Natural resource managers are seeking appropriate chemical eradication and control protocols for infestations of zebra mussels, Dreissena polymorpha (Pallas, 1769), and quagga mussels. D. rostiformis bugensis (Andrusov, 1897) that have limited effect on non-target species. Applications of low concentrations of potassium salt (as potash) have shown promise for use where the infestation and treatment can be contained or isolated. To further our understanding of such applications and obtain data that could support a pesticide registration, we conducted studies of the acute and chronic toxicity of potassium chloride to dreissenid mussels in four different water sources from infested and non-infested locations (ground water from northern Idaho, surface water from the Snake River, Idaho, USA, surface water from Lake Ontario, Ontario, Canada, and surface water from the Colorado River, Arizona, USA). We found short term exposure of veligers (< 24 h) to concentrations of 960 mg/L KCl produced rapid mortality in water from three locations, but veligers tested in Colorado River water were resistant. We used probit models to compare the mortality responses, predicted median lethal times and 95% confidence intervals. In separate experiments, we explored the sensitivity of byssal stage mussels in chronic exposures (>29 d) at concentrations of 100 and 200 mg/L KCl. Rapid mortality occurred within 10 d of exposure to concentrations of 200 mg/L KCl, regardless of water source. Kaplan-Meier estimates of mean survival of byssal mussels in 100 mg/L KCl prepared in surface water from Idaho and Lake Ontario were 4.9 or 6.9 d, respectively; however, mean survival of mussels tested in the Colorado River water was > 23 d. The sodium content of the Colorado River water was nearly three times that measured in waters from the other locations, and we hypothesized sodium concentrations may affect mussel survival. To test our hypothesis, we supplemented Snake River and Lake Ontario water with NaCl to equivalent conductivity as the Colorado River, and found mussel survival increased to levels observed in tests of veliger and byssal mussels in Colorado River water. We recommend KCl disinfection and eradication protocols must be developed to carefully consider the water quality characteristics of treatment locations.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2016.7.3.05","usgsCitation":"Moffitt, C.M., Stockton-Fiti, K.A., and Claudi, R., 2016, Toxicity of potassium chloride to veliger and byssal stage dreissenid mussels related to water quality: Management of Biological Invasions, v. 7, no. 3, p. 257-268, https://doi.org/10.3391/mbi.2016.7.3.05.","productDescription":"12 p.","startPage":"257","endPage":"268","ipdsId":"IP-073121","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2016.7.3.05","text":"Publisher Index Page"},{"id":348406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e9dbe4b09af898c8cc5c","contributors":{"authors":[{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockton-Fiti, Kelly A.","contributorId":200103,"corporation":false,"usgs":false,"family":"Stockton-Fiti","given":"Kelly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claudi, Renata","contributorId":171420,"corporation":false,"usgs":false,"family":"Claudi","given":"Renata","email":"","affiliations":[{"id":26908,"text":"RNT Consulting Inc., Canada","active":true,"usgs":false}],"preferred":false,"id":721004,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192982,"text":"70192982 - 2016 - Estimating the effects of 17α-ethinylestradiol on stochastic population growth rate of fathead minnows: a population synthesis of empirically derived vital rates","interactions":[],"lastModifiedDate":"2018-03-26T11:39:57","indexId":"70192982","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the effects of 17α-ethinylestradiol on stochastic population growth rate of fathead minnows: a population synthesis of empirically derived vital rates","docAbstract":"Urban freshwater streams in arid climates are wastewater effluent dominated ecosystems particularly impacted by bioactive chemicals including steroid estrogens that disrupt vertebrate reproduction. However, more understanding of the population and ecological consequences of exposure to wastewater effluent is needed. We used empirically derived vital rate estimates from a mesocosm study to develop a stochastic stage-structured population model and evaluated the effect of 17α-ethinylestradiol (EE2), the estrogen in human contraceptive pills, on fathead minnow Pimephales promelas stochastic population growth rate. Tested EE2 concentrations ranged from 3.2 to 10.9 ng L−1 and produced stochastic population growth rates (λ S ) below 1 at the lowest concentration, indicating potential for population decline. Declines in λ S compared to controls were evident in treatments that were lethal to adult males despite statistically insignificant effects on egg production and juvenile recruitment. In fact, results indicated that λ S was most sensitive to the survival of juveniles and female egg production. More broadly, our results document that population model results may differ even when empirically derived estimates of vital rates are similar among experimental treatments, and demonstrate how population models integrate and project the effects of stressors throughout the life cycle. Thus, stochastic population models can more effectively evaluate the ecological consequences of experimentally derived vital rates.
","language":"English","publisher":"Springer","doi":"10.1007/s10646-016-1688-9","usgsCitation":"Schwindt, A.R., and Winkelman, D.L., 2016, Estimating the effects of 17α-ethinylestradiol on stochastic population growth rate of fathead minnows: a population synthesis of empirically derived vital rates: Ecotoxicology, v. 25, no. 7, p. 1364-1375, https://doi.org/10.1007/s10646-016-1688-9.","productDescription":"12 p.","startPage":"1364","endPage":"1375","ipdsId":"IP-057272","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-02","publicationStatus":"PW","scienceBaseUri":"5a07e9dae4b09af898c8cc5a","contributors":{"authors":[{"text":"Schwindt, Adam R.","contributorId":173697,"corporation":false,"usgs":false,"family":"Schwindt","given":"Adam","email":"","middleInitial":"R.","affiliations":[{"id":25665,"text":"Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":720901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176195,"text":"70176195 - 2016 - Pleistocene Lake Bonneville as an analog for extraterrestrial lakes and oceans","interactions":[],"lastModifiedDate":"2020-08-25T17:14:10.348966","indexId":"70176195","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"21","title":"Pleistocene Lake Bonneville as an analog for extraterrestrial lakes and oceans","docAbstract":"Geomorphic confirmation for a putative ancient Mars ocean relies on analog comparisons of coastal-like features such as shoreline feature attributes and temporal scales of process formation. Pleistocene Lake Bonneville is one of the few large, geologically young, terrestrial lake systems that exemplify well-preserved shoreline characteristics that formed quickly, on the order of a thousand years or less. Studies of Lake Bonneville provide two essential analog considerations for interpreting shorelines on Mars: (1) morphological variations in expression depend on constructional vs erosional processes, and (2) shorelines are not always correlative at an equipotential elevation across a basin due to isostasy, heat flow, wave setup, fetch, and other factors. Although other large terrestrial lake systems display supporting evidence for geomorphic comparisons, Lake Bonneville encompasses the most integrated examples of preserved coastal features related to basin history, sediment supply, climate, and fetch, all within the context of a detailed hydrograph. These collective terrestrial lessons provide a framework to evaluate possible boundary conditions for ancient Mars hydrology and large water body environmental feedbacks. This knowledge of shoreline characteristics, processes, and environments can support explorations of habitable environments and guide future mission explorations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in earth surface processes, Volume 20","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63590-7.00021-4","usgsCitation":"Chan, M., Jewell, P., Parker, T.J., Ormo, J., Okubo, C., and Komatsu, G., 2016, Pleistocene Lake Bonneville as an analog for extraterrestrial lakes and oceans, chap. 21 of Developments in earth surface processes, Volume 20, v. 20, p. 570-597, https://doi.org/10.1016/B978-0-444-63590-7.00021-4.","productDescription":"28 p.","startPage":"570","endPage":"597","ipdsId":"IP-068865","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":328157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c94321e4b0f2f0cec135a4","contributors":{"authors":[{"text":"Chan, M.A.","contributorId":52340,"corporation":false,"usgs":true,"family":"Chan","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":647724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jewell, P.","contributorId":77843,"corporation":false,"usgs":true,"family":"Jewell","given":"P.","email":"","affiliations":[],"preferred":false,"id":647725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, T. J.","contributorId":30776,"corporation":false,"usgs":false,"family":"Parker","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":647726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ormo, J.","contributorId":55626,"corporation":false,"usgs":true,"family":"Ormo","given":"J.","affiliations":[],"preferred":false,"id":647727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":647723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Komatsu, G.","contributorId":35913,"corporation":false,"usgs":true,"family":"Komatsu","given":"G.","email":"","affiliations":[],"preferred":false,"id":647728,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176107,"text":"70176107 - 2016 - National protocol framework for the inventory and monitoring of bees","interactions":[],"lastModifiedDate":"2018-08-10T16:16:48","indexId":"70176107","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"National protocol framework for the inventory and monitoring of bees","docAbstract":"This national protocol framework is a standardized tool for the inventory and monitoring of the approximately 4,200 species of native and non-native bee species that may be found within the National Wildlife Refuge System (NWRS) administered by the U.S. Fish and Wildlife Service (USFWS). However, this protocol framework may also be used by other organizations and individuals to monitor bees in any given habitat or location. Our goal is to provide USFWS stations within the NWRS (NWRS stations are land units managed by the USFWS such as national wildlife refuges, national fish hatcheries, wetland management districts, conservation areas, leased lands, etc.) with techniques for developing an initial baseline inventory of what bee species are present on their lands and to provide an inexpensive, simple technique for monitoring bees continuously and for monitoring and evaluating long-term population trends and management impacts. The latter long-term monitoring technique requires a minimal time burden for the individual station, yet can provide a good statistical sample of changing populations that can be investigated at the station, regional, and national levels within the USFWS’ jurisdiction, and compared to other sites within the United States and Canada. This protocol framework was developed in cooperation with the United States Geological Survey (USGS), the USFWS, and a worldwide network of bee researchers who have investigated the techniques and methods for capturing bees and tracking population changes. The protocol framework evolved from field and lab-based investigations at the USGS Bee Inventory and Monitoring Laboratory at the Patuxent Wildlife Research Center in Beltsville, Maryland starting in 2002 and was refined by a large number of USFWS, academic, and state groups. It includes a Protocol Introduction and a set of 8 Standard Operating Procedures or SOPs and adheres to national standards of protocol content and organization. The Protocol Narrative describes the history and need for the protocol framework and summarizes the basic elements of objectives, sampling design, field methods, training, data management, analysis, and reporting. The SOPs provide more detail and specific instructions for implementing the protocol framework. A central database, for managing all the resulting data is under development. We welcome use of this protocol framework by our partners, as appropriate for their bee inventory and monitoring objectives.
