{"pageNumber":"988","pageRowStart":"24675","pageSize":"25","recordCount":165521,"records":[{"id":70200830,"text":"70200830 - 2017 - Using science to inform management and improve biological conservation in the Desert Renewable Energy Conservation Plan","interactions":[],"lastModifiedDate":"2019-03-21T13:06:16","indexId":"70200830","displayToPublicDate":"2017-01-01T13:52:39","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using science to inform management and improve biological conservation in the Desert Renewable Energy Conservation Plan","docAbstract":"The Mojave and Colorado deserts of southern California have been viewed as vast wilderness since early exploration and, until recently, were considered the most untrammeled among western landscapes in the contiguous lower 48 states (United States Department of Agriculture 1893; Leu et al. 2008). However, the factors that define desert wilderness—small human population, temperature differentials that create unrelenting winds, low rainfall, and cloudless skies—are attractive for renewable energy development. The demand for clean, renewable energy is a national and regional priority and has increased demand for large-scale solar and wind farms in the deserts, particularly in California. The need to balance these national and state energy priorities with existing natural resource and land conservation policies has emerged as a landscape-scale land-use planning initiative known as the Desert Renewable Energy Conservation Plan (DRECP). One of the primary goals for the DRECP was to establish Development Focus Areas (DFAs) where high-quality renewable energy potential of up to 20 gigawatts (GW) could be implemented by the year 2040. DFAs were designed to provide expedited project approvals in locations where environmental impacts could be managed and mitigated, and proximity to transmission corridors provides for the efficient dissemination of energy to users. The DRECP also aims to identify protections for natural resources, recreation, and cultural resources. This plan identifies 37 covered species that receive special consideration in the DRECP. Among the special considerations are climate adaptation requirements, such as the ability to maintain population connectivity through wildlife corridors, while protecting several special recreation areas and 32,000 known cultural sites that are dispersed throughout the region. \nWe evaluated several particular aspects of the DRECP design and process. In particular, we examined land designations in relation to published studies on Mohave ground squirrel (Xerospermophilus mohavensis) habitat and genetic diversity patterns of a suite of broadly distributed desert animal species. The squirrel and its habitat are of particular interest because the entire range of the squirrel is encompassed by the DRECP. We describe the framework of the DRECP, provide a case study of how the DRECP accommodates the needs of the Mohave ground squirrel and its habitat, illustrate DFAs in relation to the genetic diversity of a broad range of terrestrial biota, and conclude with some observations on how land-use issues were resolved across the landscape under various scenarios.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Transactions of the 82nd North American Wildlife and Natural Resources Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"82nd North American Wildlife and Natural Resources Conference","conferenceDate":"March 5-10, 2017","conferenceLocation":"Spokane, WA","language":"English","publisher":"Wildlife Management Institute","usgsCitation":"Esque, T., Fesnock-Parker, A., Croft, B., Chen, F., and Vandergast, A.G., 2017, Using science to inform management and improve biological conservation in the Desert Renewable Energy Conservation Plan, <i>in</i> Transactions of the 82nd North American Wildlife and Natural Resources Conference, Spokane, WA, March 5-10, 2017.","ipdsId":"IP-085853","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":359575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359212,"type":{"id":15,"text":"Index Page"},"url":"https://wildlifemanagement.institute/store/product/69"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf3d9f3e4b045bfcae0c9bf","contributors":{"authors":[{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fesnock-Parker, Amy","contributorId":140129,"corporation":false,"usgs":false,"family":"Fesnock-Parker","given":"Amy","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":750794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Croft, Brian","contributorId":210468,"corporation":false,"usgs":false,"family":"Croft","given":"Brian","email":"","affiliations":[{"id":38112,"text":"USFWS, Palm Springs Fish and Wildlife Office","active":true,"usgs":false}],"preferred":false,"id":750795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Felicia 0000-0002-7408-5946","orcid":"https://orcid.org/0000-0002-7408-5946","contributorId":210469,"corporation":false,"usgs":true,"family":"Chen","given":"Felicia","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750797,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200548,"text":"70200548 - 2017 - A report on genetic affinities and relatedness of Agassiz’s desert tortoises (Gopherus agassizii) at opposite ends of the Coachella Valley in California","interactions":[],"lastModifiedDate":"2018-11-16T13:48:23","indexId":"70200548","displayToPublicDate":"2017-01-01T13:48:17","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"A report on genetic affinities and relatedness of Agassiz’s desert tortoises (Gopherus agassizii) at opposite ends of the Coachella Valley in California","docAbstract":"<p>This report summarizes the results for mtDNA and STR genotyping of 41 desert tortoise (Gopherus agassizii) DNA samples from opposite sides of the Coachella Valley: one sample from the west side at the Mesa wind energy facility in the Whitewater Hills and the other from the mouth of Cottonwood Canyon in Joshua Tree National Park, both within the boundaries of the Coachella Valley Multiple Species Habitat Conservation Plan. Additional samples were collected from tortoises on the northern bajadas of the Orocopia Mountains and from the Santa Rosa Mountains and those results will be presented at a later time in a scientific publication. We tested samples for their mtDNA haplotype and 25 STR loci previously used in other studies. We performed assignment testing to determine the genetic affinity of each individual to the geographic region of collection. Despite apparent isolation, both populations appear to be naturally occurring and do exhibit indications of having experienced increased genetic drift (resulting in increased homozygosity, increased inbreeding or a reduction of genetic diversity). The lack of strong evidence for genetic isolation suggests that long-term maintenance of unfragmented landscapes is an important part of tortoise conservation in the region.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coachella Valley Multiple Species Habitat Conservation Plan/Natural Community Conservation Plan—2017 Annual Report","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Coachella Valley Conservation Commission","usgsCitation":"Lovich, J.E., Edwards, T., Kreiser, B., Puffer, S., and Agha, M., 2017, A report on genetic affinities and relatedness of Agassiz’s desert tortoises (Gopherus agassizii) at opposite ends of the Coachella Valley in California, 16 p.","productDescription":"16 p.","startPage":"131","endPage":"146","ipdsId":"IP-088375","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":359522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358700,"type":{"id":15,"text":"Index Page"},"url":"https://www.cvmshcp.org/Annual%20Reports/Annual%20Report%202017.pdf"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bde4b045bfcadf7f4a","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":749481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Taylor","contributorId":210006,"corporation":false,"usgs":false,"family":"Edwards","given":"Taylor","email":"","affiliations":[{"id":38044,"text":"University of Arizona Genetics Core, 1657 E. Helen Street, Room 111, University of Arizona, Tucson, AZ 85721","active":true,"usgs":false}],"preferred":false,"id":749483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreiser, Brian","contributorId":210007,"corporation":false,"usgs":false,"family":"Kreiser","given":"Brian","affiliations":[{"id":38045,"text":"University of Southern Mississippi, Department of Biological Sciences, Hattiesburg, MS 39406","active":true,"usgs":false}],"preferred":false,"id":749484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":749482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":749485,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202263,"text":"70202263 - 2017 - Ecology of the Eastern Kingsnake (Lampropeltis getula) at Rainey Slough, Florida: A vanished Eden","interactions":[],"lastModifiedDate":"2019-02-19T12:33:11","indexId":"70202263","displayToPublicDate":"2017-01-01T12:33:04","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1896,"text":"Herpetological Monographs","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ecology of the Eastern Kingsnake (<i>Lampropeltis getula</i>) at Rainey Slough, Florida: A vanished Eden","title":"Ecology of the Eastern Kingsnake (Lampropeltis getula) at Rainey Slough, Florida: A vanished Eden","docAbstract":"<p><span>Eastern Kingsnakes (</span><i>Lampropeltis getula</i><span>) are an important component and predator in herpetofaunal communities, but many Eastern Kingsnake populations have declined precipitously in the last few decades, particularly in the southeastern United States. Here, we describe an intensive capture–mark–recapture study of&nbsp;</span><i>L. getula</i><span>&nbsp;conducted during 1974–1978 in a canal bank–Water Hyacinth (</span><i><span class=\"genus-species\">Eichhornia crassipes</span></i><span>) community at Rainey Slough in southern Florida, where annual capture probabilities of adults ranged from 0.662–0.787. Population size and structure, seasonal activity, movements, microhabitat use, behavior, thermal ecology, and predator–prey relationships are described. At this site kingsnakes were susceptible to capture mostly in winter and spring, were diurnal, used rodent (</span><i><span class=\"genus-species\">Sigmodon hispidus</span></i><span>) burrows on canal banks as nocturnal retreats, and emerged from burrows on 13–26% of the sampling days. Overlap of burrow use by both sexes was extensive with no evidence of territoriality. Kingsnakes readily entered the Water Hyacinths to bask, pursue mates, and forage. At Rainey Slough only snakes were detected in the diet of kingsnakes. Concurrent sampling of potential snake prey in the hyacinths and on canal banks revealed 10 species that varied in use of the two sampled habitats and in body size. A range-wide analysis confirmed that in descending order snakes, reptile eggs, and lizards dominate the diet of&nbsp;</span><i>L. getula</i><span>&nbsp;in Florida (94.8%) and remain important prey types elsewhere (80.2%). At Rainey Slough the density of six species of semiaquatic snakes in Water Hyacinths averaged 3534 individuals/ha with a mean annual biomass of 135.8 kg/ha, and kingsnake biomass was only 2.2–3.9% of prey snake biomass. We estimated that the kingsnake population consumed 36.82–63.58 kg/yr, or about 10.0–17.2% of the standing crop of snakes in the Water Hyacinth community. Adult male&nbsp;</span><i>L. getula</i><span>&nbsp;lost on average 39.3% of their body mass associated with the spring reproductive season, whereas females lost only 3.4% in the same period. Body condition indices for both sexes improved substantially thereafter. In follow-up surveys at Rainey Slough during 2006–2010 no kingsnakes were found. Semiaquatic snake densities in the Water Hyacinths were 77.2% lower (807.4/ha) than in the 1970s and consisted of only three species. Compared to the enigmatic declines and extirpation of&nbsp;</span><i>L. getula</i><span>&nbsp;populations elsewhere, at Rainey Slough the primary cause likely was unsustainable mortality from road reconstruction and paving in the winter–spring of 1979 and subsequent roadkill. Other potentially causative agents of extirpation of&nbsp;</span><i>L. getula</i><span>&nbsp;in this system are discussed.