028076171875,\n 31.800558330295235\n ],\n [\n -84.5672607421875,\n 31.884554393746278\n ],\n [\n -84.85015869140625,\n 31.828565514766165\n ],\n [\n -84.8858642578125,\n 30.718226523201352\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-17","publicationStatus":"PW","scienceBaseUri":"575a932fe4b04f417c275122","contributors":{"authors":[{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, C.P.","contributorId":92885,"corporation":false,"usgs":true,"family":"Shea","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":638342,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70169218,"text":"70169218 - 2015 - Kelp, cobbles, and currents: Biologic reduction of coarse grain entrainment stress","interactions":[],"lastModifiedDate":"2016-03-23T12:38:42","indexId":"70169218","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Kelp, cobbles, and currents: Biologic reduction of coarse grain entrainment stress","docAbstract":"Models quantifying the onset of sediment motion do not typically account for the effect of biotic processes because they are difficult to isolate and quantify in relation to physical processes. Here we investigate an example of the interaction of kelp (Order Laminariales) and coarse sediment transport in the coastal zone, where it is possible to directly quantify and test its effect. Kelp is ubiquitous along rocky coastlines and the impact on ecosystems has been well studied. We develop a physical model to explore the reduction in critical shear stress of large cobbles colonized by Nereocystis luetkeana, or bull kelp. Observations of coarse sediment motion at a site in the Strait of Juan de Fuca (northwest United States–Canada boundary channel) confirm the model prediction and show that kelp reduces the critical stress required for transport of a given grain size by as much as 92%, enabling annual coarse sediment transport rates comparable to those of fluvial systems. We demonstrate that biology is fundamental to the physical processes that shape the coastal zone in this setting.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G36616.1","collaboration":"University of California, Santa Cruz; Wahington Sea Grant","usgsCitation":"Masteller, C.C., Finnegan, N., Warrick, J.A., and Miller, I.M., 2015, Kelp, cobbles, and currents: Biologic reduction of coarse grain entrainment stress: Geology, v. 43, no. 6, p. 543-546, https://doi.org/10.1130/G36616.1.","productDescription":"4 p.","startPage":"543","endPage":"546","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064850","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":319217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f3be43e4b0f59b85e02e9d","contributors":{"authors":[{"text":"Masteller, Claire C","contributorId":167737,"corporation":false,"usgs":false,"family":"Masteller","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":24821,"text":"UC Santa Cruz Department of Earth and Planetary Sciences","active":true,"usgs":false}],"preferred":false,"id":623353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finnegan, Noah J","contributorId":167738,"corporation":false,"usgs":false,"family":"Finnegan","given":"Noah J","affiliations":[{"id":24821,"text":"UC Santa Cruz Department of Earth and Planetary Sciences","active":true,"usgs":false}],"preferred":false,"id":623354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":623352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623355,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176189,"text":"70176189 - 2015 - Hydraulic modeling development and application in water resources engineering","interactions":[],"lastModifiedDate":"2016-09-01T13:04:20","indexId":"70176189","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hydraulic modeling development and application in water resources engineering","docAbstract":"The use of modeling has become widespread in water resources engineering and science to study rivers, lakes, estuaries, and coastal regions. For example, computer models are commonly used to forecast anthropogenic effects on the environment, and to help provide advanced mitigation measures against catastrophic events such as natural and dam-break floods. Linking hydraulic models to vegetation and habitat models has expanded their use in multidisciplinary applications to the riparian corridor. Implementation of these models in software packages on personal desktop computers has made them accessible to the general engineering community, and their use has been popularized by the need of minimal training due to intuitive graphical user interface front ends. Models are, however, complex and nontrivial, to the extent that even common terminology is sometimes ambiguous and often applied incorrectly. In fact, many efforts are currently under way in order to standardize terminology and offer guidelines for good practice, but none has yet reached unanimous acceptance. This chapter provides a view of the elements involved in modeling surface flows for the application in environmental water resources engineering. It presents the concepts and steps necessary for rational model development and use by starting with the exploration of the ideas involved in defining a model. Tangible form of those ideas is provided by the development of a mathematical and corresponding numerical hydraulic model, which is given with a substantial amount of detail. The issues of model deployment in a practical and productive work environment are also addressed. The chapter ends by presenting a few model applications highlighting the need for good quality control in model validation.