Gully erosion susceptibility mapping is a fundamental tool for land-use planning aimed at mitigating land degradation. However, the capabilities of some state-of-the-art data-mining models for developing accurate maps of gully erosion susceptibility have not yet been fully investigated. This study assessed and compared the performance of two different types of data-mining models for accurately mapping gully erosion susceptibility at a regional scale in Chavar, Ilam, Iran. The two methods evaluated were: Certainty Factor (CF), a bivariate statistical model; and Maximum Entropy (ME), an advanced machine learning model. Several geographic and environmental factors that can contribute to gully erosion were considered as predictor variables of gully erosion susceptibility. Based on an existing differential GPS survey inventory of gully erosion, a total of 63 eroded gullies were spatially randomly split in a 70:30 ratio for use in model calibration and validation, respectively. Accuracy assessments completed with the receiver operating characteristic curve method showed that the ME-based regional gully susceptibility map has an area under the curve (AUC) value of 88.6% whereas the CF-based map has an AUC of 81.8%. According to jackknife tests that were used to investigate the relative importance of predictor variables, aspect, distance to river, lithology and land use are the most influential factors for the spatial distribution of gully erosion susceptibility in this region of Iran. The gully erosion susceptibility maps produced in this study could be useful tools for land managers and engineers tasked with road development, urbanization and other future development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.235","usgsCitation":"Azareh, A., Rahmati, O., Rafiei-Sardooi, E., Sankey, J.B., Lee, S., Shahabi, H., and Bin Ahmad, B., 2019, Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models: Science of the Total Environment, v. 655, p. 684-696, https://doi.org/10.1016/j.scitotenv.2018.11.235.","productDescription":"13 p.","startPage":"684","endPage":"696","ipdsId":"IP-091094","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.235","text":"Publisher Index Page"},{"id":360103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iran","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 46.1667,\n 33.3333\n ],\n [\n 47,\n 33.3333\n ],\n [\n 47,\n 33.8333\n ],\n [\n 46.1667,\n 33.8333\n ],\n [\n 46.1667,\n 33.3333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"655","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f8977e4b0c53ecb2c71de","contributors":{"authors":[{"text":"Azareh, Ali","contributorId":211256,"corporation":false,"usgs":false,"family":"Azareh","given":"Ali","email":"","affiliations":[{"id":38202,"text":"Department of Geography, University of Jiroft, Kerman, Iran","active":true,"usgs":false}],"preferred":false,"id":753469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rahmati, Omid","contributorId":211254,"corporation":false,"usgs":false,"family":"Rahmati","given":"Omid","email":"","affiliations":[{"id":38200,"text":"Department of Watershed Management, Faculty of Agriculture and Natural Resources Management, Lorestan University, Iran","active":true,"usgs":false}],"preferred":false,"id":753467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rafiei-Sardooi, Elham","contributorId":211257,"corporation":false,"usgs":false,"family":"Rafiei-Sardooi","given":"Elham","email":"","affiliations":[{"id":38203,"text":"Faculty of Natural Resources, University of Jiroft, Kerman, Iran","active":true,"usgs":false}],"preferred":false,"id":753470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":753466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Saro","contributorId":211255,"corporation":false,"usgs":false,"family":"Lee","given":"Saro","email":"","affiliations":[{"id":38201,"text":"Geological Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon 305350, Korea","active":true,"usgs":false}],"preferred":false,"id":753468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shahabi, Himan","contributorId":211258,"corporation":false,"usgs":false,"family":"Shahabi","given":"Himan","email":"","affiliations":[{"id":38204,"text":"Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran","active":true,"usgs":false}],"preferred":false,"id":753471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bin Ahmad, Baharin","contributorId":211259,"corporation":false,"usgs":false,"family":"Bin Ahmad","given":"Baharin","email":"","affiliations":[{"id":38205,"text":"Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Malaysia","active":true,"usgs":false}],"preferred":false,"id":753472,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223253,"text":"70223253 - 2019 - Running on empty: Recharge dynamics from animal movement data","interactions":[],"lastModifiedDate":"2021-08-19T16:21:18.119233","indexId":"70223253","displayToPublicDate":"2018-12-09T11:19:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Running on empty: Recharge dynamics from animal movement data","docAbstract":"Vital rates such as survival and recruitment have always been important in the study of population and community ecology. At the individual level, physiological processes such as energetics are critical in understanding biomechanics and movement ecology and also scale up to influence food webs and trophic cascades. Although vital rates and population-level characteristics are tied with individual-level animal movement, most statistical models for telemetry data are not equipped to provide inference about these relationships because they lack the explicit, mechanistic connection to physiological dynamics. We present a framework for modelling telemetry data that explicitly includes an aggregated physiological process associated with decision making and movement in heterogeneous environments. Our framework accommodates a wide range of movement and physiological process specifications. We illustrate a specific model formulation in continuous-time to provide direct inference about gains and losses associated with physiological processes based on movement. Our approach can also be extended to accommodate auxiliary data when available. We demonstrate our model to infer mountain lion (Puma concolor; in Colorado, USA) and African buffalo (Syncerus caffer; in Kruger National Park, South Africa) recharge dynamics.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.13198","usgsCitation":"Hooten, M., Scharf, H.R., and Morales, J.M., 2019, Running on empty: Recharge dynamics from animal movement data: Ecology Letters, v. 22, no. 2, p. 377-389, https://doi.org/10.1111/ele.13198.","productDescription":"13 p.","startPage":"377","endPage":"389","ipdsId":"IP-101207","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468032,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.gla.ac.uk/277798/","text":"External Repository"},{"id":388161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-12-09","publicationStatus":"PW","contributors":{"authors":[{"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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":821532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharf, Henry R.","contributorId":206652,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":37371,"text":"Colorado State University, Department of Statistics","active":true,"usgs":false}],"preferred":false,"id":821533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morales, Juan M.","contributorId":171521,"corporation":false,"usgs":false,"family":"Morales","given":"Juan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":821534,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202673,"text":"70202673 - 2019 - Acidification impacts and goals for gauging recovery of Brook Trout populations and fish communities in streams of the Western Adirondack Mountains, New York, USA","interactions":[],"lastModifiedDate":"2019-03-18T14:56:27","indexId":"70202673","displayToPublicDate":"2018-12-07T14:51:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Acidification impacts and goals for gauging recovery of Brook Trout populations and fish communities in streams of the Western Adirondack Mountains, New York, USA","docAbstract":"Results from several long‐term monitoring programs in the western Adirondack Mountains, New York, indicate that acid–base chemistry of headwater streams has remained unchanged or improved only marginally since the 1990s. A paucity of quantitative fishery data, however, limits our understanding of the pre‐acidified communities as well as present‐day impacts of acidification on fish assemblages, which impedes efforts to evaluate temporal trends and biological recovery in streams of the region. Fish communities were characterized at 48 streams (chemistry was assessed at 47 streams) in the western Adirondacks at least once during summer 2014–2016 to assess present‐day effects of acidification on fish assemblages, refine important relations, and identify biological targets and chemical effect thresholds that could help gauge biological recovery across the region. Concentrations of inorganic aluminum (Ali) exceeded chronic and acute toxicity thresholds (1.0 and 2.0 μmol/L) in 21.3% and 8.5%, respectively, of 47 study streams sampled during summer 2014–2016 and in 64.0% and 44.0% of 25 streams sampled during spring 2014–2015. In streams with summer Aliconcentrations less than 1.0 μmol/L, community richness, density, and biomass averaged 2.0 species, 444.2 fish/0.1 ha, and 1,924.4 g/0.1 ha, respectively, whereas density and biomass of Brook Trout Salvelinus fontinalis populations averaged 280.8 fish/0.1 ha and 1,384.0 g/0.1 ha, respectively. These findings identify defensible targets for biological recovery and show that Ali toxicity is not a major concern for fish assemblages in most streams during summer base flow periods but is potentially a serious issue for fish in as many as two‐thirds of streams during spring high flows. Though additional data are needed to address several limitations and information gaps, results from this study provide a sound foundation to gauge biological recovery, detect future effects of climatic stressors, and help ensure that functional stream ecosystems can be sustained or restored in parts of the Adirondacks.
