No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1111/biom.12903","usgsCitation":"Irvine, K.M., 2018, Book review: BILL SHIPLEY. Cause and correlation in biology: A user's guide to path analysis, structural equations and causal inference with R, 2nd ed. United Kingdom: Cambridge University Press.: Biometrics, v. 74, no. 2, p. 779-780, https://doi.org/10.1111/biom.12903.","productDescription":"2 p.","startPage":"779","endPage":"780","ipdsId":"IP-088737","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":358016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-26","publicationStatus":"PW","scienceBaseUri":"5bc02fe4e4b0fc368eb539a1","contributors":{"authors":[{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":746863,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199839,"text":"70199839 - 2018 - Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification","interactions":[],"lastModifiedDate":"2018-10-02T11:12:49","indexId":"70199839","displayToPublicDate":"2018-06-01T11:12:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification","docAbstract":"Acoustic recording units (ARUs) enable geographically extensive surveys of sensitive and elusive species. However, a hidden cost of using ARU data for modeling species occupancy is that prohibitive amounts of human verification may be required to correct species identifications made from automated software. Bat acoustic studies exemplify this challenge because large volumes of echolocation calls could be recorded and automatically classified to species. The standard occupancy model requires aggregating verified recordings to construct confirmed detection/non‐detection datasets. The multistep data processing workflow is not necessarily transparent nor consistent among studies. We share a workflow diagramming strategy that could provide coherency among practitioners. A false‐positive occupancy model is explored that accounts for misclassification errors and enables potential reduction in the number of confirmed detections. Simulations informed by real data were used to evaluate how much confirmation effort could be reduced without sacrificing site occupancy and detection error estimator bias and precision. We found even under a 50% reduction in total confirmation effort, estimator properties were reasonable for our assumed survey design, species‐specific parameter values, and desired precision. For transferability, a fully documented r package, OCacoustic, for implementing a false‐positive occupancy model is provided. Practitioners can apply OCacoustic to optimize their own study design (required sample sizes, number of visits, and confirmation scenarios) for properly implementing a false‐positive occupancy model with bat or other wildlife acoustic data. Additionally, our work highlights the importance of clearly defining research objectives and data processing strategies at the outset to align the study design with desired statistical inferences.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4162","usgsCitation":"Banner, K.M., Irvine, K.M., Rodhouse, T., Wright, W.J., Rodriguez, R., and Litt, A.R., 2018, Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification: Ecology and Evolution, v. 8, no. 12, p. 6144-6156, https://doi.org/10.1002/ece3.4162.","productDescription":"13 p.","startPage":"6144","endPage":"6156","ipdsId":"IP-092219","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468705,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4162","text":"Publisher Index Page"},{"id":437884,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JD4W00","text":"USGS data release","linkHelpText":"Online supporting information for "Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification""},{"id":358014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-20","publicationStatus":"PW","scienceBaseUri":"5bc02fe4e4b0fc368eb539a3","contributors":{"authors":[{"text":"Banner, Katharine M.","contributorId":208354,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine","email":"","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":746852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":746851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":746853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Wilson J. 0000-0003-4276-3850 wjwright@usgs.gov","orcid":"https://orcid.org/0000-0003-4276-3850","contributorId":198317,"corporation":false,"usgs":true,"family":"Wright","given":"Wilson","email":"wjwright@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":746854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez, Rogelio M.","contributorId":208357,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Rogelio M.","affiliations":[{"id":37789,"text":"Zots Ecological Solutions","active":true,"usgs":false}],"preferred":false,"id":746857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":746858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198565,"text":"70198565 - 2018 - Thamnophis sirtalis fitchi (Valley Gartersnake). Coloration.","interactions":[],"lastModifiedDate":"2018-08-08T11:11:20","indexId":"70198565","displayToPublicDate":"2018-06-01T11:11:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Thamnophis sirtalis fitchi (Valley Gartersnake). Coloration.","title":"Thamnophis sirtalis fitchi (Valley Gartersnake). Coloration.","docAbstract":"During surveys for Thamnophis gigas (Giant Gartersnake), I observed an adult T. sirtalis fitchi with unusual coloration— a yellow-cream background color with some typical red coloration laterally, but with very minimal amounts of the dark slate-black (along the sides of the yellow dorsal stripe and on top of the head) that normally predominates in this subspecies (Fig. 1; LACM [Natural History Museum of Los Angeles County] PC 2339, photo voucher). The snake was captured in a modified minnow trap on 21 May 2017, in Sutter County, Sacramento Valley, California, USA. Prior to this capture, our survey crew made two sightings of similarly marked T. s. fitchi at the same field location, and another snake with similar markings was captured at a nearby field location on 13 May 2016 (LACM PC 2341, photo voucher).
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Fulton, A.M., 2018, Thamnophis sirtalis fitchi (Valley Gartersnake). Coloration.: Herpetological Review, v. 49, no. 2, p. 358-358.","productDescription":"1 p.","startPage":"358","endPage":"358","ipdsId":"IP-090675","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":356320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc443e4b0f5d57878ea39","contributors":{"authors":[{"text":"Fulton, Alexandria M. 0000-0002-1070-4605 afulton@usgs.gov","orcid":"https://orcid.org/0000-0002-1070-4605","contributorId":200445,"corporation":false,"usgs":true,"family":"Fulton","given":"Alexandria","email":"afulton@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":741951,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199064,"text":"70199064 - 2018 - Meteorologic, oceanographic, and geomorphic controls on circulation and residence time in a coral reef-lined embayment: Faga’alu Bay, American Samoa","interactions":[],"lastModifiedDate":"2018-08-30T11:08:09","indexId":"70199064","displayToPublicDate":"2018-06-01T11:07:55","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Meteorologic, oceanographic, and geomorphic controls on circulation and residence time in a coral reef-lined embayment: Faga’alu Bay, American Samoa","docAbstract":"Water circulation over coral reefs can determine the degree to which reef organisms are exposed to the overlying waters, so understanding circulation is necessary to interpret spatial patterns in coral health. Because coral reefs often have high geomorphic complexity, circulation patterns and the duration of exposure, or “local residence time” of a water parcel, can vary substantially over small distances. Different meteorologic and oceanographic forcings can further alter residence time patterns over reefs. Here, spatially dense Lagrangian surface current drifters and Eulerian current meters were used to characterize circulation patterns and resulting residence times over different regions of the reefs in Faga’alu Bay, American Samoa, during three distinct forcing periods: calm, strong winds, and large waves. Residence times varied among different geomorphic zones of the reef and were reflected in the spatially varying health of the corals across the embayment. The relatively healthy, seaward fringing reef consistently had the shortest residence times, as it was continually flushed by wave breaking at the reef crest, whereas the degraded, sheltered, leeward fringing reef consistently had the longest residence times, suggesting this area is more exposed to land-based sources of pollution. Strong wind forcing resulted in the longest residence times by pinning the water in the bay, whereas large wave forcing flushed the bay and resulted in the shortest residence times. The effect of these different forcings on residence times was fairly consistent across all reef geomorphic zones, with the shift from wind to wave forcing shortening mean residence times by approximately 50%. Although ecologically significant to the coral organisms in the nearshore reef zones, these shortened residence times were still 2–3 times longer than those associated with the seaward fringing reef across all forcing conditions, demonstrating how the geomorphology of a reef environment sets a first-order control on reef health.
