Downstream flow in rivers is repeatedly delayed by hydrologic exchange with off‐channel storage zones where biogeochemical processing occurs. We present a dimensionless metric that quantifies river connectivity as the balance between downstream flow and the exchange of water with the bed, banks, and floodplains. The degree of connectivity directly influences downstream water quality — too little connectivity limits the amount of river water exchanged and leads to biogeochemically inactive water storage, while too much connectivity limits the contact time with sediments for reactions to proceed. Using a metric of reaction significance based on river connectivity, we provide evidence that intermediate levels of connectivity, rather than the highest or lowest levels, are the most efficient in removing nitrogen from Northeastern United States’ rivers. Intermediate connectivity balances the frequency, residence time, and contact volume with reactive sediments, which can maximize the reactive processing of dissolved contaminants and the protection of downstream water quality. Our simulations suggest denitrification dominantly occurs in riverbed hyporheic zones of streams and small rivers, whereas vertical turbulent mixing in contact with sediments dominates in mid‐size to large rivers. The metrics of connectivity and reaction significance presented here can facilitate scientifically based prioritizations of river management strategies to protect the values and functions of river corridors.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12691","usgsCitation":"Harvey, J., Gomez-Velez, J., Schmadel, N., Scott, D., Boyer, E.W., Alexander, R., Eng, K., Golden, H.E., Kettner, A., Konrad, C., Moore, R., Pizzuto, J., Schwarz, G., Soulsby, C., and Choi, J., 2019, How hydrologic connectivity regulates water quality in river corridors: Journal of the American Water Resources Association, v. 55, no. 2, p. 369-381, https://doi.org/10.1111/1752-1688.12691.","productDescription":"13 p.","startPage":"369","endPage":"381","ipdsId":"IP-098548","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468077,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12691","text":"External Repository"},{"id":367535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219085,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - 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Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771255,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70199965,"text":"70199965 - 2019 - Grounding simulation models with qualitative case studies: Toward a holistic framework to make climate science usable for US public land management","interactions":[],"lastModifiedDate":"2019-03-15T12:44:12","indexId":"70199965","displayToPublicDate":"2018-10-09T10:43:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5474,"text":"Climate Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Grounding simulation models with qualitative case studies: Toward a holistic framework to make climate science usable for US public land management","docAbstract":"Policies directing agencies and public land managers to incorporate climate change into management face several barriers. These stem, in part, from a disconnect between the information that is produced and the information needs of local resource managers. A disproportionate focus on the natural and physical sciences in climate vulnerability and adaptation assessment obscure understandings of complex social systems and the interactions and feedbacks in social-ecological systems. We use a qualitative case study of bison management on Department of the Interior-managed and tribal lands to explore how a social-science driven Determinants and Analogue Vulnerability Assessment (DAVA) can inform ecological response models, specifically simulation models that account for multiple drivers of change. First, we illustrate how a DAVA approach can help to: 1) identify key processes, entities, and interactions across scales; 2) document local impacts, indicators, and monitoring efforts of drought and climate; and 3) identify major tradeoffs and uncertainties. We then demonstrate how qualitative narratives can inform simulation models by: 1) prioritizing model components included in modeling efforts; 2) framing joint management and climate scenarios; and 3) parameterizing and evaluating model performance. We do this by presenting a conceptual joint agent-based/state-and-transition simulation modeling framework. Simulation models can represent multiple interacting variables and can identify surprising, emergent outcomes that might not be evident from qualitative analysis alone, and we argue that qualitative case studies can ground simulation models in local contexts and help make them more structurally realistic and useful. Together, these can provide a step toward developing actionable climate change adaptation strategies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.crm.2018.09.002","usgsCitation":"Beeton, T.A., McNeeley, S.M., Miller, B.W., and Ojima, D.S., 2019, Grounding simulation models with qualitative case studies: Toward a holistic framework to make climate science usable for US public land management: Climate Risk Management, v. 23, p. 50-66, https://doi.org/10.1016/j.crm.2018.09.002.","productDescription":"17 p.","startPage":"50","endPage":"66","ipdsId":"IP-079241","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":468078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crm.2018.09.002","text":"Publisher Index Page"},{"id":358205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f76e4b0fc368eb53835","contributors":{"authors":[{"text":"Beeton, Tyler A.","contributorId":208509,"corporation":false,"usgs":false,"family":"Beeton","given":"Tyler","email":"","middleInitial":"A.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":747504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNeeley, Shannon M.","contributorId":208510,"corporation":false,"usgs":false,"family":"McNeeley","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":747505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":191731,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"bwmiller@usgs.gov","middleInitial":"W.