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in water resources engineering","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-11023-3_6","usgsCitation":"Simoes, F.J., 2015, Hydraulic modeling development and application in water resources engineering, chap. of Advances in water resources engineering, v. 14, p. 247-295, https://doi.org/10.1007/978-3-319-11023-3_6.","productDescription":"49 p.","startPage":"247","endPage":"295","ipdsId":"IP-057289","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-06","publicationStatus":"PW","scienceBaseUri":"57c9512ee4b0f2f0cec15bef","contributors":{"editors":[{"text":"Yang, Chih Ted","contributorId":51798,"corporation":false,"usgs":true,"family":"Yang","given":"Chih","email":"","middleInitial":"Ted","affiliations":[],"preferred":false,"id":647750,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Lawrence K.","contributorId":174222,"corporation":false,"usgs":false,"family":"Wang","given":"Lawrence","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647751,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647665,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173866,"text":"70173866 - 2015 - Distributional changes in the western Burrowing Owl (Athene cunicularia hypugaea) in North America from 1967 to 2008","interactions":[],"lastModifiedDate":"2016-07-11T12:54:16","indexId":"70173866","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Distributional changes in the western Burrowing Owl (Athene cunicularia hypugaea) in North America from 1967 to 2008","docAbstract":"The quantification of shifts in bird distributions in response to climate change provides an opportunity to gain a deeper understanding of the processes that influence species persistence. We used data from the North American Breeding Bird Survey (BBS) to document changes in the distributional limits of the western Burrowing Owl (Athene cunicularia hypugaea) from 1967 to 2008. We used logistic regression to model presence probability (p) as a function of longitude, latitude, and year. We modeled a linear trend in logit(p) through time with slope and intercept modeled as a double Fourier series of longitude and latitude. We found that the western Burrowing Owl has experienced an intriguing southward shift in the northern half of its breeding range, contrary to what is predicted by most species niche models and what has been observed for many other species in North America. The breeding range of the Burrowing Owl has been shrinking near its northern, western, and eastern edges. Our model detected the population declines that were observed in California and eastern Washington, in locations where maps based on route-specific estimating equations had predicted significant population increases. We suggest that the northern boundary of the breeding distribution of the western Burrowing Owl has contracted southward and the southern boundary of the species' breeding distribution has expanded southward into areas of northern Mexico that were formerly used only by wintering migrants.
","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-14-00004.1","usgsCitation":"Macias-Duarte, A., and Conway, C.J., 2015, Distributional changes in the western Burrowing Owl (Athene cunicularia hypugaea) in North America from 1967 to 2008: Journal of Raptor Research, v. 49, no. 1, p. 75-83, https://doi.org/10.3356/JRR-14-00004.1.","productDescription":"9 p.","startPage":"75","endPage":"83","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1967-01-01","ipdsId":"IP-058063","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323715,"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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125,\n 30\n ],\n [\n -125,\n 55\n ],\n [\n -95,\n 55\n ],\n [\n -95,\n 30\n ],\n [\n -125,\n 30\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57627c30e4b07657d19a69d8","contributors":{"authors":[{"text":"Macias-Duarte, Alberto","contributorId":70605,"corporation":false,"usgs":true,"family":"Macias-Duarte","given":"Alberto","email":"","affiliations":[],"preferred":false,"id":639137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638861,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178586,"text":"70178586 - 2015 - Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM","interactions":[],"lastModifiedDate":"2017-01-20T10:36:00","indexId":"70178586","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5272,"text":"Proceedings of the International Association of Hydrological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM","docAbstract":"The dependency of surface- and groundwater flows and aquifer hydraulic properties on deformation induced by changes in aquifer head is not accounted for in the standard version of MODFLOW. A new USGS integrated hydrologic