","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Droege, S., Engler, J.D., Sellers, E.A., and O’Brien, L., 2016, National protocol framework for the inventory and monitoring of bees, v, 79 p.","productDescription":"v, 79 p.","numberOfPages":"97","ipdsId":"IP-054936","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":328772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":327877,"type":{"id":11,"text":"Document"},"url":"https://ecos.fws.gov/ServCatFiles/reference/holding/47682"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c66ce4b0bc0bec09c978","contributors":{"authors":[{"text":"Droege, Sam sdroege@usgs.gov","contributorId":3464,"corporation":false,"usgs":true,"family":"Droege","given":"Sam","email":"sdroege@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":647131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engler, Joseph D.","contributorId":69943,"corporation":false,"usgs":false,"family":"Engler","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":647132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sellers, Elizabeth A. 0000-0003-4676-2994 esellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-2994","contributorId":4704,"corporation":false,"usgs":true,"family":"Sellers","given":"Elizabeth","email":"esellers@usgs.gov","middleInitial":"A.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":647130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Brien, Lee","contributorId":174067,"corporation":false,"usgs":false,"family":"O’Brien","given":"Lee","email":"","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":647133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176202,"text":"70176202 - 2016 - Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change","interactions":[],"lastModifiedDate":"2016-09-01T16:46:32","indexId":"70176202","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change","docAbstract":"Frequent high-resolution measurements of topography at active volcanoes can provide important information for assessing the distribution and rate of emplacement of volcanic deposits and their influence on hazard. At dome-building volcanoes, monitoring techniques such as LiDAR and photogrammetry often provide a limited view of the area affected by the eruption. Here, we show the ability of satellite radar observations to image the lava dome and pyroclastic density current deposits that resulted from 15 years of eruptive activity at Soufrière Hills Volcano, Montserrat, from 1995 to 2010. We present the first geodetic measurements of the complete subaerial deposition field on Montserrat, including the lava dome. Synthetic aperture radar observations from the Advanced Land Observation Satellite (ALOS) and TanDEM-X mission are used to map the distribution and magnitude of elevation changes. We estimate a net dense-rock equivalent volume increase of 108 ± 15M m3 of the lava dome and 300 ± 220M m3 of talus and subaerial pyroclastic density current deposits. We also show variations in deposit distribution during different phases of the eruption, with greatest on-land deposition to the south and west, from 1995 to 2005, and the thickest deposits to the west and north after 2005. We conclude by assessing the potential of using radar-derived topographic measurements as a tool for monitoring and hazard assessment during eruptions at dome-building volcanoes.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01291.1","usgsCitation":"Arnold, D.W., Biggs, J., Wadge, G., Ebmeier, S., Odbert, H.M., and Poland, M., 2016, Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change: Geosphere, v. 12, no. 4, p. 1300-1315, https://doi.org/10.1130/GES01291.1.","productDescription":"16 p.","startPage":"1300","endPage":"1315","ipdsId":"IP-070549","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01291.1","text":"Publisher Index Page"},{"id":328212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-27","publicationStatus":"PW","scienceBaseUri":"57c9431ce4b0f2f0cec13567","contributors":{"authors":[{"text":"Arnold, D. W. D.","contributorId":174270,"corporation":false,"usgs":false,"family":"Arnold","given":"D.","email":"","middleInitial":"W. D.","affiliations":[],"preferred":false,"id":647783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggs, J.","contributorId":59241,"corporation":false,"usgs":true,"family":"Biggs","given":"J.","affiliations":[],"preferred":false,"id":647784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wadge, G.","contributorId":35106,"corporation":false,"usgs":true,"family":"Wadge","given":"G.","affiliations":[],"preferred":false,"id":647785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebmeier, S. K.","contributorId":174271,"corporation":false,"usgs":false,"family":"Ebmeier","given":"S. K.","affiliations":[],"preferred":false,"id":647786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Odbert, H. M.","contributorId":174272,"corporation":false,"usgs":false,"family":"Odbert","given":"H.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":647787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":647782,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178668,"text":"70178668 - 2016 - Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column","interactions":[],"lastModifiedDate":"2017-04-25T16:47:59","indexId":"70178668","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column","docAbstract":"Owing to human activity, global nitrogen (N) cycles have been altered. In the past 100 years, global N deposition has increased. Currently, the monitoring and estimating of N deposition and the evaluation of its effects on global carbon budgets are the focus of many researchers. NO2 columns retrieved by space-borne sensors provide us with a new way of exploring global N cycles and these have the ability to estimate N deposition. However, the time range limitation of NO2 columns makes the estimation of long timescale N deposition difficult. In this study we used ground-based NOx emission data to expand the density of NO2columns, and 40 years of N deposition (1970–2009) was inverted using the multivariate linear model with expanded NO2 columns. The dynamic of N deposition was examined in both global and biome scales. The results show that the average N deposition was 0.34 g N m–2 year–1 in the 2000s, which was an increase of 38.4% compared with the 1970s’. The total N deposition in different biomes is unbalanced. N deposition is only 38.0% of the global total in forest biomes; this is made up of 25.9%, 11.3, and 0.7% in tropical, temperate, and boreal forests, respectively. As N-limited biomes, there was little increase of N deposition in boreal forests. However, N deposition has increased by a total of 59.6% in tropical forests and croplands, which are N-rich biomes. Such characteristics may influence the effects on global carbon budgets.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2016.1225178","usgsCitation":"Lu, X., Zhang, X., Liu, J., and Jin, J., 2016, Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO2 column: International Journal of Remote Sensing, v. 37, no. 20, p. 4964-4978, https://doi.org/10.1080/01431161.2016.1225178.","productDescription":"15 p.","startPage":"4964","endPage":"4978","ipdsId":"IP-076950","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":331434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"20","noUsgsAuthors":false,"publicationDate":"2016-09-21","publicationStatus":"PW","scienceBaseUri":"584144e0e4b04fc80e5073ac","contributors":{"authors":[{"text":"Lu, Xuehe","contributorId":73517,"corporation":false,"usgs":true,"family":"Lu","given":"Xuehe","affiliations":[],"preferred":false,"id":654763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Xiuying","contributorId":175218,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiuying","email":"","affiliations":[{"id":27538,"text":"International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093","active":true,"usgs":false}],"preferred":false,"id":654764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":654765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jin, Jiaxin","contributorId":13561,"corporation":false,"usgs":true,"family":"Jin","given":"Jiaxin","affiliations":[],"preferred":false,"id":654766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182823,"text":"70182823 - 2016 - Forward modeling of gravity data using geostatistically generated subsurface density variations","interactions":[],"lastModifiedDate":"2017-03-01T10:56:24","indexId":"70182823","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Forward modeling of gravity data using geostatistically generated subsurface density variations","docAbstract":"Using geostatistical models of density variations in the subsurface, constrained by geologic data, forward models of gravity anomalies can be generated by discretizing the subsurface and calculating the cumulative effect of each cell (pixel). The results of such stochastically generated forward gravity anomalies can be compared with the observed gravity anomalies to find density models that match the observed data. These models have an advantage over forward gravity anomalies generated using polygonal bodies of homogeneous density because generating numerous realizations explores a larger region of the solution space. The stochastic modeling can be thought of as dividing the forward model into two components: that due to the shape of each geologic unit and that due to the heterogeneous distribution of density within each geologic unit. The modeling demonstrates that the internally heterogeneous distribution of density within each geologic unit can contribute significantly to the resulting calculated forward gravity anomaly. Furthermore, the stochastic models match observed statistical properties of geologic units, the solution space is more broadly explored by producing a suite of successful models, and the likelihood of a particular conceptual geologic model can be compared. The Vaca Fault near Travis Air Force Base, California, can be successfully modeled as a normal or strike-slip fault, with the normal fault model being slightly more probable. It can also be modeled as a reverse fault, although this structural geologic configuration is highly unlikely given the realizations we explored.