","language":"English","publisher":"Wiley ","doi":"10.1002/tafs.10137","usgsCitation":"Baldigo, B., George, S., Lawrence, G., and Paul, E., 2019, Acidification impacts and goals for gauging recovery of Brook Trout populations and fish communities in streams of the Western Adirondack Mountains, New York, USA: Transactions of the American Fisheries Society, v. 148, no. 2, p. 373-392, https://doi.org/10.1002/tafs.10137.","productDescription":"20 p.","startPage":"373","endPage":"392","ipdsId":"IP-098030","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":468033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10137","text":"Publisher Index Page"},{"id":362148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.26184082031249,\n 43.59630591596548\n ],\n [\n -73.5150146484375,\n 43.59630591596548\n ],\n [\n -73.5150146484375,\n 44.18220395771566\n ],\n [\n -75.26184082031249,\n 44.18220395771566\n ],\n [\n -75.26184082031249,\n 43.59630591596548\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry","contributorId":214240,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott","contributorId":214241,"corporation":false,"usgs":true,"family":"George","given":"Scott","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":214242,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paul, Eric","contributorId":214243,"corporation":false,"usgs":false,"family":"Paul","given":"Eric","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":759430,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204350,"text":"70204350 - 2019 - River reach restored by dam removal offers suitable spawning habitat for endangered Shortnose Sturgeon","interactions":[],"lastModifiedDate":"2019-07-18T14:39:38","indexId":"70204350","displayToPublicDate":"2018-12-07T14:38:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"River reach restored by dam removal offers suitable spawning habitat for endangered Shortnose Sturgeon","docAbstract":"The lowermost dam on the Penobscot River, Maine, was removed in 2013, making new habitat available for migratory fish. There is no evidence that endangered Shortnose Sturgeon Acipenser brevirostrum have spawned in the Penobscot River in recent years, but dam removal has facilitated access to potential freshwater habitat essential for spawning. Spawning success also depends on the quality of the available habitat. We sought to describe the distribution and amount of suitable spawning habitat in the first 5-km reach upstream of the removed dam. Previously collected river elevation and bottom substrate data were used to create two-dimensional hydrodynamic simulations of the reach for spring discharges ranging from 310 to 1480 m3 s-1 using the program River2D. Simulations were validated and adjusted using field-collected data. Suitable spawning habitat was predicted based on literature-informed suitability curves of depth, velocity, and bottom substrate. Between 41% and 63% of the study area offered usable spawning habitat, depending on river discharge. Velocity was the most limiting characteristic to overall suitability at all modeled discharges. Embeddedness was minimal at suitable sites. Based on the habitat characteristics considered, the newly accessible reach of the Penobscot River could support Shortnose Sturgeon spawning, offering critical habitat for this endangered species.","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10126","usgsCitation":"Zydlewski, J.D., Johnston, C., Gayle Barbin Zydlewski, Sean Smith, and Kinnison, M.T., 2019, River reach restored by dam removal offers suitable spawning habitat for endangered Shortnose Sturgeon: Transactions of the American Fisheries Society, v. 148, no. 1, p. 163-175, https://doi.org/10.1002/tafs.10126.","productDescription":"13 p.","startPage":"163","endPage":"175","ipdsId":"IP-079297","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468034,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/tafs.10126","text":"External Repository"},{"id":365727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":766468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Catherine","contributorId":217260,"corporation":false,"usgs":false,"family":"Johnston","given":"Catherine","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":766469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gayle Barbin Zydlewski","contributorId":217261,"corporation":false,"usgs":false,"family":"Gayle Barbin Zydlewski","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":766470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sean Smith","contributorId":217262,"corporation":false,"usgs":false,"family":"Sean Smith","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":766471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinnison, Michael T.","contributorId":169682,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":766472,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201221,"text":"70201221 - 2019 - Seasonality of nitrate sources and isotopic composition in the Upper Illinois River","interactions":[],"lastModifiedDate":"2018-12-07T13:48:06","indexId":"70201221","displayToPublicDate":"2018-12-07T13:47:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality of nitrate sources and isotopic composition in the Upper Illinois River","docAbstract":"To improve understanding of spatial, seasonal, and inter-annual variations in nitrate sources and in-stream processes in the Illinois River system, nitrate concentrations and isotopic compositions were measured in 445 water samples collected over a four-year period (2004–2008) from the Upper Illinois River Basin (UIRB). Samples included surface water in the river and major tributaries, effluent samples from Chicago’s largest wastewater treatment plant (WTP), and representative groundwater from shallow wells in agricultural land. Two principal nitrate endmember sources within the UIRB had distinctive isotopic compositions: WTP effluent with δ15N = 8.6 ± 1.7‰ and δ18O = 0.8 ± 1.4‰ and agricultural groundwater with δ15N-NO3 = 3.4 ± 0.6‰ and δ18O = 3.7 ± 0.5‰ (when minimally affected by nitrate reduction). Isotopic data indicated that the large pulse of nitrate exported from the river basin during the spring was mostly derived from agricultural land drainage, while nitrate from large WTP effluent point sources was predominant in the upper reaches of the river near Chicago. During low base-flow conditions in late-summer and fall, the agricultural nitrate source was greatly diminished and the headwater WTP source was predominant in the river basin export. Our results indicated biogeochemical nitrate reduction and isotopic fractionation occurred within the river network, affecting both agricultural and urban sources during surface-water transport. In addition, diminished agricultural nitrate export was attributable to preferential discharge of biogeochemically reduced groundwater during low base flow. Isotopic indicators of spatial and seasonal variations in the relative importance of different nitrate sources, and their relative susceptibility to natural attenuation, might be useful for guiding monitoring and management practices to reduce nitrate export from complex watersheds with mixed land uses.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.11.043","usgsCitation":"Lin, J., Bohlke, J., Huang, S., Gonzalez-Meler, M., and Sturchio, N.C., 2019, Seasonality of nitrate sources and isotopic composition in the Upper Illinois River: Journal of Hydrology, v. 568, p. 849-861, https://doi.org/10.1016/j.jhydrol.2018.11.043.","productDescription":"13 p.","startPage":"849","endPage":"861","ipdsId":"IP-100439","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468035,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2018.11.043","text":"Publisher Index Page"},{"id":437613,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93WD0TH","text":"USGS data release","linkHelpText":"Chemical and isotopic data for a study of seasonality of nitrate sources and isotopic composition in the Upper Illinois River, 2004-2008"},{"id":360057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Illinois River","volume":"568","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b957ae4b0c53ecb2aca7c","contributors":{"authors":[{"text":"Lin, Jiajia","contributorId":211160,"corporation":false,"usgs":false,"family":"Lin","given":"Jiajia","email":"","affiliations":[{"id":38185,"text":"USEPA, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":753315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":753314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Sheng","contributorId":211161,"corporation":false,"usgs":false,"family":"Huang","given":"Sheng","email":"","affiliations":[{"id":38186,"text":"Washington DC Dept. of Energy and Environment","active":true,"usgs":false}],"preferred":false,"id":753316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez-Meler, Miquel","contributorId":211162,"corporation":false,"usgs":false,"family":"Gonzalez-Meler","given":"Miquel","email":"","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":753317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":753318,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201205,"text":"70201205 - 2019 - Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream","interactions":[],"lastModifiedDate":"2019-02-21T14:47:54","indexId":"70201205","displayToPublicDate":"2018-12-06T11:04:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream","docAbstract":"Nonnative trout are a considerable threat to native salmonids, yet our understanding of the mechanisms behind interspecific interactions remains limited. We evaluated the impacts of nonnative Brown Trout Salmo salar on a population of Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri in Montana. We contrasted diets, growth, and survival of Yellowstone Cutthroat Trout occurring in allopatry (i.e., where no Brown Trout were present) with individuals sympatric (i.e., co‐occurring) with nonnative Brown Trout. We assessed summer and autumn diets using gastric lavage methods and survival and growth using mark–recapture analyses. Overlap in diets at sites where Yellowstone Cutthroat Trout were sympatric with Brown Trout was high during July (Horn's index: H = 0.94) and October (H = 0.83). In the presence of Brown Trout, Yellowstone Cutthroat Trout growth rates were significantly lower for juvenile (<175 mm) length and adult (≥175 mm) length and mass than in allopatric sites. Allopatric Yellowstone Cutthroat Trout survival was greater across size‐classes; the most pronounced difference was in the age‐2 size‐class (125–175 mm). Together, these results in concert with observed changes in length‐frequency data, indicating a considerable lack of Yellowstone Cutthroat Trout recruitment where they are sympatric with Brown Trout, suggest the negative implications of Brown Trout are notable.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10244","usgsCitation":"Al-Chokhachy, R.K., and Sepulveda, A.J., 2019, Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream: North American Journal of Fisheries Management, v. 39, no. 1, p. 17-28, https://doi.org/10.1002/nafm.10244.