","language":"English","publisher":"Springer","doi":"10.1007/s00338-018-1671-4","usgsCitation":"Storlazzi, C., Cheriton, O., Messina, A.M., and Biggs, T.W., 2018, Meteorologic, oceanographic, and geomorphic controls on circulation and residence time in a coral reef-lined embayment: Faga’alu Bay, American Samoa: Coral Reefs, v. 37, no. 2, p. 457-469, https://doi.org/10.1007/s00338-018-1671-4.","productDescription":"13 p.","startPage":"457","endPage":"469","ipdsId":"IP-069737","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468706,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/59603","text":"External Repository"},{"id":356953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"American Samoa, Faga’alu Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -170.68531036376953,\n -14.295990960212052\n ],\n [\n -170.67466735839844,\n -14.295990960212052\n ],\n [\n -170.67466735839844,\n -14.28601000627395\n ],\n [\n -170.68531036376953,\n -14.28601000627395\n ],\n [\n -170.68531036376953,\n -14.295990960212052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-03-02","publicationStatus":"PW","scienceBaseUri":"5b98a2bbe4b0702d0e842fcb","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":743891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136 ocheriton@usgs.gov","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":5476,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia M.","email":"ocheriton@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":743892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Messina, A. M.","contributorId":207474,"corporation":false,"usgs":false,"family":"Messina","given":"A.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biggs, Trent W.","contributorId":187592,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","email":"","middleInitial":"W.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":743894,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201090,"text":"70201090 - 2018 - Flood effects on soil thermal regimes in contrasting cold‐desert river floodplains (Yampa and Green rivers, Colorado)","interactions":[],"lastModifiedDate":"2018-11-28T11:00:18","indexId":"70201090","displayToPublicDate":"2018-06-01T11:00:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Flood effects on soil thermal regimes in contrasting cold‐desert river floodplains (Yampa and Green rivers, Colorado)","docAbstract":"Heat transfer theory suggests that floodplain soils in dryland riverine ecosystems can be cooled by hyporheic flows generated during spring floods. I compared soil temperature cycles and associated hydrologic factors on a free‐flowing river to those on a river where flows and surface water temperatures are now regulated. Spring surface water temperatures were comparable on the 2 rivers, as was apparent diffusivity of the soil under mature Populus fremontii in a year when severe drought produced similar soil moisture regimes. Over 9 years of monitoring, mean annual maximum soil temperature was higher on the regulated river than on the free‐flowing river (10 cm depth: 33 vs. 23 °C; 40 cm depth: 30 vs. 20°C, respectively), and sinusoidal models of the annual temperature cycle at each depth indicated higher means and greater amplitudes on the regulated river. The annual maximum soil temperature was inversely related to peak flood discharge on the free‐flowing river but not on the regulated river. Temporal shifts in the lag between diel cycles at 40 and 10 cm depths—an index of soil thermal diffusivity—suggested that the capillary fringe is strongly involved in heat exchange. An increase in the lag during some water table declines suggested that shallow soils may undergo flood‐induced evaporative cooling. Hyporheic recharge can be an ecologically important determinant of growing‐season soil temperatures at plant rooting depth in dryland river floodplains. Reductions in spring flood magnitude due to river regulation, water abstraction, or climate change can increase these temperatures and thereby alter ecosystem structure and functioning.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.1939","usgsCitation":"Andersen, D.C., 2018, Flood effects on soil thermal regimes in contrasting cold‐desert river floodplains (Yampa and Green rivers, Colorado): Ecohydrology, v. 11, no. 4, p. 1-17, https://doi.org/10.1002/eco.1939.","productDescription":"e1939; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-078853","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":359759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Green River, Yampa River","volume":"11","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-29","publicationStatus":"PW","scienceBaseUri":"5bffb75de4b0815414ca8e4d","contributors":{"authors":[{"text":"Andersen, Douglas C. 0000-0001-9040-0654 doug_andersen@usgs.gov","orcid":"https://orcid.org/0000-0001-9040-0654","contributorId":210853,"corporation":false,"usgs":true,"family":"Andersen","given":"Douglas","email":"doug_andersen@usgs.gov","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":752377,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202651,"text":"70202651 - 2018 - A multi-species synthesis of satellite telemetry data in the Pacific Arctic (1987–2015): Overlap of marine mammal distributions and core use areas","interactions":[],"lastModifiedDate":"2019-03-15T10:55:23","indexId":"70202651","displayToPublicDate":"2018-06-01T10:55:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"A multi-species synthesis of satellite telemetry data in the Pacific Arctic (1987–2015): Overlap of marine mammal distributions and core use areas","docAbstract":"We collated available satellite telemetry data for six species of ice-associated marine mammals in the Pacific Arctic: ringed seals (Pusa hispida; n = 118), bearded seals(Erignathus barbatus, n = 51), spotted seals (Phoca largha, n = 72), Pacific walruses (Odobenus rosmarus divergens, n = 389); bowhead whales (Balaena mysticetus, n = 46), and five Arctic and sub-arctic stocks of beluga whales (Delphinapterus leucas, n = 103). We also included one seasonal resident, eastern North Pacific gray whales (Eschrichtius robustus, n = 12). This review summarized the distribution of daily locations from satellite-linked transmitters during two analysis periods, summer (May–November) and winter (December–April), and then examined the overlap among species. Six multi-species core use areas were identified during the summer period: 1) Chukotka/Bering Strait; 2) Norton Sound; 3) Kotzebue Sound; 4) the northeastern Chukchi Sea; 5) Mackenzie River Delta/Amundsen Gulf; and 6) Viscount Melville Sound. During the winter period, we identified four multi-species core use areas: 1) Anadyr Gulf/Strait; 2) central Bering Sea; 3) Nunivak Island; and 4) Bristol Bay. During the summer period, four of the six areas were centered on the greater Bering Strait region and the northwestern coast of Alaska and included most of the species we examined. The two remaining summer areas were in the western Canadian Arctic and were largely defined by the seasonal presence of Bering-Chukchi-Beaufort stock bowhead whales and Eastern Beaufort Sea stock beluga whales, whose distribution overlapped during both summer and winter periods. During the winter period, the main multi-species core use area was located near the Gulf of Anadyr and extended northwards through Anadyr and Bering Straits. This area is contained within the Bering Sea “green belt”, an area of enhanced primary and secondary productivity in the Bering Sea. We also described available telemetry data and where they can be found as of 2017. These data are important for understanding ice-associated marine mammal movements and habitat use in the Pacific Arctic and should be archived, with appropriate metadata, to ensure they are available for future retrospective analyses.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2018.02.006","usgsCitation":"Citta, J.J., Lowry, L., Quakenbush, L.T., Kelly, B.P., Fischbach, A., London, J.M., Jay, C.V., Frost, K.J., Crowe, G.O., Crawford, J.A., Boveng, P.L., Cameron, M., Von Duyke, A.L., Nelson, M., Harwood, L.A., Richard, P., Suydam, R., Heide-Jorgensen, M.P., Hobbs, R.C., Litovka, D.I., Marcoux, M., Whiting, A., Kennedy, A.S., George, J., Orr, J., and Gray, T., 2018, A multi-species synthesis of satellite telemetry data in the Pacific Arctic (1987–2015): Overlap of marine mammal distributions and core use areas: Deep Sea Research Part II: Topical Studies in Oceanography, v. 152, p. 132-153, https://doi.org/10.1016/j.dsr2.2018.02.006.","productDescription":"22 p.","startPage":"132","endPage":"153","ipdsId":"IP-086975","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":468707,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2018.02.006","text":"Publisher Index Page"},{"id":437885,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VH5N43","text":"USGS data release","linkHelpText":"Pacific Walrus Seasonal Distribution from USGS Tracking Data, Chukchi and Bering Seas, 1987-2015"},{"id":362094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"152","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Citta, John J.","contributorId":175350,"corporation":false,"usgs":false,"family":"Citta","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":759348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowry, Lloyd F.","contributorId":214202,"corporation":false,"usgs":false,"family":"Lowry","given":"Lloyd F.","affiliations":[{"id":38991,"text":"University of Alaska, School of Fisheries and Ocean Science","active":true,"usgs":false}],"preferred":false,"id":759349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quakenbush, Lori T.","contributorId":192737,"corporation":false,"usgs":false,"family":"Quakenbush","given":"Lori","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":759350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Brendan