model, MODFLOW-OWHM, incorporates this dependency by linking subsidence and mesh deformation with changes in aquifer transmissivity and storage coefficient, and with flows that also depend on aquifer characteristics and land-surface geometry. This new deformation-dependent approach is being used for the further development of the integrated Central Valley hydrologic model (CVHM) in California. Preliminary results from this application and from hypothetical test cases of similar systems show that changes in canal flows, stream seepage, and evapotranspiration from groundwater (ETgw) are sensitive to deformation. Deformation feedback has been shown to also have an indirect effect on conjunctive surface- and groundwater use components with increased stream seepage and streamflows influencing surface-water deliveries and return flows. In the Central Valley model, land subsidence may significantly degrade the ability of the major canals to deliver surface water from the Delta to the San Joaquin and Tulare basins. Subsidence can also affect irrigation demand and ETgw, which, along with altered surface-water supplies, causes a feedback response resulting in changed estimates of groundwater pumping for irrigation. This modeling feature also may improve the impact assessment of dewatering-induced land subsidence/uplift (following irrigation pumping or coal-seam gas extraction) on surface receptors, inter-basin transfers, and surface infrastructure integrity.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/piahs-372-449-2015","usgsCitation":"Hanson, R.T., Traum, J.A., Boyce, S.E., Schmid, W., and Hughes, J.D., 2015, Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM: Proceedings of the International Association of Hydrological Sciences, v. 372, p. 449-453, https://doi.org/10.5194/piahs-372-449-2015.","productDescription":"5 p.","startPage":"449","endPage":"453","ipdsId":"IP-065067","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-372-449-2015","text":"Publisher Index Page"},{"id":333531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"372","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"58833023e4b0d00231637794","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":654472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":654473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176497,"text":"70176497 - 2015 - A 2-D process-based model for suspended sediment dynamics: A first step towards ecological modeling","interactions":[],"lastModifiedDate":"2016-09-19T14:35:11","indexId":"70176497","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A 2-D process-based model for suspended sediment dynamics: A first step towards ecological modeling","docAbstract":"In estuaries suspended sediment concentration (SSC) is one of the most important contributors to turbidity, which influences habitat conditions and ecological functions of the system. Sediment dynamics differs depending on sediment supply and hydrodynamic forcing conditions that vary over space and over time. A robust sediment transport model is a first step in developing a chain of models enabling simulations of contaminants, phytoplankton and habitat conditions.
This works aims to determine turbidity levels in the complex-geometry delta of the San Francisco estuary using a process-based approach (Delft3D Flexible Mesh software). Our approach includes a detailed calibration against measured SSC levels, a sensitivity analysis on model parameters and the determination of a yearly sediment budget as well as an assessment of model results in terms of turbidity levels for a single year, water year (WY) 2011.
Model results show that our process-based approach is a valuable tool in assessing sediment dynamics and their related ecological parameters over a range of spatial and temporal scales. The model may act as the base model for a chain of ecological models assessing the impact of climate change and management scenarios. Here we present a modeling approach that, with limited data, produces reliable predictions and can be useful for estuaries without a large amount of processes data.
Agent-based modelling (ABM) has been used to simulate mosquito life cycles and to evaluate vector control applications. However, most models lack sugar-feeding and resting behaviours or are based on mathematical equations lacking individual level randomness and spatial components of mosquito life. Here, a spatial individual-based model (IBM) incorporating sugar-feeding and resting behaviours of the malaria vector Anopheles gambiae was developed to estimate the impact of environmental sugar sources and resting sites on survival and biting behaviour.
A spatial IBM containing An. gambiae mosquitoes and humans, as well as the village environment of houses, sugar sources, resting sites and larval habitat sites was developed. Anopheles gambiae behaviour rules were attributed at each step of the IBM: resting, host seeking, sugar feeding and breeding. Each step represented one second of time, and each simulation was set to run for 60 days and repeated 50 times. Scenarios of different densities and spatial distributions of sugar sources and outdoor resting sites were simulated and compared.
