The practice of conservation occurs within complex socioecological systems fraught with challenges that require transparent, defensible, and often socially engaged project planning and management. Planning and decision support frameworks are designed to help conservation practitioners increase planning rigor, project accountability, stakeholder participation, transparency in decisions, and learning. We describe and contrast five common frameworks within the context of six fundamental questions (why, who, what, where, when, how) at each of three planning stages of adaptive management (project scoping, operational planning, learning). We demonstrate that decision support frameworks provide varied and extensive tools for conservation planning and management. However, using any framework in isolation risks diminishing potential benefits since no one framework covers the full spectrum of potential conservation planning and decision challenges. We describe two case studies that have effectively deployed tools from across conservation frameworks to improve conservation actions and outcomes. Attention to the critical questions for conservation project planning should allow practitioners to operate within any framework and adapt tools to suit their specific management context. We call on conservation researchers and practitioners to regularly use decision support tools as standard practice for framing both practice and research.
","language":"English","publisher":"Wiley","doi":"10.1111/conl.12385","usgsCitation":"Schwartz, M.W., Cook, C.N., Pressey, R.L., Pullin, A.S., Runge, M.C., Salafsky, N., Sutherland, W.J., and Williamson, M.A., 2018, Decision support frameworks and tools for conservation: Conservation Letters, v. 11, no. 2, p. 1-12, https://doi.org/10.1111/conl.12385.","productDescription":"e12385; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-070227","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.12385","text":"Publisher Index Page"},{"id":353490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-23","publicationStatus":"PW","scienceBaseUri":"5afee6dae4b0da30c1bfbe9e","contributors":{"authors":[{"text":"Schwartz, Mark W.","contributorId":145938,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":733627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Carly N.","contributorId":204315,"corporation":false,"usgs":false,"family":"Cook","given":"Carly","email":"","middleInitial":"N.","affiliations":[{"id":36914,"text":"School of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia","active":true,"usgs":false}],"preferred":false,"id":733628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pressey, Robert L.","contributorId":204316,"corporation":false,"usgs":false,"family":"Pressey","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":36915,"text":"Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":733629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pullin, Andrew S.","contributorId":204317,"corporation":false,"usgs":false,"family":"Pullin","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":36916,"text":"Centre for Evidence-Based Conservation, Bangor University, Bangor, Gwynedd, LL57 2UW, UK","active":true,"usgs":false}],"preferred":false,"id":733630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":733626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salafsky, Nick","contributorId":204318,"corporation":false,"usgs":false,"family":"Salafsky","given":"Nick","email":"","affiliations":[{"id":36917,"text":"Foundations of Success, Bethesda, MD 20816, USA","active":true,"usgs":false}],"preferred":false,"id":733631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sutherland, William J.","contributorId":204319,"corporation":false,"usgs":false,"family":"Sutherland","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":36918,"text":"Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge CB2 3QZ, UK","active":true,"usgs":false}],"preferred":false,"id":733632,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williamson, Matthew A.","contributorId":201232,"corporation":false,"usgs":false,"family":"Williamson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":733633,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70196569,"text":"70196569 - 2018 - Thinning, tree-growth, and resistance to multi-year drought in a mixed-conifer forest of northern California","interactions":[],"lastModifiedDate":"2018-04-17T13:56:00","indexId":"70196569","displayToPublicDate":"2018-04-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Thinning, tree-growth, and resistance to multi-year drought in a mixed-conifer forest of northern California","docAbstract":"Drought is an important stressor in forest ecosystems that can influence tree vigor and survival. In the U.S., forest managers use two primary management techniques to promote resistance and resilience to drought: prescribed fire and mechanical thinning. Generally applied to reduce fuels and fire hazard, treatments may also reduce competition for resources that may improve tree-growth and reduce mortality during drought. A recent severe and prolonged drought in California provided a natural experiment to investigate tree-growth responses to fuel treatments and climatic stress. We assessed tree-growth from 299 ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) in treated and untreated stands during severe drought from 2012 to 2015 in the mixed-conifer forests of Whiskeytown National Recreation Area (WNRA) in northern California. The treatment implemented at WNRA removed 34% of live basal area through mechanical thinning with a subsequent pile burning of residual fuels. Tree-growth was positively associated with crown ratio and negatively associated with competition and a 1-year lag of climate water deficit, an index of drought. Douglas-fir generally had higher annual growth than ponderosa pine, although factors affecting growth were the same for both species. Drought resistance, expressed as the ratio between mean growth during drought and mean growth pre-drought, was higher in treated stands compared to untreated stands during both years of severe drought (2014 and 2015) for ponderosa pine but only one year (2014) for Douglas-fir. Thinning improved drought resistance, but tree size, competition and species influenced this response. On-going thinning treatments focused on fuels and fire hazard reduction are likely to be effective at promoting growth and greater drought resistance in dry mixed-conifer forests. Given the likelihood of future droughts, land managers may choose to implement similar treatments to reduce potential impacts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2018.03.043","usgsCitation":"Vernon, M.J., Sherriff, R.L., van Mantgem, P., and Kane, J.M., 2018, Thinning, tree-growth, and resistance to multi-year drought in a mixed-conifer forest of northern California: Forest Ecology and Management, v. 422, p. 190-198, https://doi.org/10.1016/j.foreco.2018.03.043.","productDescription":"9 p.","startPage":"190","endPage":"198","ipdsId":"IP-093097","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2018.03.043","text":"Publisher Index Page"},{"id":353489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"422","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dae4b0da30c1bfbe9c","contributors":{"authors":[{"text":"Vernon, Michael J.","contributorId":204321,"corporation":false,"usgs":false,"family":"Vernon","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":733635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherriff, Rosemary L.","contributorId":204199,"corporation":false,"usgs":false,"family":"Sherriff","given":"Rosemary","email":"","middleInitial":"L.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":733636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":733634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Jeffrey M.","contributorId":181978,"corporation":false,"usgs":false,"family":"Kane","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":733637,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196561,"text":"70196561 - 2018 - Cyclic heliothermal behaviour of the shallow, hypersaline Lake Hayward, Western Australia","interactions":[],"lastModifiedDate":"2018-04-17T10:34:23","indexId":"70196561","displayToPublicDate":"2018-04-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Cyclic heliothermal behaviour of the shallow, hypersaline Lake Hayward, Western Australia","docAbstract":"Lake Hayward is one of only about 30 hypersaline lakes worldwide that is meromictic and heliothermal and as such behaves as a natural salt gradient solar pond. Lake Hayward acts as a local groundwater sink, resulting in seasonally variable hypersaline lake water with total dissolved solids (TDS) in the upper layer (mixolimnion) ranging between 56 kg m−3 and 207 kg m−3 and the deeper layer (monimolimnion) from 153 kg m−3 to 211 kg m−3. This is up to six times the salinity of seawater and thus has the highest salinity of all eleven lakes in the Yalgorup National Park lake system. A program of continuously recorded water temperature profiles has shown that salinity stratification initiated by direct rainfall onto the lake’s surface and local runoff into the lake results in the onset of heliothermal conditions within hours of rainfall onset.
The lake alternates between being fully mixed and becoming thermally and chemically stratified several times during the annual cycle, with the longest extended periods of heliothermal behaviour lasting 23 and 22 weeks in the winters of 1992 and 1993 respectively. The objective was to quantify the heat budgets of the cyclical heliothermal behaviour of Lake Hayward.
During the period of temperature profile logging, the maximum recorded temperature of the monimolimnion was 42.6 °C at which time the temperature of the mixolimnion was 29.4 °C.
The heat budget of two closed heliothermal cycles initiated by two rainfall events of 50 mm and 52 mm in 1993 were analysed. The cycles prevailed for 11 and 20 days respectively and the heat budget showed net heat accumulations of 34.2 MJ m−3 and 15.4 MJ m−3, respectively. The corresponding efficiencies of lake heat gain to incident solar energy were 0.17 and 0.18 respectively. Typically, artificial salinity gradient solar ponds (SGSP) have a solar radiation capture efficiencies ranging from 0.10 up to 0.30. Results from Lake Hayward have implications for comparative biogeochemistry and its characteristics should aid in identification of other hitherto unknown heliothermal lakes.