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":747503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ojima, Dennis S.","contributorId":208511,"corporation":false,"usgs":false,"family":"Ojima","given":"Dennis","email":"","middleInitial":"S.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":747506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199952,"text":"70199952 - 2019 - Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed","interactions":[],"lastModifiedDate":"2019-01-28T09:17:13","indexId":"70199952","displayToPublicDate":"2018-10-09T10:11:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed","docAbstract":"High‐grade U ore deposits are in various stages of exploitation across the Grand Canyon watershed, yet the effects of U mining on ecological and cultural resources are largely unknown. We characterized the concentrations of Al, As, Bi, Cd, Co, Cu, Fe, Pb, Hg, Mo, Ni, Se, Ag, Tl, Th, U, and Zn, gross alpha and beta activities, and U and Th radioisotopes in soil, vegetation (Hesperostipa comata, Artemisia tridentata, Tamarix chinensis), and rodents (Peromyscus maniculatus, P. boylii) to waste material at the Kanab North mine, a mine with decades‐long surficial contamination, and compared the concentrations (P < 0.01) to those at a premining site (Canyon Mine). Rodent tissues were also analyzed for radium‐226 and microscopic lesions. Radioactivities and some elemental concentrations (e.g., Co, Pb, U) were greater in the Kanab North mine biological samples than in Canyon Mine biota, indicating a mining‐related elemental signature. Mean rodent Ra‐226 (111 Bq/kg dry weight [dry wt]) was 3 times greater than expected, indicating radioactive disequilibrium. Multiple soil sample U concentrations exceeded a screening benchmark, growth inhibition thresholds for sensitive plants, and an EC20 for a soil arthropod. Lesions associated with metals exposure were also observed more frequently in rodents at Kanab North than those at Canyon Mine but could not be definitively attributed to U mining. Our results indicate that Kanab North biota have taken up U mining‐related elements owing to chronic exposure to surficial contamination. However, no literature‐based effects thresholds for small rodents were exceeded, and only a few soil and vegetation thresholds for sensitive species were exceeded; therefore, adverse effects to biota from U mining‐related elements at Kanab North are unlikely despite chronic exposure.
","language":"English","publisher":"SETAC","doi":"10.1002/ieam.4095","usgsCitation":"Cleveland, D.M., Hinck, J.E., and Lankton, J.S., 2019, Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed: Integrated Environmental Assessment and Management, v. 15, no. 1, p. 112-125, https://doi.org/10.1002/ieam.4095.","productDescription":"14 p.","startPage":"112","endPage":"125","ipdsId":"IP-095624","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":460565,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4095","text":"Publisher Index Page"},{"id":437626,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X0660R","text":"USGS data release","linkHelpText":"Chemical analyses and histopathology of small rodents, vegetation, and soil collected from the Kanab North breccia pipe uranium mine in the Grand Canyon watershed"},{"id":437625,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99GDFWB","text":"USGS data release","linkHelpText":"Results from radiochemical analyses of small rodent whole bodies collected from breccia pipe uranium mines and reference locations in the Grand Canyon watershed."},{"id":358195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-23","publicationStatus":"PW","scienceBaseUri":"5bc02f77e4b0fc368eb5383d","contributors":{"authors":[{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":747462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203982,"text":"70203982 - 2019 - Holocene surface rupture history of an active forearc fault redefines seismic hazard in Southwestern British Columbia, Canada","interactions":[],"lastModifiedDate":"2019-06-26T09:47:16","indexId":"70203982","displayToPublicDate":"2018-10-08T09:33:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Holocene surface rupture history of an active forearc fault redefines seismic hazard in Southwestern British Columbia, Canada","docAbstract":"Characterizing the hazard associated with Quaternary‐active faults in the forearc crust of the northern Cascadia subduction zone has proven challenging due to historically low rates of seismicity, late Quaternary glacial scouring, and dense vegetation that often obscures fault‐related geomorphic features. We couple lidar topography with paleoseismic trenching across the Leech River Fault on southern Vancouver Island to produce the first detailed surface rupture history of an onland forearc fault in British Columbia, Canada. The results indicate that this fault produced three surface‐rupturing earthquakes in the last ∼9 kyr and is therefore capable of producing large (Mw>6) earthquakes in the future. We provide new constraints on the fault's length (∼130 km) and Holocene slip rate (≥0.2–0.3 mm/year) that, together with the earthquake ages, should be incorporated into new seismic hazard assessments and building code practices relevant to urban centers in southwestern British Columbia (Canada) and northwestern Washington State (United States).","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL078711","usgsCitation":"Morell, K.D., Regalla, C., Amos, C., Bennett, S., Leonard, L., Graham, A., Reedy, T., Levson, V., and Telka, A., 2019, Holocene surface rupture history of an active forearc fault redefines seismic hazard in Southwestern British Columbia, Canada: Geophysical Research Letters, v. 45, no. 21, p. 11605-11611, https://doi.org/10.1029/2018GL078711.","productDescription":"7 p.","startPage":"11605","endPage":"11611","ipdsId":"IP-096512","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468079,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl078711","text":"Publisher Index Page"},{"id":365056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Leech River Fault, Vancouver Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.82690429687499,\n 48.33114778409108\n ],\n [\n -123.27896118164061,\n 48.33114778409108\n ],\n [\n -123.27896118164061,\n 48.4965876108066\n ],\n [\n -123.82690429687499,\n 48.4965876108066\n ],\n [\n -123.82690429687499,\n 48.33114778409108\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Morell, K. D.","contributorId":216581,"corporation":false,"usgs":false,"family":"Morell","given":"K.