When the number of natural sugar sources was increased from 0 to 100 while the number of resting sites was held constant, mean daily survival rate increased from 2.5% to 85.1% for males and from 2.5% to 94.5% for females, mean human biting rate increased from 0 to 0.94 bites per human per day, and mean daily abundance increased from 1 to 477 for males and from 1 to 1,428 for females. When the number of outdoor resting sites was increased from 0 to 50 while the number of sugar sources was held constant, mean daily survival rate increased from 77.3% to 84.3% for males and from 86.7% to 93.9% for females, mean human biting rate increased from 0 to 0.52 bites per human per day, and mean daily abundance increased from 62 to 349 for males and from 257 to 1120 for females. All increases were significant (P < 0.01). Survival was greater when sugar sources were randomly distributed in the whole village compared to clustering around outdoor resting sites or houses.
Increases in densities of sugar sources or outdoor resting sites significantly increase the survival and human biting rates of An. gambiae mosquitoes. Survival of An. gambiae is more supported by random distribution of sugar sources than clustering of sugar sources around resting sites or houses. Density and spatial distribution of natural sugar sources and outdoor resting sites modulate vector populations and human biting rates, and thus malaria parasite transmission.
Closed depressions on the land surface can be identified by ‘filling’ a digital elevation model (DEM) and subtracting the filled model from the original DEM. However, automated methods suffer from artificial ‘dams’ where surface streams cross under bridges and through culverts. Removal of these false depressions from an elevation model is difficult due to the lack of bridge and culvert inventories; thus, another method is needed to breach these artificial dams. Here, we present a semi-automated workflow and toolbox to remove falsely detected closed depressions created by artificial dams in a DEM. The approach finds the intersections between transportation routes (e.g., roads) and streams, and then lowers the elevation surface across the roads to stream level allowing flow to be routed under the road. Once the surface is corrected to match the approximate location of the National Hydrologic Dataset stream lines, the procedure is repeated with sequentially smaller flow accumulation thresholds in order to generate stream lines with less contributing area within the watershed. Through multiple iterations, artificial depressions that may arise due to ephemeral flow paths can also be removed. Preliminary results reveal that this new technique provides significant improvements for flow routing across a DEM and minimizes artifacts within the elevation surface. Slight changes in the stream flow lines generally improve the quality of flow routes; however some artificial dams may persist. Problematic areas include extensive road ditches, particularly along divided highways, and where surface flow crosses beneath road intersections. Limitations do exist, and the results partially depend on the quality of data being input. Of 166 manually identified culverts from a previous study by Doctor and Young in 2013, 125 are within 25 m of culverts identified by this tool. After three iterations, 1,735 culverts were identified and cataloged. The result is a reconditioned elevation dataset, which retains the karst topography for further analysis, and a culvert catalog.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","conferenceDate":"October 5-9, 2015","conferenceLocation":"Rochester, MN","language":"English","publisher":"National Cave and Karst Research Institute","doi":"10.5038/9780991000951.1057","usgsCitation":"Wall, J., Doctor, D.H., and Terziotti, S., 2015, A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model, in National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst, Rochester, MN, October 5-9, 2015, p. 255-262, https://doi.org/10.5038/9780991000951.1057.","productDescription":"8 p.","startPage":"255","endPage":"262","ipdsId":"IP-066736","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471533,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarcommons.usf.edu/sinkhole_2015/ProceedingswithProgram/GIS_Databases_and_Maps/5","text":"External Repository"},{"id":328120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffade4b0f2f0cebfc214","contributors":{"authors":[{"text":"Wall, John","contributorId":206495,"corporation":false,"usgs":false,"family":"Wall","given":"John","email":"","affiliations":[],"preferred":false,"id":646084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646085,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173546,"text":"70173546 - 2015 - Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho","interactions":[],"lastModifiedDate":"2016-06-14T14:53:25","indexId":"70173546","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho","docAbstract":"The lower Kootenai River, Idaho, was sampled during the summers of 2012 and 2013 to evaluate