Landscape connectivity is integral to the persistence of metapopulations of wide ranging carnivores and other terrestrial species. The objectives of this research were to investigate the landscape characteristics essential to use of areas by lynx and bobcats in northern New England, map a habitat availability model for each species, and explore connectivity across areas of the region likely to experience future development pressure. A Mahalanobis distance analysis was conducted on location data collected between 2005 and 2010 from 16 bobcats in western Vermont and 31 lynx in northern Maine to determine which variables were most consistent across all locations for each species using three scales based on average 1) local (15 minute) movement, 2) linear distance between daily locations, and 3) female home range size. The bobcat model providing the widest separation between used locations and random study area locations suggests that they cue into landscape features such as edge, availability of cover, and development density at different scales. The lynx model with the widest separation between random and used locations contained five variables including natural habitat, cover, and elevation—all at different scales. Shrub scrub habitat—where lynx’s preferred prey is most abundant—was represented at the daily distance moved scale. Cross validation indicated that outliers had little effect on models for either species. A habitat suitability value was calculated for each 30 m2 pixel across Vermont, New Hampshire, and Maine for each species and used to map connectivity between conserved lands within selected areas across the region. Projections of future landscape change illustrated potential impacts of anthropogenic development on areas lynx and bobcat may use, and indicated where connectivity for bobcats and lynx may be lost. These projections provided a guide for conservation of landscape permeability for lynx, bobcat, and species relying on similar habitats in the region.
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Jennifer","contributorId":204306,"corporation":false,"usgs":false,"family":"Vashon","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":733602,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freeman, Mark","contributorId":171650,"corporation":false,"usgs":false,"family":"Freeman","given":"Mark","email":"","affiliations":[],"preferred":false,"id":733603,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Royar, Kim","contributorId":9886,"corporation":false,"usgs":true,"family":"Royar","given":"Kim","affiliations":[],"preferred":false,"id":733604,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kilpatrick, C. William","contributorId":204307,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"C.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":733605,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196506,"text":"70196506 - 2018 - Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park","interactions":[],"lastModifiedDate":"2018-04-16T10:00:07","indexId":"70196506","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park","docAbstract":"Climate change will likely alter the seasonal and annual patterns of rainfall and temperature in Hawai`i. This is a major concern for resource managers at Hawai`i Volcanoes National Park where intensely managed Special Ecological Areas (SEAs), focal sites for managing rare and endangered plants, may no longer provide suitable habitat under future climate. Expanding invasive species’ distributions also may pose a threat to areas where native plants currently predominate. We combine recent climate modeling efforts for the state of Hawai`i with plant species distribution models to forecast changes in biodiversity in SEAs under future climate conditions. Based on this bioclimatic envelope model, we generated projected species range maps for four snapshots in time (2000, 2040, 2070, and 2090) to assess whether the range of 39 native and invasive species of management interest are expected to contract, expand, or remain the same under a moderately warmer and more variable precipitation scenario. Approximately two-thirds of the modeled native species were projected to contract in range, while one-third were shown to increase. Most of the park’s SEAs were projected to lose a majority of the native species modeled. Nine of the 10 modeled invasive species were projected to contract within the park; this trend occurred in most SEAs, including those at low, middle, and high elevations. There was good congruence in the current (2000) distribution of species richness and SEA configuration; however, the congruence between species richness hotspots and SEAs diminished by the end of this century. Over time the projected species-rich hotspots increasingly occurred outside of current SEA boundaries. Our research brought together managers and scientists to increase understanding of potential climate change impacts, and provide needed information to address how plants may respond under future conditions relative to current managed areas.","language":"English","publisher":"National Park Service","usgsCitation":"Camp, R.J., Loh, R., Berkowitz, S.P., Brinck, K.W., Jacobi, J.D., Price, J., McDaniel, S., and Fortini, L.B., 2018, Potential impacts of projected climate change on vegetation management in Hawai`i Volcanoes National Park: Park Science, v. 34, no. 1, p. 22-31.","productDescription":"10 p.","startPage":"22","endPage":"31","ipdsId":"IP-092427","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":353411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353347,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/parkscience34-1_22-31_camp_et_al_3875.htm"}],"country":"United States","state":"Hawai`i","otherGeospatial":"Hawai`i Volcanoes National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.8333,\n 19\n ],\n [\n -155,\n 19\n ],\n [\n -155,\n 19.55\n ],\n [\n -155.8333,\n 19.55\n ],\n [\n -155.8333,\n 19\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbec4","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":733305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loh, Rhonda","contributorId":191174,"corporation":false,"usgs":false,"family":"Loh","given":"Rhonda","email":"","affiliations":[],"preferred":false,"id":733306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berkowitz, S. Paul 0000-0002-4056-3735","orcid":"https://orcid.org/0000-0002-4056-3735","contributorId":204177,"corporation":false,"usgs":false,"family":"Berkowitz","given":"S.","email":"","middleInitial":"Paul","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":733307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":733308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":733309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Price, Jonathan","contributorId":187456,"corporation":false,"usgs":false,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":733310,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDaniel, Sierra","contributorId":204178,"corporation":false,"usgs":false,"family":"McDaniel","given":"Sierra","affiliations":[{"id":36871,"text":"Hawaii Volcanoes National Park, NPS","active":true,"usgs":false}],"preferred":false,"id":733311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fortini, Lucas B. 0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":733312,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70196526,"text":"70196526 - 2018 - High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","interactions":[],"lastModifiedDate":"2018-04-13T11:23:50","indexId":"70196526","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","title":"High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus)","docAbstract":"Increasingly, ecoimmunology studies aim to use relevant pathogen exposure to examine the impacts of infection on physiological processes in wild animals. Alphaviruses are arthropod-borne, single-stranded RNA (ssRNA) viruses (“arboviruses”) responsible for millions of cases of human illnesses each year. Buggy Creek virus (BCRV) is a unique alphavirus that is transmitted by a cimicid insect, the swallow bug, and is amplified in two avian species: the house sparrow (Passer domesticus) and the cliff swallow (Petrochelidon pyrrhonota). BCRV, like many alphaviruses, exhibits age-dependent susceptibility where the young are most susceptible to developing disease and exhibit a high mortality rate. However, alphavirus disease etiology in nestling birds is unknown. In this study, we infected nestling house sparrows with Buggy Creek virus and measured virological, pathological, growth, and digestive parameters following infection. Buggy Creek virus caused severe encephalitis in all infected nestlings, and the peak viral concentration in brain tissue was over 34 times greater than any other tissue. Growth, tissue development, and digestive function were all significantly impaired during BCRV infection. However, based on histopathological analysis performed, this impairment does not appear to be the result of direct tissue damage by the virus, but likely caused by encephalitis and neuronal invasion and impairment of the central nervous system. This is the first study to examine the course of alphavirus diseases in nestling birds and these results will improve our understanding of age-dependent infections of alphaviruses in vertebrate hosts.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0195467","usgsCitation":"Fassbinder-Orth, C.A., Killpack, T.L., Goto, D.S., Rainwater, E.L., and Shearn-Bochsler, V.I., 2018, High costs of infection: Alphavirus infection reduces digestive function and bone and feather growth in nestling house sparrows (Passer domesticus): PLoS ONE, v. 13, no. 4, p. 1-20, https://doi.org/10.1371/journal.pone.0195467.","productDescription":"e0195467; 20 9.","startPage":"1","endPage":"20","ipdsId":"IP-090694","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":468828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0195467","text":"Publisher Index Page"},{"id":353412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbec2","contributors":{"authors":[{"text":"Fassbinder-Orth, Carol A.","contributorId":176331,"corporation":false,"usgs":false,"family":"Fassbinder-Orth","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":733406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killpack, Tess L.","contributorId":204218,"corporation":false,"usgs":false,"family":"Killpack","given":"Tess","email":"","middleInitial":"L.","affiliations":[{"id":36879,"text":"Biology Department, Salem State University, 352 Lafayette Street, Salem MA, 01970","active":true,"usgs":false}],"preferred":false,"id":733409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goto, Dylan S.","contributorId":204216,"corporation":false,"usgs":false,"family":"Goto","given":"Dylan","email":"","middleInitial":"S.","affiliations":[{"id":36878,"text":"School of Medicine, 2500 California Plaza, Creighton University, Omaha, NE 68178","active":true,"usgs":false}],"preferred":false,"id":733407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rainwater, Ellecia L.","contributorId":204217,"corporation":false,"usgs":false,"family":"Rainwater","given":"Ellecia","email":"","middleInitial":"L.","affiliations":[{"id":36878,"text":"School of Medicine, 2500 California Plaza, Creighton University, Omaha, NE 68178","active":true,"usgs":false}],"preferred":false,"id":733408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":733405,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196519,"text":"70196519 - 2018 - Thermochronometry across the Austroalpine-Pennine boundary, Central Alps, Switzerland: Orogen-perpendicular normal fault slip on a major ‘overthrust’ and its implications for orogenesis","interactions":[],"lastModifiedDate":"2018-04-24T14:14:07","indexId":"70196519","displayToPublicDate":"2018-04-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Thermochronometry across the Austroalpine-Pennine boundary, Central Alps, Switzerland: Orogen-perpendicular normal fault slip on a major ‘overthrust’ and its implications for orogenesis","docAbstract":"Fifty‐one new and 309 published thermochronometric ages (nine systems with closure temperatures ranging from ~450 to 70°C) from the Graubünden region of the Central Alps demonstrate that a pronounced thermal mismatch between the Austroalpine allochthon (Alpine “orogenic lid”) and the Pennine zone persisted until at least 29 Ma and, allowably, until circa 18 Ma. The observed mismatch supports previous suggestions that the famous “overthrust” between the Austroalpine allochthon and the Pennine zone, historically regarded as primarily an Eocene top‐north thrust fault, is in fact primarily an Oligocene‐Miocene normal fault that has a minimum of 60 km of displacement with top‐south or top‐southeast sense of shear. Two hallmarks of Alpine geology, deposition of the foredeep Molasse and emplacement of the Helvetic nappes, appear to be coeval, peripheral manifestations of crustal thickening via the interposition of the Pennine zone as a northward intruding wedge between the Austroalpine “lid” and the European cratonic margin, with the Helvetic system (European margin) acting as the “floor” of the wedge. We presume the Penninic wedge is driven by the buoyant rise of subducted crust no longer able to remain attached to the descending slab. If so, emplacement of the Pennine wedge could have occurred mainly after Adria was juxtaposed against cratonic Europe.