</span></p>","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/HERPMONOGRAPHS-D-16-00006.1","usgsCitation":"Godley, J.S., Halstead, B., and McDiarmid, R.W., 2017, Ecology of the Eastern Kingsnake (Lampropeltis getula) at Rainey Slough, Florida: A vanished Eden: Herpetological Monographs, v. 31, no. 1, p. 47-68, https://doi.org/10.1655/HERPMONOGRAPHS-D-16-00006.1.","productDescription":"12 p.","startPage":"47","endPage":"68","ipdsId":"IP-075489","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Rainey Slough","volume":"31","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Godley, J. Steve","contributorId":213355,"corporation":false,"usgs":false,"family":"Godley","given":"J.","email":"","middleInitial":"Steve","affiliations":[{"id":38739,"text":"Cardno, 3905 Crescent Park Drive, Riverview, FL, 33578, USA","active":true,"usgs":false}],"preferred":false,"id":757546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":757545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200604,"text":"70200604 - 2017 - Impacts of mastication fuel treatments on California, USA, chaparral vegetation structure and composition","interactions":[],"lastModifiedDate":"2018-10-25T12:08:09","indexId":"70200604","displayToPublicDate":"2017-01-01T12:08:02","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of mastication fuel treatments on California, USA, chaparral vegetation structure and composition","docAbstract":"<p><span>Mechanical fuel treatments are a primary pre-fire strategy for potentially mitigating the threat of wildland fire, yet there is limited information on how they impact shrubland ecosystems. Our goal was to assess the impact of mechanical mastication fuel treatments on chaparral vegetation and to determine the extent to which they emulate early post-fire succession. Mastication treatments significantly reduced the height and cover of woody vegetation and increased herbaceous cover and diversity. Non-native cover, density, and diversity were also significantly higher in masticated treatments. Comparisons with post-fire data from two studies showed that certain ephemeral post-fire endemics were absent or of limited occurrence from masticated plots in comparison to their abundance on adjacent burned plots. Structurally, masticated sites differed in the dense woody debris cover, whereas burned sites had little such ground cover. Regional comparison of masticated plots to previously published post-fire studies found that burned sites had greater cover, density, and diversity of native species. However, masticated sites and burned sites were broadly similar in distribution of different growth forms. Results from our study show that the use of mastication fuel treatments in chaparral are not in alignment with some resource conservation goals, but in some cases it is recognized that such sacrifice of natural resources may be an acceptable tradeoff to potentially mitigating fire hazard.</span></p>","language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.130312013","usgsCitation":"Brennan, T.J., and Keeley, J.E., 2017, Impacts of mastication fuel treatments on California, USA, chaparral vegetation structure and composition: Fire Ecology, v. 13, no. 3, p. 120-138, https://doi.org/10.4996/fireecology.130312013.","productDescription":"19 p.","startPage":"120","endPage":"138","ipdsId":"IP-076074","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470162,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.130312013","text":"Publisher Index Page"},{"id":438458,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73776V9","text":"USGS data release","linkHelpText":"Survey Data for Chaparral Vegetation in Masticated Fuel Treatments on the four Southern California National Forests (2011-2012)"},{"id":358812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.7674560546875,\n              32.56996256044998\n            ],\n            [\n              -115.99914550781249,\n              32.56996256044998\n            ],\n            [\n              -115.99914550781249,\n              35.106428057364255\n            ],\n            [\n              -119.7674560546875,\n              35.106428057364255\n            ],\n            [\n              -119.7674560546875,\n              32.56996256044998\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-01","publicationStatus":"PW","scienceBaseUri":"5c10acd3e4b034bf6a7e6e3f","contributors":{"authors":[{"text":"Brennan, Teresa J. 0000-0002-0646-3298 tjbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-0646-3298","contributorId":4323,"corporation":false,"usgs":true,"family":"Brennan","given":"Teresa","email":"tjbrennan@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":749710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":749709,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201659,"text":"70201659 - 2017 - Climate change and collapsing thermal niches of Mexican endemic reptiles","interactions":[],"lastModifiedDate":"2018-12-21T09:36:43","indexId":"70201659","displayToPublicDate":"2017-01-01T11:43:46","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Climate change and collapsing thermal niches of Mexican endemic reptiles","docAbstract":"<p>Recent climate change should result in expansion of species to northern or high elevation range margins, and contraction at southern and low elevation margins due to extinction. Climate models predict dramatic extinctions and distributional shifts in the next century, but there are few ground-truths of these dire forecasts leading to uncertainty in predicting extinctions due to climate change. Previously, we reported on recent extinctions of Mexican Sceloporus lizards by comparing recent surveys to historical distributional records for 48 species at 200 sites. We also ground-truthed extinctions on five continents across 8 lizard families by comparing observed and predicted extinctions from an eco-physiological species distribution model and obtained a high R 2 of 0.72 (1, 2). Here, we derive more detailed predictions for 15 terrestrial reptile families and 142 species for the Mexican and California Biogeographic provinces using all known museum occurrence records, and detailed measures on eco-physiology. We adopt the eco-physiological model of extinction developed earlier but use a species-specific model. We predict massive and rapid extinctions of 22% of the reptile populations in Mexico within the next 50 years. We also predict that 3 of 15 reptile families, all three endemic to the Mexican and Californian biogeographic provinces, will go extinct by 2070, the hallmark of the beginnings of a mass extinction event. However, extinctions may be attenuated by forest cover and by presence of montane environments in contemporary ranges. We describe impacts of altitude on three species (Gopherus morafkai, G. evgoodei, and Gambelia sila) to illustrate regional management strategies (AZ-Mexico, Sinoloa, CA) for reserves in tandem with global strategies of CO2 limits that might limit climate impacts. By carefully selecting new montane preserves adjacent to desert and tropical forest habitats, and by implementing global controls on atmospheric CO2 emissions, extinctions may be reduced to less than 11% of species and only a single reptile family.</p>","language":"English","publisher":"University of California Mexico Initiative","usgsCitation":"Sinervo, B., Miles, D.B., Lara Resendiz, R.A., Lovich, J.E., Ennen, J.R., Muller, J., Cooper, R.D., Rosen, P.C., Stewart, J.A., Santos, J.C., Sites, J.W., Gibbons, P., Goode, E., Hillard, L.S., Welton, L., Agha, M., Caetano, G., Vaughn, M., Melendez Torres, C., Gadsden, H., Castenada Gaytan, G., Galina-Tessaro, P., Valle Jimenez, F.I., Valdez-Villavicencio, J.H., Martinez Mendez, N., Woolrich Pina, G., Luja Molina, V., Diaz de la Vega Perez, A., Arenas Moreno, D.M., Dominguez Guerrero, S., Fierro, N., Butterfield, S., Westpha, M., Huey, R.B., Mautz, W., Sánchez-Cordero, V., and Mendez de la Cruz, F.R., 2017, Climate change and collapsing thermal niches of Mexican endemic reptiles, 21 p.","productDescription":"21 p.","ipdsId":"IP-090219","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":360623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360587,"type":{"id":15,"text":"Index Page"},"url":"https://escholarship.org/uc/item/4xk077hp"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb860e4b0708288c83836","contributors":{"authors":[{"text":"Sinervo, Barry","contributorId":139508,"corporation":false,"usgs":false,"family":"Sinervo","given":"Barry","email":"","affiliations":[{"id":12781,"text":"Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA. lizardrps@gmail.com","active":true,"usgs":false}],"preferred":false,"id":754754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miles, Donald B.","contributorId":211745,"corporation":false,"usgs":false,"family":"Miles","given":"Donald","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":754770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lara Resendiz, Rafael A.","contributorId":211744,"corporation":false,"usgs":false,"family":"Lara Resendiz","given":"Rafael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":754769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":754771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ennen, Joshua R.","contributorId":83858,"corporation":false,"usgs":true,"family":"Ennen","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":754772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muller, Johannes","contributorId":211746,"corporation":false,"usgs":false,"family":"Muller","given":"Johannes","email":"","affiliations":[],"preferred":false,"id":754773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooper, Robert D.","contributorId":211747,"corporation":false,"usgs":false,"family":"Cooper","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":754774,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosen, Philip C.","contributorId":70311,"corporation":false,"usgs":true,"family":"Rosen","given":"Philip","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":754775,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stewart, Joseph A. 