P.","contributorId":214203,"corporation":false,"usgs":false,"family":"Kelly","given":"Brendan","email":"","middleInitial":"P.","affiliations":[{"id":38992,"text":"International Arctic Research Center, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":759351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":759347,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"London, Josh M.","contributorId":214204,"corporation":false,"usgs":false,"family":"London","given":"Josh","email":"","middleInitial":"M.","affiliations":[{"id":38993,"text":"Marine Mammal Laboratory, Alaska Fisheries Science Center, National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":759352,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 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Devonian rocky shoreline depositional environment, East Lime Creek Conglomerate, south‐western Colorado, USA","interactions":[],"lastModifiedDate":"2018-11-20T10:50:59","indexId":"70200979","displayToPublicDate":"2018-06-01T10:50:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5781,"text":"The Depositional Record","active":true,"publicationSubtype":{"id":10}},"title":"Processes and facies relationships in a Lower(?) Devonian rocky shoreline depositional environment, East Lime Creek Conglomerate, south‐western Colorado, USA","docAbstract":"Rocky shorelines are relatively common features along modern coastlines, but few have been recognized in the geological record. The hard substrates of rocky shorelines telescope the width of offshore marine environments, thus the diagnostic deposits observed in such settings today have a low preservation potential due to small accommodation space and high‐energy conditions. This study recognized previously overlooked, laterally extensive Lower(?) Devonian rocky shoreline deposits in the San Juan Mountains of south‐western Colorado. The newly defined lithostratigraphic unit, the East Lime Creek Conglomerate (ELCC), is 0–23 m thick, unconformably overlying Proterozoic crystalline rocks and unconformably overlain by the Upper Devonian Ignacio Formation and/or Elbert Formation. The unit mostly consists of clast‐supported cobble‐boulder conglomerate with rounded quartzite clasts up to 1.4 m in length interbedded with thin sandstone layers and lenses. Sandstones in the ELCC are distinguished from unconformably overlying Upper Devonian sedimentary rocks because they have sericite cements. Most importantly, there are buttressing relationships between the ELCC and underlying Proterozoic crystalline rocks interpreted as palaeo‐sea cliffs, palaeo‐wave‐cut platforms and palaeo‐tombolos. A proposed rocky shoreline facies model includes headlands with upper shoreface‐beachface tabular cobble‐boulder gravels sourced from rock fall talus, nearshore subaqueous debris‐flow deposits and intervening pocket beaches with imbricated, stratified pebble‐cobble gravel sheets. Palaeocurrent data (n = 338) from clast long‐axis orientations, imbrication and cross‐bedding indicate south‐to‐north transport roughly onshore‐offshore to a coastline consisting of alternating rocky headlands and pocket beaches. This Lower(?) Devonian unit documents a previously unrecognized episode in the geological history of south‐western Colorado.
","language":"English","publisher":"Wiley","doi":"10.1002/dep2.41","usgsCitation":"Evans, J.E., and Holm-Denoma, C.S., 2018, Processes and facies relationships in a Lower(?) Devonian rocky shoreline depositional environment, East Lime Creek Conglomerate, south‐western Colorado, USA: The Depositional Record, v. 4, no. 1, p. 133-156, https://doi.org/10.1002/dep2.41.","productDescription":"24 p.","startPage":"133","endPage":"156","ipdsId":"IP-090285","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":468708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/dep2.41","text":"Publisher Index Page"},{"id":359601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108,\n 37.25\n ],\n [\n -107.5,\n 37.25\n ],\n [\n -107.5,\n 37.88027325525864\n ],\n [\n -108,\n 37.88027325525864\n ],\n [\n -108,\n 37.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-14","publicationStatus":"PW","scienceBaseUri":"5bf52b69e4b045bfcae2800c","contributors":{"authors":[{"text":"Evans, James E.","contributorId":194435,"corporation":false,"usgs":false,"family":"Evans","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":751544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751543,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200935,"text":"70200935 - 2018 - Wildland–urban interface residents’ relationships with wildfire: Variation within and across communities","interactions":[],"lastModifiedDate":"2018-11-16T10:49:16","indexId":"70200935","displayToPublicDate":"2018-06-01T10:49:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Wildland–urban interface residents’ relationships with wildfire: Variation within and across communities","docAbstract":"Social science offers rich descriptions of relationships between wildland–urban interface residents and wildfire, but syntheses across different contexts might gloss over important differences. We investigate the potential extent of such differences using data collected consistently in sixty-eight Colorado communities and hierarchical modeling. We find substantial variation across responses for all considered measures, much of which occurs at the community-level. Our results show that many aspects of relationships with wildfire meaningfully differ both within and across communities. Our analysis suggests that some wildfire social science results will be relatively consistent across communities, whereas others will not, and this study contributes evidence to broader efforts for understanding which is which. As such, it provides important guidance for transferring the lessons of wildfire social science studies across contexts, and for practitioners who seek to understand the breadth of viewpoints within the communities with which they work.
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mission during non-targeted flybys. We used the new Mimas images to improve the existing semi-controlled mosaic of Mimas. A new controlled Enceladus mosaic was published recently (Bland et al., 2015; Bland et al. in prep.). Both new mosaics are the baseline for improved atlases of Mimas in three tiles with a map scale of 1:1,000,000 and Enceladus in 15 tiles with a map scale of 1:400,000. The nomenclature for both satellites was proposed by the Cassini-ISS team and approved by the IAU.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.pss.2018.05.021","usgsCitation":"Roatsch, T., Kersten, E., Matz, K., Bland, M.T., Becker, T.L., Patterson, G.W., and Porco, C., 2018, Final Mimas and Enceladus atlases derived from Cassini-ISS images: Planetary and Space Sciences, v. 164, p. 13-18, https://doi.org/10.1016/j.pss.2018.05.021.","productDescription":"6 p.","startPage":"13","endPage":"18","ipdsId":"IP-096730","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":377570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Enceladus, Mimas","volume":"164","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roatsch, Thomas","contributorId":238752,"corporation":false,"usgs":false,"family":"Roatsch","given":"Thomas","email":"","affiliations":[{"id":47753,"text":"Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kersten, E.","contributorId":238753,"corporation":false,"usgs":false,"family":"Kersten","given":"E.","email":"","affiliations":[{"id":47753,"text":"Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matz, K.-D.","contributorId":238754,"corporation":false,"usgs":false,"family":"Matz","given":"K.-D.","affiliations":[{"id":47753,"text":"Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":796477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Becker, Tammy L. 0000-0002-0982-2102 tbecker@usgs.gov","orcid":"https://orcid.org/0000-0002-0982-2102","contributorId":238723,"corporation":false,"usgs":true,"family":"Becker","given":"Tammy","email":"tbecker@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":796478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patterson, Gerald Wesley","contributorId":238755,"corporation":false,"usgs":false,"family":"Patterson","given":"Gerald","email":"","middleInitial":"Wesley","affiliations":[{"id":47754,"text":"Applied Physics Laboratory, John Hopkins University, Laurel, MD","active":true,"usgs":false}],"preferred":false,"id":796479,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Porco, C.","contributorId":238756,"corporation":false,"usgs":false,"family":"Porco","given":"C.","affiliations":[{"id":47755,"text":"CICLOPS, Space Science Institute, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":796480,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70200813,"text":"70200813 - 2018 - Environmental controls on the geochemistry of Globorotalia truncatulinoides in the Gulf of Mexico: Implications for paleoceanographic reconstructions","interactions":[],"lastModifiedDate":"2018-11-13T13:44:46","indexId":"70200813","displayToPublicDate":"2018-06-01T09:27:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental controls on the geochemistry of Globorotalia truncatulinoides in the Gulf of Mexico: Implications for paleoceanographic reconstructions","title":"Environmental controls on the geochemistry of Globorotalia truncatulinoides in the Gulf of Mexico: Implications for paleoceanographic reconstructions","docAbstract":"Modern observations of planktic foraminifera from sediment trap studies help to constrain the regional ecology of paleoceanographically valuable species. Results from a weekly-resolved sediment trap time series (2008–2014) in the northern Gulf of Mexico demonstrate that 92% of Globorotalia truncatulinoides flux occurs in winter (January, February, and March), and that encrusted and non-encrusted individuals represent calcification in distinct depth habitats. We use individual foraminiferal analysis (IFA) of G. truncatulinoides tests to investigate differences in the elemental (Mg/Ca) and isotopic composition (δ18O and δ13C) of the encrusted and non-encrusted ontogenetic forms of G. truncatulinoides, and to estimate their calcification depth in the northern Gulf of Mexico. We estimate that non-encrusted and encrusted G. truncatulinoides have mean calcification depths of 66 ± 9 m and 379 ± 76 m, respectively. We validate the Mg/Ca-calcification temperature relationship for G. truncatulinoides and demonstrate that the δ18O and Mg/Ca of the non-encrusted form is a suitable proxy for winter surface mixed layer conditions in the Gulf of Mexico. Care should be taken not to combine encrusted and non-encrusted individuals of G. truncatulinoides for down core paleoceanographic studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2018.05.006","usgsCitation":"Reynolds, C.E., Richey, J.N., Fehrenbacher, J.S., Rosenheim, B.E., and Spero, H., 2018, Environmental controls on the geochemistry of Globorotalia truncatulinoides in the Gulf of Mexico: Implications for paleoceanographic reconstructions: Marine Micropaleontology, v. 142, p. 92-104, https://doi.org/10.1016/j.marmicro.2018.05.006.","productDescription":"13 p.","startPage":"92","endPage":"104","ipdsId":"IP-094392","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1548122","text":"Publisher Index Page"},{"id":359219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":750820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fehrenbacher, Jennifer S.","contributorId":204635,"corporation":false,"usgs":false,"family":"Fehrenbacher","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[{"id":6702,"text":"College of Earth, Ocean and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":750821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenheim, Brad E.","contributorId":150227,"corporation":false,"usgs":false,"family":"Rosenheim","given":"Brad","email":"","middleInitial":"E.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":750822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spero, Howard J.","contributorId":204636,"corporation":false,"usgs":false,"family":"Spero","given":"Howard J.","affiliations":[{"id":33664,"text":"Department of Earth and Planetary Sciences, University of California Davis","active":true,"usgs":false}],"preferred":false,"id":750823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255616,"text":"70255616 - 2018 - Prediction uncertainty and data worth assessment for groundwater transport times in an agricultural catchment","interactions":[],"lastModifiedDate":"2024-06-26T13:22:26.75759","indexId":"70255616","displayToPublicDate":"2018-06-01T08:11:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Prediction uncertainty and data worth assessment for groundwater transport times in an agricultural catchment","docAbstract":"Uncertainties about the age of base-flow discharge can have serious implications for the management of degraded environmental systems where subsurface pathways, and the ongoing release of pollutants that accumulated in the subsurface during past decades, dominate the water quality signal. Numerical groundwater models may be used to estimate groundwater return times and base-flow ages and thus predict the time required for stakeholders to see the results of improved agricultural management practices. However, the uncertainty inherent in the relationship between (i) the observations of atmospherically-derived tracers that are required to calibrate such models and (ii) the predictions of system age that the observations inform have not been investigated. For example, few if any studies have assessed the uncertainty of numerically-simulated system ages or evaluated the uncertainty reductions that may result from the expense of collecting additional subsurface tracer data. In this study we combine numerical flow and transport modeling of atmospherically-derived tracers with prediction uncertainty methods to accomplish four objectives. First, we show the relative importance of head, discharge, and tracer information for characterizing response times in a uniquely data rich catchment that includes 266 age-tracer measurements (SF6, CFCs, and 3H) in addition to long term monitoring of water levels and stream discharge. Second, we calculate uncertainty intervals for model-simulated base-flow ages using both linear and non-linear methods, and find that the prediction sensitivity vector used by linear first-order second-moment methods results in much larger uncertainties than non-linear Monte Carlo methods operating on the same parameter uncertainty. Third, by combining prediction uncertainty analysis with multiple models of the system, we show that data-worth calculations and monitoring network design are sensitive to variations in the amount of water leaving the system via stream discharge and irrigation withdrawals. Finally, we demonstrate a novel model-averaged computation of potential data worth that can account for these uncertainties in model structure.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.02.006","usgsCitation":"Zell, W.O., Culver, T.B., and Sanford, W.E., 2018, Prediction uncertainty and data worth assessment for groundwater transport times in an agricultural catchment: Journal of Hydrology, v. 561, p. 1019-1036, https://doi.org/10.1016/j.jhydrol.2018.02.006.","productDescription":"18 p.","startPage":"1019","endPage":"1036","ipdsId":"IP-088953","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":430519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Morgan Creek, Upper Chester watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76,\n 39.333\n ],\n [\n -76,\n 39.25\n ],\n [\n -75.916667,\n 39.25\n ],\n [\n -75.916667,\n 39.333\n ],\n [\n -76,\n 39.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"561","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zell, Wesley O. 0000-0002-8782-6627","orcid":"https://orcid.org/0000-0002-8782-6627","contributorId":339721,"corporation":false,"usgs":true,"family":"Zell","given":"Wesley","email":"","middleInitial":"O.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":904939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Teresa B.","contributorId":339727,"corporation":false,"usgs":false,"family":"Culver","given":"Teresa","email":"","middleInitial":"B.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":904940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":904941,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70245130,"text":"70245130 - 2018 - Actinemys marmorata (Western Pond Turtle): Suspected predation/scavenging","interactions":[],"lastModifiedDate":"2023-06-16T12:51:20.498261","indexId":"70245130","displayToPublicDate":"2018-06-01T07:30:11","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Actinemys marmorata (Western Pond Turtle): Suspected predation/scavenging","docAbstract":"No abstract available.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Agha, M., Todd, B., Skalos, S., Falcon, M.J., Casazza, M.L., and Wang, O., 2018, Actinemys marmorata (Western Pond Turtle): Suspected predation/scavenging: Herpetological Review, v. 49, no. 2, p. 313-314.","productDescription":"2 p.","startPage":"313","endPage":"314","ipdsId":"IP-101204","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":418159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418145,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"country":"United States","state":"California","county":"Solano County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.89120,\n 38.10490\n ],\n [\n -121.89120,\n 38.10488\n ],\n [\n -121.89118,\n 38.10488\n ],\n [\n -121.89118,\n 38.10490\n ],\n [\n -121.89120,\n 38.10490\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":875612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Brian D.","contributorId":196261,"corporation":false,"usgs":false,"family":"Todd","given":"Brian D.","affiliations":[{"id":6961,"text":"Department of Wildlife, Fish & Conservation Biology, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":875613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalos, Shannon 0000-0003-1229-8580 sskalos@usgs.gov","orcid":"https://orcid.org/0000-0003-1229-8580","contributorId":167191,"corporation":false,"usgs":true,"family":"Skalos","given":"Shannon","email":"sskalos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcon, Matthew J.","contributorId":260146,"corporation":false,"usgs":false,"family":"Falcon","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":39913,"text":"former WERC","active":true,"usgs":false}],"preferred":false,"id":875615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Olivia","contributorId":260147,"corporation":false,"usgs":false,"family":"Wang","given":"Olivia","email":"","affiliations":[{"id":52524,"text":"University of California, Davis, Department of Animal Science, 1 Shields Avenue, Davis, CA 95616, USA (SS, OW, JH)","active":true,"usgs":false}],"preferred":false,"id":875617,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197446,"text":"70197446 - 2018 - Estimation of stream conditions in tributaries of the Klamath River, northern California","interactions":[],"lastModifiedDate":"2018-06-12T11:11:00","indexId":"70197446","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5708,"text":"Arcata Fisheries Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"TR 2018-32","title":"Estimation of stream conditions in tributaries of the Klamath River, northern California","docAbstract":"Because of their critical ecological role, stream temperature and discharge are requisite inputs for models of salmonid population dynamics. Coho Salmon inhabiting the Klamath Basin spend much of their freshwater life cycle inhabiting tributaries, but environmental data are often absent or only seasonally available at these locations. To address this information gap, we constructed daily averaged water temperature models that used simulated meteorological data to estimate daily tributary temperatures, and we used flow differentials recorded on the mainstem Klamath River to estimate daily tributary discharge.