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-091263","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":359979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Duck Creek","volume":"39","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-27","publicationStatus":"PW","scienceBaseUri":"5c0a4356e4b0815414d28128","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":753215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":753216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201209,"text":"70201209 - 2019 - Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams","interactions":[],"lastModifiedDate":"2018-12-06T10:46:43","indexId":"70201209","displayToPublicDate":"2018-12-06T10:46:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams","docAbstract":"Complex chemical mixtures have been widely reported in larger streams but relatively little work has been done to characterize them and assess their potential effects in headwaterstreams. In 2014, the United States Geological Survey (USGS) sampled 54 Piedmont streams over ten weeks and measured 475 unique organic compounds using five analytical methods. Maximum and median exposure conditions were evaluated in relation to watershed characteristics and for potential biological effects using multiple lines of evidence. Results demonstrate that mixed-contaminant exposures are ubiquitous and varied in sampled headwater streams. Approximately 56% (264) of the 475 compounds were detected at least once across all sites. Cumulative maximum concentrations ranged 1,922–162,346 ng L−1 per site. Chemical occurrence significantly correlated to urban land use but was not related to presence/absence of wastewater treatment facility discharges. Designed bioactive chemicals represent about 2/3rd of chemicals detected, notably pharmaceuticals and pesticides, qualitative evidence for possible adverse biological effects. Comparative Toxicogenomics Database chemical-gene associations applied to maximum exposure conditions indicate >12,000 and 2,900 potential gene targets were predicted at least once across all sites for fish and invertebrates, respectively. Analysis of cumulative exposure-activity ratios provided additional evidence that, at a minimum, transient exposures with high probability of molecular effects to vertebrates were common. Finally, cumulative detections and concentrations correlated inversely with invertebrate metrics from in-stream surveys. The results demonstrate widespread instream exposure to extensive contaminant mixtures and compelling multiple lines of evidence for adverse effects on aquatic communities.
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Predictions correspond to any pixel on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid. Total annual precipitation and percent forest cover were consistently the most important predictor variables among global and most subregional models, which had error rates between 17 and 22%. Probabilities were converted to wet and dry streamflow permanence classes with an associated confidence. Wet and dry classifications were used to derive descriptors that characterize the statistical and spatial distribution of streamflow permanence in three focal basins. Predicted dry channel segments account for 52 to 92% of the stream network across the three focal basins; streamflow permanence decreased during climatically drier years. Predictions are publicly available through the USGS StreamStats platform. 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project","interactions":[],"lastModifiedDate":"2021-01-04T17:26:40.313299","indexId":"70217078","displayToPublicDate":"2018-12-05T11:07:01","publicationYear":"2019","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":"The Albuquerque Seismological Lab WWSSN film chip preservation project","docAbstract":"From 1961 to 1996, the Albuquerque Seismological Laboratory (ASL) installed and operated the World‐Wide Standardized Seismograph Network (WWSSN). Each station within the network consisted of three Benioff short‐period sensors and three Sprengnether Press‐Ewing long‐period sensors along with recording, timing, and calibration equipment. Approximately 3.7 million single‐day record film chips were created from station records (paper seismograms) covering the period from 1962 to 1978. Two almost complete copies of these film chips are still known to exist at the ASL and at the Lamont–Doherty Earth Observatory (LDEO) as well as a couple of partial sets in other locations. To better preserve the data on these film chips, a project to scan the film chips and to make these scans available through the Incorporated Research Institutions for Seismology (IRIS) was started by W. H. K. Lee. The initial focus was on scanning film chips from a collection of specific earthquakes and nuclear events as well as complete scans of a number of reference stations. However, additional scans containing seismograms useful for climate studies were also completed. As part of this report, we cataloged all of the scanned WWSSN film chips with the hope that it serves as useful documentation as to what film chips have been scanned and of the location of the scans themselves at the IRIS‐Data Management Center (DMC) archive page (see Data and Resources).
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180275","usgsCitation":"Alejandro, A.C., Hutt, C.R., Ringler, A.T., Moore, S.V., Anthony, R.E., and Wilson, D.C., 2019, The Albuquerque Seismological Lab WWSSN film chip preservation project: Seismological Research Letters, v. 90, no. 1, p. 401-408, https://doi.org/10.1785/0220180275.","productDescription":"8 p.","startPage":"401","endPage":"408","ipdsId":"IP-103010","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":381853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Alejandro, Alexis Casondra Bianca 0000-0002-3401-9303","orcid":"https://orcid.org/0000-0002-3401-9303","contributorId":246023,"corporation":false,"usgs":true,"family":"Alejandro","given":"Alexis","email":"","middleInitial":"Casondra Bianca","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Sabrina Veronica 0000-0003-3059-8261","orcid":"https://orcid.org/0000-0003-3059-8261","contributorId":246022,"corporation":false,"usgs":true,"family":"Moore","given":"Sabrina","email":"","middleInitial":"Veronica","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807526,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201190,"text":"70201190 - 2019 - Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management","interactions":[],"lastModifiedDate":"2018-12-05T10:49:25","indexId":"70201190","displayToPublicDate":"2018-12-05T10:49:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management","docAbstract":"We present a conceptual model that explores the relationship of streamflow trends to 15 water-quality parameters at 370 sites across the contiguous United States (US). Our analytical framework uses discrete water-quality data, daily streamflow records, and a statistical model to estimate water-quality trends between 1982 and 2012 and parse these trends into the amount of change attributed to trends in streamflow versus changes in watershed management, such as changes in point or non-point sources related to pollution control efforts. We conceptualize a water-quality trend as an additive function of these two trend components. We found that for most of these records the water-quality trends were more strongly affected by changes in watershed management as opposed to trends in streamflow. However, the importance of these trend components on water quality varied by estimate type (i.e. concentration versus load trends), parameter, and site. Trends in load were more influenced by changes in the streamflow regime than trends in concentration. Trends in major ions, salinity, and sediment were more sensitive to changes in streamflow than nutrients. When results were aggregated by site, 25% of the sites had at least 1 parameter where streamflow trends attributed >7.5% to the water-quality trend for concentrations. For loads, this was the case for 66% of the sites. The findings of this work have important implications for the analysis of water-quality trends. Understanding the relative role of streamflow and management changes can help to isolate the effects of pollution control efforts on water quality and provide clearer understanding of progress, or lack thereof, towards water-quality goals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.255","usgsCitation":"Murphy, J.C., and Sprague, L.A., 2019, Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management: Science of the Total Environment, v. 656, p. 645-658, https://doi.org/10.1016/j.scitotenv.2018.11.255.","productDescription":"14 p.","startPage":"645","endPage":"658","ipdsId":"IP-101146","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":468039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.255","text":"Publisher Index Page"},{"id":359958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"656","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c08f1c4e4b0815414d0bbf9","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":167405,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":753131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":753132,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226716,"text":"70226716 - 2019 - Geographic attribution of soils using probabilistic modeling of GIS data for forensic search efforts","interactions":[],"lastModifiedDate":"2021-12-07T13:10:00.198493","indexId":"70226716","displayToPublicDate":"2018-12-05T07:07:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Geographic attribution of soils using probabilistic modeling of GIS data for forensic search efforts","docAbstract":"Examinations of soil traces associated with forensic evidence can be used to narrow potential source area(s) by characterizing features of the trace soil assemblage, some of which are limited to specific regions. Soil characteristics may be used to infer the likelihoods of the soil trace being derived from distinct areas within digital maps, including both maps of discrete classes such as formations on geologic maps and land cover, and continuous geospatial data, such as distance from a point source. Seldom do digital maps precisely represent the observable characteristics in a soil trace. Nevertheless, logical assigned likelihoods based on the correspondence between the mapped characteristics and the observed soil particulate assemblage permit creation of a model of the more probable sources of the soil trace. This approach is applied to a 2003 case in which forensic soil samples derived from digging tools were characterized for investigative leads and to narrow the search area of a clandestine grave. This grave site was located in 2005. The suspect traveled approximately 5,000 km before arrest, so narrowing the prioritized search area for law enforcement would be beneficial. Soil examination and case circumstances were used to assign relative likelihoods within digital maps (GIS or Geographic Information Systems data) of geology, soil mineralogy, plant distributions, power plant locations, and proximity to the known travel path. The product of these individual probability maps generates joint probability models to narrow the recommended search area. The digital model output can be easily overlaid on infrastructure maps to aid law enforcement searches.