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,{"id":70202008,"text":"70202008 - 2017 - Strontium isotopic systematics of mineralized and background water samples, Montezuma Mining District, Colorado","interactions":[],"lastModifiedDate":"2019-02-05T11:23:52","indexId":"70202008","displayToPublicDate":"2017-01-01T11:23:44","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Strontium isotopic systematics of mineralized and background water samples, Montezuma Mining District, Colorado","docAbstract":"<p>Surface and groundwater samples within the Montezuma mining district were sampled to evaluate the use of strontium isotopic compositions as signatures of different water types. Waters draining Precambrian metamorphic units had distinctly higher 87Sr/ 86Sr values (0.72893 to 0.73833) than waters draining Tertiaryage plutonic rocks (0.71064 and 0.71114). Waters draining mine workings along Tertiary-age mineralized veins in Precambrian metamorphic units had isotopic compositions between these two endmembers such that Sr isotopic composition could not be used as a unique signature of mining-related waters. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 12th International Symposium on Applied Isotope Geochemistry (AIG-12)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"12th International Symposium on Applied Isotope Geochemistry (AIG-12)","conferenceDate":"September 17-22, 2017","conferenceLocation":"Coppper Mountain, CO","language":"English","publisher":"International Association of GeoChemistry","usgsCitation":"Verplanck, P.L., and Runkel, R.L., 2017, Strontium isotopic systematics of mineralized and background water samples, Montezuma Mining District, Colorado, <i>in</i> Proceedings of the 12th International Symposium on Applied Isotope Geochemistry (AIG-12), Coppper Mountain, CO, September 17-22, 2017, 5 p.","productDescription":"5 p.","ipdsId":"IP-087838","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":361019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361018,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.appliedisotopegeochemistry.com/queries/AIG/Abstracts.jsp"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756640,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199144,"text":"70199144 - 2017 - Adaptive harvest management for the Svalbard population of pink-footed geese (Anser brachyrhynchus)","interactions":[],"lastModifiedDate":"2018-09-11T10:57:33","indexId":"70199144","displayToPublicDate":"2017-01-01T10:57:27","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5740,"text":"EGMP Technical Report","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"5","displayTitle":"Adaptive harvest management for the Svalbard population of pink-footed geese (<i>Anser brachyrhynchus</i>)","title":"Adaptive harvest management for the Svalbard population of pink-footed geese (Anser brachyrhynchus)","docAbstract":"<p>This document describes progress to date on the development of an adaptive harvest-management strategy for maintaining the Svalbard population of pink-footed geese (Anser brachyrhynchus) near their target level (60,000) by providing for sustainable harvests in Norway and Denmark. Specifically, this report provides an assessment of the most recent monitoring information and its implications for the harvest management strategy. </p><p>The development of an adaptive harvest management (AHM) strategy requires specification of four elements: (a) a set of alternative population models, which bound the uncertainty about effects of harvest and other relevant environmental factors; (b) a set of probabilities (or weights) describing the relative credibility of the alternative models, which are updated each year based on a comparison of model predictions and monitoring information; (c) a set of alternative harvest quotas from which to choose; and (d) a management objective function, by which alternative harvest strategies can be evaluated and a mathematically optimal strategy identified. </p><p>By combining varying hypotheses about survival and reproduction, a suite of nine models were developed. Those models represent a wide range of possibilities concerning the extent to which demographic rates are density dependent, and the extent to which spring temperatures influence survival and reproduction. Five of the models incorporate density-dependent mechanisms that would maintain the population near a carrying capacity (i.e., in the absence of harvest) of 65,000 – 129,000 depending on the specific model. The remaining four models are density independent and predict an exponentially growing population even with moderate levels of harvest. </p><p>The most current set of monitoring information was used to update model weights for the period 1991 – 2016. Current model weights suggest little evidence for density-dependent survival and reproduction. These results suggest that the pink-footed goose population may have recently experienced a release from density-dependent mechanisms, corresponding to the period of most rapid growth in population size. There is equivocal evidence for the effect of May temperature days in Svalbard (number of days with temperatures above freezing) on survival and reproduction. </p><p>Beginning with the 2016 hunting season, harvest quotas are chosen on an annual basis rather than every three years because of the potential to better meet management objectives. The optimal harvest strategy, however, remains “knife-edged,” meaning that small changes in resource status can precipitate large changes in the annual harvest quota. This potential outcome is likely to be of concern to hunters, and we are investigating ways in which large swings in harvest quotas might be dampened. Based on updated model probabilities, the recent observations of record-high population size (88,000), the aboveaverage proportion of the population comprised of one-year-old birds (0.196), and temperature days in Svalbard (4), the suggested harvest quota for the 2017 hunting season is 36,000. Last year the quota was 25,000, yet a harvest of only 16,143 was realized. We are increasingly concerned that with the return of average spring temperatures in Svalbard, the population will continue to grow beyond managers’ ability to control it, as is the case with many goose populations in Europe and North America.</p>","language":"English","publisher":"AEWA European Goose Management Platform","usgsCitation":"2017, Adaptive harvest management for the Svalbard population of pink-footed geese (Anser brachyrhynchus): EGMP Technical Report 5, 20 p.","productDescription":"20 p.","ipdsId":"IP-087735","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":357224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357099,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://egmp.aewa.info/sites/default/files/download/population_status_reports/EGMP_005_Pink-footed%20Goose%20AHM%20Report%202017.pdf"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a4b4e4b0702d0e84308d","contributors":{"compilers":[{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":744732,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":744733,"contributorType":{"id":3,"text":"Compilers"},"rank":2}]}}
,{"id":70198409,"text":"70198409 - 2017 - For what it's worth : appreciating the economic value of wildlife","interactions":[],"lastModifiedDate":"2018-08-03T10:57:30","indexId":"70198409","displayToPublicDate":"2017-01-01T10:57:21","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"For what it's worth : appreciating the economic value of wildlife","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"The Wildlife Society","usgsCitation":"Howensee, P., Samuel, M.D., and Drake, D., 2017, For what it's worth : appreciating the economic value of wildlife: The Wildlife Professional, v. 11.","productDescription":"4 p.","startPage":"43","ipdsId":"IP-076076","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","edition":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc777e4b0f5d57878ebe0","contributors":{"authors":[{"text":"Howensee, P.","contributorId":206700,"corporation":false,"usgs":false,"family":"Howensee","given":"P.","email":"","affiliations":[],"preferred":false,"id":741504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":741359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake, D.","contributorId":206701,"corporation":false,"usgs":false,"family":"Drake","given":"D.","affiliations":[],"preferred":false,"id":741505,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228712,"text":"70228712 - 2017 - Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2016","interactions":[],"lastModifiedDate":"2022-09-13T15:23:56.790699","indexId":"70228712","displayToPublicDate":"2017-01-01T09:54:42","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":3,"text":"Annual Report","active":false,"publicationSubtype":{"id":1}},"title":"Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2016","docAbstract":"<p>This Annual Report summarizes results of grizzly bear (<i>Ursus arctos</i>) monitoring and research conducted in the Greater Yellowstone Ecosystem (GYE) by the Interagency Grizzly Bear Study Team (IGBST) during 2016. The report also contains a summary of grizzly bear management actions to address conflict situations.&nbsp;</p>","language":"English","publisher":"Interagency Grizzly Bear Study Team","usgsCitation":"2017, Yellowstone grizzly bear investigations — Annual report of the Interagency Grizzly Bear Study Team 2016: Annual Report, 185 p.","productDescription":"185 p.","ipdsId":"IP-130271","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":406598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":406597,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/catalog/file/get/6266a697d34e76103cce5808?f=__disk__a1%2F87%2Fe7%2Fa187e75c128cd250f77e0e549d1081f5c071191e","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.68701171875,\n              42.85985981506279\n            ],\n            [\n              -109.27001953125,\n              42.85985981506279\n            ],\n            [\n              -109.27001953125,\n              45.583289756006316\n            ],\n            [\n              -111.68701171875,\n              45.583289756006316\n            ],\n            [\n              -111.68701171875,\n              42.85985981506279\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"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":835180,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":835181,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karabensh, Bryn 0000-0002-2052-5256","orcid":"https://orcid.org/0000-0002-2052-5256","contributorId":219113,"corporation":false,"usgs":true,"family":"Karabensh","given":"Bryn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":835182,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70148686,"text":"70148686 - 2017 - Scientific records appraisal process: U.S. Geological Survey case study","interactions":[],"lastModifiedDate":"2024-07-03T14:14:05.913453","indexId":"70148686","displayToPublicDate":"2017-01-01T09:09:48","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Scientific records appraisal process: U.S. Geological Survey case study","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Curating research data, volume two: A handbook of current practice","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Association of College & Research Libraries","usgsCitation":"Faundeen, J., 2017, Scientific records appraisal process: U.S. Geological Survey case study, chap. <i>of</i> Curating research data, volume two: A handbook of current practice, p. 57-60.","productDescription":"4 