Ecological memory is central to how ecosystems respond to disturbance and is maintained by two types of legacies – information and material. Species life-history traits represent an adaptive response to disturbance and are an information legacy; in contrast, the abiotic and biotic structures (such as seeds or nutrients) produced by single disturbance events are material legacies. Disturbance characteristics that support or maintain these legacies enhance ecological resilience and maintain a “safe operating space” for ecosystem recovery. However, legacies can be lost or diminished as disturbance regimes and environmental conditions change, generating a “resilience debt” that manifests only after the system is disturbed. Strong effects of ecological memory on post-disturbance dynamics imply that contingencies (effects that cannot be predicted with certainty) of individual disturbances, interactions among disturbances, and climate variability combine to affect ecosystem resilience. We illustrate these concepts and introduce a novel ecosystem resilience framework with examples of forest disturbances, primarily from North America. Identifying legacies that support resilience in a particular ecosystem can help scientists and resource managers anticipate when disturbances may trigger abrupt shifts in forest ecosystems, and when forests are likely to be resilient.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1311","usgsCitation":"Johnstone, J.F., Allen, C.D., Franklin, J.F., Frelich, L.E., Harvey, B.J., Higuera, P.E., Mack, M.C., Meentemeyer, R.K., Metz, M.R., Perry, G.L., Schoennagel, T., and Turner, M.G., 2016, Changing disturbance regimes, ecological memory, and forest resilience: Frontiers in Ecology and the Environment, v. 14, no. 7, p. 369-378, https://doi.org/10.1002/fee.1311.","productDescription":"9 p.","startPage":"369","endPage":"378","ipdsId":"IP-073719","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":462103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1311","text":"Publisher Index Page"},{"id":335166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589fff3be4b099f50d3e0453","chorus":{"doi":"10.1002/fee.1311","url":"http://dx.doi.org/10.1002/fee.1311","publisher":"Wiley-Blackwell","authors":"Johnstone Jill F, Allen Craig D, Franklin Jerry F, Frelich Lee E, Harvey Brian J, Higuera Philip E, Mack Michelle C, Meentemeyer Ross K, Metz Margaret R, Perry George LW, Schoennagel Tania, Turner Monica G","journalName":"Frontiers in Ecology and the Environment","publicationDate":"9/2016","auditedOn":"11/12/2016"},"contributors":{"authors":[{"text":"Johnstone, Jill F.","contributorId":179336,"corporation":false,"usgs":false,"family":"Johnstone","given":"Jill","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":663324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":663323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franklin, Jerry F.","contributorId":179337,"corporation":false,"usgs":false,"family":"Franklin","given":"Jerry","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":663325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frelich, Lee E.","contributorId":179338,"corporation":false,"usgs":false,"family":"Frelich","given":"Lee","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":663326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Brian J.","contributorId":179339,"corporation":false,"usgs":false,"family":"Harvey","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Higuera, Philip E.","contributorId":179340,"corporation":false,"usgs":false,"family":"Higuera","given":"Philip","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":663328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mack, Michelle C.","contributorId":169394,"corporation":false,"usgs":false,"family":"Mack","given":"Michelle","email":"","middleInitial":"C.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":663329,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":663330,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Metz, Margaret R.","contributorId":179342,"corporation":false,"usgs":false,"family":"Metz","given":"Margaret","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":663331,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Perry, George LW","contributorId":179343,"corporation":false,"usgs":false,"family":"Perry","given":"George","email":"","middleInitial":"LW","affiliations":[],"preferred":false,"id":663332,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schoennagel, Tania","contributorId":179344,"corporation":false,"usgs":false,"family":"Schoennagel","given":"Tania","email":"","affiliations":[],"preferred":false,"id":663333,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Turner, Monica G.","contributorId":179345,"corporation":false,"usgs":false,"family":"Turner","given":"Monica","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":663334,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70192501,"text":"70192501 - 2016 - Restoring sand shinnery oak prairies with herbicide and grazing in New Mexico","interactions":[],"lastModifiedDate":"2017-11-28T14:44:58","indexId":"70192501","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Restoring sand shinnery oak prairies with herbicide and grazing in New Mexico","docAbstract":"Sand shinnery oak (Quercus havardii) prairies are increasingly disappearing and increasingly degraded in the Southern High Plains of Texas and New Mexico. Restoring and managing sand shinnery oak prairie can support biodiversity, specific species of conservation concern, and livestock production. We measured vegetation response to four treatment combinations of herbicide (tebuthiuron applied at 0.60 kg/ha) and moderate-intensity grazing (50% removal of annual herbaceous production) over a 10-year period in a sand shinnery oak prairie of eastern New Mexico. We compared the annual vegetation response to the historical climax plant community (HCPC) as outlined by the U.S. Department of Agriculture Ecological Site Description. From 2 to 10 years postapplication, tebuthiuron-treated plots had reduced shrub cover with twice as much forb and grass cover as untreated plots. Tebuthiuron-treated plots, regardless of the presence of grazing, most frequently met HCPC. Tebuthiuron and moderate-intensity grazing increased vegetation heterogeneity and, based on comparison of the HCPC, successfully restored sand shinnery oak prairie to a vegetation composition similar to presettlement.
","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-61.3.225","usgsCitation":"Zavaleta, J.C., Haukos, D.A., Grisham, B.A., Boal, C.W., and Dixon, C., 2016, Restoring sand shinnery oak prairies with herbicide and grazing in New Mexico: Southwestern Naturalist, v. 61, no. 3, p. 225-232, https://doi.org/10.1894/0038-4909-61.3.225.","productDescription":"8 p.","startPage":"225","endPage":"232","ipdsId":"IP-056147","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","volume":"61","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fcd5e4b06e28e9c2439a","contributors":{"authors":[{"text":"Zavaleta, Jennifer C.","contributorId":102785,"corporation":false,"usgs":true,"family":"Zavaleta","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":723911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grisham, Blake A.","contributorId":75419,"corporation":false,"usgs":true,"family":"Grisham","given":"Blake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":723913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dixon, Charles","contributorId":68203,"corporation":false,"usgs":true,"family":"Dixon","given":"Charles","email":"","affiliations":[],"preferred":false,"id":723914,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176518,"text":"70176518 - 2016 - Balanced sediment fluxes in southern California’s Mediterranean-climate zone salt marshes","interactions":[],"lastModifiedDate":"2017-07-19T15:38:12","indexId":"70176518","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Balanced sediment fluxes in southern California’s Mediterranean-climate zone salt marshes","docAbstract":"Salt marsh elevation and geomorphic stability depends on mineral sedimentation. Many Mediterranean-climate salt marshes along southern California, USA coast import sediment during El Niño storm events, but sediment fluxes and mechanisms during dry weather are potentially important for marsh stability. We calculated tidal creek sediment fluxes within a highly modified, sediment-starved, 1.5-km2 salt marsh (Seal Beach) and a less modified 1-km2marsh (Mugu) with fluvial sediment supply. We measured salt marsh plain suspended sediment concentration and vertical accretion using single stage samplers and marker horizons. At Seal Beach, a 2014 storm yielded 39 and 28 g/s mean sediment fluxes and imported 12,000 and 8800 kg in a western and eastern channel. Western channel storm imports offset 8700 kg exported during 2 months of dry weather, while eastern channel storm imports augmented 9200 kg imported during dry weather. During the storm at Mugu, suspended sediment concentrations on the marsh plain increased by a factor of four; accretion was 1–2 mm near creek levees. An exceptionally high tide sequence yielded 4.4 g/s mean sediment flux, importing 1700 kg: 20 % of Mugu’s dry weather fluxes. Overall, low sediment fluxes were observed, suggesting that these salt marshes are geomorphically stable during dry weather conditions. Results suggest storms and high lunar tides may play large roles, importing sediment and maintaining dry weather sediment flux balances for southern California salt marshes. However, under future climate change and sea level rise scenarios, results suggest that balanced sediment fluxes lead to marsh elevational instability based on estimated mineral sediment deficits.