","language":"English","publisher":"AGU","doi":"10.1002/2017TC004619","usgsCitation":"Price, J.B., Wernicke, B.P., Cosca, M.A., and Farley, K.A., 2018, Thermochronometry across the Austroalpine-Pennine boundary, Central Alps, Switzerland: Orogen-perpendicular normal fault slip on a major ‘overthrust’ and its implications for orogenesis: Tectonics, v. 37, no. 3, p. 724-757, https://doi.org/10.1002/2017TC004619.","productDescription":"34 p.","startPage":"724","endPage":"757","ipdsId":"IP-093107","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":468834,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017tc004619","text":"External Repository"},{"id":437950,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MK6C54","text":"USGS data release","linkHelpText":"Argon geochronology data from the Austroalpine-Pennine boundary, Central Alps, Switzerland"},{"id":353393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-07","publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed4","contributors":{"authors":[{"text":"Price, Jason B.","contributorId":204207,"corporation":false,"usgs":false,"family":"Price","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":36877,"text":"Cal Tech","active":true,"usgs":false}],"preferred":false,"id":733367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wernicke, Brian P.","contributorId":204208,"corporation":false,"usgs":false,"family":"Wernicke","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36877,"text":"Cal Tech","active":true,"usgs":false}],"preferred":false,"id":733368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farley, Kenneth A.","contributorId":204209,"corporation":false,"usgs":false,"family":"Farley","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[{"id":36877,"text":"Cal Tech","active":true,"usgs":false}],"preferred":false,"id":733369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196494,"text":"70196494 - 2018 - Toward a social-ecological theory of forest macrosystems for improved ecosystem management","interactions":[],"lastModifiedDate":"2018-04-11T14:29:12","indexId":"70196494","displayToPublicDate":"2018-04-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Toward a social-ecological theory of forest macrosystems for improved ecosystem management","docAbstract":"The implications of cumulative land-use decisions and shifting climate on forests, require us to integrate our understanding of ecosystems, markets, policy, and resource management into a social-ecological system. Humans play a central role in macrosystem dynamics, which complicates ecological theories that do not explicitly include human interactions. These dynamics also impact ecological services and related markets, which challenges economic theory. Here, we use two forest macroscale management initiatives to develop a theoretical understanding of how management interacts with ecological functions and services at these scales and how the multiple large-scale management goals work either in consort or conflict with other forest functions and services. We suggest that calling upon theories developed for organismal ecology, ecosystem ecology, and ecological economics adds to our understanding of social-ecological macrosystems. To initiate progress, we propose future research questions to add rigor to macrosystem-scale studies: (1) What are the ecosystem functions that operate at macroscales, their necessary structural components, and how do we observe them? (2) How do systems at one scale respond if altered at another scale? (3) How do we both effectively measure these components and interactions, and communicate that information in a meaningful manner for policy and management across different scales?
","language":"English","publisher":"MDPI","doi":"10.3390/f9040200","usgsCitation":"Kleindl, W.J., Stoy, P.C., Binford, M.W., Desai, A.R., Dietze, M., Schultz, C.A., Starr, G., Staudhammer, C., and Wood, D.J., 2018, Toward a social-ecological theory of forest macrosystems for improved ecosystem management: Forests, v. 9, no. 4, p. 1-23, https://doi.org/10.3390/f9040200.","productDescription":"Article 200; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-088625","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f9040200","text":"Publisher Index Page"},{"id":353329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-11","publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbeda","contributors":{"authors":[{"text":"Kleindl, William J.","contributorId":204156,"corporation":false,"usgs":false,"family":"Kleindl","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":733231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoy, Paul C.","contributorId":204157,"corporation":false,"usgs":false,"family":"Stoy","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":733232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Binford, Michael W.","contributorId":204161,"corporation":false,"usgs":false,"family":"Binford","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":733238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Desai, Ankur R. 0000-0002-5226-6041","orcid":"https://orcid.org/0000-0002-5226-6041","contributorId":20622,"corporation":false,"usgs":false,"family":"Desai","given":"Ankur","email":"","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":733233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietze, Mike","contributorId":190102,"corporation":false,"usgs":false,"family":"Dietze","given":"Mike","email":"","affiliations":[],"preferred":false,"id":733234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schultz, Courtney A.","contributorId":204158,"corporation":false,"usgs":false,"family":"Schultz","given":"Courtney","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":733235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Starr, Gregory","contributorId":100735,"corporation":false,"usgs":true,"family":"Starr","given":"Gregory","email":"","affiliations":[],"preferred":false,"id":733236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Staudhammer, Christina","contributorId":204160,"corporation":false,"usgs":false,"family":"Staudhammer","given":"Christina","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":733237,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, David J. A. 0000-0003-4315-5160 dwood@usgs.gov","orcid":"https://orcid.org/0000-0003-4315-5160","contributorId":177588,"corporation":false,"usgs":true,"family":"Wood","given":"David","email":"dwood@usgs.gov","middleInitial":"J. A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":733230,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196485,"text":"70196485 - 2018 - Non-native fishes of the central Indian River Lagoon","interactions":[],"lastModifiedDate":"2018-08-15T13:45:29","indexId":"70196485","displayToPublicDate":"2018-04-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1672,"text":"Florida Scientist","active":true,"publicationSubtype":{"id":10}},"title":"Non-native fishes of the central Indian River Lagoon","docAbstract":"We provide a comprehensive review of the status of non-native fishes in the central Indian River Lagoon (from Cape Canaveral to Grant-Valkaria, east of I-95) through literature review and field surveys. Historical records exist for 17 taxa (15 species, one hybrid, one species complex). We found historical records for one additional species, and collected one species in our field survey that had never been recorded in the region before (and which we eradicated). Thus, we evaluate 19 total taxa herein. Of these, we documented range expansion of four salt-tolerant cichlid species, extirpation of six species that were previously recorded from the area and eradication of three species. There was no noticeable change in geographic range for one widespread species and the records for one species are doubtful and may be erroneous. Currently, there is not enough information to evaluate geographic ranges for four species although at least one of those is established.","language":"English","publisher":"Florida Academy of Sciences","usgsCitation":"Schofield, P., Loftus, W.F., and Reaver, K.M., 2018, Non-native fishes of the central Indian River Lagoon: Florida Scientist, v. 18, p. 12-24.","productDescription":"9 p.","startPage":"12","endPage":"24","ipdsId":"IP-089776","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":353332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e4e4b0da30c1bfbee2","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":127812,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","email":"pschofield@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":733184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftus, William F.","contributorId":138881,"corporation":false,"usgs":false,"family":"Loftus","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":12560,"text":"Aquatic Research & Communication, LLC, Vero Beach, FL","active":true,"usgs":false}],"preferred":false,"id":733185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reaver, Kristen M. 0000-0003-2304-4674","orcid":"https://orcid.org/0000-0003-2304-4674","contributorId":204139,"corporation":false,"usgs":false,"family":"Reaver","given":"Kristen","email":"","middleInitial":"M.","affiliations":[{"id":36862,"text":"Cherokee Nations","active":true,"usgs":false}],"preferred":false,"id":733186,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196464,"text":"70196464 - 2018 - Methane in groundwater from a leaking gas well, Piceance Basin, Colorado, USA","interactions":[],"lastModifiedDate":"2018-04-10T11:07:39","indexId":"70196464","displayToPublicDate":"2018-04-10T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Methane in groundwater from a leaking gas well, Piceance Basin, Colorado, USA","docAbstract":"Site-specific and regional analysis of time-series hydrologic and geochemical data collected from 15 monitoring wells in the Piceance Basin indicated that a leaking gas well contaminated shallow groundwater with thermogenic methane. The gas well was drilled in 1956 and plugged and abandoned in 1990. Chemical and isotopic data showed the thermogenic methane was not from mixing of gas-rich formation water with shallow groundwater or natural migration of a free-gas phase. Water-level and methane-isotopic data, and video logs from a deep monitoring well, indicated that a shale confining layer ~125 m below the zone of contamination was an effective barrier to upward migration of water and gas. The gas well, located 27 m from the contaminated monitoring well, had ~1000 m of uncemented annular space behind production casing that was the likely pathway through which deep gas migrated into the shallow aquifer. Measurements of soil gas near the gas well showed no evidence of methane emissions from the soil to the atmosphere even though methane concentrations in shallow groundwater (16 to 20 mg/L) were above air-saturation levels. Methane degassing from the water table was likely oxidized in the relatively thick unsaturated zone (~18 m), thus rendering the leak undetectable at land surface. Drilling and plugging records for oil and gas wells in Colorado and proxies for depth to groundwater indicated thousands of oil and gas wells were drilled and plugged in the same timeframe as the implicated gas well, and the majority of those wells were in areas with relatively large depths to groundwater. This study represents one of the few detailed subsurface investigations of methane leakage from a plugged and abandoned gas well. As such, it could provide a useful template for prioritizing and assessing potentially leaking wells, particularly in cases where the leakage does not manifest itself at land surface.