p.","startPage":"57","endPage":"60","ipdsId":"IP-066404","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":430759,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/185335","linkFileType":{"id":5,"text":"html"}},{"id":430760,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Johnston, Lisa R.","contributorId":339919,"corporation":false,"usgs":false,"family":"Johnston","given":"Lisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":905588,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@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":549046,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70238858,"text":"70238858 - 2017 - USGS revision of global iron ore production data—Clarification of the reporting of iron ore production in China and application of a uniform comparison methodology (2000-2015)","interactions":[],"lastModifiedDate":"2025-03-05T15:17:29.764006","indexId":"70238858","displayToPublicDate":"2017-01-01T09:05:32","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"displayTitle":"USGS revision of global iron ore production data—Clarification of the reporting of iron ore production in China and application of a uniform comparison methodology (2000-2015)","title":"USGS revision of global iron ore production data—Clarification of the reporting of iron ore production in China and application of a uniform comparison methodology (2000-2015)","docAbstract":"<p><span>Iron ore is the source of primary iron for the world’s iron and steel industries. Its production can be reported as crude ore, usable ore or iron content of ore. Historically, the U.S. Geological Survey (USGS) used reported crude ore production from China in tabulations of world iron ore production while other countries have typically reported their production in terms of usable iron ore. When China’s crude ore production was tabulated with usable ore production from other countries, world iron ore production totals have been overestimated by 10 percent to a high of 32 percent (Figs. 1, 2). The significant increase in iron ore production in China from 2000 through 2015 amplified the overestimation resulting from tabulating inconsistent forms of the material. Sources of data for usable iron ore production in China, beginning in 2000, have become available. This article documents the revision of world iron ore production totals and augments historical China iron ore production figures to show both crude and usable ore values.</span></p>","language":"English","publisher":"Society for Mining, Metallurgy, & Exploration","usgsCitation":"Tuck, C.C., Xun, S., and Singerling, S.A., 2017, USGS revision of global iron ore production data—Clarification of the reporting of iron ore production in China and application of a uniform comparison methodology (2000-2015): Mining Engineering, v. 69, no. 2, p. 20-23.","productDescription":"4 p.","startPage":"20","endPage":"23","ipdsId":"IP-081862","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":410473,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":410540,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70238858/report.pdf","text":"USGS Accepted Manuscript","size":"295 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":410448,"rank":3,"type":{"id":15,"text":"Index 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Candice C. 0000-0001-5593-874X","orcid":"https://orcid.org/0000-0001-5593-874X","contributorId":299896,"corporation":false,"usgs":true,"family":"Tuck","given":"Candice","email":"","middleInitial":"C.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":858961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xun, Sean 0000-0002-5784-7048","orcid":"https://orcid.org/0000-0002-5784-7048","contributorId":203954,"corporation":false,"usgs":true,"family":"Xun","given":"Sean","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":858962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singerling, Sheryl A. 0000-0001-8639-5039 ssingerling@usgs.gov","orcid":"https://orcid.org/0000-0001-8639-5039","contributorId":195496,"corporation":false,"usgs":true,"family":"Singerling","given":"Sheryl","email":"ssingerling@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":858963,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190248,"text":"70190248 - 2017 - Geology and vertebrate paleontology of Tule Springs Fossil Beds National Monument, Nevada, USA","interactions":[],"lastModifiedDate":"2019-02-04T08:40:43","indexId":"70190248","displayToPublicDate":"2017-01-01T08:34:12","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geology and vertebrate paleontology of Tule Springs Fossil Beds National Monument, Nevada, USA","docAbstract":"<p><span>Tule Springs Fossil Beds National Monument (TUSK) preserves 22,650 acres of the upper Las Vegas Wash in the northern Las Vegas Valley, Nevada, USA. TUSK is home to extensive and stratigraphically complex groundwater discharge (GWD) deposits, called the Las Vegas Formation, which represent springs and desert wetlands that covered much of the valley during the late Quaternary. The GWD deposits record hydrologic changes that occurred here in a dynamic and temporally congruent response to abrupt climatic oscillations over the last ~300 ka (thousands of years). The deposits also entomb the Tule Springs Local Fauna (TSLF), one of the most significant late Pleistocene (Rancholabrean) vertebrate assemblages in the American Southwest. The TSLF is both prolific and diverse, and includes a large mammal assemblage dominated by&nbsp;</span><i>Mammuthus columbi</i><span>&nbsp;and&nbsp;</span><i>Camelops hesternus.</i><span>&nbsp;Two and possibly three distinct species of&nbsp;</span><i>Equus,</i><span>&nbsp;two species of&nbsp;</span><i>Bison, Panthera atrox, Smilodon fatalis, Canis dirus, Megalonyx jeffersonii,</i><span>&nbsp;and&nbsp;</span><i>Nothrotheriops shastensis</i><span>&nbsp;are also present, and newly recognized faunal components include micromammals, amphibians, snakes, and birds. Invertebrates, plant macrofossils, and pollen also occur in the deposits and provide important and complementary paleoenvironmental information. This field compendium highlights some of the classic stratigraphic sequences of the Las Vegas Formation within TUSK, emphasizes the significant hydrologic changes that occurred in the area during the recent geologic past, and examines the subsequent and repeated effect of rapid climate change on the local desert wetland ecosystem.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Field excursions in Southern California: Field guides to the 2016 Geological Society of American cordilleran section meeting","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America ","doi":"10.1130/2017.0045(01)","isbn":"9780813756455","usgsCitation":"Springer, K.B., Pigati, J., and Eric Scott, 2017, Geology and vertebrate paleontology of Tule Springs Fossil Beds National Monument, Nevada, USA, chap. <i>of</i> Field excursions in Southern California: Field guides to the 2016 Geological Society of American cordilleran section meeting, v. 45, p. 1-30, https://doi.org/10.1130/2017.0045(01).","productDescription":"30 p.","startPage":"1","endPage":"30","ipdsId":"IP-077008","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":360946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada ","otherGeospatial":"Tule Springs Fossil Beds National Monument ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.42167663574217,\n              36.25313319699069\n            ],\n            [\n              -115.02891540527344,\n              36.25313319699069\n            ],\n            [\n              -115.02891540527344,\n              36.4223874864237\n            ],\n            [\n              -115.42167663574217,\n              36.4223874864237\n            ],\n            [\n              -115.42167663574217,\n              36.25313319699069\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":708147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":149825,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":708148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eric Scott","contributorId":195776,"corporation":false,"usgs":false,"family":"Eric Scott","affiliations":[],"preferred":false,"id":708149,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176547,"text":"70176547 - 2017 - Mapping marginal croplands suitable for cellulosic feedstock crops in the Great Plains, United States","interactions":[],"lastModifiedDate":"2024-06-17T16:38:22.740346","indexId":"70176547","displayToPublicDate":"2017-01-01T06:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Mapping marginal croplands suitable for cellulosic feedstock crops in the Great Plains, United States","docAbstract":"<p>Growing cellulosic feedstock crops (e.g., switchgrass) for biofuel is more environmentally sustainable than corn-based ethanol. Specifically, this practice can reduce soil erosion and water quality impairment from pesticides and fertilizer, improve ecosystem services and sustainability (e.g., serve as carbon sinks), and minimize impacts on global food supplies. The main goal of this study was to identify high-risk marginal croplands that are potentially suitable for growing cellulosic feedstock crops (e.g., switchgrass) in the US Great Plains (GP). Satellite-derived growing season Normalized Difference Vegetation Index, a switchgrass biomass productivity map obtained from a previous study, US Geological Survey (USGS) irrigation and crop masks, and US Department of Agriculture (USDA) crop indemnity maps for the GP were used in this study. Our hypothesis was that croplands with relatively low crop yield but high productivity potential for switchgrass may be suitable for converting to switchgrass. Areas with relatively low crop indemnity (crop indemnity &lt;$2&nbsp;157&nbsp;068) were excluded from the suitable areas based on low probability of crop failures. Results show that approximately 650&nbsp;000&nbsp;ha of marginal croplands in the GP are potentially suitable for switchgrass development. The total estimated switchgrass biomass productivity gain from these suitable areas is about 5.9 million metric tons. Switchgrass can be cultivated in either lowland or upland regions in the GP depending on the local soil and environmental conditions. This study improves our understanding of ecosystem services and the sustainability of cropland systems in the GP. Results from this study provide useful information to land managers for making informed decisions regarding switchgrass development in the GP.