Manly et al. (2015) commented on the approach we (Feyrer et al. 2011) used to calculate an index of the abiotic habitat of delta smelt Hypomesus transpacificus. The delta smelt is an annual fish species endemic to the San Francisco Estuary (SFE) in California, USA. Conserving the delta smelt population while providing reliability to California’s water supply with water diverted from the SFE ecosystem is a major management and policy issue. Feyrer et al. (2011) evaluated historic and projected future abiotic habitat conditions for delta smelt. Manly et al. (2015) specifically commented regarding the following: (1) use of an independent abundance estimate, (2) spatial bias in the habitat index, and (3) application of the habitat index to future climate change projections. Here, we provide our reply to these three topics. While we agree that some of the concepts raised by Manly et al. (2015) have the potential to improve habitat assessments and their application to climate change scenarios as knowledge is gained, we note that the Feyrer et al. (2011) delta smelt habitat index is essentially identical to one reconstructed using Manly et al.’s (2015) preferred approach (their model 8), as shown here in Fig. 1.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-015-9987-6","usgsCitation":"Feyrer, F.V., Newman, K.B., Nobriga, M., and Sommer, T., 2016, Delta smelt habitat in the San Francisco Estuary: A reply to Manly, Fullerton, Hendrix, and Burnham’s “Comments on Feyrer et al. Modeling the effects of future outflow on the abiotic habitat of an imperiled estuarine fish\": Estuaries and Coasts, v. 39, no. 1, p. 287-289, https://doi.org/10.1007/s12237-015-9987-6.","productDescription":"3 p.","startPage":"287","endPage":"289","ipdsId":"IP-065000","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-15","publicationStatus":"PW","scienceBaseUri":"57d92332e4b090824ffa1a44","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":5901,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Ken B.","contributorId":51139,"corporation":false,"usgs":true,"family":"Newman","given":"Ken","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":648727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nobriga, Matthew","contributorId":139247,"corporation":false,"usgs":false,"family":"Nobriga","given":"Matthew","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":648728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sommer, Ted","contributorId":105242,"corporation":false,"usgs":true,"family":"Sommer","given":"Ted","email":"","affiliations":[],"preferred":false,"id":648729,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176431,"text":"70176431 - 2016 - Genetic variation at the MHC DRB1 locus is similar across Gunnison's prairie dog (Cynomys gunnisoni) colonies regardless of plague history","interactions":[],"lastModifiedDate":"2016-09-13T14:21:12","indexId":"70176431","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Genetic variation at the MHC DRB1 locus is similar across Gunnison's prairie dog (Cynomys gunnisoni) colonies regardless of plague history","docAbstract":"Yersinia pestis was introduced to North America around 1900 and leads to nearly 100% mortality in prairie dog (Cynomys spp.) colonies during epizootic events, which suggests this pathogen may exert a strong selective force. We characterized genetic diversity at an MHC class II locus (DRB1) in Gunnison's prairie dog (C. gunnisoni) and quantified population genetic structure at the DRB1versus 12 microsatellite loci in three large Arizona colonies. Two colonies, Seligman (SE) and Espee Ranch (ES), have experienced multiple plague-related die-offs in recent years, whereas plague has never been documented at Aubrey Valley (AV). We found fairly low allelic diversity at the DRB1 locus, with one allele (DRB1*01) at high frequency (0.67–0.87) in all colonies. Two otherDRB1 alleles appear to be trans-species polymorphisms shared with the black-tailed prairie dog (C. ludovicianus), indicating that these alleles have been maintained across evolutionary time frames. Estimates of genetic differentiation were generally lower at the MHC locus (FST = 0.033) than at microsatellite markers (FST = 0.098). The reduced differentiation at DRB1 may indicate that selection has been important for shaping variation at MHC loci, regardless of the presence or absence of plague in recent decades. However, genetic drift has probably also influenced theDRB1 locus because its level of differentiation was not different from that of microsatellites in anFST outlier analysis. We then compared specific MHC alleles to plague survivorship in 60C. gunnisoni that had been experimentally infected with Y. pestis. We found that survival was greater in individuals that carried at least one copy of the most common allele (DRB1*01) compared to those that did not (60% vs. 20%). Although the sample sizes of these two groups were unbalanced, this result suggests the possibility that this MHC class II locus, or a nearby linked gene, could play a role in plague survival.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2077","usgsCitation":"Cobble, K.R., Califf, K.J., Stone, N.E., Shuey, M., Birdsell, D., Colman, R.E., Schupp, J., Aziz, M., Van Andel, R., Rocke, T.E., Wagner, D.M., and Busch, J.D., 2016, Genetic variation at the MHC DRB1 locus is similar across Gunnison's prairie dog (Cynomys gunnisoni) colonies regardless of plague history: Ecology and Evolution, v. 6, no. 8, p. 2624-2651, https://doi.org/10.1002/ece3.2077.","productDescription":"28 p.","startPage":"2624","endPage":"2651","ipdsId":"IP-073056","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470611,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2077","text":"Publisher Index Page"},{"id":328618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-16","publicationStatus":"PW","scienceBaseUri":"57d92339e4b090824ffa1a8b","contributors":{"authors":[{"text":"Cobble, Kacy R.","contributorId":38438,"corporation":false,"usgs":true,"family":"Cobble","given":"Kacy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Califf, Katy J.","contributorId":174614,"corporation":false,"usgs":false,"family":"Califf","given":"Katy","email":"","middleInitial":"J.","affiliations":[{"id":27479,"text":"Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":648736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Nathan E.","contributorId":52075,"corporation":false,"usgs":true,"family":"Stone","given":"Nathan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":648737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shuey, Megan M.","contributorId":51200,"corporation":false,"usgs":true,"family":"Shuey","given":"Megan M.","affiliations":[],"preferred":false,"id":648738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birdsell, Dawn","contributorId":174615,"corporation":false,"usgs":false,"family":"Birdsell","given":"Dawn","email":"","affiliations":[{"id":27480,"text":"1Center for Microbial Genetics and Genomics, Northern Arizona University, PO Box 4073, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":648739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colman, Rebecca E.","contributorId":107988,"corporation":false,"usgs":false,"family":"Colman","given":"Rebecca","email":"","middleInitial":"E.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":648740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schupp, James M.","contributorId":36455,"corporation":false,"usgs":true,"family":"Schupp","given":"James M.","affiliations":[],"preferred":false,"id":648741,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aziz, Maliha","contributorId":174616,"corporation":false,"usgs":false,"family":"Aziz","given":"Maliha","email":"","affiliations":[{"id":27481,"text":"Translational Genomics Research Institute North, 3051 W. Shamrell Blvd #106, Flagstaff, Arizona 86001, USA","active":true,"usgs":false}],"preferred":false,"id":648742,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Andel, Roger","contributorId":95799,"corporation":false,"usgs":false,"family":"Van Andel","given":"Roger","email":"","affiliations":[],"preferred":false,"id":648743,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":648734,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wagner, David M.","contributorId":8737,"corporation":false,"usgs":false,"family":"Wagner","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":648745,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Busch, Joseph D.","contributorId":44052,"corporation":false,"usgs":false,"family":"Busch","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":648744,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70187743,"text":"70187743 - 2016 - Arctic sea ice a major determinant in Mandt's black guillemot movement and distribution during non-breeding season","interactions":[],"lastModifiedDate":"2017-05-16T15:47:06","indexId":"70187743","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Arctic sea ice a major determinant in Mandt's black guillemot movement and distribution during non-breeding season","docAbstract":"Mandt's black guillemot (Cepphus grylle mandtii) is one of the few seabirds associated in all seasons with Arctic sea ice, a habitat that is changing rapidly. Recent decreases in summer ice have reduced breeding success and colony size of this species in Arctic Alaska. Little is known about the species' movements and distribution during the nine month non-breeding period (September–May), when changes in sea ice extent and composition are also occurring and predicted to continue. To examine bird movements and the seasonal role of sea ice to non-breeding Mandt's black guillemots, we deployed and recovered (n = 45) geolocators on individuals at a breeding colony in Arctic Alaska during 2011–2015. Black guillemots moved north to the marginal ice zone (MIZ) in the Beaufort and Chukchi seas immediately after breeding, moved south to the Bering Sea during freeze-up in December, and wintered in the Bering Sea January–April. Most birds occupied the MIZ in regions averaging 30–60% sea ice concentration, with little seasonal variation. Birds regularly roosted on ice in all seasons averaging 5 h d−1, primarily at night. By using the MIZ, with its roosting opportunities and associated prey, black guillemots can remain in the Arctic during winter when littoral waters are completely covered by ice.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsbl.2016.0275","usgsCitation":"Divoky, G., Douglas, D.C., and Stenhouse, I.J., 2016, Arctic sea ice a major determinant in Mandt's black guillemot movement and distribution during non-breeding season: Biology Letters, v. 12, no. 9, Article 20160275, https://doi.org/10.1098/rsbl.2016.0275.","productDescription":"Article 20160275","ipdsId":"IP-074728","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470608,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsbl.2016.0275","text":"Publisher Index Page"},{"id":341394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fc9e4b0a7fdb43ddef2","contributors":{"authors":[{"text":"Divoky, G.J.","contributorId":15971,"corporation":false,"usgs":true,"family":"Divoky","given":"G.J.","affiliations":[],"preferred":false,"id":695398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":695397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenhouse, I. J.","contributorId":192075,"corporation":false,"usgs":false,"family":"Stenhouse","given":"I.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":695399,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185230,"text":"70185230 - 2016 - Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins","interactions":[],"lastModifiedDate":"2017-03-16T12:45:43","indexId":"70185230","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins","docAbstract":"The Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri is native to the Rocky Mountains and has declined in abundance and distribution as a result of habitat degradation and introduced salmonid species. Many of its remaining strongholds are in headwater basins with minimal human disturbances. Understanding the life histories, vital rates, and behaviors of Yellowstone Cutthroat Trout within headwater stream networks remains limited yet is critical for effective management and conservation. We estimated annual relative growth in length and weight, annual survival rates, and movement patterns of Yellowstone Cutthroat Trout from three tributaries of Spread Creek, Wyoming, and two tributaries of Shields River, Montana, from 2011 through 2013 using PIT tag antennas within a mark–recapture framework. Mean annual growth rates varied among tributaries and size-classes, but were slow compared with populations of Yellowstone Cutthroat Trout from large, low-elevation streams. Survival rates were relatively high compared with those of other Cutthroat Trout subspecies, but we found an inverse relationship between survival and size, a pattern contrary to what has been reported for Cutthroat Trout in large streams. Mean annual survival rates ranged from 0.32 (SE = 0.04) to 0.68 (SE = 0.05) in the Spread Creek basin and from 0.30 (SE = 0.07) to 0.69 (SE = 0.10) in the Shields River basin. Downstream movements from tributaries were substantial, with as much as 26.5% of a tagging cohort leaving over the course of the study. Integrating our growth, survival, and movement results demonstrates the importance of considering strategies to enhance headwater stream habitats and highlights the importance of connectivity with larger stream networks.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1206643","usgsCitation":"Uthe, P., Al-Chokhachy, R.K., Zale, A.V., Shepard, B.B., McMahon, T., and Stephens, T., 2016, Life history characteristics and vital rates of Yellowstone Cutthroat Trout in two headwater basins: North American Journal of Fisheries Management, v. 36, no. 6, p. 1240-1253, https://doi.org/10.1080/02755947.2016.1206643.","productDescription":"14 p.","startPage":"1240","endPage":"1253","ipdsId":"IP-076407","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":337749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"58cba41be4b0849ce97dc746","contributors":{"authors":[{"text":"Uthe, Patrick","contributorId":189424,"corporation":false,"usgs":false,"family":"Uthe","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":684806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":684805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":684808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":684809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephens, Tracy","contributorId":189426,"corporation":false,"usgs":false,"family":"Stephens","given":"Tracy","email":"","affiliations":[],"preferred":false,"id":684810,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70179384,"text":"70179384 - 2016 - H9N2 influenza A virus isolated from a Greater White-fronted wild goose (Anser albifrons) in Alaska has a mutation in the PB2 gene, which is associated with pathogenicity in human pandemic 2009 H1N1","interactions":[],"lastModifiedDate":"2017-02-17T15:02:49","indexId":"70179384","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5099,"text":"Genome Announcements","active":true,"publicationSubtype":{"id":10}},"title":"H9N2 influenza A virus isolated from a Greater White-fronted wild goose (Anser albifrons) in Alaska has a mutation in the PB2 gene, which is associated with pathogenicity in human pandemic 2009 H1N1","docAbstract":"We report here the genomic sequence of an H9N2 influenza A virus [A/greater white-fronted goose/Alaska/81081/2008 (H9N2)]. This virus shares ≥99.8% identity with a previously reported virus. Both strains contain a G590S mutation in the polymerase basic 2 (PB2) gene, which is a pathogenicity marker in the pandemic 2009 H1N1 virus when combined with R591.