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.03.371","usgsCitation":"McMahon, P.B., Thomas, J.C., Crawford, J.T., Dornblaser, M.M., and Hunt, A.G., 2018, Methane in groundwater from a leaking gas well, Piceance Basin, Colorado, USA: Science of the Total Environment, v. 634, p. 791-801, https://doi.org/10.1016/j.scitotenv.2018.03.371.","productDescription":"11 p.","startPage":"791","endPage":"801","ipdsId":"IP-093525","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":353286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Piceance Basin","volume":"634","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e5e4b0da30c1bfbef0","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":733020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":733022,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249435,"text":"70249435 - 2018 - Rainfall over the African continent from the 19th through the 21st century","interactions":[],"lastModifiedDate":"2023-10-10T14:30:40.689814","indexId":"70249435","displayToPublicDate":"2018-04-06T09:22:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall over the African continent from the 19th through the 21st century","docAbstract":"Most of the African continent is semi-arid and hence prone to extreme variations in rainfall from year to year. The extreme droughts that have plagued the Sahel and eastern Africa are particularly well known. This article uses a markedly expanded and updated rainfall data set to examine rainfall variability in 13 sectors that cover most of the continent. Annual rainfall is presented for each sector; the March-to-May and October–November seasons are also examined for equatorial sectors. In each case, the article includes the longest and most comprehensive precipitation gauge series ever published. All time series cover at least a century and most cover roughly one and one-half centuries or more.
Although towards the end of the 20th century there was a widespread trend towards more arid conditions, few significant trends are evident over the entire period of record. The largest were downward trends in the Sahel and western sectors of North Africa. In those regions, an abrupt reduction in rainfall occurred around 1968, but a synchronous change occurred many other parts of Africa. A recovery did occur in the Sahel, but to varying degrees across the east-west expanse of the region. Noteworthy is that the west-to-east rainfall gradient across the region appears to have weakened in recent decades. For the continent as a whole, another change began in the 1980s decade, with more arid conditions persisting at the continental scale until early in the twenty-first century. No other such period of dry conditions occurred within the roughly one and one-half centuries evaluated here. A notable change also occurred at the seasonal level. During the period 1980 to 1998 rainfall during March-to-May was well below the long-term mean throughout most of the area from 20° N to 35° S. At the same time rainfall was above the long-term mean in most of eastern sectors within this latitude span, indicating a change in the seasonality of rainfall of a large part of Africa.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2017.12.014","usgsCitation":"Nicholson, S.E., Funk, C., and Fink, A.H., 2018, Rainfall over the African continent from the 19th through the 21st century: Global and Planetary Change, v. 165, p. 114-127, https://doi.org/10.1016/j.gloplacha.2017.12.014.","productDescription":"14 p.","startPage":"114","endPage":"127","ipdsId":"IP-086867","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468842,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gloplacha.2017.12.014","text":"Publisher Index Page"},{"id":421818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n 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-35.239184221599906\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"165","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nicholson, Sharon E.","contributorId":192112,"corporation":false,"usgs":false,"family":"Nicholson","given":"Sharon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":885611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fink, Andreas H. 0000-0002-5840-2120","orcid":"https://orcid.org/0000-0002-5840-2120","contributorId":330680,"corporation":false,"usgs":false,"family":"Fink","given":"Andreas","email":"","middleInitial":"H.","affiliations":[{"id":78964,"text":"University of Cologne: Cologne, Germany","active":true,"usgs":false}],"preferred":false,"id":885613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196412,"text":"70196412 - 2018 - Carnivore hotspots in Peninsular Malaysia and their landscape attributes","interactions":[],"lastModifiedDate":"2018-04-06T10:44:11","indexId":"70196412","displayToPublicDate":"2018-04-06T00:00:00","publicationYear":"2018","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":"Carnivore hotspots in Peninsular Malaysia and their landscape attributes","docAbstract":"Mammalian carnivores play a vital role in ecosystem functioning. However, they are prone to extinction because of low population densities and growth rates, and high levels of persecution or exploitation. In tropical biodiversity hotspots such as Peninsular Malaysia, rapid conversion of natural habitats threatens the persistence of this vulnerable group of animals. Here, we carried out the first comprehensive literature review on 31 carnivore species reported to occur in Peninsular Malaysia and updated their probable distribution. We georeferenced 375 observations of 28 species of carnivore from 89 unique geographic locations using records spanning 1948 to 2014. Using the Getis-Ord Gi*statistic and weighted survey records by IUCN Red List status, we identified hotspots of species that were of conservation concern and built regression models to identify environmental and anthropogenic landscape factors associated with Getis-Ord Gi* z scores. Our analyses identified two carnivore hotspots that were spatially concordant with two of the peninsula’s largest and most contiguous forest complexes, associated with Taman Negara National Park and Royal Belum State Park. A cold spot overlapped with the southwestern region of the Peninsula, reflecting the disappearance of carnivores with higher conservation rankings from increasingly fragmented natural habitats. Getis-Ord Gi* z scores were negatively associated with elevation, and positively associated with the proportion of natural land cover and distance from the capital city. Malaysia contains some of the world’s most diverse carnivore assemblages, but recent rates of forest loss are some of the highest in the world. Reducing poaching and maintaining large, contiguous tracts of lowland forests will be crucial, not only for the persistence of threatened carnivores, but for many mammalian species in general.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0194217","usgsCitation":"Ratnayeke, S., van Manen, F.T., Clements, G.R., Mohd Kulaimi, N.A., and Sharp, S.P., 2018, Carnivore hotspots in Peninsular Malaysia and their landscape attributes: PLoS ONE, v. 13, no. 4, p. 1-18, https://doi.org/10.1371/journal.pone.0194217.","productDescription":"e0194217; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-092271","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468846,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0194217","text":"Publisher Index Page"},{"id":353215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Malaysia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 99.931640625,\n 1.2303741774326145\n ],\n [\n 104.3701171875,\n 1.2303741774326145\n ],\n [\n 104.3701171875,\n 6.610044093207648\n ],\n [\n 99.931640625,\n 6.610044093207648\n ],\n [\n 99.931640625,\n 1.2303741774326145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-04","publicationStatus":"PW","scienceBaseUri":"5afee6e6e4b0da30c1bfbf10","contributors":{"authors":[{"text":"Ratnayeke, Shyamala","contributorId":203978,"corporation":false,"usgs":false,"family":"Ratnayeke","given":"Shyamala","email":"","affiliations":[{"id":36779,"text":"Department of Biological Sciences, Sunway University, Malaysia","active":true,"usgs":false}],"preferred":false,"id":732817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":732816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Gopalasamy Reuben","contributorId":203979,"corporation":false,"usgs":false,"family":"Clements","given":"Gopalasamy","email":"","middleInitial":"Reuben","affiliations":[{"id":36779,"text":"Department of Biological Sciences, Sunway University, Malaysia","active":true,"usgs":false}],"preferred":false,"id":732818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mohd Kulaimi, Noor Azleen","contributorId":203980,"corporation":false,"usgs":false,"family":"Mohd Kulaimi","given":"Noor","email":"","middleInitial":"Azleen","affiliations":[{"id":36780,"text":"Ex-Situ Conservation Division, Department of Wildlife and National Parks, Malaysia","active":true,"usgs":false}],"preferred":false,"id":732819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sharp, Stuart P.","contributorId":203981,"corporation":false,"usgs":false,"family":"Sharp","given":"Stuart","email":"","middleInitial":"P.","affiliations":[{"id":36781,"text":"Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK","active":true,"usgs":false}],"preferred":false,"id":732820,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198906,"text":"70198906 - 2018 - Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska","interactions":[],"lastModifiedDate":"2018-08-29T17:43:49","indexId":"70198906","displayToPublicDate":"2018-04-05T13:58:07","publicationYear":"2018","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":"Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska","docAbstract":"Western Alaska is a potential point-of-entry for foreign-origin influenza A viruses (IAVs) into North America via migratory birds. We sampled waterfowl and gulls for IAVs at Izembek National Wildlife Refuge (NWR) in western Alaska, USA, during late summer and autumn months of 2011–2015, to evaluate the abundance and diversity of viruses at this site. We collected 4842 samples across five years from 25 species of wild birds resulting in the recovery, isolation, and sequencing of 172 IAVs. With the intent of optimizing sampling efficiencies, we used information derived from this multi-year effort to: 1) evaluate from which species we consistently recover viruses, 2) describe viral subtypes of isolates by host species and year, 3) characterize viral gene segment sequence diversity with respect to host species, and assess potential differences in the viral lineages among the host groups, and 4) examine how evidence of intercontinental exchange of IAVs relates to host species. We consistently recovered viruses from dabbling ducks (Anas spp.), emperor geese (Chen canagica) and glaucous-winged gulls (Larus glaucescens). There was little evidence for differences in viral subtypes and diversity from different waterfowl hosts, however subtypes and viral diversity varied between waterfowl host groups and glaucous-winged gulls. Furthermore, higher proportions of viral sequences from northern pintails (Anas acuta), emperor geese and glaucous-winged gulls were grouped in phylogenetic clades that included IAV sequences originating from wild birds sampled in Asia as compared to non-pintail dabbling ducks, a difference that may be related to intercontinental migratory tendencies of host species. Our summary of research and surveillance efforts at Izembek NWR will assist in future prioritization of which hosts to sample and swab types to collect in Alaska and elsewhere in order to maximize isolate recovery, subtype and sequence diversity for resultant viruses, and detection of evidence for intercontinental viral exchange.