\n\nObserved temperature data were available for fourteen of the major salmon bearing tributaries, which enabled estimation of tributary-specific model parameters at those locations. Water temperature data from six mid-Klamath Basin tributaries were used to estimate a global set of parameters for predicting water temperatures in the remaining tributaries. The resulting parameter sets were used to simulate water temperatures for each of 75 tributaries from 1980-2015. Goodness-of-fit statistics computed from a cross-validation analysis demonstrated a high precision of the tributary-specific models in predicting temperature in unobserved years and of the global model in predicting temperatures in unobserved streams.\n\nKlamath River discharge has been monitored by four gages that broadly intersperse the 292 kilometers from the Iron Gate Dam to the Klamath River mouth. These gages defined the upstream and downstream margins of three reaches. Daily discharge of tributaries within a reach was estimated from 1980-2015 based on drainage-area proportionate allocations of the discharge differential between the upstream and downstream margin. Comparisons with measured discharge on Indian Creek, a moderate-sized tributary with naturally regulated flows, revealed that the estimates effectively approximated both the variability and magnitude of discharge.","language":"English","publisher":"U.S. Fish and Wildlife Service. Arcata Fish and Wildlife Office","usgsCitation":"Manhard, C.V., Som, N.A., Jones, E.C., and Perry, R.W., 2018, Estimation of stream conditions in tributaries of the Klamath River, northern California: Arcata Fisheries Technical Report TR 2018-32, vi, 28 p.","productDescription":"vi, 28 p.","numberOfPages":"34","ipdsId":"IP-088667","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":354934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354703,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/arcata/fisheries/reports/technical/2018/EstimationofStreamConditionsinTributariesoftheKlamathRiverNorthernCalifornia.pdf"}],"country":"United States","state":"California","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.667,\n 41\n ],\n [\n -122.3333,\n 41\n ],\n [\n -122.3333,\n 42\n ],\n [\n -123.667,\n 42\n ],\n [\n -123.667,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a9","contributors":{"authors":[{"text":"Manhard, Christopher V.","contributorId":203911,"corporation":false,"usgs":false,"family":"Manhard","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":36754,"text":"U.S. Fish and Wildlife Service, California Cooperative Fish and Wildlife Research Unit, Humboldt State University, 1 Harpst Street, Arcata, CA 95521, USA","active":true,"usgs":false}],"preferred":false,"id":737185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":737186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Edward C. 0000-0001-7255-1475 ejones@usgs.gov","orcid":"https://orcid.org/0000-0001-7255-1475","contributorId":203917,"corporation":false,"usgs":true,"family":"Jones","given":"Edward","email":"ejones@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737184,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197125,"text":"70197125 - 2018 - World distribution of uranium deposits","interactions":[],"lastModifiedDate":"2018-06-12T11:33:29","indexId":"70197125","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"World distribution of uranium deposits","docAbstract":"Deposit data derived from IAEA UDEPO (http://infcis.iaea.org/UDEPO/About.cshtml) database with assistance from P. Bruneton (France) and M. Mihalasky (U.S.A.). The map is an updated companion to \"World Distribution of Uranium Deposits (UDEPO) with Uranium Deposit Classification, IAEA Tech-Doc-1629\".\n\nGeology was derived from L.B. Chorlton, Generalized Geology of the World, Geological Survey of Canada, Open File 5529 , 2007.\n\nMap production by M.C. Fairclough (IAEA), J.A. Irvine (Austrailia), L.F. Katona (Australia) and W.L. Slimmon (Canada). World Distribution of Uranium Deposits, International Atomic Energy Agency, Vienna, Austria. Cartographic Assistance was supplied by the Geological Survey of South Australia, the Saskatchewan Geological Survey and United States Geological Survey to the IAEA.\n\nCoastlines, drainage, and country boundaries were obtained from ArcMap, 1:25 000 000 scale, and are copyrighted data containing the intellectual property of Environmental Systems Research Institute (ESRI). The use of particular designations of countries or territories does not imply any judgment by the publisher, the IAEA, as to the legal status of such countries or territories, of their authorities and institutions or of the delimitation of their boundaries.\n\nAny revisions or additional geological information known to the user would be welcomed by the International Atomic Energy Agency and the Geological Survey of Canada.","language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna, Austria","usgsCitation":"Fairclough, M.C., Irvine, J.A., Katona, L.F., Simmon, W.L., Bruneton, P., Mihalasky, M.J., Cuney, M., Aranha, M., Pylypenko, O., and Poliakovska, K., 2018, World distribution of uranium deposits (Second Edition), 46.81 x 33.11 inches.","productDescription":"46.81 x 33.11 inches","ipdsId":"IP-089497","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354940,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/IAEABooks/12314/World-Distribution-of-Uranium-Deposits-Second-Edition"}],"edition":"Second Edition","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e578e4b060350a15d1af","contributors":{"authors":[{"text":"Fairclough, M. C.","contributorId":205544,"corporation":false,"usgs":false,"family":"Fairclough","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, J. A.","contributorId":205545,"corporation":false,"usgs":false,"family":"Irvine","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katona, L. F.","contributorId":205546,"corporation":false,"usgs":false,"family":"Katona","given":"L.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":737715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmon, W. L.","contributorId":205547,"corporation":false,"usgs":false,"family":"Simmon","given":"W.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":737716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bruneton, P.","contributorId":205548,"corporation":false,"usgs":false,"family":"Bruneton","given":"P.","email":"","affiliations":[],"preferred":false,"id":737717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":737718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cuney, M.","contributorId":205549,"corporation":false,"usgs":false,"family":"Cuney","given":"M.","email":"","affiliations":[],"preferred":false,"id":737719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aranha, M.","contributorId":205550,"corporation":false,"usgs":false,"family":"Aranha","given":"M.","affiliations":[],"preferred":false,"id":737720,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pylypenko, O.","contributorId":205551,"corporation":false,"usgs":false,"family":"Pylypenko","given":"O.","email":"","affiliations":[],"preferred":false,"id":737721,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poliakovska, K.","contributorId":205552,"corporation":false,"usgs":false,"family":"Poliakovska","given":"K.","email":"","affiliations":[],"preferred":false,"id":737722,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70197402,"text":"70197402 - 2018 - The influence of drought on flow‐ecology relationships in Ozark Highland streams","interactions":[],"lastModifiedDate":"2018-07-24T10:02:57","indexId":"70197402","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of drought on flow‐ecology relationships in Ozark Highland streams","docAbstract":"Assessing nutrient stores in avian species is important for understanding the extent to which body condition influences success or failure in life‐history events. We evaluated predictive models using morphometric characteristics to estimate total body lipids (TBL) and total body protein (TBP), based on traditional proximate analyses, in spring migrating lesser snow geese (Anser caerulescens caerulescens) and Ross's geese (A. rossii). We also compared performance of our lipid model with a previously derived predictive equation for TBL developed for nesting lesser snow geese. We used external and internal measurements on 612 lesser snow and 125 Ross's geese collected during spring migration in 2015 and 2016 within the Central and Mississippi flyways to derive and evaluate predictive models. Using a validation data set, our best performing lipid model for snow geese better predicted TBL (root mean square error [RMSE] of 23.56) compared with a model derived from nesting individuals (RMSE = 48.60), suggesting the importance of season‐specific models for accurate lipid estimation. Models that included body mass and abdominal fat deposit best predicted TBL determined by proximate analysis in both species (lesser snow goose, R2 = 0.87, RMSE = 23.56: Ross's geese, R2 = 0.89, RMSE = 13.75). Models incorporating a combination of external structural measurements in addition to internal muscle and body mass best predicted protein values (R2 = 0.85, RMSE = 19.39 and R2 = 0.85, RMSE = 7.65, lesser snow and Ross's geese, respectively), but protein models including only body mass and body size were also competitive and provided extended utility to our equations for field applications. Therefore, our models indicated the importance of specimen dissection and measurement of the abdominal fat pad to provide the most accurate lipid estimates and provide alternative dissection‐free methods for estimating protein.