</p>","language":"English","publisher":"Wiley","doi":"10.1111/gcbb.12388","usgsCitation":"Gu, Y., and Wylie, B.K., 2017, Mapping marginal croplands suitable for cellulosic feedstock crops in the Great Plains, United States: GCB Bioenergy, v. 9, no. 5, p. 836-844, https://doi.org/10.1111/gcbb.12388.","productDescription":"9 p.","startPage":"836","endPage":"844","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077204","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470163,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcbb.12388","text":"Publisher Index Page"},{"id":328803,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.90625,\n              48.951366470947725\n            ],\n            [\n              -95.2734375,\n              48.951366470947725\n            ],\n            [\n              -93.1640625,\n              44.18220395771566\n            ],\n            [\n              -89.47265625,\n              42.391008609205045\n            ],\n            [\n              -89.296875,\n              41.244772343082076\n            ],\n            [\n              -89.6044921875,\n              36.20882309283712\n            ],\n            [\n              -90.263671875,\n              32.24997445586331\n            ],\n            [\n              -90.703125,\n              30.14512718337613\n            ],\n           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PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-14","publicationStatus":"PW","scienceBaseUri":"57f7c656e4b0bc0bec09c905","chorus":{"doi":"10.1111/gcbb.12388","url":"http://dx.doi.org/10.1111/gcbb.12388","publisher":"Wiley-Blackwell","authors":"Gu Yingxin, Wylie Bruce K.","journalName":"GCB Bioenergy","publicationDate":"9/14/2016","publiclyAccessibleDate":"9/14/2016"},"contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":649174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":649175,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185061,"text":"70185061 - 2017 - Behavioral connectivity among bighorn sheep suggests potential for disease spread","interactions":[],"lastModifiedDate":"2017-03-13T17:02:55","indexId":"70185061","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral connectivity among bighorn sheep suggests potential for disease spread","docAbstract":"<p><span>Connectivity is important for population persistence and can reduce the potential for inbreeding depression. Connectivity between populations can also facilitate disease transmission; respiratory diseases are one of the most important factors affecting populations of bighorn sheep (</span><i>Ovis canadensis</i><span>). The mechanisms of connectivity in populations of bighorn sheep likely have implications for spread of disease, but the behaviors leading to connectivity between bighorn sheep groups are not well understood. From 2007–2012, we radio-collared and monitored 56 bighorn sheep in the Salmon River canyon in central Idaho. We used cluster analysis to define social groups of bighorn sheep and then estimated connectivity between these groups using a multi-state mark-recapture model. Social groups of bighorn sheep were spatially segregated and linearly distributed along the Salmon River canyon. Monthly probabilities of movement between adjacent male and female groups ranged from 0.08 (±0.004 SE) to 0.76 (±0.068) for males and 0.05 (±0.132) to 0.24 (±0.034) for females. Movements of males were extensive and probabilities of movement were considerably higher during the rut. Probabilities of movement for females were typically smaller than those of males and did not change seasonally. Whereas adjacent groups of bighorn sheep along the Salmon River canyon were well connected, connectivity between groups north and south of the Salmon River was limited. The novel application of a multi-state model to a population of bighorn sheep allowed us to estimate the probability of movement between adjacent social groups and approximate the level of connectivity across the population. Our results suggest high movement rates of males during the rut are the most likely to result in transmission of pathogens among both male and female groups. Potential for disease spread among female groups was smaller but non-trivial. Land managers can plan grazing of domestic sheep for spring and summer months when males are relatively inactive. Removal or quarantine of social groups may reduce probability of disease transmission in populations of bighorn sheep consisting of linearly distributed social groups.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21169","usgsCitation":"Borg, N.J., Mitchell, M.S., Lukacs, P.M., Mack, C.M., Waits, L.P., and Krausman, P.R., 2017, Behavioral connectivity among bighorn sheep suggests potential for disease spread: Journal of Wildlife Management, v. 81, no. 1, p. 38-45, https://doi.org/10.1002/jwmg.21169.","productDescription":"8 p.","startPage":"38","endPage":"45","ipdsId":"IP-076975","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-26","publicationStatus":"PW","scienceBaseUri":"58c7af9ae4b0849ce9795e6c","contributors":{"authors":[{"text":"Borg, Nathan","contributorId":189236,"corporation":false,"usgs":false,"family":"Borg","given":"Nathan","affiliations":[],"preferred":false,"id":684118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Curt M.","contributorId":58948,"corporation":false,"usgs":true,"family":"Mack","given":"Curt","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":684121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":684122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192833,"text":"70192833 - 2017 - Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes","interactions":[],"lastModifiedDate":"2017-10-30T16:19:05","indexId":"70192833","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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":"Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes","docAbstract":"<p><span>The collection of earthquake testimonies (i.e., qualitative descriptions of felt shaking) is essential for macroseismic studies (i.e., studies gathering information on how strongly an earthquake was felt in different places), and when done rapidly and systematically, improves situational awareness and in turn can contribute to efficient emergency response. In this study, we present advances made in the collection of testimonies following earthquakes around the world using a thumbnail‐based questionnaire implemented on the European‐Mediterranean Seismological Centre (EMSC) smartphone app and its website compatible for mobile devices. In both instances, the questionnaire consists of a selection of thumbnails, each representing an intensity level of the European Macroseismic Scale 1998. We find that testimonies are collected faster, and in larger numbers, by way of thumbnail‐based questionnaires than by more traditional online questionnaires. Responses were received from all seismically active regions of our planet, suggesting that thumbnails overcome language barriers. We also observed that the app is not sufficient on its own, because the websites are the main source of testimonies when an earthquake strikes a region for the first time in a while; it is only for subsequent shocks that the app is widely used. Notably though, the speed of the collection of testimonies increases significantly when the app is used. We find that automated EMSC intensities as assigned by user‐specified thumbnails are, on average, well correlated with “Did You Feel It?” (DYFI) responses and with the three independently and manually derived macroseismic datasets, but there is a tendency for EMSC to be biased low with respect to DYFI at moderate and large intensities. We address this by proposing a simple adjustment that will be verified in future earthquakes.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160120","usgsCitation":"Bossu, R., Landes, M., Roussel, F., Steed, R., Mazet-Roux, G., Martin, S.S., and Hough, S.E., 2017, Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes: Seismological Research Letters, v. 88, no. 1, p. 72-81, https://doi.org/10.1785/0220160120.","productDescription":"10 p.","startPage":"72","endPage":"81","ipdsId":"IP-079649","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470167,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0220160120","text":"External Repository"},{"id":347752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-26","publicationStatus":"PW","scienceBaseUri":"59f83a3ae4b063d5d30980f7","contributors":{"authors":[{"text":"Bossu, Remy","contributorId":198780,"corporation":false,"usgs":false,"family":"Bossu","given":"Remy","email":"","affiliations":[],"preferred":false,"id":717115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landes, Matthieu","contributorId":198781,"corporation":false,"usgs":false,"family":"Landes","given":"Matthieu","email":"","affiliations":[],"preferred":false,"id":717116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roussel, Frederic","contributorId":198782,"corporation":false,"usgs":false,"family":"Roussel","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":717117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steed, Robert","contributorId":198783,"corporation":false,"usgs":false,"family":"Steed","given":"Robert","email":"","affiliations":[],"preferred":false,"id":717118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazet-Roux, Gilles","contributorId":198784,"corporation":false,"usgs":false,"family":"Mazet-Roux","given":"Gilles","email":"","affiliations":[],"preferred":false,"id":717119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Stacey S.","contributorId":140021,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","email":"","middleInitial":"S.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":717120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70185059,"text":"70185059 - 2017 - Spatio-temporal development of vegetation die-off in a submerging coastal marsh","interactions":[],"lastModifiedDate":"2017-03-13T15:26:46","indexId":"70185059","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal development of vegetation die-off in a submerging coastal marsh","docAbstract":"<p><span>In several places around the world, coastal marsh vegetation is converting to open water through the formation of pools. This is concerning, as vegetation die-off is expected to reduce the marshes' capacity to adapt to sea level rise by vegetation-induced sediment accretion. Quantitative analyses of the spatial and temporal development of marsh vegetation die-off are scarce, although these are needed to understand the bio-geomorphic feedback effects of vegetation die-off on flow, erosion, and sedimentation. In this study, we quantified the spatial and temporal development of marsh vegetation die-off with aerial images from 1938 to 2010 in a submerging coastal marsh along the Blackwater River (Maryland, U.S.A). Our results indicate that die-off begins with conversion of marsh vegetation into bare open water pools that are relatively far (&gt; 75 m) from tidal channels. As vegetation die-off continues, pools expand, and new pools emerge at shorter and shorter distances from channels. Consequently larger pools are found at larger distances from the channels. Our results suggest that the size of the pools and possibly the connection of pools with the tidal channel system have important bio-geomorphic implications and aggravate marsh deterioration. Moreover, we found that the temporal development of vegetation die-off in moderately degraded marshes is similar as the spatial die-off development along a present-day gradient, which indicates that the contemporary die-off gradient might be considered a chronosequence that offers a unique opportunity to study vegetation die-off processes.