Using empirical location data from individuals to model habitat quality and species distributions is valuable towards understanding habitat use of wildlife, especially for conservation and management planning. Incorporating measures of reproductive success or survival into these models helps address the role of vital rates (a surrogate of fitness) in affecting a species’ distribution. We used 24-year datasets of Arctic peregrine falcon (Falco peregrinus tundrius) nest-site locations and productivity from the Colville River Special Area, Alaska, USA to model suitability of breeding habitat and the relative quality of used and potential nest sites. We used zero-inflated negative binomial regression models and covariates describing nest-site productivity, area of surrounding prey habitat, geology, topography, and land-cover type to model and predict intensity of Arctic peregrine falcon nest-site use along the Colville River, and developed a predictive map of intensity of nest-site use. Regions of higher predicted intensity of use were characterized by steeper slopes, greater area of prey habitat, and higher average productivity, which are likely attributed to minimizing predation risk, gaining advantages for hunting, having sufficient prey resources, site quality, and overall fitness. Including productivity in intensity of nest-site use models improved the models, supporting our supposition that adding a fitness parameter enhanced the predictive capability of the species distribution model. Areas predicted to have higher intensity of use by our model can be used to focus efforts of continued protection of areas with frequently occupied and productive nest sites, and conversely, identify areas where protection of nest sites is likely to have few conservation benefits.
","language":"English","publisher":"BioOne","doi":"10.2981/wlb.00475","usgsCitation":"Andersen, D.E., Bruggeman, J.E., Swem, T., Kennedy, P.L., and Debora Nigro, 2019, Incorporating productivity as a measure of fitness into models of breeding area quality of Arctic peregrine falcons: Wildlife Biology, 00475, 12 p., https://doi.org/10.2981/wlb.00475.","productDescription":"00475, 12 p.","ipdsId":"IP-084116","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00475","text":"Publisher Index Page"},{"id":365941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Colville River Special Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.0,67.0 ], [ -158.0,71.5 ], [ -141.57,71.5 ], [ -141.57,67.0 ], [ -158.0,67.0 ] ] ] } } ] }","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":767010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruggeman, Jason E.","contributorId":217529,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":767011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swem, Ted","contributorId":217530,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":767012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Patricia L.","contributorId":217531,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patricia","email":"","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":767013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Debora Nigro","contributorId":217532,"corporation":false,"usgs":false,"family":"Debora Nigro","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":767014,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227927,"text":"70227927 - 2019 - An analysis of autocorrelation and bias in home range estimation","interactions":[],"lastModifiedDate":"2022-02-03T12:25:05.493932","indexId":"70227927","displayToPublicDate":"2018-12-01T15:33:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of autocorrelation and bias in home range estimation","docAbstract":"Home range estimation is routine practice in ecological research. While advances in animal tracking technology have increased our capacity to collect data to support home range analysis, these same advances have also resulted in increasingly autocorrelated data. Consequently, the question of which home range estimator to use on modern, highly autocorrelated tracking data remains open. This question is particularly relevant given that most estimators assume independently sampled data. Here, we provide a comprehensive evaluation of the effects of autocorrelation on home range estimation. We base our study on an extensive data set of GPS locations from 369 individuals representing 27 species distributed across five continents. We first assemble a broad array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated-Gaussian reference function AKDE, Silvermans rule of thumb, and least squares cross-validation), Minimum Convex Polygon, and Local Convex Hull methods. Notably, all of these estimators except AKDE assume independent and identically distributed (IID) data. We then employ half-sample cross-validation to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ( N̂ area ) to quantify the information content of each data set. We found that AKDE 95% area estimates were larger than conventional IID-based estimates by a mean factor of 2. The median number of cross-validated locations included in the hold-out sets by AKDE 95% (or 50%) estimates was 95.3% (or 50.1%), confirming the larger AKDE ranges were appropriately selective at the specified quantile. Conversely, conventional estimates exhibited negative bias that increased with decreasing N̂ area . To contextualize our empirical results, we performed a detailed simulation study to tease apart how sampling frequency, sampling duration, and the focal animals movement conspire to affect range estimates. Paralleling our empirical results, the simulation study demonstrated that AKDE was generally more accurate than conventional methods, particularly for small N̂ area . While 72% of the 369 empirical data sets had >1,000 total observations, only 4% had an N̂ area >1,000, where 30% had an N̂ area <30. In this frequently encountered scenario of small N̂ area , AKDE was the only estimator capable of producing an accurate home range estimate on autocorrelated data.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1344","usgsCitation":"Noonan, M.T., Tucker, M.A., Fleming, C.H., Akre, T., Alberts, S.C., Ali, A.H., Altmann, J., Antunes, P.C., Belant, J.L., Beyer, D., Blaum, N., Bohning-Gaese, K., Cullen, L., Cunha de Paula, R., Dekker, J., Drescher-Lehman, J., Farwig, N., Fichtel, C., Fischer, C., Ford, A.T., Goheen, J.R., Janssen, R., Jeltsch, F., Kauffman, M., Kappeler, P.M., Koch, F., LaPoint, S., Markham, A.C., Medici, E.P., Morato, R.G., Nathan, R., Oliveira-Santos, L.G., Olson, K.A., Patterson, B.D., Paviolo, A., Esterci Ramalho, E., Rosner, S., Schabo, D.G., Selva, N., Sergiel, A., Xavier da Silva, M., Spiegel, O., Thompson, P.C., Ullmann, W., Zieba, F., Zwijacz-Kozica, T., Fagan, W.F., Mueller, T., and Calabrese, J., 2019, An analysis of autocorrelation and bias in home range estimation: Ecological Monographs, v. 89, no. 2, e01344, 21 p., https://doi.org/10.1002/ecm.1344.","productDescription":"e01344, 21 p.","ipdsId":"IP-094900","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468041,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecm.1344","text":"External Repository"},{"id":395326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Noonan, Michael T.","contributorId":274079,"corporation":false,"usgs":false,"family":"Noonan","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":832798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Marlee A.","contributorId":204648,"corporation":false,"usgs":false,"family":"Tucker","given":"Marlee","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleming, Christen H.","contributorId":205080,"corporation":false,"usgs":false,"family":"Fleming","given":"Christen","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":832765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akre, Thomas S.","contributorId":274080,"corporation":false,"usgs":false,"family":"Akre","given":"Thomas S.","affiliations":[],"preferred":false,"id":832799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alberts, Susan C","contributorId":205056,"corporation":false,"usgs":false,"family":"Alberts","given":"Susan","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":832766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ali, Abdullahi H.","contributorId":204993,"corporation":false,"usgs":false,"family":"Ali","given":"Abdullahi","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":832767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Altmann, Jeanne","contributorId":274081,"corporation":false,"usgs":false,"family":"Altmann","given":"Jeanne","email":"","affiliations":[],"preferred":false,"id":832800,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Antunes, Pamela Castro","contributorId":274082,"corporation":false,"usgs":false,"family":"Antunes","given":"Pamela","email":"","middleInitial":"Castro","affiliations":[],"preferred":false,"id":832801,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":832768,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Beyer, Dean","contributorId":205063,"corporation":false,"usgs":false,"family":"Beyer","given":"Dean","affiliations":[],"preferred":false,"id":832769,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Blaum, Niels","contributorId":205066,"corporation":false,"usgs":false,"family":"Blaum","given":"Niels","email":"","affiliations":[],"preferred":false,"id":832770,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bohning-Gaese, Katrin","contributorId":274083,"corporation":false,"usgs":false,"family":"Bohning-Gaese","given":"Katrin","affiliations":[],"preferred":false,"id":832802,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cullen, 