","language":"English ","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0195327","usgsCitation":"Reeves, A.B., Hall, J., Poulson, R., Donnelly, T.F., Stallknecht, D.E., and Ramey, A.M., 2018, Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska: PLoS ONE, v. 13, no. 4, e0195327; 26 p., https://doi.org/10.1371/journal.pone.0195327.","productDescription":"e0195327; 26 p.","ipdsId":"IP-093440","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":460961,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0195327","text":"Publisher Index Page"},{"id":437958,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JD4W2W","text":"USGS data release","linkHelpText":"Influenza A Virus Data from Migratory Birds, Izembek National Wildlife Refuge, Alaska"},{"id":356741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Izembek National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.42987060546875,\n 55.02802211299252\n ],\n [\n -162.46856689453125,\n 55.02802211299252\n ],\n [\n -162.46856689453125,\n 55.51774716789874\n ],\n [\n -163.42987060546875,\n 55.51774716789874\n ],\n [\n -163.42987060546875,\n 55.02802211299252\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-04-05","publicationStatus":"PW","scienceBaseUri":"5b98a2d9e4b0702d0e842fff","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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":743369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Jeffery S. 0000-0001-5599-2826","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":87049,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffery S.","affiliations":[],"preferred":false,"id":743370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":743371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donnelly, Tyrone F. tfdonnelly@usgs.gov","contributorId":4369,"corporation":false,"usgs":true,"family":"Donnelly","given":"Tyrone","email":"tfdonnelly@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":743372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":743374,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196950,"text":"70196950 - 2018 - Weather and landscape factors affect white-tailed deer neonate survival at ecologically important life stages in the Northern Great Plains","interactions":[],"lastModifiedDate":"2018-05-14T15:58:04","indexId":"70196950","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","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":"Weather and landscape factors affect white-tailed deer neonate survival at ecologically important life stages in the Northern Great Plains","docAbstract":"Offspring survival is generally more variable than adult survival and may limit population growth. Although white-tailed deer neonate survival has been intensively investigated, recent work has emphasized how specific cover types influence neonate survival at local scales (single study area). These localized investigations have often led to inconsistences within the literature. Developing specific hypotheses describing the relationships among environmental, habitat, and landscape factors influencing white-tailed deer neonate survival at regional scales may allow for detection of generalized patterns. Therefore, we developed 11 hypotheses representing the various effects of environmental (e.g., winter and spring weather), habitat (e.g., hiding and escape cover types), and landscape factors (e.g., landscape configuration regardless of specific cover type available) on white-tailed deer neonate survival up to one-month and from one- to three-months of age. At one-month, surviving fawns experienced a warmer lowest recorded June temperature and more June precipitation than those that perished. At three-months, patch connectance (percent of patches of the corresponding patch type that are connected within a predefined distance) positively influenced survival. Our results are consistent with white-tailed deer neonate ecology: increased spring temperature and precipitation are likely associated with a flush of nutritional resources available to the mother, promoting increased lactation efficiency and neonate growth early in life. In contrast, reduced spring temperature with increased precipitation place neonates at risk to hypothermia. Increased patch connectance likely reflects increased escape cover available within a neonate’s home range after they are able to flee from predators. If suitable escape cover is available on the landscape, then managers could focus efforts towards manipulating landscape configuration (patch connectance) to promote increased neonate survival while monitoring spring weather to assess potential influences on current year survival.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0195247","usgsCitation":"Michel, E.S., Jenks, J.A., Kaskie, K.D., Klaver, R.W., and Jensen, W.F., 2018, Weather and landscape factors affect white-tailed deer neonate survival at ecologically important life stages in the Northern Great Plains: PLoS ONE, v. 13, no. 4, p. 1-17, https://doi.org/10.1371/journal.pone.0195247.","productDescription":"e0195247; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-085827","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0195247","text":"Publisher Index Page"},{"id":354151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, North Dakota, South 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D.","contributorId":204831,"corporation":false,"usgs":false,"family":"Kaskie","given":"Kyle","email":"","middleInitial":"D.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":735117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":735114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, William F.","contributorId":204832,"corporation":false,"usgs":false,"family":"Jensen","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":36989,"text":"North Dakota Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":735118,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196360,"text":"70196360 - 2018 - Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity","interactions":[],"lastModifiedDate":"2018-04-03T14:09:14","indexId":"70196360","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity","docAbstract":"One of the primary goals of biological assessment of streams is to identify which of a suite of chemical stressors is limiting their ecological potential. Elevated metal concentrations in streams are often associated with low pH, yet the effects of these two potentially limiting factors of freshwater biodiversity are rarely considered to interact beyond the effects of pH on metal speciation. Using a dataset from two continents, a biogeochemical model of the toxicity of metal mixtures (Al, Cd, Cu, Pb, Zn) and quantile regression, we addressed the relative importance of both pH and metals as limiting factors for macroinvertebrate communities. Current environmental quality standards for metals proved to be protective of stream macroinvertebrate communities and were used as a starting point to assess metal mixture toxicity. A model of metal mixture toxicity accounting for metal interactions was a better predictor of macroinvertebrate responses than a model considering individual metal toxicity. We showed that the direct limiting effect of pH on richness was of the same magnitude as that of chronic metal toxicity, independent of its influence on the availability and toxicity of metals. By accounting for the direct effect of pH on macroinvertebrate communities, we were able to determine that acidic streams supported less diverse communities than neutral streams even when metals were below no-effect thresholds. Through a multivariate quantile model, we untangled the limiting effect of both pH and metals and predicted the maximum diversity that could be expected at other sites as a function of these variables. This model can be used to identify which of the two stressors is more limiting to the ecological potential of running waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2017.12.097","usgsCitation":"Fornaroli, R., Ippolito, A., Tolkkinen, M.J., Mykra, H., Muotka, T., Balistrieri, L.S., and Schmidt, T., 2018, Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity: Environmental Pollution, v. 235, p. 889-898, https://doi.org/10.1016/j.envpol.2017.12.097.","productDescription":"10 p.","startPage":"889","endPage":"898","ipdsId":"IP-079637","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":437964,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7R20ZJW","text":"USGS data release","linkHelpText":"Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity: datasets"},{"id":353113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"235","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf3d","contributors":{"authors":[{"text":"Fornaroli, Riccardo","contributorId":201354,"corporation":false,"usgs":false,"family":"Fornaroli","given":"Riccardo","email":"","affiliations":[],"preferred":false,"id":732575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ippolito, Alessio","contributorId":201355,"corporation":false,"usgs":false,"family":"Ippolito","given":"Alessio","email":"","affiliations":[],"preferred":false,"id":732576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tolkkinen, Mari J.","contributorId":201357,"corporation":false,"usgs":false,"family":"Tolkkinen","given":"Mari","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":732578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mykra, Heikki","contributorId":201358,"corporation":false,"usgs":false,"family":"Mykra","given":"Heikki","email":"","affiliations":[],"preferred":false,"id":732579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muotka, Timo","contributorId":201359,"corporation":false,"usgs":false,"family":"Muotka","given":"Timo","email":"","affiliations":[],"preferred":false,"id":732580,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732577,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196330,"text":"70196330 - 2018 - Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood","interactions":[],"lastModifiedDate":"2018-04-03T13:48:19","indexId":"70196330","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood","docAbstract":"At approximately 18.0 ka, pluvial Lake Bonneville reached its maximum level. At its northeastern extent it was impounded by alluvium of the Marsh Creek Fan, which breached at some point north of Red Rock Pass (Idaho), leading to one of the largest floods on Earth. About 5320 km3 of water was discharged into the Snake River drainage and ultimately into the Columbia River. We use a 0D model and a 2D non-linear depth-averaged hydrodynamic model to aid understanding of outflow dynamics, specifically evaluating controls on the amount of water exiting the Lake Bonneville basin exerted by the Red Rock Pass outlet lithology and geometry as well as those imposed by the internal lake geometry of the Bonneville basin. These models are based on field evidence of prominent lake levels, hypsometry and terrain elevations corrected for post-flood isostatic deformation of the lake basin, as well as reconstructions of the topography at the outlet for both the initial and final stages of the flood. Internal flow dynamics in the northern Lake Bonneville basin during the flood were affected by the narrow passages separating the Cache Valley from the main body of Lake Bonneville. This constriction imposed a water-level drop of up to 2.7 m at the time of peak-flow conditions and likely reduced the peak discharge at the lake outlet by about 6%. The modeled peak outlet flow is 0.85·106 m3 s−1. Energy balance calculations give an estimate for the erodibility coefficient for the alluvial Marsh Creek divide of ∼0.005 m y−1 Pa−1.5, at least two orders of magnitude greater than for the underlying bedrock at the outlet. Computing quasi steady-state water flows, water elevations, water currents and shear stresses as a function of the water-level drop in the lake and for the sequential stages of erosion in the outlet gives estimates of the incision rates and an estimate of the outflow hydrograph during the Bonneville Flood: About 18 days would have been required for the outflow to grow from 10% to 100% of its peak value. At the time of peak flow, about 10% of the lake volume would have already exited; eroding about 1 km3 of alluvium from the outlet, and the lake level would have dropped by about 10.6 m.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.03.065","usgsCitation":"Abril-Hernandez, J.M., Perianez, R., O'Connor, J., and Garcia-Castellanos, D., 2018, Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood: Journal of Hydrology, v. 561, p. 1-15, https://doi.org/10.1016/j.jhydrol.2018.03.065.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-096400","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":487510,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://idus.us.es/handle//11441/129885","text":"External Repository"},{"id":353067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5,\n 38\n ],\n [\n -111.5,\n 38\n ],\n [\n -111.5,\n 42.5\n ],\n [\n -114.5,\n 42.5\n ],\n [\n -114.5,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"561","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf5b","contributors":{"authors":[{"text":"Abril-Hernandez, Jose M.","contributorId":203798,"corporation":false,"usgs":false,"family":"Abril-Hernandez","given":"Jose","email":"","middleInitial":"M.","affiliations":[{"id":36718,"text":"University of Seville, Departamento de Física Aplicada I, ETSIA, Sevilla, Spain.","active":true,"usgs":false}],"preferred":false,"id":732348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perianez, Raul","contributorId":203799,"corporation":false,"usgs":false,"family":"Perianez","given":"Raul","email":"","affiliations":[{"id":36719,"text":"University of Seville, Departamento de Física Aplicada I, ETSIA, Sevilla, Spain","active":true,"usgs":false}],"preferred":false,"id":732349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":732347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia-Castellanos, Daniel","contributorId":203800,"corporation":false,"usgs":false,"family":"Garcia-Castellanos","given":"Daniel","email":"","affiliations":[{"id":36720,"text":"Instituto de Ciencias de la Tierra Jaume Almera, ICTJA-CSIC, Solé i Sabarís s/n, 08028 Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":732350,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200890,"text":"70200890 - 2018 - Characterizing the source of potentially asbestos-bearing commercial vermiculite insulation using in situ IR spectroscopy","interactions":[],"lastModifiedDate":"2025-01-29T16:56:13.712949","indexId":"70200890","displayToPublicDate":"2018-04-01T15:16:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the source of potentially asbestos-bearing commercial vermiculite insulation using in situ IR spectroscopy","docAbstract":"Commercially produced vermiculite insulation from Libby, Montana, contains trace levels of asbestiform amphibole, which is known to cause asbestos-related diseases. When vermiculite insulation is found in a building, evaluation for its potential asbestos content traditionally involves collecting a sample from an attic or wall and submitting it for time-consuming analyses at an off-site laboratory. The goal of this study was to determine if in situ near-infrared reflectance measurements could be used to reliably identify the source of vermiculite ore and therefore its potential to contain asbestos. Spectra of 52 expanded ore samples, including attic insulation, commercial packing materials, and horticultural products from Libby, Montana; Louisa, Virginia; Enoree, South Carolina; Palabora, South Africa; and Jiangsu, China, were measured with a portable spectrometer. The mine sources for these vermiculite ores were identified based on collection location, when known, and on differences in elemental composition as measured by electron probe microanalysis. Reflectance spectra of the insulation samples show vibrational overtone and combination absorptions that vary in wavelength position and relative intensity depending on elemental composition and proportions of their constituent micas (i.e., vermiculite ore usually consists of a mixture of hydrobiotite and vermiculite mineral flakes). Band depth ratios of the 1.38/2.32, 1.40/1.42, and 2.24/2.38 μm absorptions allow determination of a vermiculite insulation's source and detection of its potential to contain amphibole, talc, and/or serpentine impurities. Spectroscopy cannot distinguish asbestiform vs. non-asbestiform amphiboles. However, if the spectrally determined mica composition and mineralogy of an insulation sample is consistent with ore from Libby, then it is likely that some portion of the sodic-calcic amphibole it contains is asbestiform, given that all of the nearly two dozen Libby vermiculite insulation samples examined with scanning electron microscopy in this study contain amphiboles. One sample of expanded vermiculite ore from multiple sources was recognized as a limitation of the spectral method, therefore an additional test (i.e., 2.24 μm absorption position vs. 2.24/2.38 μm band depth ratio) was incorporated into the spectral method to eliminate misclassification caused by such mixtures. With portable field spectrometers, the methodology developed can be used to determine vermiculite insulation's source and estimate its potential amphibole content, thereby providing low-cost analysis with onsite reporting to property owners.