","language":"English","publisher":"American Society for Microbiology ","doi":"10.1128/genomeA.00869-16","usgsCitation":"Reeves, A.B., and Ip, S., 2016, H9N2 influenza A virus isolated from a Greater White-fronted wild goose (Anser albifrons) in Alaska has a mutation in the PB2 gene, which is associated with pathogenicity in human pandemic 2009 H1N1: Genome Announcements, v. 4, no. 5, 2 p. , https://doi.org/10.1128/genomeA.00869-16.","productDescription":"2 p. ","ipdsId":"IP-076754","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470616,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.00869-16","text":"Publisher Index Page"},{"id":332673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586781f7e4b0cd2dabe7c717","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":657009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":657010,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185033,"text":"70185033 - 2016 - A strategy for recovering continuous behavioral telemetry data from Pacific walruses","interactions":[],"lastModifiedDate":"2018-06-16T17:47:36","indexId":"70185033","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"A strategy for recovering continuous behavioral telemetry data from Pacific walruses","docAbstract":"Tracking animal behavior and movement with telemetry sensors can offer substantial insights required for conservation. Yet, the value of data collected by animal-borne telemetry systems is limited by bandwidth constraints. To understand the response of Pacific walruses (Odobenus rosmarus divergens) to rapid changes in sea ice availability, we required continuous geospatial chronologies of foraging behavior. Satellite telemetry offered the only practical means to systematically collect such data; however, data transmission constraints of satellite data-collection systems limited the data volume that could be acquired. Although algorithms exist for reducing sensor data volumes for efficient transmission, none could meet our requirements. Consequently, we developed an algorithm for classifying hourly foraging behavior status aboard a tag with limited processing power. We found a 98% correspondence of our algorithm's classification with a test classification based on time–depth data recovered and characterized through multivariate analysis in a separate study. We then applied our algorithm within a telemetry system that relied on remotely deployed satellite tags. Data collected by these tags from Pacific walruses across their range during 2007–2015 demonstrated the consistency of foraging behavior collected by this strategy with data collected by data logging tags; and demonstrated the ability to collect geospatial behavioral chronologies with minimal missing data where recovery of data logging tags is precluded. Our strategy for developing a telemetry system may be applicable to any study requiring intelligent algorithms to continuously monitor behavior, and then compress those data into meaningful information that can be efficiently transmitted.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.685","usgsCitation":"Fischbach, A.S., and Jay, C.V., 2016, A strategy for recovering continuous behavioral telemetry data from Pacific walruses: Wildlife Society Bulletin, v. 40, no. 3, p. 599-604, https://doi.org/10.1002/wsb.685.","productDescription":"6 p.","startPage":"599","endPage":"604","ipdsId":"IP-072182","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":500040,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/8556f5253616444cbdd9ed1af2942bf8","text":"External Repository"},{"id":337496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-12","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcd9","chorus":{"doi":"10.1002/wsb.685","url":"http://dx.doi.org/10.1002/wsb.685","publisher":"Wiley-Blackwell","authors":"Fischbach Anthony, Jay Chadwick V.","journalName":"Wildlife Society Bulletin","publicationDate":"9/2016"},"contributors":{"authors":[{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185041,"text":"70185041 - 2016 - Invariant polar bear habitat selection during a period of sea ice loss","interactions":[],"lastModifiedDate":"2017-03-15T13:52:56","indexId":"70185041","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Invariant polar bear habitat selection during a period of sea ice loss","docAbstract":"Climate change is expected to alter many species' habitat. A species' ability to adjust to these changes is partially determined by their ability to adjust habitat selection preferences to new environmental conditions. Sea ice loss has forced polar bears (Ursus maritimus) to spend longer periods annually over less productive waters, which may be a primary driver of population declines. A negative population response to greater time spent over less productive water implies, however, that prey are not also shifting their space use in response to sea ice loss. We show that polar bear habitat selection in the Chukchi Sea has not changed between periods before and after significant sea ice loss, leading to a 75% reduction of highly selected habitat in summer. Summer was the only period with loss of highly selected habitat, supporting the contention that summer will be a critical period for polar bears as sea ice loss continues. Our results indicate that bears are either unable to shift selection patterns to reflect new prey use patterns or that there has not been a shift towards polar basin waters becoming more productive for prey. Continued sea ice loss is likely to further reduce habitat with population-level consequences for polar bears.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rspb.2016.0380","usgsCitation":"Wilson, R.H., Regehr, E.V., Rode, K.D., and St. Martin, M., 2016, Invariant polar bear habitat selection during a period of sea ice loss: Proceedings of the Royal Society B: Biological Sciences, v. 283, no. 1836, Article 20160380, https://doi.org/10.1098/rspb.2016.0380.","productDescription":"Article 20160380","ipdsId":"IP-073051","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470605,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2016.0380","text":"Publisher Index Page"},{"id":337645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","issue":"1836","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86b0","chorus":{"doi":"10.1098/rspb.2016.0380","url":"http://dx.doi.org/10.1098/rspb.2016.0380","publisher":"The Royal Society","authors":"Wilson Ryan R., Regehr Eric V., Rode Karyn D., St Martin Michelle","journalName":"Proceedings of the Royal Society B: Biological Sciences","publicationDate":"8/17/2016","auditedOn":"9/12/2016","publiclyAccessibleDate":"8/17/2016"},"contributors":{"authors":[{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":684038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":684039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":684037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. Martin, Michelle","contributorId":189169,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","affiliations":[],"preferred":false,"id":684040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185047,"text":"70185047 - 2016 - Chronic wasting disease drives population decline of white-tailed deer","interactions":[],"lastModifiedDate":"2017-03-13T15:32:06","indexId":"70185047","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Chronic wasting disease drives population decline of white-tailed deer","docAbstract":"Chronic wasting disease (CWD) is an invariably fatal transmissible spongiform encephalopathy of white-tailed deer, mule deer, elk, and moose. Despite a 100% fatality rate, areas of high prevalence, and increasingly expanding geographic endemic areas, little is known about the population-level effects of CWD in deer. To investigate these effects, we tested the null hypothesis that high prevalence CWD did not negatively impact white-tailed deer population sustainability. The specific objectives of the study were to monitor CWD-positive and CWD-negative white-tailed deer in a high-prevalence CWD area longitudinally via radio-telemetry and global positioning system (GPS) collars. For the two populations, we determined the following: a) demographic and disease indices, b) annual survival, and c) finite rate of population growth (λ). The CWD prevalence was higher in females (42%) than males (28.8%) and hunter harvest and clinical CWD were the most frequent causes of mortality, with CWD-positive deer over-represented in harvest and total mortalities. Survival was significantly lower for CWD-positive deer and separately by sex; CWD-positive deer were 4.5 times more likely to die annually than CWD-negative deer while bucks were 1.7 times more likely to die than does. Population λ was 0.896 (0.859–0.980), which indicated a 10.4% annual decline. We show that a chronic disease that becomes endemic in wildlife populations has the potential to be population-limiting and the strong population-level effects of CWD suggest affected populations are not sustainable at high disease prevalence under current harvest levels.
","language":"English","publisher":"PLOS One","doi":"10.1371/journal.pone.0161127","usgsCitation":"Edmunds, D.R., Kauffman, M., Schumaker, B., Lindzey, F.G., Cook, W., Kreeger, T.J., Grogan, R., and Cornish, T., 2016, Chronic wasting disease drives population decline of white-tailed deer: PLoS ONE, v. 11, no. 8, p. 1-19, https://doi.org/10.1371/journal.pone.0161127.","productDescription":"e0161127; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-075014","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470620,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0161127","text":"Publisher Index Page"},{"id":337463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"58c7afa0e4b0849ce9795ea0","contributors":{"authors":[{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":684066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":684065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumaker, Brant","contributorId":189181,"corporation":false,"usgs":false,"family":"Schumaker","given":"Brant","affiliations":[],"preferred":false,"id":684067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindzey, Frederick G.","contributorId":189182,"corporation":false,"usgs":false,"family":"Lindzey","given":"Frederick","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":684068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Walter","contributorId":189183,"corporation":false,"usgs":false,"family":"Cook","given":"Walter","email":"","affiliations":[],"preferred":false,"id":684069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreeger, Terry J.","contributorId":189227,"corporation":false,"usgs":false,"family":"Kreeger","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grogan, Ronald","contributorId":189185,"corporation":false,"usgs":false,"family":"Grogan","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":684071,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cornish, Todd","contributorId":189186,"corporation":false,"usgs":false,"family":"Cornish","given":"Todd","email":"","affiliations":[],"preferred":false,"id":684072,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70176347,"text":"70176347 - 2016 - Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD","interactions":[],"lastModifiedDate":"2016-09-09T16:05:13","indexId":"70176347","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/NRR—2016/1289","title":"Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD","docAbstract":"The Scaling Climate Change Adaptation in the Northern Great Plains through Regional Climate Summaries and Local Qualitative-Quantitative Scenario Planning Workshops project synthesizes climate data into 3-5 distinct but plausible climate summaries for the northern Great Plains region; crafts quantitative summaries of these climate futures for two focal areas; and applies these local summaries by developing climate-resource-management scenarios through participatory workshops and, where possible, simulation models. The two focal areas are central North Dakota and southwest South Dakota (Figure 1). The primary objective of this project is to help resource managers and scientists in a focal area use scenario planning to make management and planning decisions based on assessments of critical future uncertainties.