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2019 - Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2019-08-09T11:03:00","indexId":"70204659","displayToPublicDate":"2018-12-01T14:35:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA","docAbstract":"Rarity and life history traits inform multiple dimensions of intrinsic risk to climate and environmental change and can help systematically identify at-risk species. We quantified relative geographic rarity (area of occupancy), climate niche breadth, and life history traits for 114 freshwater fishes, amphibians, and reptiles in the U.S. Pacific Northwest. Our approach leveraged presence-only, publicly available data and traits-based inference to evaluate area of occupancy, climate sensitivity (i.e., climate niche breadth), and a Rarity and Climate Sensitivity\n(RCS) index of all species across multiple geographic extents, grain sizes, and data types. The RCS index was relatively stable across extents, grains, and data types, with climate sensitivity differentiating species with otherwise similar areas of occupancy. We also found that species with sensitivity-associated traits (e.g., long generation time, low fecundity) were not necessarily the same species identified as at-risk with geographical approaches (small range size, small climate niche breadth). Many multispecies assessments using coarse-scale data (e.g., entire range maps or convex-hull approaches) often focus on a single dimension of intrinsic risk;\nothers rely on data-intensive models only applicable to a few well-studied species. What remains is a need for an approach that enables multispecies, multidimensional assessment efforts. This is particularly true at regional scales, where management needs require assessments that are intermediate to coarse- and fine-scale approaches. We demonstrate that by considering multiple dimensions of intrinsic risk to climate change (range size, climate sensitivity, and traits), site-specific locality data may offer a pathway for ensuring vulnerable, understudied species do not go overlooked in conservation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.10.012","usgsCitation":"Meryl Mims, Deanna H. Olson, Pilliod, D.S., and Dunham, J.B., 2019, Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA: Biological Conservation, v. 228, p. 183-194, https://doi.org/10.1016/j.biocon.2018.10.012.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-102394","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.10.012","text":"Publisher Index Page"},{"id":366420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127.265625,\n 40.212440718286466\n ],\n [\n -115.26855468749999,\n 40.212440718286466\n ],\n [\n -115.26855468749999,\n 49.95121990866204\n ],\n [\n -127.265625,\n 49.95121990866204\n ],\n [\n -127.265625,\n 40.212440718286466\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"228","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meryl Mims","contributorId":217970,"corporation":false,"usgs":false,"family":"Meryl Mims","affiliations":[],"preferred":false,"id":767946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deanna H. 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The geographic ranges of these two species were historically separated by Kanawha Falls, a natural barrier to fish dispersal located at Glen Ferris, WV. In the early 1980s, Variegate Darters or putative hybrids (E. osburni × E. variatum) were first collected at locations upstream of Kanawha Falls, and have since undergone range expansion. Hybridization with the Variegate Darter was one of the threats that led to the Candy Darter being proposed for listing under the U.S. Endangered Species Act in 2017. Genetic and morphologic data were examined for individuals from the New, Gauley, and Greenbrier river drainages. Individuals were genotyped using a suite of 5 diagnostic microsatellite loci to investigate potential hybridization. Widespread hybridization was found throughout populations of Candy Darters, with the geographic range of hybridization expanding from 2004 to 2014. A hybrid zone was observed, with the highest levels of Variegate Darter introgression representing the kernel within this zone and the locations of first-generation (F1) hybrids at the periphery. F1 hybrids were morphologically intermediate within and across characters for parental species. Introgressive hybridization threatens the genetic integrity of the Candy Darter, and may lead to population extirpation or extinction.
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2019 - Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches","interactions":[],"lastModifiedDate":"2019-05-02T08:37:35","indexId":"70203268","displayToPublicDate":"2018-12-01T07:15:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches","docAbstract":"","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.290","usgsCitation":"Hill, A.F., Stallard, R., and Rittger, K., 2019, Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches: Elementa: Science of the Anthropocene, v. 6, no. 1, 22 p., https://doi.org/10.1525/elementa.290.","productDescription":"22 p.","ipdsId":"IP-091037","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.290","text":"Publisher Index Page"},{"id":363471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","otherGeospatial":"Marañón River","volume":"6","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Alice F.","contributorId":215273,"corporation":false,"usgs":false,"family":"Hill","given":"Alice","email":"","middleInitial":"F.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert 0000-0001-8209-7608","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":215272,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":761966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rittger, Karl","contributorId":215274,"corporation":false,"usgs":false,"family":"Rittger","given":"Karl","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761968,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201139,"text":"70201139 - 2019 - Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA","interactions":[],"lastModifiedDate":"2018-11-30T14:59:36","indexId":"70201139","displayToPublicDate":"2018-11-30T14:59:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA","docAbstract":"Identifying floodplains with high rates of denitrification will help prioritize restoration projects for the removal of nitrogen. Currently, relationships of denitrification with hydrogeomorphic, physiographic, and climate (i.e., largescale) characteristics of floodplains are relatively unknown, even though these characteristics have datasets (e.g., geographic mapping tools) that are publicly available (or soon-to-become) that could be used to understand denitrification variability. Thus, we investigated control of denitrification by these largescale characteristics in eighteen nontidal floodplains of the Chesapeake Bay watershed (i.e., at regional scale, >100 km, scale), using measurements or compiled data at the scales of the stream reach and respective catchment; floodplain soil and herbaceous vegetation (i.e., local) characteristics were additionally investigated. Soil denitrification potentials were measured in May, July, and August using complementary acetylene-based techniques under an anoxic environment. Linear largescale predictors of denitrification potential measurements included stream nitrogen and phosphorus concentrations (+), channel width-to-depth ratio (+), floodplain sedimentation (+), forested (−) and urban (+) catchment land cover, and seasonal air temperature (−). Three predictors, catchment forested land cover (strongly related to agricultural land cover), catchment urban land cover, and floodplain sedimentation were related to the most number of denitrification potential measurements. Soil structure, soil nutrient concentrations, and herbaceous vegetation characteristics that were seasonally measured (with a few exceptions) were linear predictors of denitrification potentials in May and August, with nitrogen and carbon characteristics the most consistent (positive) predictors across measurements. Nutrient amendment assays further supported the importance of nitrogen and carbon controls. Using the local characteristics as statistical mediators in path analysis, greater non-forested catchment land cover indirectly increased denitrification through greater floodplain soil nitrate, total phosphorus, and herbaceous aboveground biomass. Additionally, greater floodplain sedimentation indirectly increased denitrification through greater soil pH, total phosphorus, and potential carbon mineralization. Due to the consistency of relationships across denitrification potential measurements along with path modeling results, hotspots of floodplain denitrification should be found in urban and agricultural catchments where river-floodplain hydrologic connectivity promotes sedimentation. Largescale predictors explained 43–57% of the variation in denitrification potentials and should be useful for prediction in floodplains. Siting restoration projects in watersheds for maximum nitrate removal using publicly available largescale datasets is both feasible and effective.