its fish assemblage structure at seven sites within main- and side-channel habitats where large-scale habitat rehabilitation was undertaken. Understanding the current patterns of fish assemblage structure and their relationships with habitat is important for evaluating the effects of past and future rehabilitation projects on the river. Species-specific habitat associations were modeled, and the variables that best explained the occurrence and relative abundance of fish were identified in order to guide future habitat rehabilitation so that it benefits native species. The results indicated that the side-channel habitats supported higher species richness than the main-channel habitats and that nonnative fishes were closely associated with newly rehabilitated habitats. This research provides valuable insight on the current fish assemblages in the Kootenai River and the assemblage-level responses that may occur as a result of future rehabilitation activities.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2015.1069756","usgsCitation":"Watkins, C.J., Stevens, B.S., Quist, M.C., Shepard, B.B., and Ireland, S., 2015, Patterns of fish assemblage structure and habitat use among main- and side-channel environments in the lower Kootenai River, Idaho: Transactions of the American Fisheries Society, v. 144, no. 6, p. 1340-1355, https://doi.org/10.1080/00028487.2015.1069756.","productDescription":"16 p.","startPage":"1340","endPage":"1355","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059550","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.33354187011719,\n 48.679627401760364\n ],\n [\n -116.33354187011719,\n 48.725849974568995\n ],\n [\n -116.17492675781251,\n 48.725849974568995\n ],\n [\n -116.17492675781251,\n 48.679627401760364\n ],\n [\n -116.33354187011719,\n 48.679627401760364\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"57612ab3e4b04f417c2ce4bc","contributors":{"authors":[{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":638743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ireland, Susan C.","contributorId":18244,"corporation":false,"usgs":true,"family":"Ireland","given":"Susan C.","affiliations":[],"preferred":false,"id":638744,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173547,"text":"70173547 - 2015 - Population characteristics of channel catfish near the northern edge of their distribution: implications for management","interactions":[],"lastModifiedDate":"2016-06-22T15:19:00","indexId":"70173547","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Population characteristics of channel catfish near the northern edge of their distribution: implications for management","docAbstract":"Channel catfish, Ictalurus punctatus (Rafinesque), populations in six lakes in northern Idaho, USA, were sampled to describe their population characteristics. During the summers of 2011 and 2012, 4864 channel catfish were sampled. Channel catfish populations had low to moderate catch rates, and length structure was dominated by fish <400 mm. Channel catfish were in good body condition. All populations were maintained by stocking age-1 or age-2 fish. Growth of fish reared in thermally enriched environments prior to stocking was fast compared to other North American channel catfish populations. After stocking, growth of channel catfish declined rapidly. Once stocked, cold water temperatures, prey resources and (or) genetic capabilities limited growth. Total annual mortality of age 2 and older channel catfish was generally <40%. Tag returns indicated that angler exploitation was low, varying from 0 to 43% among lakes. This research provides insight on factors regulating channel catfish population dynamics and highlights important considerations associated with their ecology and management.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"New York, NY","doi":"10.1111/fme.12156","usgsCitation":"Carter-Lynn, K.P., and Quist, M.C., 2015, Population characteristics of channel catfish near the northern edge of their distribution: implications for management: Fisheries Management and Ecology, v. 22, no. 6, p. 530-538, https://doi.org/10.1111/fme.12156.","productDescription":"9 p.","startPage":"530","endPage":"538","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059514","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-26","publicationStatus":"PW","scienceBaseUri":"576bb6b9e4b07657d1a2292c","chorus":{"doi":"10.1111/fme.12156","url":"http://dx.doi.org/10.1111/fme.12156","publisher":"Wiley-Blackwell","authors":"Carter-Lynn K. P., Quist M. C., Liter M.","journalName":"Fisheries Management and Ecology","publicationDate":"11/26/2015"},"contributors":{"authors":[{"text":"Carter-Lynn, K. P.","contributorId":171804,"corporation":false,"usgs":false,"family":"Carter-Lynn","given":"K.