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.867","usgsCitation":"Webb, E.B., Fowler, D.N., Woodall, B.A., and Vrtiska, M.P., 2018, Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration: Wildlife Society Bulletin, v. 42, no. 2, p. 295-303, https://doi.org/10.1002/wsb.867.","productDescription":"9 p.","startPage":"295","endPage":"303","ipdsId":"IP-086754","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499991,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b506db9d3c3242bc8767f8d690d7f8c1","text":"External Repository"},{"id":354662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Nebraska, South Dakota","volume":"42","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d6fe4b092d9651e1ae0","contributors":{"authors":[{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fowler, Drew N.","contributorId":205356,"corporation":false,"usgs":false,"family":"Fowler","given":"Drew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":737053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Brendan A.","contributorId":205358,"corporation":false,"usgs":false,"family":"Woodall","given":"Brendan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":737055,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197445,"text":"70197445 - 2018 - Estimating freshwater productivity, overwinter survival, and migration patterns of Klamath River Coho Salmon","interactions":[],"lastModifiedDate":"2018-06-12T11:03:14","indexId":"70197445","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5708,"text":"Arcata Fisheries Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"TR 2018-33","title":"Estimating freshwater productivity, overwinter survival, and migration patterns of Klamath River Coho Salmon","docAbstract":"An area of great importance to resource management and conservation biology in the Klamath Basin is balancing water usage against the life history requirements of threatened Coho Salmon. One tool for addressing this topic is a freshwater dynamics model to forecast Coho Salmon productivity based on environmental inputs. Constructing such a forecasting tool requires local data to quantify the unique life history processes of Coho Salmon inhabiting this region. Here, we describe analytical methods for estimating a series of sub-models, each capturing a different life history process, which will eventually be synchronized as part of a freshwater dynamics model for Klamath River Coho Salmon. Specifically, we draw upon extensive population monitoring data collected in the basin to estimate models of freshwater productivity, overwinter survival, and migration patterns. Our models of freshwater productivity indicated that high summer temperatures and high winter flows can both adversely affect smolt production and that such relationships are more likely in tributaries with naturally regulated flows due to substantial intraannual environmental variation. Our models of overwinter survival demonstrated extensive variability in survival among years, but not among rearing locations, and demonstrated that a substantial proportion (~ 20%) of age-0+ fish emigrate from some rearing sites in the winter. Our models of migration patterns indicated that many age-0+ fish redistribute in the basin during the summer and winter. Further, we observed that these redistributions can entail long migrations in the mainstem where environmental stressors likely play a role in cueing refuge entry. Finally, our models of migration patterns indicated that changes in discharge are important in cueing the seaward migration of smolts, but that the nature of this behavioral response can differ dramatically between tributaries with naturally and artificially regulated flows. Collectively, these analyses demonstrate that environmental variation interacts with most phases of the freshwater life history of Klamath River Coho Salmon and that anthropogenic environmental variation can have a particularly large bearing on productivity.
","language":"English","publisher":"U.S. Fish and Wildlife Service, Arcata Fish and Wildlife Office","usgsCitation":"Manhard, C.V., Som, N.A., Perry, R.W., Faukner, J., and Soto, T., 2018, Estimating freshwater productivity, overwinter survival, and migration patterns of Klamath River Coho Salmon: Arcata Fisheries Technical Report TR 2018-33, x, 74 p.","productDescription":"x, 74 p.","numberOfPages":"84","ipdsId":"IP-088669","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":354933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354702,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/arcata/fisheries/reports/technical/2018/EstimatingFreshwaterProductivityOverwinterSurvivalandMigrationPatternsofKlamathRiverCohoSalmon.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1ab","contributors":{"authors":[{"text":"Manhard, Christopher V.","contributorId":203911,"corporation":false,"usgs":false,"family":"Manhard","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":36754,"text":"U.S. Fish and Wildlife Service, California Cooperative Fish and Wildlife Research Unit, Humboldt State University, 1 Harpst Street, Arcata, CA 95521, USA","active":true,"usgs":false}],"preferred":false,"id":737180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":737181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faukner, Jimmy","contributorId":205405,"corporation":false,"usgs":false,"family":"Faukner","given":"Jimmy","email":"","affiliations":[{"id":37098,"text":"Yurok Tribal Fisheries Program","active":true,"usgs":false}],"preferred":false,"id":737182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soto, Toz","contributorId":205406,"corporation":false,"usgs":false,"family":"Soto","given":"Toz","email":"","affiliations":[{"id":37099,"text":"Karuk Tribe Fisheries Program","active":true,"usgs":false}],"preferred":false,"id":737183,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197950,"text":"70197950 - 2018 - Ecological resilience indicators for salt marsh ecosystems","interactions":[],"lastModifiedDate":"2018-07-02T11:35:34","indexId":"70197950","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Ecological resilience indicators for salt marsh ecosystems","docAbstract":"Salt marshes are coastal ecosystems within the intertidal zone, characterized by hypoxic, saline, soil conditions and low biodiversity. Low diversity arises from frequent disturbance and stressful conditions (i.e., high salinity and hypoxia), where vegetative reproduction and low competition result in mostly monotypic stands, with some differences in plant community influenced by flooding regime (described below). While there are several types of salt marshes in the Northern Gulf of Mexico (NGoM), ranging from low to high salt marshes and salt flats (Tiner, 2013), Spartina alterniflora–dominated salt marshes in the Coastal and Marine Ecological Classification Standard (CMECS) Low and Intermediate Salt Marsh Biotic Group (FGDC, 2012) are the most extensive and are the focus of this project. These salt marshes are classified as “Gulf Coast Cordgrass Salt Marsh” (CEGL004190; USNVC, 2016). Within the NGoM region, some salt marsh areas are dominated by other species such as Spartina patens and Juncus roemerianus, which both occupy higher elevations in high-precipitation zones (e.g., Louisiana, Alabama, Mississippi, and Florida). In lower precipitation regions (southern Texas), hypersaline conditions often develop yielding communities of succulent salt marsh plants (Batis and Salicornia spp.). In climatic zones with warmer winter temperatures, temperate salt marshes naturally transition to mangrove (generally in the southern Gulf of Mexico range) or, in areas with lower precipitation, to salt flats (generally in western part of the study area).