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gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":752885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahn, Changwoo","contributorId":191303,"corporation":false,"usgs":false,"family":"Ahn","given":"Changwoo","email":"","affiliations":[],"preferred":false,"id":752887,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206001,"text":"70206001 - 2019 - Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target","interactions":[],"lastModifiedDate":"2019-10-18T06:35:29","indexId":"70206001","displayToPublicDate":"2018-11-29T07:36:51","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target","docAbstract":"The late Eocene Chesapeake Bay impact structure was formed in a multilayered target of seawater underlain sequentially by a sediment layer and a rock layer in a continental-shelf environment. Impact effects in the “brim” (annular trough) surrounding and adjacent to the transient crater, between the transient crater rim and the outer margin, primarily were limited to the target-sediment layer. Analysis of published and new lithostratigraphic, biostratigraphic, sedimentologic, petrologic, and mineralogic studies of three core holes, and published studies of a fourth core hole, provided information for the interpretation of the impact processes, their interactions and relative timing, their resulting products, and sedimentation in the brim. Most studies of marine impact-crater materials have focused on those found in the central crater. There are relatively few large, complex marine craters, of which most display a wide brim around the central crater. However, most have been studied using minimal data sets. The large number of core holes and seismic profiles available for study of the Chesapeake Bay impact structure presents a special opportunity for research. The physical and chronologic records supplied by study of the sediment and rock cores of the Chesapeake Bay impact indicate that the effects of the initial, short-lived contact and compression and excavation stages of the impact event primarily were limited to the transient crater. Only secondary effects of these processes are evident in the brim. The preserved record of the brim was created primarily in the subsequent modification stage. In the brim, the records of early impact processes (e.g., outgoing tsunamis, overturned flap collapse) were modified or removed by later processes. Transported and rotated, large and small clasts of target sediments, and intervals of fluidized sands indicate that seismic shaking fractured and partially fluidized the Cretaceous and Paleogene target sediments, which led to their inward transport by collapse and lateral spreading toward the transient crater. The succeeding inward seawater-resurge flow quickly overtook and interacted with the lateral spreading, further facilitating sediment transport across the brim and into the transient crater. Variations in the cohesion and relative depth of the target sediments controlled their degree of disaggregation and redistribution during these events. Melt clasts and shocked and unshocked rock clasts in the resurge sediments indicate fallout from the ejecta curtain and plume. Basal parautochthonous remnant sections of target Cretaceous sediments in the brim thin toward the collapsed transient crater. Overlying seawater-resurge deposits consist primarily of diamictons that vary laterally in thickness, and vertically and laterally in maximum grain size. After cessation of resurge flow and re-establishment of pre-impact sea level, sandy sediment gravity flows moved from the margin to the center of the partially filled impact structure (shelf basin). The uppermost unit consists of stratified sediments deposited from suspension. Postimpact clayey silts cap the crater fill and record the return to shelf sedimentation at atypically large paleodepths within the shelf basin. An unresolved question involves a section of gravel and sand that overlies Neoproterozoic granite in the inner part of the brim in one core hole. This section may represent previously unrecognized, now parautochthonous Cretaceous sediments lying nonconformably above basement granite, or it may represent target sediments that were moved significant distances by lateral spreading above basement rocks or above a granite megaclast from the overturned flap. The Chesapeake Bay impact structure is perhaps the best documented example of the small group of multilayer, marine-target impacts formed in continental shelves or beneath epeiric seas.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Chesapeake Bay impact structure—Development of brim sedimentation in a multilayered marine target","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2018.2537","usgsCitation":"Dypvik, H., Gohn, G., Edwards, L., Horton,, J., Powars, D., and Litwin, R., 2019, Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target, chap. of Chesapeake Bay impact structure—Development of brim sedimentation in a multilayered marine target, p. 1-68, https://doi.org/10.1130/2018.2537.","productDescription":"68 p.","startPage":"1","endPage":"68","ipdsId":"IP-080339","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":468046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/2018.2537","text":"Publisher Index Page"},{"id":368360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.38220214843749,\n 36.80048816579081\n ],\n [\n -75.5145263671875,\n 36.80048816579081\n ],\n [\n -75.5145263671875,\n 39.7240885773337\n ],\n [\n -77.38220214843749,\n 39.7240885773337\n ],\n [\n -77.38220214843749,\n 36.80048816579081\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dypvik, Henning","contributorId":219821,"corporation":false,"usgs":false,"family":"Dypvik","given":"Henning","email":"","affiliations":[{"id":24717,"text":"University of Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":773256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gohn, Gregory 0000-0003-2000-479X ggohn@usgs.gov","orcid":"https://orcid.org/0000-0003-2000-479X","contributorId":219822,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory","email":"ggohn@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":773257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Lucy 0000-0003-4075-3317","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":219823,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":773259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powars, David 0000-0002-6787-8964","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":219825,"corporation":false,"usgs":true,"family":"Powars","given":"David","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Litwin, Ronald","contributorId":219826,"corporation":false,"usgs":true,"family":"Litwin","given":"Ronald","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204941,"text":"70204941 - 2019 - Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification","interactions":[],"lastModifiedDate":"2019-08-23T15:41:36","indexId":"70204941","displayToPublicDate":"2018-11-28T15:35:29","publicationYear":"2019","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":"Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification","docAbstract":"Imperfect detection and misclassification errors are often ignored in the context of invasive species management. Here we present an approach that combines spatially explicit models and an optimization technique to design optimal search and destroy strategies based on noisy monitoring observations. We focus on two invasive plants, melaleuca (Melaleuca quinquenervia) and Old World climbing fern (Lygodium microphyllum), which continue to cause important damages to the Everglades ecosystem. We present a methodological framework that combines Hidden Markov Random Field (HMRF, initially developed for image analysis) and linear programming to optimally search for invasive species. A benefit of this approach is that it accounts for the spatial structure of the system by using a spatially explicit modeling approach (i.e. HMRF), and does not require repeated visits to model the probability of occurrence of species. We found on simulated cases that our approach can lead to substantial improvements in control efficiency when compared to state of the art model-free approaches. For example, in the case of the old world fern, simulations showed that the optimal strategy would allow managers to control up to 34% more sites than with model-free approaches that ignored misclassification and imperfect detection. For melaleuca it was possible to control up to 20% more sites. The vast increase in imagery data obtained from different sources (e.g. unmanned aerial systems, and satellite) provides great opportunities to improve management of natural resources by applying modern computational methods such as the one we present. Our approach can substantially increases the efficiency of invasive species control by accounting for imperfect detection, misclassification error and the spatial structure of the system. Our approach is applicable to other systems and problems, for example it could be applied to the control of plant pathogens, or optimal extraction of resources (e.g. minerals or biological resources).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.11.012","usgsCitation":"Bonneau, M., Martin, J., Peyrard, N., Rodgers, L., Romagosa, C.M., and Johnson, F., 2019, Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification: Ecological Modelling, v. 392, p. 108-116, https://doi.org/10.1016/j.ecolmodel.2018.11.012.","productDescription":"9 p.","startPage":"108","endPage":"116","ipdsId":"IP-089846","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2018.11.012","text":"Publisher Index Page"},{"id":366875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"392","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":769177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":214502,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peyrard, Nathalie","contributorId":218403,"corporation":false,"usgs":false,"family":"Peyrard","given":"Nathalie","email":"","affiliations":[],"preferred":false,"id":769179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodgers, LeRoy","contributorId":217557,"corporation":false,"usgs":false,"family":"Rodgers","given":"LeRoy","email":"","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":769180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":769181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Fred A. 