</span></p>","language":"English","publisher":"ASLO","doi":"10.1002/lno.10381","usgsCitation":"Schepers, L., Kirwan, M.L., Guntenspergen, G.R., and Temmerman, S., 2017, Spatio-temporal development of vegetation die-off in a submerging coastal marsh: Limnology and Oceanography, v. 62, no. 1, p. 137-150, https://doi.org/10.1002/lno.10381.","productDescription":"14 p.","startPage":"137","endPage":"150","ipdsId":"IP-076687","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470180,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":337461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"58c7af9be4b0849ce9795e6e","contributors":{"authors":[{"text":"Schepers, Lennert","contributorId":189203,"corporation":false,"usgs":false,"family":"Schepers","given":"Lennert","email":"","affiliations":[],"preferred":false,"id":684110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":684112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":684109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":684111,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192672,"text":"70192672 - 2017 - A guide to multi-objective optimization for ecological problems with an application to cackling goose management","interactions":[],"lastModifiedDate":"2017-11-08T15:04:05","indexId":"70192672","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A guide to multi-objective optimization for ecological problems with an application to cackling goose management","docAbstract":"<p id=\"spar0010\">Choices in ecological research and management are the result of balancing multiple, often competing, objectives.<span>&nbsp;</span><i>Multi-objective optimization</i><span>&nbsp;</span>(MOO) is a formal decision-theoretic framework for solving multiple objective problems. MOO is used extensively in other fields including engineering, economics, and operations research. However, its application for solving ecological problems has been sparse, perhaps due to a lack of widespread understanding. Thus, our objective was to provide an accessible primer on MOO, including a review of methods common in other fields, a review of their application in ecology, and a demonstration to an applied resource management problem.</p><p id=\"spar0015\">A large class of methods for solving MOO problems can be separated into two strategies: modelling preferences pre-optimization (the<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>strategy), or modelling preferences post-optimization (the<span>&nbsp;</span><i>a posteriori</i><span>&nbsp;</span>strategy). The<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>strategy requires describing preferences among objectives without knowledge of how preferences affect the resulting decision. In the<span>&nbsp;</span><i>a posteriori</i><span>&nbsp;</span>strategy, the decision maker simultaneously considers a set of solutions (the Pareto optimal set) and makes a choice based on the trade-offs observed in the set. We describe several methods for modelling preferences pre-optimization, including: the bounded objective function method, the lexicographic method, and the weighted-sum method. We discuss modelling preferences post-optimization through examination of the Pareto optimal set. We applied each MOO strategy to the natural resource management problem of selecting a population target for cackling goose (<i>Branta hutchinsii minima</i>) abundance. Cackling geese provide food security to Native Alaskan subsistence hunters in the goose's nesting area, but depredate crops on private agricultural fields in wintering areas. We developed objective functions to represent the competing objectives related to the cackling goose population target and identified an optimal solution first using the<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>strategy, and then by examining trade-offs in the Pareto set using the<span>&nbsp;</span><i>a posteriori</i><span>&nbsp;</span>strategy. We used four approaches for selecting a final solution within the<span>&nbsp;</span><i>a posteriori</i><span>&nbsp;</span>strategy; the most common optimal solution, the most robust optimal solution, and two solutions based on maximizing a restricted portion of the Pareto set. We discuss MOO with respect to natural resource management, but MOO is sufficiently general to cover any ecological problem that contains multiple competing objectives that can be quantified using objective functions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.10.010","usgsCitation":"Williams, P.J., and Kendall, W., 2017, A guide to multi-objective optimization for ecological problems with an application to cackling goose management: Ecological Modelling, v. 343, p. 54-67, https://doi.org/10.1016/j.ecolmodel.2016.10.010.","productDescription":"14 p.","startPage":"54","endPage":"67","ipdsId":"IP-074514","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2016.10.010","text":"Publisher Index Page"},{"id":348487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"343","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453c5","contributors":{"authors":[{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192519,"text":"70192519 - 2017 - Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","interactions":[],"lastModifiedDate":"2017-10-26T13:39:12","indexId":"70192519","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","docAbstract":"<p><span>Invasive woody plant expansion is a primary threat driving fragmentation&nbsp;and loss of sagebrush (<i>Artemisia</i></span><span><span>&nbsp;</span>spp.) and prairie habitats across the central and western United States. Expansion of native woody plants, including conifer (primarily<i><span> Juniperus</span></i></span><span><span>&nbsp;</span>spp.) and<span> mesquite (<i>Prosopis</i></span></span><span><span>&nbsp;</span>spp.), over the past century is primarily attributable to wildfire suppression, historic periods of intensive livestock grazing, and changes in climate. To guide successful conservation programs aimed at reducing top-down stressors, we mapped invasive woody plants at regional scales to evaluate landscape level impacts, target restoration actions, and monitor restoration outcomes. Our overarching goal was to produce seamless regional products across sociopolitical boundaries with resolution fine enough to depict the spatial extent and degree of woody plant invasion relevant to greater sage-grouse<span>&nbsp;</span></span><i>(Centrocercus urophasianus)</i><span><span>&nbsp;</span>and lesser prairie-chicken<span>&nbsp;</span></span><i>(Tympanuchus pallidicinctus)</i><span>conservation efforts. We mapped<span> tree canopy</span><span>&nbsp;</span>cover at 1-m spatial resolution across an 11-state region (508 265 km</span><sup>2</sup><span>). Greater than 90% of occupied lesser prairie-chicken habitat was largely treeless for conifers (&lt;</span><span>&nbsp;</span><span>1% canopy cover), whereas &gt; 67% was treeless for mesquite. Conifers in the higher canopy cover classes (16</span><span>&nbsp;</span><span>−</span><span>&nbsp;</span><span>50% and &gt;</span><span>&nbsp;</span><span>50% canopy cover) were scarce (&lt;</span><span>&nbsp;</span><span>2% and 1% canopy cover), as was mesquite (&lt;</span><span>&nbsp;</span><span>5% and 1% canopy cover). Occupied habitat by sage-grouse was more variable but also had a relatively large proportion of treeless areas (</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi is=&quot;true&quot;>x</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x2212;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">x−</span></span><span><span>&nbsp;</span>= 71, SE = 5%). Low to moderate levels of conifer cover (1</span><span>&nbsp;</span><span>−</span><span>&nbsp;</span><span>20%) were fewer (</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi is=&quot;true&quot;>x</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x2212;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">x−</span></span><span><span>&nbsp;</span>= 23, SE = 5%) as were areas in the highest cover class (&gt;</span><span>&nbsp;</span><span>50%;<span>&nbsp;</span></span><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi is=&quot;true&quot;>x</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x2212;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">x−</span></span><span>= 6, SE = 2%). Mapping indicated that a high proportion of invading woody plants are at a low to intermediate level. Canopy cover maps for conifer and mesquite resulting from this study provide the first and most geographically complete, high-resolution assessment of woody<span> plant cover</span><span>&nbsp;</span>as a top-down threat to western sage-steppe and prairie ecosystems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2016.08.002","usgsCitation":"Falkowski, M.J., Evans, J.S., Naugle, D.E., Hagen, C.A., Carleton, S.A., Maestas, J.D., Henareh Khalyani, A., Poznanovic, A.J., and Lawrence, A.J., 2017, Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America: Rangeland Ecology and Management, v. 70, no. 1, p. 15-24, https://doi.org/10.1016/j.rama.2016.08.002.","productDescription":"10 p.","startPage":"15","endPage":"24","ipdsId":"IP-073817","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2016.08.002","text":"Publisher Index Page"},{"id":347477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e953e4b09af898c8cc11","contributors":{"authors":[{"text":"Falkowski, Michael J.","contributorId":198547,"corporation":false,"usgs":false,"family":"Falkowski","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Jeffrey S.","contributorId":171756,"corporation":false,"usgs":false,"family":"Evans","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":716382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naugle, David E.","contributorId":82837,"corporation":false,"usgs":true,"family":"Naugle","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maestas, Jeremy D.","contributorId":117298,"corporation":false,"usgs":true,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henareh Khalyani, Azad","contributorId":194189,"corporation":false,"usgs":false,"family":"Henareh Khalyani","given":"Azad","email":"","affiliations":[],"preferred":false,"id":716386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poznanovic, Aaron J.","contributorId":198548,"corporation":false,"usgs":false,"family":"Poznanovic","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716387,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lawrence, Andrew J.","contributorId":198549,"corporation":false,"usgs":false,"family":"Lawrence","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716388,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192642,"text":"70192642 - 2017 - Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression","interactions":[],"lastModifiedDate":"2017-11-07T14:44:39","indexId":"70192642","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5542,"text":"Advances in Statistical Climatology, Meteorology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression","docAbstract":"<p><span>Scientific records of temperature and precipitation have been kept for several hundred years, but for many areas, only a shorter record exists. To understand climate change, there is a need for rigorous statistical reconstructions of the paleoclimate using proxy data. Paleoclimate proxy data are often sparse, noisy, indirect measurements of the climate process of interest, making each proxy uniquely challenging to model statistically. We reconstruct spatially explicit temperature surfaces from sparse and noisy measurements recorded at historical United States military forts and other observer stations from 1820 to 1894. One common method for reconstructing the paleoclimate from proxy data is principal component regression (PCR). With PCR, one learns a statistical relationship between the paleoclimate proxy data and a set of climate observations that are used as patterns for potential reconstruction scenarios. We explore PCR in a Bayesian hierarchical framework, extending classical PCR in a variety of ways. First, we model the latent principal components probabilistically, accounting for measurement error in the observational data. Next, we extend our method to better accommodate outliers that occur in the proxy data. Finally, we explore alternatives to the truncation of lower-order principal components using different regularization techniques. One fundamental challenge in paleoclimate reconstruction efforts is the lack of out-of-sample data for predictive validation. Cross-validation is of potential value, but is computationally expensive and potentially sensitive to outliers in sparse data scenarios. To overcome the limitations that a lack of out-of-sample records presents, we test our methods using a simulation study, applying proper scoring rules including a computationally efficient approximation to leave-one-out cross-validation using the log score to validate model performance. The result of our analysis is a spatially explicit reconstruction of spatio-temporal temperature from a very sparse historical record.