This report summarizes project work for public and tribal lands in the southwest South Dakota grasslands focal area, with an emphasis on Badlands National Park and Buffalo Gap National Grassland. The report explains scenario planning as an adaptation tool in general, then describes how it was applied to the focal area in three phases. Priority resource management and climate uncertainties were identified in the orientation phase. Local climate summaries for relevant, divergent, and challenging climate scenarios were developed in the second phase. In the final phase, a two-day scenario planning workshop held January 20-21, 2016 in Rapid City, South Dakota, featured scenario development and implications, testing management decisions, and methods for operationalizing scenario planning outcomes.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, Colorado","usgsCitation":"Fisichelli, N.A., Schuurman, G.W., Symstad, A.J., Ray, A., Miller, B., Cross, M., and Rowland, E., 2016, Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD: Natural Resource Report NPS/NRSS/NRR—2016/1289, ix, 61 p.","productDescription":"ix, 61 p.","numberOfPages":"76","ipdsId":"IP-075140","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328423,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2233058"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3ce4b0571647d19ac3","contributors":{"authors":[{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":648451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":648452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Andrea","contributorId":71869,"corporation":false,"usgs":true,"family":"Ray","given":"Andrea","affiliations":[],"preferred":false,"id":648453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brian","contributorId":100753,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","affiliations":[],"preferred":false,"id":648454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Molly","contributorId":73455,"corporation":false,"usgs":true,"family":"Cross","given":"Molly","affiliations":[],"preferred":false,"id":648455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowland, Erika","contributorId":146177,"corporation":false,"usgs":false,"family":"Rowland","given":"Erika","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":648456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70182077,"text":"70182077 - 2016 - Evidence for wild waterfowl origin of H7N3 influenza A virus detected in captive-reared New Jersey pheasants","interactions":[],"lastModifiedDate":"2018-08-16T21:28:42","indexId":"70182077","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":892,"text":"Archives of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for wild waterfowl origin of H7N3 influenza A virus detected in captive-reared New Jersey pheasants","docAbstract":"In August 2014, a low-pathogenic H7N3 influenza A virus was isolated from pheasants at a New Jersey gamebird farm and hunting preserve. In this study, we use phylogenetic analyses and calculations of genetic similarity to gain inference into the genetic ancestry of this virus and to identify potential routes of transmission. Results of maximum-likelihood (ML) and maximum-clade-credibility (MCC) phylogenetic analyses provide evidence that A/pheasant/New Jersey/26996-2/2014 (H7N3) had closely related H7 hemagglutinin (HA) and N3 neuraminidase (NA) gene segments as compared to influenza A viruses circulating among wild waterfowl in the central and eastern USA. The estimated time of the most recent common ancestry (TMRCA) between the pheasant virus and those most closely related from wild waterfowl was early 2013 for both the H7 HA and N3 NA gene segments. None of the viruses from waterfowl identified as being most closely related to A/pheasant/New Jersey/26996-2/2014 at the HA and NA gene segments in ML and MCC phylogenetic analyses shared ≥99 % nucleotide sequence identity for internal gene segment sequences. This result indicates that specific viral strains identified in this study as being closely related to the HA and NA gene segments of A/pheasant/New Jersey/26996-2/2014 were not the direct predecessors of the etiological agent identified during the New Jersey outbreak. However, the recent common ancestry of the H7 and N3 gene segments of waterfowl-origin viruses and the virus isolated from pheasants suggests that viral diversity maintained in wild waterfowl likely played an important role in the emergence of A/pheasant/New Jersey/26996-2/2014.
","language":"English","publisher":"Springer","doi":"10.1007/s00705-016-2947-z","usgsCitation":"Ramey, A.M., Kim Torchetti, M., Poulson, R.L., Carter, D.L., Reeves, A.B., Link, P., Walther, P., Lebarbenchon, C., and Stallknecht, D.E., 2016, Evidence for wild waterfowl origin of H7N3 influenza A virus detected in captive-reared New Jersey pheasants: Archives of Virology, v. 161, no. 9, p. 2519-2526, https://doi.org/10.1007/s00705-016-2947-z.","productDescription":"8 p.","startPage":"2519","endPage":"2526","ipdsId":"IP-073296","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470618,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11302360","text":"External Repository"},{"id":335678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"161","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-02","publicationStatus":"PW","scienceBaseUri":"58a6c832e4b025c46428628c","chorus":{"doi":"10.1007/s00705-016-2947-z","url":"http://dx.doi.org/10.1007/s00705-016-2947-z","publisher":"Springer Nature","authors":"Ramey Andrew M., Kim Torchetti Mia, Poulson Rebecca L., Carter Deborah, Reeves Andrew B., Link Paul, Walther Patrick, Lebarbenchon Camille, Stallknecht David E.","journalName":"Archives of Virology","publicationDate":"7/2/2016","auditedOn":"2/8/2017","publiclyAccessibleDate":"7/2/2016"},"contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":669532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim Torchetti, Mia","contributorId":139355,"corporation":false,"usgs":false,"family":"Kim Torchetti","given":"Mia","email":"","affiliations":[{"id":12747,"text":"USDA APHIS VS National Veterinary Services Laboratories, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":669533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":68669,"corporation":false,"usgs":true,"family":"Poulson","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":669534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Deborah L.","contributorId":87473,"corporation":false,"usgs":true,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":669535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":669536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Link, Paul","contributorId":22707,"corporation":false,"usgs":true,"family":"Link","given":"Paul","affiliations":[],"preferred":false,"id":669537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walther, Patrick","contributorId":42153,"corporation":false,"usgs":true,"family":"Walther","given":"Patrick","affiliations":[],"preferred":false,"id":669538,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lebarbenchon, Camille","contributorId":140670,"corporation":false,"usgs":false,"family":"Lebarbenchon","given":"Camille","email":"","affiliations":[],"preferred":false,"id":669539,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":669540,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70171462,"text":"70171462 - 2016 - Migratory routes and at-sea threats to Pink-footed Shearwaters","interactions":[],"lastModifiedDate":"2016-09-08T11:56:42","indexId":"70171462","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Migratory routes and at-sea threats to Pink-footed Shearwaters","docAbstract":"The Pink-footed Shearwater (Ardenna creatopus) is a seabird with a breeding range restricted to three islands in Chile and an estimated world population of approximately 56,000 breeding individuals (Muñoz 2011, Oikonos unpublished data). Due to multiple threats on breeding colonies and at-sea, Pink-footed Shearwaters are listed as Endangered by the government of Chile (Reglamento de Clasificación de Especies, 2011), Threatened by the government of Canada (Environment Canada 2008), and are listed under Appendix 1 of the Agreement on the Conservation of Albatrosses and Petrels (ACAP 2013).\r\nA principal conservation concern for the species is mortality from fisheries bycatch during the breeding and non-breeding seasons; thus, identification of areas of overlap between at-sea use by Pink-footed Shearwaters and fisheries is a high priority conservation objective (Hinojosa Sáez and Hodum 1997, Mangel et al. 2013, ACAP 2013). During the non-breeding period, Pink-footed Shearwaters range as far north as Canada, although little was known until recently about migration routes and important wintering areas where fisheries bycatch could be a risk. Additionally, Pink-footed Shearwaters face at-sea threats during the non-breeding season off the west coast of North America. Recently, areas used by wintering Pink-footed Shearwaters have been identified as areas of interest for developing alternative energy offshore in North America (e.g., floating wind generators; Trident Winds 2016). The goal of our study was to track Pink-footed Shearwater post-breeding movements with satellite tags to identify timing and routes of migration, locate important non-breeding foraging habitats, and determine population distribution among different wintering regions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Seventh Meeting of the Seabird Bycatch Working Group","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh Meeting of the Seabird Bycatch Working Group","conferenceDate":"May 2-4, 2016","conferenceLocation":"La Serena, Chile","language":"English","publisher":"Agreement on the Conservation of Albatrosses and Petrels","usgsCitation":"Adams, J., Felis, J.J., Hodum, P., Colodro, V., Carle, R., and López, V., 2016, Migratory routes and at-sea threats to Pink-footed Shearwaters, in Seventh Meeting of the Seabird Bycatch Working Group, La Serena, Chile, May 2-4, 2016.","ipdsId":"IP-075471","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321936,"type":{"id":15,"text":"Index Page"},"url":"https://www.acap.aq/en/search14?q=Migratory+routes+and+at-sea+threats+to+Pink-footed+Shearwaters"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28baee4b0571647d0f93a","contributors":{"authors":[{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":631080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":631081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodum, Peter 0000-0003-2160-5132","orcid":"https://orcid.org/0000-0003-2160-5132","contributorId":169797,"corporation":false,"usgs":false,"family":"Hodum","given":"Peter","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colodro, Valentina 0000-0001-9285-3171","orcid":"https://orcid.org/0000-0001-9285-3171","contributorId":169798,"corporation":false,"usgs":false,"family":"Colodro","given":"Valentina","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carle, Ryan 0000-0002-8213-4306","orcid":"https://orcid.org/0000-0002-8213-4306","contributorId":169799,"corporation":false,"usgs":false,"family":"Carle","given":"Ryan","email":"","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"López, Verónica","contributorId":169800,"corporation":false,"usgs":false,"family":"López","given":"Verónica","affiliations":[{"id":25597,"text":"Oikonos Ecosystem Knowledge","active":true,"usgs":false}],"preferred":false,"id":631085,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187173,"text":"70187173 - 2016 - Environmental covariates associated with Cambarus veteranus (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA","interactions":[],"lastModifiedDate":"2018-03-16T15:31:45","indexId":"70187173","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental covariates associated with Cambarus veteranus (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA","title":"Environmental covariates associated with Cambarus veteranus (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA","docAbstract":"Cambarus veteranus Faxon, 1914, a narrow endemic crayfish native to the Upper Guyandotte River Basin (UGB) in West Virginia, USA, was petitioned in 2014 by the United States Fish and Wildlife Service to be listed as endangered, but a status survey was recommended to determine if listing was warranted. During May and June 2015, surveys were undertaken across the UGB to determine the current distribution of the species. A total of 71 sites were sampled, including all streams where the species was previously recorded, as well as semi-randomly selected streams, with 1-9 125 m long sites sampled per wadeable stream. Physiochemical and physical habitat data (based on the Qualitative Habitat Evaluation Index, QHEI) were obtained at each site to determine abiotic factors that were associated with the presence of C. veteranus. Site detection or non-detection of C. veteranus and associated site covariates were modeled using logistic regression to determine covariates associated with the presence of the species. Cambarus veteranus was present in both the Pinnacle Creek and Clear Fork/Laurel Fork watersheds at 10 sites, but it was not observed in the remaining 61 sites. An additive effects model with conductivity and QHEI was selected as the best approximating model. Cambarusveteranus was associated with lower than average UGB conductivity (379 µS) and high (>80) QHEI score. All sites where C. veteranus was not detected had higher conductivity and/or lower QHEI scores.