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":213877,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204970,"text":"70204970 - 2019 - Overview of spirit microscopic imager results","interactions":[],"lastModifiedDate":"2019-08-28T10:57:49","indexId":"70204970","displayToPublicDate":"2018-11-28T14:22:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Overview of spirit microscopic imager results","docAbstract":"This paper provides an overview of Mars Exploration Rover Spirit Microscopic Imager (MI) operations and the calibration, processing, and analysis of MI data. The focus of this overview is on the last five Earth years (2005–2010) of Spirit's mission in Gusev crater, supplementing the previous overview of the first 450 sols of the Spirit MI investigation. Updates to radiometric calibration using in‐flight data and improvements in high‐level processing are summarized. Released data products are described, and a table of MI observations, including target/feature names and associated data sets, is appended. The MI observed natural and disturbed exposures of rocks and soils as well as magnets and other rover hardware. These hand‐lens‐scale observations have provided key constraints on interpretations of the formation and geologic history of features, rocks, and soils examined by Spirit. MI images complement observations by other Spirit instruments, and together show that impact and volcanic processes have dominated the origin and evolution of the rocks in Gusev crater, with aqueous activity indicated by the presence of silica‐rich rocks and sulfate‐rich soils. The textures of some of the silica‐rich rocks are similar to terrestrial hot spring deposits, and observations of subsurface cemented layers indicate recent aqueous mobilization of sulfates in places. Wind action has recently modified soils and abraded many of the rocks imaged by the MI, as observed at other Mars landing sites.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JE005774","usgsCitation":"Herkenhoff, K., Squyres, S., Arvidson, R.E., Cole, S.B., Sullivan, R., Yingst, A., Cabrol, N., Lee, E., Richie, J., Sucharski, R.M., Calef, F.J., Bell, J., Chapman, M., Geissler, P., Edgar, L.A., Franklin, B., Hurowitz, J.A., Jensen, E., Johnson, J.R., Kirk, R.L., Lanagan, P., Mullins, K., Leff, C., Maki, J., Redding, B.L., Rice, M., Sims, M.H., Spanovich, N., Soderblom, L.A., Sunda, A., Springer, R., and Vaughan, A., 2019, Overview of spirit microscopic imager results: Journal of Geophysical Research E: Planets, v. 124, no. 2, p. 528-584, https://doi.org/10.1029/2018JE005774.","productDescription":"57 p.","startPage":"528","endPage":"584","ipdsId":"IP-087430","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468048,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/633773","text":"External Repository"},{"id":367004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gusev Crater, Mars","volume":"124","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":206170,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":769327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Squyres, Steve W","contributorId":218471,"corporation":false,"usgs":false,"family":"Squyres","given":"Steve W","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":769328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":769334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Shoshanna B","contributorId":218473,"corporation":false,"usgs":false,"family":"Cole","given":"Shoshanna","email":"","middleInitial":"B","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":769335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Rob","contributorId":218474,"corporation":false,"usgs":false,"family":"Sullivan","given":"Rob","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":769336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yingst, Aileen","contributorId":172313,"corporation":false,"usgs":false,"family":"Yingst","given":"Aileen","email":"","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":769337,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cabrol, Nathalie","contributorId":218475,"corporation":false,"usgs":false,"family":"Cabrol","given":"Nathalie","affiliations":[{"id":39853,"text":"NASA Ames Research Center/SETI Institute","active":true,"usgs":false}],"preferred":false,"id":769338,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, Ella 0000-0001-6144-7197 elee@usgs.gov","orcid":"https://orcid.org/0000-0001-6144-7197","contributorId":218476,"corporation":false,"usgs":true,"family":"Lee","given":"Ella","email":"elee@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":769339,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richie, Janet 0000-0003-4151-1010","orcid":"https://orcid.org/0000-0003-4151-1010","contributorId":206347,"corporation":false,"usgs":true,"family":"Richie","given":"Janet","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":769329,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sucharski, Robert M. bsucharski@usgs.gov","contributorId":5051,"corporation":false,"usgs":true,"family":"Sucharski","given":"Robert","email":"bsucharski@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":769601,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Calef, Fred J.","contributorId":146331,"corporation":false,"usgs":false,"family":"Calef","given":"Fred","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":769341,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bell, James F. 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We built a population model using parameters (i.e. age-specific mortality, age at maturity, and size-specific fecundity) from literature and field studies to investigate the theoretical effects of harvest mortality on age structure. Because stock-recruitment relations are poorly characterized for this species, we explored the influence of both Beverton-Holt and Ricker recruitment processes. Our base model closely resembled the empirical age structures reported from three unfished lakes in Maine, with four percent of fish in the modeled spawning run being age-10 or older. We assessed the additive effects of harvest mortality on age structure using the full range of possible mortalities. As expected, increased harvest mortality in the model resulted in a decline and disappearance of older age-classes such that few fish greater than age-10 remained in the population under a realistic harvest mortality scenario. This age-truncation was qualitatively comparable to data from aggregate age distributions reported from three commercially harvested lakes in Maine. Because the loss of older fish may compromise population viability, this model is a valuable guidance tool for managers to craft regulation of this growing fishery.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02705060.2018.1496951","usgsCitation":"Zydlewski, J.D., Begley, M., and Coghlan, S., 2019, Modeling White Sucker (Catostomus commersonii) populations to assess commercial harvest influence on age structure: Journal of Freshwater Ecology, v. 33, no. 1, p. 413-428, https://doi.org/10.1080/02705060.2018.1496951.","productDescription":"16 p.","startPage":"413","endPage":"428","ipdsId":"IP-084184","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2018.1496951","text":"Publisher Index Page"},{"id":365939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"33","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":767018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Begley, Meg","contributorId":217535,"corporation":false,"usgs":false,"family":"Begley","given":"Meg","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":767191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coghlan, Stephen","contributorId":199623,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":767020,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205182,"text":"70205182 - 2019 - Bioclimatic envelopes for individual demographic events driven by extremes: Plant mortality from drought and warming","interactions":[],"lastModifiedDate":"2019-09-06T09:18:59","indexId":"70205182","displayToPublicDate":"2018-11-28T09:15:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2065,"text":"International Journal of Plant Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic envelopes for individual demographic events driven by extremes: Plant mortality from drought and warming","docAbstract":"The occurrence of plant species across the globe is largely constrained by climate. Ecologists use plant-climate relationships such as bioclimatic envelopes and related niche models to determine potential environmental conditions promoting probable species occurrence. Traditionally bioclimatic envelopes either exclude disturbance explicitly, or only include disturbance as infrequent and smaller scale processes, assuming that the net effect of climate parameters on key demographic processes predict longer-term equilibrial responses of biota. Due to increasing frequency and extent of extreme events associated with climate change, ecologists may need to increase focus on individual demographic events driven by environmental extremes such as widespread coral bleaching or large-scale tree die-off. An expanded focus on how extreme events catalyze individual demographic events would complement existing tools that predict long-term equilibrial biogeographic responses associated with long-term trends in climate. In many cases, extreme conditions (e.g. drought) are a necessary precursor for an abrupt demographic event (e.g. large-scale tree die-off) and the effects of extremes can be exacerbated by climatic trends (e.g. higher temperatures in combination with drought). Here, we highlight application of bioclimatic models for predicting individual demographic events. Defining the environmental conditions that precipitate demographic events such as widespread tree mortality is a necessary precursor for applying predictions to geographic space, and may require challenging biota with experiments that impose a combination of ecologically extreme conditions in one parameter and a shifting distribution in another (e.g. drought under higher temperatures). Currently data on conditions that drive individual demographic events associated with extremes are usually rare, aggregated across time, and/or correlative. We highlight this approach with a case study of drought-induced mortality in adult Pinus edulis trees that predicts a more than five-fold increase in frequency of die-off events under a global change scenario of high emissions. This general approach complements both traditional bioclimatic envelopes and more detailed physiological approaches currently being refined to address climate change challenges. Notably, this proposed approach could be developed for any climate condition or plant life stage, offering promise for improving predictions of individual demographic events that are rapidly altering ecosystems globally.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/700702","usgsCitation":"Law, D.J., Adams, H.D., Breshears, D.D., Cobb, N.S., Bradford, J.B., Zou, C.B., Field, J.P., Gardea, A.A., Williams, A.P., and Huxman, T.E., 2019, Bioclimatic envelopes for individual demographic events driven by extremes: Plant mortality from drought and warming: International Journal of Plant Sciences, v. 80, no. 1, p. 53-62, https://doi.org/10.1086/700702.