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Ecological resilience indicators for five northern Gulf of Mexico ecosystems","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"NatureServe","usgsCitation":"Allen, S.T., Stagg, C.L., Brenner, J., Goodin, K.L., Faber-Langendoen, D., Gabler, C., and Ames, K.W., 2018, Ecological resilience indicators for salt marsh ecosystems, 53 p.","productDescription":"53 p.","startPage":"37","endPage":"89","ipdsId":"IP-097740","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355399,"type":{"id":15,"text":"Index Page"},"url":"https://www.natureserve.org/biodiversity-science/publications/ecological-resilience-indicators-five-northern-gulf-mexico"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.96484375,\n 24.186847428521244\n ],\n [\n -79.65087890624999,\n 24.186847428521244\n ],\n [\n -79.65087890624999,\n 31.297327991404266\n ],\n [\n -98.96484375,\n 31.297327991404266\n ],\n [\n -98.96484375,\n 24.186847428521244\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e576e4b060350a15d199","contributors":{"authors":[{"text":"Allen, Scott T.","contributorId":168409,"corporation":false,"usgs":false,"family":"Allen","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":739294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenner, Jorge","contributorId":205829,"corporation":false,"usgs":false,"family":"Brenner","given":"Jorge","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":739295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodin, Kathleen L.","contributorId":206065,"corporation":false,"usgs":false,"family":"Goodin","given":"Kathleen","email":"","middleInitial":"L.","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":739296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faber-Langendoen, Don","contributorId":206066,"corporation":false,"usgs":false,"family":"Faber-Langendoen","given":"Don","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":739297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gabler, Christopher A.","contributorId":178709,"corporation":false,"usgs":false,"family":"Gabler","given":"Christopher A.","affiliations":[{"id":34767,"text":"School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley, Brownsville, Texas","active":true,"usgs":false}],"preferred":false,"id":739298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ames, Katherine Wirt","contributorId":205831,"corporation":false,"usgs":false,"family":"Ames","given":"Katherine","email":"","middleInitial":"Wirt","affiliations":[{"id":13088,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":739299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197803,"text":"70197803 - 2018 - Ecological resilience indicators for mangrove ecosystems","interactions":[],"lastModifiedDate":"2018-06-21T10:21:36","indexId":"70197803","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ecological resilience indicators for mangrove ecosystems","docAbstract":"Mangrove ecosystems are coastal wetland ecosystems dominated by mangrove species that are typically found in the intertidal zone, characterized by frequently flooded saline soil conditions. The majority of the approximately 500,000 acres of mangrove ecosystem in the United States occurs in the NGoM, and almost all of that is in Florida, with over 90 percent in the four southern counties of Lee, Collier, Miami-Dade, and Monroe. Scattered stands and individuals occur north and westward into Louisiana and Texas (Osland et al., 2016). The three common mangrove species are: black mangrove (Avicennia germinans), white mangrove (Laguncularia racemosa), and red mangrove (Rhizophora mangle). The mangrove system described in this project includes Tidal Mangrove Shrubland and Tidal Mangrove Forest as classified in CMECS (FGDC, 2012). It is classified as Caribbean Fringe Mangrove (G004) in the USNVC (2016), with a variety of distinct associations, based on species dominance and ecological setting.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecological Resilience Indicators for Five Northern Gulf of Mexico Ecosystems","language":"English","publisher":"NatureServe","usgsCitation":"Day, R.H., Allen, S.T., Brenner, J., Goodin, K., Faber-Langendoen, D., and Ames, K.W., 2018, Ecological resilience indicators for mangrove ecosystems, chap. of Ecological Resilience Indicators for Five Northern Gulf of Mexico Ecosystems, p. 91-150.","productDescription":"60 p.","startPage":"91","endPage":"150","ipdsId":"IP-098049","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355216,"type":{"id":15,"text":"Index Page"},"url":"https://www.natureserve.org/"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a1","contributors":{"authors":[{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":738580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Scott T.","contributorId":168409,"corporation":false,"usgs":false,"family":"Allen","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":738581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenner, Jorge","contributorId":205829,"corporation":false,"usgs":false,"family":"Brenner","given":"Jorge","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":738582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodin, Kathleen","contributorId":200274,"corporation":false,"usgs":false,"family":"Goodin","given":"Kathleen","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":738583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faber-Langendoen, Don","contributorId":205830,"corporation":false,"usgs":false,"family":"Faber-Langendoen","given":"Don","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":738584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ames, Katherine Wirt","contributorId":205831,"corporation":false,"usgs":false,"family":"Ames","given":"Katherine","email":"","middleInitial":"Wirt","affiliations":[{"id":13088,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":738585,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197465,"text":"70197465 - 2018 - Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area","interactions":[],"lastModifiedDate":"2018-06-06T11:01:01","indexId":"70197465","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area","docAbstract":"Mapping of vegetation types is of great importance to the San Carlos Apache Tribe and their management of forestry and fire fuels. Various remote sensing techniques were applied to classify multitemporal Landsat 8 satellite data, vegetation index, and digital elevation model data. A multitiered unsupervised classification generated over 900 classes that were then recoded to one of the 16 generalized vegetation/land cover classes using the Southwest Regional Gap Analysis Project (SWReGAP) map as a guide. A supervised classification was also run using field data collected in the SWReGAP project and our field campaign. Field data were gathered and accuracy assessments were generated to compare outputs. Our hypothesis was that a resulting map would update and potentially improve upon the vegetation/land cover class distributions of the older SWReGAP map over the 24,000 km2 study area. The estimated overall accuracies ranged between 43% and 75%, depending on which method and field dataset were used. The findings demonstrate the complexity of vegetation mapping, the importance of recent, high-quality-field data, and the potential for misleading results when insufficient field data are collected.
","language":"English","publisher":"SPIE","doi":"10.1117/1.JRS.12.026017","usgsCitation":"Norman, L.M., Middleton, B.R., and Wilson, N.R., 2018, Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area: Journal of Applied Remote Sensing, v. 12, no. 2, p. 1-19, https://doi.org/10.1117/1.JRS.12.026017.","productDescription":"Article 026017; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-093007","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468713,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1117/1.jrs.12.026017","text":"Publisher Index Page"},{"id":437886,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OCZ17X","text":"USGS data release","linkHelpText":"Vegetation Survey of the San Carlos Apache Reservation, Arizona and Surrounding Area (September to November 2017)."},{"id":354725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111,\n 32.5\n ],\n [\n -109,\n 32.5\n ],\n [\n -109,\n 34\n ],\n [\n -111,\n 34\n ],\n [\n -111,\n 32.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a5","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Barry R. 0000-0001-8924-4121 bmiddleton@usgs.gov","orcid":"https://orcid.org/0000-0001-8924-4121","contributorId":3947,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","email":"bmiddleton@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Natalie R. 0000-0001-5145-1221 nrwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":5770,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie","email":"nrwilson@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197968,"text":"70197968 - 2018 - Critically assessing the utility of portable lead analyzers for wildlife conservation","interactions":[],"lastModifiedDate":"2018-07-02T11:12:16","indexId":"70197968","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Critically assessing the utility of portable lead analyzers for wildlife conservation","docAbstract":"Lead (Pb) exposure in wildlife is a widespread management and conservation concern. Quantitative determination of Pb concentrations in wildlife tissues is the foundation for estimating exposure and risk. Development of low‐cost, portable instruments has improved access and cost‐effectiveness of determining Pb concentrations in blood samples, while also facilitating the ability for wildlife researchers to conduct near real‐time Pb testing. However, these instruments, which use anodic stripping voltammetry (ASV) methodology, may produce an analytical bias in wildlife‐blood Pb concentrations. Additionally, their simplicity invites use without appropriate quality‐assurance–quality‐control measures. Together, these factors can reduce data quality and hamper the ability to evaluate it, raising concerns about use of these instruments to inform important conservation issues. We document the extent to which this bias is addressed in the wildlife toxicology literature, develop quantitative approaches for correcting the bias, and provide recommendations to ensure robust data quality when using these instruments. Of the 25 studies we reviewed that referenced ASV use for determining Pb exposure in wildlife, only 32% acknowledged the existence of bias from the instrument. Importantly, another 20% of the studies actually reported ASV and spectroscopic‐based results together without acknowledging their lack of equivalence. Using a multispecies data set of avian blood Pb concentrations, we found that ASV‐based estimates of paired blood Pb concentrations were 30–38% lower than those from standard spectrometric‐based methods. We provide regression equations based on this analysis of 453 blood samples to allow users of ASV instruments to adjust Pb concentrations to spectrometric‐equivalent values, and propose a series of guidelines to follow when using these instruments to improve data validity.