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/ascmo-3-1-2017","usgsCitation":"Tipton, J., Hooten, M., and Goring, S., 2017, Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression: Advances in Statistical Climatology, Meteorology and Oceanography, v. 3, p. 1-16, https://doi.org/10.5194/ascmo-3-1-2017.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-076974","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470165,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/ascmo-3-1-2017","text":"Publisher Index Page"},{"id":348403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"5a07e953e4b09af898c8cc0f","contributors":{"authors":[{"text":"Tipton, John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":716635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":716636,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192455,"text":"70192455 - 2017 - Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","interactions":[],"lastModifiedDate":"2019-06-04T08:40:19","indexId":"70192455","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","docAbstract":"<p>Wildlife researchers frequently study resource and habitat selection of wildlife to understand their potential habitat requirements and to conserve their populations. Understanding wildlife spatial-temporal distributions related to habitat have other applications such as to model interfaces between wildlife and domestic food animals in order to mitigate disease transmission to food animals. The highly pathogenic avian influenza (HPAI) virus represents a significant risk to the poultry industry. The Central Valley of California offers a unique geographical confluence of commercial poultry and wild waterfowl, which are thought to be a key reservoir of avian influenza (AI). Therefore, understanding spatio-temporal distributions of waterfowl could improve our understanding of potential risk of HPAI exposure from a commercial poultry perspective. Using existing radio-telemetry data on waterfowl (U.S. Geological Survey) in combination with habitat and vegetation data based on Geographic Information Systems (GIS), we are developing GIS-based statistical models that predict the probability of waterfowl presence (Habitat Suitability Mapping). Near-real-time application can be developed using recent habitat data derived from Landsat imagery (acquired by satellites and publicly available through the U.S. Geological Survey) to predict temporally- and spatially-varying distributions of waterfowl in the Central Valley. These results could be used to provide decision support for the poultry industry in addressing potential risk of HPAI exposure related to waterfowl proximity.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Sixty-Sixth Western Poultry Disease Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixty-Sixth Western Poultry Disease Conference","conferenceDate":"March 20-22, 2017","conferenceLocation":"Sacramento, California","language":"English","publisher":"Western Poutlry Disease Conference","usgsCitation":"Matchett, E., Casazza, M.L., Fleskes, J.P., Kelman, T., Cadena, M., and Pitesky, M., 2017, Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl, <i>in</i> Proceedings of the Sixty-Sixth Western Poultry Disease Conference, Sacramento, California, March 20-22, 2017, p. 118-120.","productDescription":"3 p.","startPage":"118","endPage":"120","ipdsId":"IP-083273","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364313,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://aaap.memberclicks.net/wpdc-proceedings"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f0","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelman, T.","contributorId":198390,"corporation":false,"usgs":false,"family":"Kelman","given":"T.","email":"","affiliations":[],"preferred":false,"id":715918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadena, M.","contributorId":198391,"corporation":false,"usgs":false,"family":"Cadena","given":"M.","email":"","affiliations":[],"preferred":false,"id":715919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, M.","contributorId":198392,"corporation":false,"usgs":false,"family":"Pitesky","given":"M.","affiliations":[],"preferred":false,"id":715920,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179816,"text":"70179816 - 2017 - Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2017-12-05T10:26:47","indexId":"70179816","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA","docAbstract":"Riparian forest soils can be highly dynamic, due to frequent fluvial disturbance, erosion, and sediment deposition, but effects of dams on riparian soils are poorly understood. We examined soils along toposequences within three river segments located upstream, between, and downstream of two dams on the Elwha River to evaluate relationships between riparian soil development and forest age, succession, and channel proximity, explore dam effects on riparian soils, and provide a baseline for the largest dam removal in history. We found that older, later-successional forests and geomorphic surfaces contained soils with finer texture and greater depth to cobble, supporting greater forest floor mass, mineral soil nutrient levels, and cation exchange. Forest stand age was a better predictor than channel proximity for many soil characteristics, though elevation and distance from the channel were often also important, highlighting how complex interactions between fluvial disturbance, sediment deposition, and biotic retention regulate soil development in this ecosystem. Soils between the dams, and to a lesser extent below the lower dam, had finer textures and higher mineral soil carbon, nitrogen, and cation exchange than above the dams. These results suggested that decreased fluvial disturbance below the dams, due to reduced sediment supply and channel stabilization, accelerated soil development. In addition, reduced sediment supply below the dams may have decreased soil phosphorus. Soil δ15N suggested that salmon exclusion by the dams had no discernable effect on nitrogen inputs to upstream soils. Recent dam removal may alter riparian soils further, with ongoing implications for riparian ecosystems.","language":"English","publisher":"Springer","doi":"10.1007/s10021-016-0080-1","usgsCitation":"Perry, L.G., Shafroth, P.B., and Perakis, S.S., 2017, Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA: Ecosystems, v. 20, no. 1, p. 104-129, https://doi.org/10.1007/s10021-016-0080-1.","productDescription":"26 p. ","startPage":"104","endPage":"129","ipdsId":"IP-073631","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":333422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwa River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.57421875,\n              48.14134883691423\n            ],\n            [\n              -123.56460571289061,\n              48.12485115686402\n            ],\n            [\n              -123.58245849609375,\n              48.068444087227775\n            ],\n            [\n              -123.60099792480469,\n              48.03769224746972\n            ],\n            [\n              -123.61061096191405,\n              48.00003067321041\n            ],\n            [\n              -123.61473083496094,\n              47.984866421810175\n            ],\n            [\n              -123.49250793457031,\n              47.891024843906955\n            ],\n            [\n              -123.47602844238281,\n              47.86200993068552\n            ],\n            [\n              -123.47602844238281,\n              47.819148694192286\n            ],\n            [\n              -123.46572875976561,\n              47.77625204393233\n            ],\n            [\n              -123.46916198730467,\n              47.7619452898863\n            ],\n            [\n              -123.4423828125,\n              47.762406859510556\n            ],\n            [\n              -123.43276977539062,\n              47.821915003877976\n            ],\n            [\n              -123.47602844238281,\n              47.92278444035086\n            ],\n            [\n              -123.57147216796875,\n              47.979810681056705\n            ],\n            [\n              -123.57284545898438,\n              48.05743061384011\n            ],\n            [\n              -123.54263305664062,\n              48.10559716402152\n            ],\n            [\n              -123.55430603027344,\n              48.150970035875766\n            ],\n            [\n              -123.56941223144531,\n              48.14959568930188\n            ],\n            [\n              -123.57284545898438,\n              48.145472428740135\n            ],\n            [\n              -123.57421875,\n              48.14134883691423\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-17","publicationStatus":"PW","scienceBaseUri":"5881ded5e4b01192927d9f7d","contributors":{"authors":[{"text":"Perry, Laura G","contributorId":177873,"corporation":false,"usgs":false,"family":"Perry","given":"Laura","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":658813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":658812,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189470,"text":"70189470 - 2017 - Infectious hematopoietic necrosis virus virological and genetic surveillance 2000–2012","interactions":[],"lastModifiedDate":"2017-07-13T13:42:28","indexId":"70189470","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Infectious hematopoietic necrosis virus virological and genetic surveillance 2000–2012","docAbstract":"<p><span>Surveillance records of the acute RNA pathogen of Pacific salmonid fish infectious hematopoietic necrosis virus are combined for the first time to enable landscape-level ecological analyses and modeling. The study area is the freshwater ecosystems of the large Columbia River watershed in the U.S. states of Washington, Oregon, and Idaho, as well as coastal rivers in Washington and Oregon. The study period is 2000–2012, and records were contributed by all five resource management agencies that operate conservation hatcheries in the study area. Additional records from wild fish were collected from the National Wild Fish Health Survey, operated by the U.S. Fish and Wildlife Survey. After curation and normalization, the data set consists of 6766 records, representing 1146 sample sites and 15 different fish hosts. The virus was found in an average of 12.4% of records, and of these 66.2% also have viral genetic analysis available. This data set is used to conduct univariate ecological and epidemiological analyses and develop a novel hierarchical landscape transmission model for an aquatic pathogen.