","language":"English","publisher":"Oxford Academic","doi":"10.1163/1937240x-00002456","usgsCitation":"Loughman, Z.J., Welsh, S., Sadecky, N., Dillard, Z.W., and Scott, R.K., 2016, Environmental covariates associated with Cambarus veteranus (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA: Journal of Crustacean Biology, v. 36, no. 5, p. 642-648, https://doi.org/10.1163/1937240x-00002456.","productDescription":"7 p.","startPage":"642","endPage":"648","ipdsId":"IP-078754","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/1937240x-00002456","text":"Publisher Index Page"},{"id":340355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Upper Guyandotte River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.14501953125,\n 38.37611542403604\n ],\n [\n -80.83740234375,\n 38.315801006824984\n ],\n [\n -80.5517578125,\n 38.22091976683121\n ],\n [\n -80.26611328125,\n 38.08268954483802\n ],\n [\n -80.22216796875,\n 37.93553306183642\n ],\n [\n -80.343017578125,\n 37.75334401310656\n ],\n [\n -80.66162109375,\n 37.61423141542417\n ],\n [\n -81.01318359375,\n 37.501010429493284\n ],\n [\n -81.76025390625,\n 37.50972584293751\n ],\n [\n -81.968994140625,\n 37.58811876638322\n ],\n [\n -82.276611328125,\n 37.735969208590504\n ],\n [\n -82.37548828125,\n 37.95286091815649\n ],\n [\n -82.496337890625,\n 38.14319750166766\n ],\n [\n -82.4853515625,\n 38.28993659801203\n ],\n [\n -82.30957031249999,\n 38.41055825094609\n ],\n [\n -82.0458984375,\n 38.57393751557591\n ],\n [\n -81.82617187499999,\n 38.57393751557591\n ],\n [\n -81.507568359375,\n 38.53957267203905\n ],\n [\n -81.287841796875,\n 38.46219172306828\n ],\n [\n -81.14501953125,\n 38.37611542403604\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5ddd7","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":692923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadecky, Nicole M.","contributorId":179375,"corporation":false,"usgs":false,"family":"Sadecky","given":"Nicole M.","affiliations":[],"preferred":false,"id":692930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dillard, Zachary W.","contributorId":179376,"corporation":false,"usgs":false,"family":"Dillard","given":"Zachary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":692931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, R. Katie","contributorId":179377,"corporation":false,"usgs":false,"family":"Scott","given":"R.","email":"","middleInitial":"Katie","affiliations":[],"preferred":false,"id":692932,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185062,"text":"70185062 - 2016 - SNP discovery in candidate adaptive genes using exon capture in a free-ranging alpine ungulate","interactions":[],"lastModifiedDate":"2017-03-13T17:00:12","indexId":"70185062","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"SNP discovery in candidate adaptive genes using exon capture in a free-ranging alpine ungulate","docAbstract":"Identification of genes underlying genomic signatures of natural selection is key to understanding adaptation to local conditions. We used targeted resequencing to identify SNP markers in 5321 candidate adaptive genes associated with known immunological, metabolic and growth functions in ovids and other ungulates. We selectively targeted 8161 exons in protein-coding and nearby 5′ and 3′ untranslated regions of chosen candidate genes. Targeted sequences were taken from bighorn sheep (Ovis canadensis) exon capture data and directly from the domestic sheep genome (Ovis aries v. 3; oviAri3). The bighorn sheep sequences used in the Dall's sheep (Ovis dalli dalli) exon capture aligned to 2350 genes on the oviAri3 genome with an average of 2 exons each. We developed a microfluidic qPCR-based SNP chip to genotype 476 Dall's sheep from locations across their range and test for patterns of selection. Using multiple corroborating approaches (lositan and bayescan), we detected 28 SNP loci potentially under selection. We additionally identified candidate loci significantly associated with latitude, longitude, precipitation and temperature, suggesting local environmental adaptation. The three methods demonstrated consistent support for natural selection on nine genes with immune and disease-regulating functions (e.g. Ovar-DRA, APC, BATF2, MAGEB18), cell regulation signalling pathways (e.g. KRIT1, PI3K, ORRC3), and respiratory health (CYSLTR1). Characterizing adaptive allele distributions from novel genetic techniques will facilitate investigation of the influence of environmental variation on local adaptation of a northern alpine ungulate throughout its range. This research demonstrated the utility of exon capture for gene-targeted SNP discovery and subsequent SNP chip genotyping using low-quality samples in a nonmodel species.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.12560","usgsCitation":"Roffler, G.H., Amish, S.J., Smith, S., Cosart, T.F., Kardos, M., Schwartz, M.K., and Luikart, G., 2016, SNP discovery in candidate adaptive genes using exon capture in a free-ranging alpine ungulate: Molecular Ecology Resources, v. 16, no. 5, p. 1147-1164, https://doi.org/10.1111/1755-0998.12560.","productDescription":"18 p.","startPage":"1147","endPage":"1164","ipdsId":"IP-077118","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470614,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.12560","text":"Publisher Index Page"},{"id":337477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"58c7afa0e4b0849ce9795e9c","chorus":{"doi":"10.1111/1755-0998.12560","url":"http://dx.doi.org/10.1111/1755-0998.12560","publisher":"Wiley-Blackwell","authors":"Roffler Gretchen H., Amish Stephen J., Smith Seth, Cosart Ted, Kardos Marty, Schwartz Michael K., Luikart Gordon","journalName":"Molecular Ecology Resources","publicationDate":"7/18/2016"},"contributors":{"authors":[{"text":"Roffler, Gretchen H. groffler@usgs.gov","contributorId":1946,"corporation":false,"usgs":true,"family":"Roffler","given":"Gretchen","email":"groffler@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":684124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amish, Stephen J.","contributorId":104799,"corporation":false,"usgs":false,"family":"Amish","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":684170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Seth","contributorId":189234,"corporation":false,"usgs":false,"family":"Smith","given":"Seth","email":"","affiliations":[],"preferred":false,"id":684171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosart, Ted F.","contributorId":177052,"corporation":false,"usgs":false,"family":"Cosart","given":"Ted","email":"","middleInitial":"F.","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":684172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kardos, Marty","contributorId":189235,"corporation":false,"usgs":false,"family":"Kardos","given":"Marty","affiliations":[],"preferred":false,"id":684173,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":684174,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luikart, Gordon","contributorId":145746,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","email":"","affiliations":[{"id":16220,"text":"Flathead Lake Biological Station, Div. Biological Science, UM","active":true,"usgs":false}],"preferred":false,"id":684175,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70171053,"text":"70171053 - 2016 - Graptemys pearlensis Ennen, Lovich, Kreiser, Selman, and Qualls 2010 – Pearl River Map Turtle","interactions":[],"lastModifiedDate":"2016-09-01T13:43:51","indexId":"70171053","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Graptemys pearlensis Ennen, Lovich, Kreiser, Selman, and Qualls 2010 – Pearl River Map Turtle","docAbstract":"The Pearl River Map Turtle, Graptemys pearlensis (Family Emydidae), is a moderate-sized aquatic turtle endemic to the Pearl River drainage of Louisiana and Mississippi. This taxon has long been a cryptic species, as it was considered part of G. pulchra before 1992 and part of G. gibbonsi until 2010. Graptemys pearlensis exhibits sexual dimorphism, with adult females being considerably larger (carapace length to 295 mm) than adult males (CL to 121 mm). In the 1960s and 1970s, the species was commonly found in higher abundance than the sympatric G. oculifera, a federally listed species. However, due to habitat degradation and the precipitous decline of native mollusks, the species is now found in lower numbers than G. oculifera throughout much of its range. The current IUCN Red List status is Endangered; however, very little is known about the natural history and ecology of the species, which will make conservation efforts challenging.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Conservation biology of freshwater turtles and tortoises: A compilation project of the IUCN/SSC Tortoise and Freshwater Turtle Specialist Group","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Chelonian Research Foundation","doi":"10.3854/crm.5.094.pearlensis.v1.2016","usgsCitation":"Ennen, J., Lovich, J.E., and Jones, R.L., 2016, Graptemys pearlensis Ennen, Lovich, Kreiser, Selman, and Qualls 2010 – Pearl River Map Turtle, chap. of Conservation biology of freshwater turtles and tortoises: A compilation project of the IUCN/SSC Tortoise and Freshwater Turtle Specialist Group, v. 5, no. 9, p. 1-8, https://doi.org/10.3854/crm.5.094.pearlensis.v1.2016.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-053337","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470603,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3854/crm.5.094.pearlensis.v1.2016","text":"Publisher Index Page"},{"id":328177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321368,"type":{"id":15,"text":"Index Page"},"url":"https://www.iucn-tftsg.org/graptemys-pearlensis-094/"}],"volume":"5","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-04","publicationStatus":"PW","scienceBaseUri":"57c94319e4b0f2f0cec13551","contributors":{"editors":[{"text":"Rhodin, A. G. J.","contributorId":114192,"corporation":false,"usgs":true,"family":"Rhodin","given":"A.","email":"","middleInitial":"G. J.","affiliations":[],"preferred":false,"id":647774,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Pritchard, P. C. H.","contributorId":113118,"corporation":false,"usgs":true,"family":"Pritchard","given":"P.","email":"","middleInitial":"C. H.","affiliations":[],"preferred":false,"id":647775,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"van Dijk, P. P.","contributorId":113295,"corporation":false,"usgs":true,"family":"van Dijk","given":"P.