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-066810","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":367246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Law, Darin J.","contributorId":216390,"corporation":false,"usgs":false,"family":"Law","given":"Darin","email":"","middleInitial":"J.","affiliations":[{"id":39400,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":770258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Henry D.","contributorId":218785,"corporation":false,"usgs":false,"family":"Adams","given":"Henry","email":"","middleInitial":"D.","affiliations":[{"id":39910,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87544, USA","active":true,"usgs":false}],"preferred":false,"id":770261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breshears, David D.","contributorId":51620,"corporation":false,"usgs":false,"family":"Breshears","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":770260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cobb, Neil S.","contributorId":200776,"corporation":false,"usgs":false,"family":"Cobb","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":770262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zou, Chris B.","contributorId":218786,"corporation":false,"usgs":false,"family":"Zou","given":"Chris","email":"","middleInitial":"B.","affiliations":[{"id":39911,"text":"Oklahoma State University, Stillwater, OK 74074, USA","active":true,"usgs":false}],"preferred":false,"id":770263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Field, Jason P.","contributorId":216389,"corporation":false,"usgs":false,"family":"Field","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":39400,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":770259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gardea, Alfonso A.","contributorId":218787,"corporation":false,"usgs":false,"family":"Gardea","given":"Alfonso","email":"","middleInitial":"A.","affiliations":[{"id":39912,"text":"Centro de Investigación en Alimentación y Desarrollo, A.C., Guaymas, Sonora, Mexico","active":true,"usgs":false}],"preferred":false,"id":770264,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, A. Park","contributorId":200207,"corporation":false,"usgs":false,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":770265,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huxman, Travis E.","contributorId":53898,"corporation":false,"usgs":false,"family":"Huxman","given":"Travis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":770266,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70204991,"text":"70204991 - 2019 - The extreme space weather event in September 1909","interactions":[],"lastModifiedDate":"2019-08-28T12:17:09","indexId":"70204991","displayToPublicDate":"2018-11-27T12:12:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5624,"text":"Monthly Notices of the Royal Astronomical Society","active":true,"publicationSubtype":{"id":10}},"title":"The extreme space weather event in September 1909","docAbstract":"We evaluate worldwide low-latitude auroral activity associated with the great magnetic storm of September 1909 for which a minimum Dst value of −595 nT has recently been determined. From auroral observations, we calculate that the equatorward boundary of the auroral oval in the 1909 event was in the range from 31°–35° invariant latitude (assuming auroral height of 400 km) to 37°–38° (800 km). These locations compare with satellite-based observations of precipitating auroral electrons down to 40° magnetic latitude for the March 1989 storm with its comparable minimum Dst value of −589 nT. According to Japanese auroral records, bluish colour started to appear first, followed by reddish colour. The colour change can be attributed to the transition from sunlit aurora to the usual low-latitude reddish aurora. Telegraph communications were disrupted at mid/low latitudes, coincidently with the storm main phase and the early recovery phase. The telegraphic disturbances were caused by geomagnetically induced currents associated with the storm-time ring current and substorm current wedge. From the calculated CME energy ─ based on the 24.75 hr separation between the flare-associated magnetic crochet and the geomagnetic storm sudden commencement and interplanetary conditions inferred from geomagnetic data ─ and consideration of the ∼−40 nT crochet amplitude, we estimated that the soft X-ray class of the 24 September 1909 flare was ≥X10. As is the case for other extreme storms, strong/sharp excursions in the horizontal component of the magnetic field observed at low-latitude magnetic stations were coincident with the observation of low-latitude aurora.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/mnras/sty3196","usgsCitation":"Hayakawa, H., Ebihara, Y., Cliver, E.W., Hattori, K., Toriumi, S., Love, J.J., Umemura, N., Namekata, K., Sakaue, T., Takahashi, T., and Shibata, K., 2019, The extreme space weather event in September 1909: Monthly Notices of the Royal Astronomical Society, v. 484, no. 3, p. 4083-4099, https://doi.org/10.1093/mnras/sty3196.","productDescription":"17 p.","startPage":"4083","endPage":"4099","ipdsId":"IP-104047","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":313,"text":"Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":468050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://purl.org/net/epubs/work/44708484","text":"External Repository"},{"id":367012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"484","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayakawa, Hisashi","contributorId":215231,"corporation":false,"usgs":false,"family":"Hayakawa","given":"Hisashi","email":"","affiliations":[{"id":39211,"text":"Graduate School of Letters, Osaka University; Science and Technology Facilities Council, RAL Space, Rutherford Appleton Laboratory, Harwell Campus","active":true,"usgs":false}],"preferred":false,"id":769466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebihara, Yusuke","contributorId":218518,"corporation":false,"usgs":false,"family":"Ebihara","given":"Yusuke","email":"","affiliations":[{"id":39859,"text":"Research Institute for Sustainable Humanosphere, Kyoto University, Uji; Unit of Synergetic Studies for Space, Kyoto University, Kyoto","active":true,"usgs":false}],"preferred":false,"id":769467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cliver, Edward W.","contributorId":215232,"corporation":false,"usgs":false,"family":"Cliver","given":"Edward","email":"","middleInitial":"W.","affiliations":[{"id":39212,"text":"National Solar Observatory","active":true,"usgs":false}],"preferred":false,"id":769468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hattori, Kentaro","contributorId":218519,"corporation":false,"usgs":false,"family":"Hattori","given":"Kentaro","email":"","affiliations":[{"id":39860,"text":"Graduate School of Science, Kyoto University, Kyoto","active":true,"usgs":false}],"preferred":false,"id":769469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toriumi, Shin","contributorId":218520,"corporation":false,"usgs":false,"family":"Toriumi","given":"Shin","email":"","affiliations":[{"id":39861,"text":"National Astronomical Observatory of Japan","active":true,"usgs":false}],"preferred":false,"id":769470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":769471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Umemura, Norio","contributorId":218521,"corporation":false,"usgs":false,"family":"Umemura","given":"Norio","email":"","affiliations":[{"id":39862,"text":"Institute for Space–Earth Environmental Research, Nagoya University","active":true,"usgs":false}],"preferred":false,"id":769472,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Namekata, Kosuke","contributorId":218522,"corporation":false,"usgs":false,"family":"Namekata","given":"Kosuke","email":"","affiliations":[{"id":39860,"text":"Graduate School of Science, Kyoto University, Kyoto","active":true,"usgs":false}],"preferred":false,"id":769473,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sakaue, Takahito","contributorId":218523,"corporation":false,"usgs":false,"family":"Sakaue","given":"Takahito","email":"","affiliations":[{"id":39863,"text":"Graduate School of Science, Kyoto University, Kyoto; Kwasan Observatory, Kyoto University","active":true,"usgs":false}],"preferred":false,"id":769474,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takahashi, Takuya","contributorId":218524,"corporation":false,"usgs":false,"family":"Takahashi","given":"Takuya","email":"","affiliations":[{"id":39863,"text":"Graduate School of Science, Kyoto University, Kyoto; Kwasan Observatory, Kyoto University","active":true,"usgs":false}],"preferred":false,"id":769475,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shibata, Kazunari","contributorId":218525,"corporation":false,"usgs":false,"family":"Shibata","given":"Kazunari","email":"","affiliations":[{"id":39863,"text":"Graduate School of Science, Kyoto University, Kyoto; Kwasan Observatory, Kyoto University","active":true,"usgs":false}],"preferred":false,"id":769476,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70201074,"text":"70201074 - 2019 - Extreme value-based methods for modeling elk yearly movements","interactions":[],"lastModifiedDate":"2019-02-11T15:03:17","indexId":"70201074","displayToPublicDate":"2018-11-27T10:08:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Extreme value-based methods for modeling elk yearly movements","docAbstract":"Species range shifts and the spread of diseases are both likely to be driven by extreme movements, but are difficult to statistically model due to their rarity. We propose a statistical approach for characterizing movement kernels that incorporate landscape covariates as well as the potential for heavy-tailed distributions. We used a spliced distribution for distance travelled paired with a resource selection function to model movements biased toward preferred habitats. As an example, we used data from 704 annual elk movements around the Greater Yellowstone Ecosystem from 2001 to 2015. Yearly elk movements were both heavy-tailed and biased away from high elevations during the winter months. We then used a simulation to illustrate how these habitat effects may alter the rate of disease spread using our estimated movement kernel relative to a more traditional approach that does not include landscape covariates. Supplementary materials accompanying this paper appear online.
","language":"English","publisher":"Springer","doi":"10.1007/s13253-018-00342-2","usgsCitation":"Wijeyakulasuriya, D.A., Hanks, E.M., Shaby, B.A., and Cross, P.C., 2019, Extreme value-based methods for modeling elk yearly movements: Journal of Agricultural, Biological, and Environmental Statistics, v. 24, no. 1, p. 73-91, https://doi.org/10.1007/s13253-018-00342-2.","productDescription":"19 p.","startPage":"73","endPage":"91","ipdsId":"IP-094523","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":359698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-12","publicationStatus":"PW","scienceBaseUri":"5bfe65e0e4b0815414ca60f2","contributors":{"authors":[{"text":"Wijeyakulasuriya, Dhanushi A. 0000-0001-6244-6575","orcid":"https://orcid.org/0000-0001-6244-6575","contributorId":210839,"corporation":false,"usgs":false,"family":"Wijeyakulasuriya","given":"Dhanushi","email":"","middleInitial":"A.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":752266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanks, Ephraim M. 0000-0003-0345-7164","orcid":"https://orcid.org/0000-0003-0345-7164","contributorId":210840,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":752267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaby, Benjamin A.","contributorId":210841,"corporation":false,"usgs":false,"family":"Shaby","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":752268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":752265,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}