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1634","usgsCitation":"Breyta, R., Brito, I.L., Kurath, G., and LaDeau, S.L., 2017, Infectious hematopoietic necrosis virus virological and genetic surveillance 2000–2012: Ecology, v. 98, no. 1, p. 283-283, https://doi.org/10.1002/ecy.1634.","productDescription":"1 p.","startPage":"283","endPage":"283","ipdsId":"IP-079462","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470235,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.1634","text":"Publisher Index Page"},{"id":343805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"596886a0e4b0d1f9f05f5998","contributors":{"authors":[{"text":"Breyta, Rachel","contributorId":150355,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","affiliations":[],"preferred":false,"id":704803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brito, Ilana L.","contributorId":177102,"corporation":false,"usgs":false,"family":"Brito","given":"Ilana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":704804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":704805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaDeau, Shannon L.","contributorId":172640,"corporation":false,"usgs":false,"family":"LaDeau","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":704806,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189464,"text":"70189464 - 2017 - Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake","interactions":[],"lastModifiedDate":"2018-03-27T13:22:01","indexId":"70189464","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake","docAbstract":"<p><span>Oxygen concentration is both an indicator and driver of water quality in lakes. Decreases in oxygen concentration leads to altered ecosystem function as well as harmful consequences for aquatic biota, such as fishes. The responses of oxygen dynamics in lakes to climate-related drivers, such as temperature and wind speed, are well documented for lake surface waters. However, much less is known about how the oxic environment of bottom waters, especially the timing and magnitude of anoxia in eutrophic lakes, responds to changes in climate drivers. Understanding how important ecosystem states, such as hypolimnetic anoxia, may respond to differing climate scenarios requires a model that couples physical-biological conditions and sufficiently captures the density stratification that leads to strong oxygen gradients. Here, we analyzed the effects of changes in three important meteorological drivers (air temperature, wind speed, and relative humidity) on hypolimnetic anoxia in a eutrophic, north temperate lake using the anoxic factor as an index that captures both the temporal and spatial extent of anoxia. Air temperature and relative humidity were found to have a positive correlation with anoxic factor, while wind speed had a negative correlation. Air temperature was found to have the greatest potential impact of the three drivers on the anoxic factor, followed by wind speed and then relative humidity. Across the scenarios of climate variability, variation in the simulated anoxic factor was primarily due to changes in the timing of onset and decay of stratification. Given the potential for future changes in climate, especially increases in air temperature, this study provides important insight into how these changes will alter lake water quality.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.10.014","usgsCitation":"Snortheim, C.A., Hanson, P.C., McMahon, K.D., Read, J.S., Carey, C.C., and Dugan, H., 2017, Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake: Ecological Modelling, v. 343, p. 39-53, https://doi.org/10.1016/j.ecolmodel.2016.10.014.","productDescription":"15 p.","startPage":"39","endPage":"53","ipdsId":"IP-076787","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":470216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2016.10.014","text":"Publisher Index Page"},{"id":343798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596886a1e4b0d1f9f05f59a6","contributors":{"authors":[{"text":"Snortheim, Craig A.","contributorId":194623,"corporation":false,"usgs":false,"family":"Snortheim","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":704782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, Katherine D.","contributorId":194624,"corporation":false,"usgs":false,"family":"McMahon","given":"Katherine","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":704783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":704784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":704785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dugan, Hilary A.","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","middleInitial":"A.","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":704786,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182810,"text":"70182810 - 2017 - Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA","interactions":[],"lastModifiedDate":"2017-04-28T09:41:46","indexId":"70182810","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA","docAbstract":"<p><span>The Kelso Dune field in southern California is intriguing because although it is of limited areal extent (~&nbsp;100&nbsp;km</span><sup>2</sup><span>), it has a wide variety of dune forms and contains many active dunes (~&nbsp;40&nbsp;km</span><sup>2</sup><span>), which is unusual in the Mojave Desert. Studies over the past eight decades have concluded that the dunes are derived primarily from a single source, Mojave River alluvium, under a dominant, westerly-to-northwesterly wind regime. The majority of these studies did not, however, present data to support the Mojave River as the only source. We conducted mineralogical and geochemical studies of most of the 14 geomorphically defined dune groups of the Kelso Dune field as well as potential sand sources, alluvial sediments from the surrounding mountain ranges. Results indicate that sands in the nine western dune groups have K/Rb and K/Ba (primarily from K-feldspar) compositions that are indistinguishable from Mojave River alluvium (westerly/northwesterly winds) and Budweiser Wash alluvium (southwesterly winds), permitting an interpretation of two sources. In contrast, sands from the five eastern dune groups have K/Rb and K/Ba values that indicate significant inputs from alluvial fan deposits of the Providence Mountains. This requires either rare winds from the east or southeast or, more likely, aeolian reworking of distal Providence Mountain fan sediments by winds from the west, at a rate greater than input from the Mojave River or other western sources. The results indicate that even a small dune field can have a complex origin, either from seasonally varying winds or complex alluvial-fan-dune interaction. Application of K/Rb and K/Ba in K-feldspar as a provenance indicator could be used in many of the world's ergs or sand seas, where dune origins are still not well understood or are controversial. Four examples are given from Africa and the Middle East where such an approach could yield useful new information about dune sand provenance.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.geomorph.2016.10.002","usgsCitation":"Muhs, D., Lancaster, N., and Skipp, G.L., 2017, Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA: Geomorphology, v. 276, p. 222-243, https://doi.org/10.1016/j.geomorph.2016.10.002.","productDescription":"22 p. ","startPage":"222","endPage":"243","ipdsId":"IP-072968","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zenodo.org/record/1258997","text":"Publisher Index Page"},{"id":336730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"276","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba1e4b01ccd5500bad7","chorus":{"doi":"10.1016/j.geomorph.2016.10.002","url":"http://dx.doi.org/10.1016/j.geomorph.2016.10.002","publisher":"Elsevier BV","authors":"Muhs Daniel R., Lancaster Nicholas, Skipp Gary L.","journalName":"Geomorphology","publicationDate":"1/2017"},"contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lancaster, Nicholas","contributorId":184242,"corporation":false,"usgs":false,"family":"Lancaster","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":673845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673846,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192025,"text":"70192025 - 2017 - Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","interactions":[],"lastModifiedDate":"2018-02-27T13:35:22","indexId":"70192025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","docAbstract":"<p><span>The Little Blue River in Jackson County, Missouri, was listed as impaired in 2012 due to&nbsp;</span><i>Escherichia coli</i><span><span>&nbsp;</span>(</span><i>E. coli</i><span>) from urban runoff and storm sewers. A study was initiated to characterize<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>concentrations and loads to aid in the development of a total maximum daily load implementation plan. Longitudinal sampling along the stream revealed spatial and temporal variability in<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>loads. Regression models were developed to better represent<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>variability in the impaired reach using continuous hydrologic and water-quality parameters as predictive parameters. Daily loads calculated from main-stem samples were significantly higher downstream compared to upstream even though there was no significant difference between the upstream and downstream measured concentrations and no significant conclusions could be drawn from model-estimated loads due to model-associated uncertainty. Increasing sample frequency could decrease the bias and increase the accuracy of the modeled results.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Water Environment Federation, WEFTEC 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Water Environment Federation","doi":"10.2175/193864717822156730","usgsCitation":"Flickinger, A., and Christensen, E.D., 2017, Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo., <i>in</i> Proceedings of the Water Environment Federation, WEFTEC 2017, p. 4753-4782, https://doi.org/10.2175/193864717822156730.","productDescription":"30 p.","startPage":"4753","endPage":"4782","ipdsId":"IP-087590","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":438459,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W6B4Z","text":"USGS data release","linkHelpText":"Escherichia coli data and continuous hydrologic and physical parameters at U.S. Geological Survey (USGS) streamgage sites on the Little Blue River and its tributaries in Independence, MO"},{"id":352084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Independence","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f8","contributors":{"authors":[{"text":"Flickinger, Allison aflickinger@usgs.gov","contributorId":197591,"corporation":false,"usgs":true,"family":"Flickinger","given":"Allison","email":"aflickinger@usgs.gov","affiliations":[],"preferred":true,"id":713863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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