","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2018-6022","usgsCitation":"Swayze, G.A., Lowers, H.A., Benzel, W., Clark, R.N., Driscoll, R.L., Perlman, Z.S., Hoefen, T.M., and Dyar, M., 2018, Characterizing the source of potentially asbestos-bearing commercial vermiculite insulation using in situ IR spectroscopy: American Mineralogist, v. 103, no. 4, p. 517-549, https://doi.org/10.2138/am-2018-6022.","productDescription":"33 p.","startPage":"517","endPage":"549","ipdsId":"IP-077538","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":359431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362678,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70200890/70200890.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}}],"volume":"103","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bed4275e4b0b3fc5cf91c96","contributors":{"authors":[{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Rhonda L. 0000-0001-7725-8956 rdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-8956","contributorId":745,"corporation":false,"usgs":true,"family":"Driscoll","given":"Rhonda","email":"rdriscoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perlman, Zac S.","contributorId":210618,"corporation":false,"usgs":false,"family":"Perlman","given":"Zac","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":751263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751264,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dyar, M. Darby","contributorId":14314,"corporation":false,"usgs":true,"family":"Dyar","given":"M. Darby","affiliations":[],"preferred":false,"id":751265,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70198423,"text":"70198423 - 2018 - Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains","interactions":[],"lastModifiedDate":"2018-08-03T14:31:56","indexId":"70198423","displayToPublicDate":"2018-04-01T14:31:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains","docAbstract":"Because moderate to over-abundant white-tailed deer (Odocoileus virginianus) herbivory impacts biodiversity and can alter community function, ecological benchmarks of herbivory impact are needed to assess deer impacts. We evaluated spatial patterns of deer herbivory and their relation to herbivory assessment by evaluating woody vegetation along 20 transects at each of 30 sites spread across a wide range of deer herd densities and vegetative condition throughout the biodiverse Appalachian Mountains of Virginia, USA. Surprisingly, herbivory patterns and the availability of woody forage generally were unchanged among physiographic regions and land use diversity classes. However, some relationships between browsing pattern and vegetation varied with scale. The total quantity of vegetation browsed on a given site and at the transect scale were related positively to the availability of forage, as the proportion of stems browsed decreased as stem density increased. However, this was only true when all stems were considered equally. When stem densities by species were weighted for deer preference, the proportion of stems browsed had no relationship or increased with stem density. Compared to the value from all transects sampled, on average, the mean of ≥ 3 transects within a site was within 0.1 of the browsing ratio and stem densities were within 0.5 stems m−2. Our results suggest that one transect per square kilometer with a minimum of three transects may be sufficient for most browsing intensity survey requirements to assess herbivory impacts in the Appalachian region of Virginia. Still, inclusion of spatial factors to help partition variation of deer herbivory potentially may allow for improved precision and accuracy in the design of field herbivory impact assessment methods and improve their application across various landscape contexts.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-018-6627-1","usgsCitation":"Kniowski, A.B., and Ford, W., 2018, Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains: Environmental Monitoring and Assessment, v. 190, p. 1-13, https://doi.org/10.1007/s10661-018-6627-1.","productDescription":"Article 248; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-084036","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468865,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99349","text":"External Repository"},{"id":356154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.69384765625,\n 36.589068371399115\n ],\n [\n -77.442626953125,\n 36.589068371399115\n ],\n [\n -77.442626953125,\n 39.51251701659638\n ],\n [\n -83.69384765625,\n 39.51251701659638\n ],\n [\n -83.69384765625,\n 36.589068371399115\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"190","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-25","publicationStatus":"PW","scienceBaseUri":"5b6fc473e4b0f5d57878ea8a","contributors":{"authors":[{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":741598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":741378,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199113,"text":"70199113 - 2018 - Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA","interactions":[],"lastModifiedDate":"2018-09-05T10:23:38","indexId":"70199113","displayToPublicDate":"2018-04-01T10:23:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA","docAbstract":"Recovering endangered species populations when confronted with the threat of invasive species is an ongoing natural resource management challenge. While eradication of the invasive species is often the optimal economic solution, it may not be a feasible nor desirable management action in other cases. For example, when invasive species are desired in one area, but disperse into areas managed for endangered species, managers may be interested in persistent, but cost-effective means of managing dispersers rather than eradicating the source. In the Colorado River, a nonnative rainbow trout (Oncorhynchus mykiss) sport fishery is desired within Glen Canyon National Recreation Area, however, dispersal downriver into the Grand Canyon National Park is not desired as rainbow trout negatively affect endangered humpback chub (Gila cypha). Here, we developed a bioeconomic model incorporating population abundance goals and cost-effectiveness analyses to approximate the optimal control strategies for invasive rainbow trout conditional on achieving endangered humpback chub adult population abundance goals. Model results indicated that the most cost-effective approach to achieve target adult humpback chub abundance was a high level of rainbow trout control over moderately high rainbow trout population abundance. Adult humpback chub abundance goals were achieved at relatively low rainbow trout abundance and control measures were not cost-effective at relatively high rainbow trout abundance. Our model considered population level dynamics, species interaction and economic costs in a multi-objective decision framework to provide a preferred solution to long-run management of invasive and native species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.01.032","usgsCitation":"Bair, L.S., Yackulic, C.B., Springborn, M.R., Reimer, M.N., Bond, C.A., and Coggins, L.G., 2018, Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA: Biological Conservation, v. 220, p. 12-20, https://doi.org/10.1016/j.biocon.2018.01.032.","productDescription":"9 p.","startPage":"12","endPage":"20","ipdsId":"IP-088418","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468867,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.01.032","text":"Publisher Index Page"},{"id":437969,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K16QPJ","text":"USGS data release","linkHelpText":"Bioeconomic model population data, Grand Canyon, Arizona, USA"},{"id":357075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112,\n 36\n ],\n [\n -111.4013671875,\n 36\n ],\n [\n -111.4013671875,\n 37\n ],\n [\n -112,\n 37\n ],\n [\n -112,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"220","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2e2e4b0702d0e843005","contributors":{"authors":[{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Springborn, Michael R.","contributorId":207552,"corporation":false,"usgs":false,"family":"Springborn","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":37562,"text":"University of California Davis, 1 Shields Avenue Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":744145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reimer, Matthew N.","contributorId":200052,"corporation":false,"usgs":false,"family":"Reimer","given":"Matthew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":744146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Craig A.","contributorId":207553,"corporation":false,"usgs":false,"family":"Bond","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":37563,"text":"RAND Corporation, 1200 S. Hayes St. Arlington, VA, 22202, USA","active":true,"usgs":false}],"preferred":false,"id":744147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coggins, Lewis G.","contributorId":207554,"corporation":false,"usgs":false,"family":"Coggins","given":"Lewis","email":"","middleInitial":"G.","affiliations":[{"id":37564,"text":"U.S. Fish and Wildlife Service, PO Box 346, Bethel, AK, 99559, USA","active":true,"usgs":false}],"preferred":false,"id":744148,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205660,"text":"70205660 - 2018 - The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist","interactions":[],"lastModifiedDate":"2019-10-02T16:40:57","indexId":"70205660","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3152,"text":"Proceedings of the Entomological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist","docAbstract":"An annotated checklist is provided for 243 species and subspecies of bees collected from or thought to occur in the state of Louisiana, where 163 are confirmed records, 46 are probable records, and 34 are possible records. We also list twelve records considered to be “dubious” because of the absence of supporting collection data and extralimital reported ranges. Data on parish localities, seasonality, and floral records are provided when available. Specimen data are provided from two separate surveys in the state, one focusing on the fauna of longleaf pine savannas and another focusing on Cajun prairie habitat in southwestern Louisiana. Data from a previous annotated checklist of bees from longleaf pine savannas (Bartholomew et al. 2006) are included, as well as online records from the Discover Life checklist (Ascher and Pickering 2016), and bee holdings of the Louisiana State Arthropod Museum (LSAM, Louisiana State University, Baton Rouge, LA).We highlight the role that this museum and similar small institutional insect collections play in documenting faunas on local and regional scales.","language":"English","publisher":"Entomological Society of Washington","doi":"10.4289/0013-8797.120.2.272","usgsCitation":"Owens, B.E., Allain, L.K., VanGorder, E.C., Bossart, J.L., and Carlton, C.E., 2018, The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist: Proceedings of the Entomological Society of Washington, v. 120, no. 2, p. 272-307, https://doi.org/10.4289/0013-8797.120.2.272.","productDescription":"36 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\"}}]}","volume":"120","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Owens, Brittany E.","contributorId":219331,"corporation":false,"usgs":false,"family":"Owens","given":"Brittany","email":"","middleInitial":"E.","affiliations":[{"id":39992,"text":"Louisiana State Arthropod Museum, Dept. of Entomology, LSU","active":true,"usgs":false}],"preferred":false,"id":772004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":772003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanGorder, Eric C.","contributorId":219332,"corporation":false,"usgs":false,"family":"VanGorder","given":"Eric","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":772005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bossart, Janice L.","contributorId":219333,"corporation":false,"usgs":false,"family":"Bossart","given":"Janice","email":"","middleInitial":"L.","affiliations":[{"id":39993,"text":"Dept. of Biological Sciences, Southeastern Louisiana University","active":true,"usgs":false}],"preferred":false,"id":772006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlton, Christopher E.","contributorId":191860,"corporation":false,"usgs":false,"family":"Carlton","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":772007,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196698,"text":"70196698 - 2018 - Reexamining the frequency range of hearing in silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp","interactions":[],"lastModifiedDate":"2018-04-26T11:00:16","indexId":"70196698","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reexamining the frequency range of hearing in silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp","title":"Reexamining the frequency range of hearing in silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp","docAbstract":"Silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp (collectively bigheaded carp) are invasive fish that threaten aquatic ecosystems in the upper Midwest United States and the Laurentian Great Lakes. Controlling bigheaded carp is a priority of fisheries managers and one area of focus involves developing acoustic deterrents to prevent upstream migration. For an acoustic deterrent to be effective however, the hearing ability of bigheaded carp must be characterized. A previous study showed that bigheaded carp detected sound up to 3 kHz but this range is narrower than what has been reported for other ostariophysans. Therefore, silver and bighead carp frequency detection was evaluated in response to 100 Hz to 9 kHz using auditory evoked potentials (AEPs). AEPs were recorded from 100 Hz to 5 kHz. The lowest thresholds were at 500 Hz for both species (silver carp threshold: 80.6 ± 3.29 dB re 1 μPa SPLrms, bighead carp threshold: 90.5 ± 5.75 dB re 1 μPa SPLrms; mean ± SD). These results provide fisheries managers with better insight on effective acoustic stimuli for deterrent systems, however, to fully determine bigheaded carp hearing abilities, these results need to be compared with behavioral assessments.