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":640433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637286,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173548,"text":"70173548 - 2015 - Habitat use of non-native burbot in a western river","interactions":[],"lastModifiedDate":"2019-12-14T06:49:59","indexId":"70173548","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use of non-native burbot in a western river","docAbstract":"Burbot, Lota lota (Linnaeus), were illegally introduced into the Green River drainage, Wyoming in the 1990s. Burbot could potentially alter the food web in the Green River, thereby negatively influencing socially, economically, and ecologically important fish species. Therefore, managers of the Green River are interested in implementing a suppression program for burbot. Because of the cost associated with the removal of undesirable species, it is critical that suppression programs are as effective as possible. Unfortunately, relatively little is known about the habitat use of non-native burbot in lotic systems, severely limiting the effectiveness of any removal effort. We used hurdle models to identify habitat features influencing the presence and relative abundance of burbot. A total of 260 burbot was collected during 207 sampling events in the summer and autumn of 2013. Regardless of the season, large substrate (e.g., cobble, boulder) best predicted the presence and relative abundance of burbot. In addition, our models indicated that the occurrence of burbot was inversely related to mean current velocity. The efficient and effective removal of burbot from the Green River largely relies on an improved understanding of the influence of habitat on their distribution and relative abundance.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-015-2176-6","usgsCitation":"Klein, Z.B., Quist, M.C., Rhea, D.T., and Senecal, A.C., 2015, Habitat use of non-native burbot in a western river: Hydrobiologia, v. 757, no. 1, p. 61-71, https://doi.org/10.1007/s10750-015-2176-6.","productDescription":"11 p.","startPage":"61","endPage":"71","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059416","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.302734375,\n 40.78054143186033\n ],\n [\n -108.67675781249999,\n 40.78054143186033\n ],\n [\n -108.67675781249999,\n 43.389081939117496\n ],\n [\n -110.302734375,\n 43.389081939117496\n ],\n [\n -110.302734375,\n 40.78054143186033\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"757","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-10","publicationStatus":"PW","scienceBaseUri":"575fd92de4b04f417c2baa21","contributors":{"authors":[{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhea, Darren T.","contributorId":74650,"corporation":false,"usgs":true,"family":"Rhea","given":"Darren","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":638627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senecal, Anna C.","contributorId":171649,"corporation":false,"usgs":false,"family":"Senecal","given":"Anna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638628,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173563,"text":"70173563 - 2015 - Dispersal and survival of a polygynandrous passerine","interactions":[],"lastModifiedDate":"2017-10-24T15:11:35","indexId":"70173563","displayToPublicDate":"2016-01-01T00:00:00","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":"Dispersal and survival of a polygynandrous passerine","docAbstract":"Although sex biases in survival and dispersal are thought to be linked to avian mating systems, little is known about these demographic patterns in less common mating strategies such as polygynandry. We investigated breeding-site fidelity, natal philopatry, and apparent survival of the polygynandrous Smith's Longspur (Calcarius pictus) over a 7-yr period at 2 areas in Alaska's Brooks Range. We used capture–recapture histories of 243 color-banded adults and 431 juveniles to estimate annual survival and determined dispersal patterns from 34 adults that were found breeding within the study areas over multiple years. Most adults (88%) returned to nest in the same breeding neighborhood as in previous years; mean dispersal distance was 300.9 ± 74.2 m and did not differ between sexes. Juveniles exhibited low natal philopatry; only 4% of banded hatch-year birds were resighted as adults during subsequent years. Those that did return dispersed, on average, 1,674.4 ± 465.8 m from their natal nests (n = 6). Model-averaged survival estimates indicated that annual survival of adult females (50–58%) was only slightly lower than that of males (60–63%); juvenile survival was 41% but was paired with a low (13%) encounter probability. We attribute the lack of sex bias in adult dispersal to this species' polygynandrous mating strategy. Within this system, there are multiple mates within a breeding neighborhood. We argue that natural selection may favor females that remain on the same, familiar breeding site, because they do not have to disperse to a new area to find a suitable mate. Dispersal among breeding populations most likely occurs by juveniles returning as adults. Our findings support hypotheses that suggest a relationship between dispersal and mating strategy and provide some of the first insight into the demographic patterns of a polygynandrous passerine.