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":647776,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Saumure, Raymond A.","contributorId":71375,"corporation":false,"usgs":false,"family":"Saumure","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":647777,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Buhlmann, K.A.","contributorId":112229,"corporation":false,"usgs":true,"family":"Buhlmann","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":647778,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Iverson, J. B.","contributorId":16364,"corporation":false,"usgs":true,"family":"Iverson","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":647779,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Mittermeier, R.A.","contributorId":37034,"corporation":false,"usgs":true,"family":"Mittermeier","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":647780,"contributorType":{"id":2,"text":"Editors"},"rank":7}],"authors":[{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":647772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":629687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Robert L.","contributorId":174223,"corporation":false,"usgs":false,"family":"Jones","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":647773,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188438,"text":"70188438 - 2016 - Holocene climate changes in eastern Beringia (NW North America) – A systematic review of multi-proxy evidence","interactions":[],"lastModifiedDate":"2017-06-09T14:10:37","indexId":"70188438","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Holocene climate changes in eastern Beringia (NW North America) – A systematic review of multi-proxy evidence","docAbstract":"Reconstructing climates of the past relies on a variety of evidence from a large number of sites to capture the varied features of climate and the spatial heterogeneity of climate change. This review summarizes available information from diverse Holocene paleoenvironmental records across eastern Beringia (Alaska, westernmost Canada and adjacent seas), and it quantifies the primary trends of temperature- and moisture-sensitive records based in part on midges, pollen, and biogeochemical indicators (compiled in the recently published Arctic Holocene database, and updated here to v2.1). The composite time series from these proxy records are compared with new summaries of mountain-glacier and lake-level fluctuations, terrestrial water-isotope records, sea-ice and sea-surface-temperature analyses, and peatland and thaw-lake initiation frequencies to clarify multi-centennial- to millennial-scale trends in Holocene climate change. To focus the synthesis, the paleo data are used to frame specific questions that can be addressed with simulations by Earth system models to investigate the causes and dynamics of past and future climate change. This systematic review shows that, during the early Holocene (11.7–8.2 ka; 1 ka = 1000 cal yr BP), rather than a prominent thermal maximum as suggested previously, temperatures were highly variable, at times both higher and lower than present (approximate mid-20th-century average), with no clear spatial pattern. Composited pollen, midge and other proxy records average out the variability and show the overall lowest summer and mean-annual temperatures across the study region during the earliest Holocene, followed by warming over the early Holocene. The sparse data available on early Holocene glaciation show that glaciers in southern Alaska were as extensive then as they were during the late Holocene. Early Holocene lake levels were low in interior Alaska, but moisture indicators show pronounced differences across the region. The highest frequency of both peatland and thaw-lake initiation ages also occurred during the early Holocene. During the middle Holocene (8.2–4.2 ka), glaciers retreated as the regional average temperature increased to a maximum between 7 and 5 ka, as reflected in most proxy types. Following the middle Holocene thermal maximum, temperatures decreased starting between 4 and 3 ka, signaling the onset of Neoglacial cooling. Glaciers in the Brooks and Alaska Ranges advanced to their maximum Holocene extent as lakes generally rose to modern levels. Temperature differences for averaged 500-year time steps typically ranged by 1–2 °C for individual records in the Arctic Holocene database, with a transition to a cooler late Holocene that was neither abrupt nor spatially coherent. The longest and highest-resolution terrestrial water isotope records previously interpreted to represent changes in the Aleutian low-pressure system around this time are here shown to be largely contradictory. Furthermore, there are too few records with sufficient resolution to identify sub-centennial-scale climate anomalies, such as the 8.2 ka event. The review concludes by suggesting some priorities for future paleoclimate research in the region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2015.10.021","usgsCitation":"Kaufman, D.S., Axford, Y.L., Henderson, A.C., McKay, N.P., Oswald, W., Saenger, C., Anderson, R., Bailey, H.L., Clegg, B., Gajewski, K., Hu, F.S., Jones, M.C., Massa, C., Routson, C.C., Werner, A., Wooller, M.J., and Yu, Z., 2016, Holocene climate changes in eastern Beringia (NW North America) – A systematic review of multi-proxy evidence: Quaternary Science Reviews, v. 147, p. 312-339, https://doi.org/10.1016/j.quascirev.2015.10.021.","productDescription":"28 p.","startPage":"312","endPage":"339","ipdsId":"IP-068458","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":470606,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2015.10.021","text":"Publisher Index Page"},{"id":342340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"147","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593bb3a0e4b0764e6c60e7b4","contributors":{"authors":[{"text":"Kaufman, Darrell S.","contributorId":192787,"corporation":false,"usgs":false,"family":"Kaufman","given":"Darrell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":697736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Axford, Yarrow L.","contributorId":192788,"corporation":false,"usgs":false,"family":"Axford","given":"Yarrow","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":697737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Andrew C.G.","contributorId":192789,"corporation":false,"usgs":false,"family":"Henderson","given":"Andrew","email":"","middleInitial":"C.G.","affiliations":[],"preferred":false,"id":697738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKay, Nicolas P.","contributorId":192790,"corporation":false,"usgs":false,"family":"McKay","given":"Nicolas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":697739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oswald, W. Wyatt","contributorId":192791,"corporation":false,"usgs":false,"family":"Oswald","given":"W. Wyatt","affiliations":[],"preferred":false,"id":697740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saenger, Casey","contributorId":192792,"corporation":false,"usgs":false,"family":"Saenger","given":"Casey","email":"","affiliations":[],"preferred":false,"id":697741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":697742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bailey, Hannah L.","contributorId":192793,"corporation":false,"usgs":false,"family":"Bailey","given":"Hannah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":697743,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clegg, Benjamin","contributorId":192794,"corporation":false,"usgs":false,"family":"Clegg","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":697744,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gajewski, Konrad","contributorId":192795,"corporation":false,"usgs":false,"family":"Gajewski","given":"Konrad","email":"","affiliations":[],"preferred":false,"id":697745,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hu, Feng Sheng","contributorId":192796,"corporation":false,"usgs":false,"family":"Hu","given":"Feng","email":"","middleInitial":"Sheng","affiliations":[],"preferred":false,"id":697746,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697735,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Massa, Charly","contributorId":192797,"corporation":false,"usgs":false,"family":"Massa","given":"Charly","email":"","affiliations":[],"preferred":false,"id":697747,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Routson, Cody C. 0000-0001-8694-7809","orcid":"https://orcid.org/0000-0001-8694-7809","contributorId":187600,"corporation":false,"usgs":false,"family":"Routson","given":"Cody","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697748,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Werner, Al","contributorId":192798,"corporation":false,"usgs":false,"family":"Werner","given":"Al","email":"","affiliations":[],"preferred":false,"id":697749,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wooller, Matthew J.","contributorId":192799,"corporation":false,"usgs":false,"family":"Wooller","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":697750,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yu, Zicheng 0000-0003-2358-2712","orcid":"https://orcid.org/0000-0003-2358-2712","contributorId":147521,"corporation":false,"usgs":false,"family":"Yu","given":"Zicheng","email":"","affiliations":[{"id":16857,"text":"Lehigh Univ.","active":true,"usgs":false}],"preferred":false,"id":697751,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ]}