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0192561","usgsCitation":"Vetter, B.J., Brey, M.K., and Meninger, A.F., 2018, Reexamining the frequency range of hearing in silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp: PLoS ONE, v. 13, no. 3, p. 1-15, https://doi.org/10.1371/journal.pone.0192561.","productDescription":"e0192561; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-089923","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468875,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0192561","text":"Publisher Index Page"},{"id":437974,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M61JH0","text":"USGS data release","linkHelpText":"Reexamining silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp hearing: Data"},{"id":353725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-09","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf87","contributors":{"authors":[{"text":"Vetter, Brooke J.","contributorId":189377,"corporation":false,"usgs":false,"family":"Vetter","given":"Brooke","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":734019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":734018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meninger, Allen F. 0000-0002-9850-798X","orcid":"https://orcid.org/0000-0002-9850-798X","contributorId":204458,"corporation":false,"usgs":false,"family":"Meninger","given":"Allen","email":"","middleInitial":"F.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":734020,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196759,"text":"70196759 - 2018 - From top to bottom: Do Lake Trout diversify along a depth gradient in Great Bear Lake, NT, Canada?","interactions":[],"lastModifiedDate":"2018-04-30T10:35:55","indexId":"70196759","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","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":"From top to bottom: Do Lake Trout diversify along a depth gradient in Great Bear Lake, NT, Canada?","docAbstract":"Depth is usually considered the main driver of Lake Trout intraspecific diversity across lakes in North America. Given that Great Bear Lake is one of the largest and deepest freshwater systems in North America, we predicted that Lake Trout intraspecific diversity to be organized along a depth axis within this system. Thus, we investigated whether a deep-water morph of Lake Trout co-existed with four shallow-water morphs previously described in Great Bear Lake. Morphology, neutral genetic variation, isotopic niches, and life-history traits of Lake Trout across depths (0–150 m) were compared among morphs. Due to the propensity of Lake Trout with high levels of morphological diversity to occupy multiple habitat niches, a novel multivariate grouping method using a suite of composite variables was applied in addition to two other commonly used grouping methods to classify individuals. Depth alone did not explain Lake Trout diversity in Great Bear Lake; a distinct fifth deep-water morph was not found. Rather, Lake Trout diversity followed an ecological continuum, with some evidence for adaptation to local conditions in deep-water habitat. Overall, trout caught from deep-water showed low levels of genetic and phenotypic differentiation from shallow-water trout, and displayed higher lipid content (C:N ratio) and occupied a higher trophic level that suggested an potential increase of piscivory (including cannibalism) than the previously described four morphs. Why phenotypic divergence between shallow- and deep-water Lake Trout was low is unknown, especially when the potential for phenotypic variation should be high in deep and large Great Bear Lake. Given that variation in complexity of freshwater environments has dramatic consequences for divergence, variation in the complexity in Great Bear Lake (i.e., shallow being more complex than deep), may explain the observed dichotomy in the expression of intraspecific phenotypic diversity between shallow- vs. deep-water habitats. The ambiguity surrounding mechanisms driving divergence of Lake Trout in Great Bear Lake should be seen as reflective of the highly variable nature of ecological opportunity and divergent natural selection itself.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0193925","usgsCitation":"Chavarie, L., Howland, K.L., Harris, L.N., Hansen, M.J., Harford, W.J., Gallagher, C.P., Baillie, S.M., Malley, B., Tonn, W.M., Muir, A., and Krueger, C., 2018, From top to bottom: Do Lake Trout diversify along a depth gradient in Great Bear Lake, NT, Canada?: PLoS ONE, v. 13, no. 3, p. 1-28, https://doi.org/10.1371/journal.pone.0193925.","productDescription":"e0193925; 28 p.","startPage":"1","endPage":"28","ipdsId":"IP-094088","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":468876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0193925","text":"Publisher Index Page"},{"id":353850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories","otherGeospatial":"Great Bear Lake","volume":"13","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-22","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf7f","contributors":{"authors":[{"text":"Chavarie, Louise","contributorId":156227,"corporation":false,"usgs":false,"family":"Chavarie","given":"Louise","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":734262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howland, Kimberly L.","contributorId":72682,"corporation":false,"usgs":true,"family":"Howland","given":"Kimberly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Les N.","contributorId":204527,"corporation":false,"usgs":false,"family":"Harris","given":"Les","email":"","middleInitial":"N.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":734261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harford, William J.","contributorId":71078,"corporation":false,"usgs":true,"family":"Harford","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":734265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallagher, Colin P.","contributorId":204529,"corporation":false,"usgs":false,"family":"Gallagher","given":"Colin","email":"","middleInitial":"P.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baillie, Shauna M.","contributorId":176176,"corporation":false,"usgs":false,"family":"Baillie","given":"Shauna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malley, Brendan","contributorId":204531,"corporation":false,"usgs":false,"family":"Malley","given":"Brendan","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734268,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tonn, William M.","contributorId":204532,"corporation":false,"usgs":false,"family":"Tonn","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":734269,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Muir, Andrew M.","contributorId":103933,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew M.","affiliations":[],"preferred":false,"id":734270,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":734271,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70197880,"text":"70197880 - 2018 - 2018 one‐year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes","interactions":[],"lastModifiedDate":"2018-06-25T11:02:24","indexId":"70197880","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"2018 one‐year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes","docAbstract":"This article describes the U.S. Geological Survey (USGS) 2018 one‐year probabilistic seismic hazard forecast for the central and eastern United States from induced and natural earthquakes. For consistency, the updated 2018 forecast is developed using the same probabilistic seismicity‐based methodology as applied in the two previous forecasts. Rates of earthquakes across the United States
The umbrella species concept, wherein multiple species are indirectly protected under the umbrella of a reserve created for one, is intended to enhance conservation efficiency. Although appealing in theory and common in practice, empirical tests of the concept have been scarce. We used a real-world, semi-protected reserve established to protect a high-profile umbrella species (greater sage-grouse [Centrocercus urophasianus]) to investigate 2 potential mechanisms underlying the concept's successful application: reserve size and species similarity. We estimated how much habitat protection the established reserve provided to 52 species of conservation concern associated with vegetation communities where greater sage-grouse occur. To illustrate the importance of reserve size, we compared the effectiveness of the established reserve to alternative greater sage-grouse reserves of various sizes and to simulated reserves of equal size but sited with no regard for greater sage-grouse. We further assessed whether key species’ traits were associated with different levels of protection under the umbrella reserve. The established umbrella reserve protected 82% of the state's greater sage-grouse population and 0–63% of the habitat of the background species examined. The reserve outperformed equally sized, simulated reserves for only 12 of 52 background species. As expected, larger alternative reserves served as better umbrellas, but regardless of reserve size, not all species received equal protection. The established reserve was most effective at protecting the habitat of species that were most similar to the umbrella species (i.e., avian species, those highly associated with sagebrush plant communities, and those with widespread habitat). In contrast, the habitat of species with restricted distributions, particularly when combined with vegetation associations not closely matching the umbrella species, was not protected as well by the umbrella reserve. Such species require additional, targeted attention to achieve conservation objectives. Successful application of the umbrella species concept requires careful consideration of the characteristics of the umbrella species, the reserve delineated on its behalf, and the similarity of the umbrella species to its purported background species.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21460","usgsCitation":"Carlisle, J.D., Keinath, D.A., Albeke, S., and Chalfoun, A.D., 2018, Identifying holes in the greater sage-grouse conservation umbrella: Journal of Wildlife Management, v. 82, no. 5, p. 948-957, https://doi.org/10.1002/jwmg.21460.","productDescription":"10 p.","startPage":"948","endPage":"957","ipdsId":"IP-096753","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468879,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10552612","text":"External Repository"},{"id":395347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.07177734375,\n 41.00477542222947\n ],\n [\n -104.04052734375,\n 41.00477542222947\n ],\n [\n -104.04052734375,\n 45.00365115687186\n ],\n [\n -111.07177734375,\n 45.00365115687186\n ],\n [\n -111.07177734375,\n 41.00477542222947\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlisle, Jason D.","contributorId":272319,"corporation":false,"usgs":false,"family":"Carlisle","given":"Jason","email":"","middleInitial":"D.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":832931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keinath, Douglas A.","contributorId":274356,"corporation":false,"usgs":false,"family":"Keinath","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":832932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albeke, Shannon E.","contributorId":244121,"corporation":false,"usgs":false,"family":"Albeke","given":"Shannon E.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":832933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832934,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}