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.892","usgsCitation":"Herring, G., Eagles-Smith, C.A., Bedrosian, B., Craighead, D., Domenech, R., Langner, H.W., Parish, C.N., Shreading, A., Welch, A., and Wolstenholme, R., 2018, Critically assessing the utility of portable lead analyzers for wildlife conservation: Wildlife Society Bulletin, v. 42, no. 2, p. 284-294, https://doi.org/10.1002/wsb.892.","productDescription":"11 p.","startPage":"284","endPage":"294","ipdsId":"IP-092490","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488774,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.892","text":"Publisher Index Page"},{"id":355445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-15","publicationStatus":"PW","scienceBaseUri":"5b46e576e4b060350a15d197","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":739365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Bryan","contributorId":199738,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Bryan","affiliations":[{"id":35591,"text":"Teton Raptor Center","active":true,"usgs":false}],"preferred":false,"id":739366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craighead, Derek","contributorId":206080,"corporation":false,"usgs":false,"family":"Craighead","given":"Derek","email":"","affiliations":[{"id":6657,"text":"Craighead Beringia South","active":true,"usgs":false}],"preferred":false,"id":739367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Domenech, Robert","contributorId":199743,"corporation":false,"usgs":false,"family":"Domenech","given":"Robert","email":"","affiliations":[{"id":35594,"text":"Raptor View Research Institute","active":true,"usgs":false}],"preferred":false,"id":739423,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langner, Heiko W.","contributorId":206081,"corporation":false,"usgs":false,"family":"Langner","given":"Heiko","email":"","middleInitial":"W.","affiliations":[{"id":37234,"text":"King Adbdullah University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":739368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parish, Chris N.","contributorId":206082,"corporation":false,"usgs":false,"family":"Parish","given":"Chris","email":"","middleInitial":"N.","affiliations":[{"id":37235,"text":"The Peregrin Fund","active":true,"usgs":false}],"preferred":false,"id":739369,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shreading, Adam","contributorId":199745,"corporation":false,"usgs":false,"family":"Shreading","given":"Adam","email":"","affiliations":[{"id":35594,"text":"Raptor View Research Institute","active":true,"usgs":false}],"preferred":false,"id":739370,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welch, Alacia","contributorId":206083,"corporation":false,"usgs":false,"family":"Welch","given":"Alacia","email":"","affiliations":[{"id":37236,"text":"Pinnacles National Park","active":true,"usgs":false}],"preferred":false,"id":739371,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolstenholme, Rachel","contributorId":206084,"corporation":false,"usgs":false,"family":"Wolstenholme","given":"Rachel","email":"","affiliations":[{"id":37236,"text":"Pinnacles National Park","active":true,"usgs":false}],"preferred":false,"id":739372,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70197994,"text":"70197994 - 2018 - Trophic compression of lake food webs under hydrologic disturbance","interactions":[],"lastModifiedDate":"2018-07-05T10:26:37","indexId":"70197994","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Trophic compression of lake food webs under hydrologic disturbance","docAbstract":"The need to protect biostructure is increasingly recognized, yet empirical studies of how human exploits affect ecological networks are rare. Studying the effects of variation in human disturbance intensity from decades past can help us understand and anticipate ecosystem change under alleviated or amplified disturbance over decades to come. Here, we use stable isotopes and an innovative analytical approach to compare the food webs of two akin lake ecosystems subject to disparate water use regimes, a pervasive, yet unappreciated stressor. We show that intensive water use (persistent, early season, rapid lake‐level drawdown) can compress trophic diversity by 46%, necessitating reorganization of biostructural elements configuring lake food webs. Compression occurred over the δ13C axis indicating erosion of basal trophic diversity, but food chain length remained intact over the period and intensity of disturbance examined. This study demonstrates the potential for water use, like other disturbances (warming, eutrophication, and invasive species), to mute opportunity for benthic‐pelagic coupling and benefits to lake food webs and the inherent capacity of lake ecosystems to adapt to stress. Trophically compressed lakes may be less able to adapt to intensified water use.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2304","usgsCitation":"Hansen, A.G., Gardner, J.R., Connelly, K.A., Polacek, M., and Beauchamp, D.A., 2018, Trophic compression of lake food webs under hydrologic disturbance: Ecosphere, v. 9, no. 6, p. 1-11, https://doi.org/10.1002/ecs2.2304.","productDescription":"e02304; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-092639","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2304","text":"Publisher Index Page"},{"id":355499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-20","publicationStatus":"PW","scienceBaseUri":"5b46e575e4b060350a15d195","contributors":{"authors":[{"text":"Hansen, Adam G.","contributorId":197415,"corporation":false,"usgs":false,"family":"Hansen","given":"Adam","email":"","middleInitial":"G.","affiliations":[{"id":34919,"text":"Colorado Parks and Wildlife, 317 West Prospect Road, Fort Collins, Colorado 80526, USA","active":true,"usgs":false}],"preferred":false,"id":739520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Jennifer R.","contributorId":175505,"corporation":false,"usgs":false,"family":"Gardner","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":739521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connelly, Kristin A.","contributorId":174523,"corporation":false,"usgs":false,"family":"Connelly","given":"Kristin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":739522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Polacek, Matt","contributorId":206126,"corporation":false,"usgs":false,"family":"Polacek","given":"Matt","email":"","affiliations":[{"id":37251,"text":"Washington Department of Fish and Wildlife 317 1/2 North Pearl St., Suite 7, Ellensburg WA 98926","active":true,"usgs":false}],"preferred":false,"id":739523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":739519,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197407,"text":"70197407 - 2018 - Movement behavior preceding autumn mortality for white-tailed deer in central New York","interactions":[],"lastModifiedDate":"2018-06-01T09:08:06","indexId":"70197407","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Movement behavior preceding autumn mortality for white-tailed deer in central New York","docAbstract":"A common yet largely untested assumption in the theory of animal movements is that increased rates and a wider range of movements, such as occurs during breeding, make animals more vulnerable to mortality. We examined mortality among 34 white-tailed deer (Odocoileus virginianus) wearing GPS collars during the autumn breeding season of 2006 and 2007 in a heavily hunted, forest-agricultural landscape of central New York state. We evaluated whether individuals having higher rates of movement incurred higher rates of mortality and whether mortality risk was higher when deer were in less familiar areas. We used a Cox proportional hazards model to analyze how mortality risk changes with movement rates measured over 3 time periods: < 1 day, up to 2 weeks prior to death, and 3–4 weeks prior to death. Overall, deer increased their movement rates as autumn progressed, males more so than females. However, deer that died moved at a slower rate relative to surviving deer up to 2 weeks prior to death (ß = -2.22 ± 0.81; 95% confidence interval [CI] = -3.91 to -0.51) and a slower rate on their day of death compared to deer that survived (ß = -1.77 ± 0.73; 95% CI = -3.19 to -0.33). Site familiarity was not significantly related to mortality risk. Deer were equally likely to die within their 50% core use area as elsewhere within their autumn home range. We hypothesize that increased sociality associated with breeding may make animals more vulnerable to harvest mortality. Our findings contradict general assumptions about the influences of movement behavior on mortality risk, suggesting that patterns may be sensitive to the spatiotemporal context of the movement analysis.","language":"English","doi":"10.1093/jmammal/gyy023","usgsCitation":"Whitman, B.J., Porter, W.F., Dechen Quinn, A.C., Williams, D.M., Frair, J.L., Underwood, H.B., and Crawford, J.C., 2018, Movement behavior preceding autumn mortality for white-tailed deer in central New York: Journal of Mammalogy, v. 99, no. 3, p. 675-683, https://doi.org/10.1093/jmammal/gyy023.","productDescription":"9 p.","startPage":"675","endPage":"683","ipdsId":"IP-091546","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyy023","text":"Publisher Index 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