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-15-41.1","usgsCitation":"Craig, H.R., Kendall, S.J., Wild, T.C., and Powell, A.N., 2015, Dispersal and survival of a polygynandrous passerine: The Auk, v. 132, no. 4, p. 916-925, https://doi.org/10.1642/AUK-15-41.1.","productDescription":"10 p.","startPage":"916","endPage":"925","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062495","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-15-41.1","text":"Publisher Index Page"},{"id":323521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92be4b04f417c2baa0d","contributors":{"authors":[{"text":"Craig, Heather R.","contributorId":171770,"corporation":false,"usgs":false,"family":"Craig","given":"Heather","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steve J. 0000-0002-9290-5629","orcid":"https://orcid.org/0000-0002-9290-5629","contributorId":169663,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":638604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wild, Teri C.","contributorId":171769,"corporation":false,"usgs":false,"family":"Wild","given":"Teri","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby N. 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":171426,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","middleInitial":"N.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637345,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173564,"text":"70173564 - 2015 - Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur","interactions":[],"lastModifiedDate":"2016-06-13T15:27:01","indexId":"70173564","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur","docAbstract":"Smith's Longspur (Calcarius pictus) is a species of conservation concern which breeds in Arctic habitats that are expected to be especially vulnerable to climate change. We used bird presence and habitat data from point-transect surveys conducted at 12 sites across the Brooks Range, Alaska, 2003–2009, to identify breeding areas, describe local habitat associations, and identify suitable habitat using a predictive model of Smith's Longspur distribution. Smith's Longspurs were observed at seven sites, where they were associated with a variety of sedge–shrub habitats composed primarily of mosses, sedges, tussocks, and dwarf shrubs; erect shrubs were common but sparse. Nonmetric multidimensional scaling ordination of ground cover revealed positive associations of Smith's Longspur presence with sedges and mosses and a negative association with high cover of shrubs. To model predicted distribution, we used boosted regression trees to relate landscape variables to occurrence. Our model predicted that Smith's Longspurs may occur in valleys and foothills of the northeastern and southeastern mountains and in upland plateaus of the western mountains, and farther west than currently documented, over a predicted area no larger than 15% of the Brooks Range. With climate change, shrubs are expected to grow larger and denser, while soil moisture and moss cover are predicted to decrease. These changes may reduce Smith's Longspur habitat quality and limit distribution in the Brooks Range to poorly drained lowlands and alpine plateaus where sedge–shrub tundra is likely to persist. Conversely, northward advance of shrubs into sedge tundra may create suitable habitat, thus supporting a northward longspur distribution shift.
","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-14-77.1","usgsCitation":"Wild, T.C., Kendall, S.J., Guldager, N., and Powell, A.N., 2015, Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur: The Condor, v. 117, no. 1, p. 3-17, https://doi.org/10.1650/CONDOR-14-77.1.","productDescription":"15 p.","startPage":"3","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056888","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92be4b04f417c2baa07","contributors":{"authors":[{"text":"Wild, Teri C.","contributorId":171769,"corporation":false,"usgs":false,"family":"Wild","given":"Teri","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steven J.","contributorId":30911,"corporation":false,"usgs":false,"family":"Kendall","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":638598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guldager, Nikki","contributorId":101981,"corporation":false,"usgs":true,"family":"Guldager","given":"Nikki","email":"","affiliations":[],"preferred":false,"id":638599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby N. 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":171426,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","middleInitial":"N.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}