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":765096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regalla, C.","contributorId":216582,"corporation":false,"usgs":false,"family":"Regalla","given":"C.","affiliations":[],"preferred":false,"id":765097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amos, C.","contributorId":216583,"corporation":false,"usgs":false,"family":"Amos","given":"C.","email":"","affiliations":[],"preferred":false,"id":765098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, S. 0000-0002-9772-4122","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":29230,"corporation":false,"usgs":true,"family":"Bennett","given":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":765099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leonard, L.","contributorId":48013,"corporation":false,"usgs":true,"family":"Leonard","given":"L.","email":"","affiliations":[],"preferred":false,"id":765100,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, A.","contributorId":24517,"corporation":false,"usgs":true,"family":"Graham","given":"A.","email":"","affiliations":[],"preferred":false,"id":765101,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reedy, T.","contributorId":216584,"corporation":false,"usgs":false,"family":"Reedy","given":"T.","email":"","affiliations":[],"preferred":false,"id":765102,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Levson, V.","contributorId":216585,"corporation":false,"usgs":false,"family":"Levson","given":"V.","affiliations":[],"preferred":false,"id":765103,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Telka, A.","contributorId":53668,"corporation":false,"usgs":true,"family":"Telka","given":"A.","email":"","affiliations":[],"preferred":false,"id":765104,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70222369,"text":"70222369 - 2019 - Point sources and agricultural practices control spatial-temporal patterns of orthophosphate in tributaries to Chesapeake Bay","interactions":[],"lastModifiedDate":"2021-07-23T21:01:11.543757","indexId":"70222369","displayToPublicDate":"2018-10-06T15:53:24","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":"Point sources and agricultural practices control spatial-temporal patterns of orthophosphate in tributaries to Chesapeake Bay","docAbstract":"Orthophosphate (PO4) is the most bioavailable form of phosphorus (P). Excess PO4 may cause harmful algal blooms in aquatic ecosystems. A major restoration effort is underway for Chesapeake Bay (CB) to reduce P, nitrogen, and sediment loading to CB. Although PO4 cycling and delivery to streams has been characterized in small-scale studies, regional drivers of PO4 patterns remain poorly understood because most water quality trend assessment focus on total P. Moreover, these trend assessments are usually at an annual timestep. To address this research gap, we analyzed PO4 patterns over a 9-year period at 53 monitoring stations across the CB watershed to: 1) characterize the role of PO4 in total P fluxes and trends; 2) describe spatial and temporal patterns of PO4 concentrations across seasons and streamflow; and 3) explore factors explaining these patterns. Agricultural watersheds exported the most total P compared with watersheds under different land uses (e.g., urban or forest), with PO4 comprising up to 50% of those exports. Although PO4 exports are declining at many sites, some agricultural regions are experiencing increasing trends at a rate sufficient to drive total P trends. Regression modeling results suggest that point source load reductions are likely responsible for decreasing PO4 concentrations observed at many sites. Watersheds with more Conservation Reserve Program enrollment had lower summer PO4 concentrations, highlighting the effectiveness of this practice. Manure inputs strongly predicted PO4 concentrations at high flows across all seasons. Both manure applications and conservation tillage were correlated with changes in PO4 concentrations at high flow, suggesting these activities could contribute to increasing PO4 concentrations. This study highlights the effectiveness of point source control for reducing PO4 exports and underscores the need for management strategies to target sources, practices, and landscape factors determining PO4 loss from soils where manure inputs remain high.
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evaluate small‐scale habitat use by fishes, as it relates to large‐scale habitat rehabilitation efforts. Samples were collected from a 12‐km braided segment of river that had received localized habitat rehabilitation treatments since 2011. Fish and microhabitat data were collected to investigate habitat drivers related to the occurrence and relative abundance of fishes. Each sampling location was selected at random and characterized as “treated” (i.e., rehabilitated) or “untreated” based on proximity to habitat treatments. Fishes sampled from backwaters composed 71% of the overall catch and 84% of the catch from locally untreated areas of the river. Species‐specific regression models suggested that water depth and current velocity influenced the occurrence and abundance of fishes. In particular, shallow habitats with low current velocities were important for small‐bodied native fishes and likely serve as important rearing areas for juvenile fish. These habitat conditions typically characterize backwater and channel‐margin habitats that are vulnerable to anthropogenic perturbation. Prioritizing process‐based rehabilitation of these areas in large, regulated rivers would allow natural channel‐forming processes for the benefit of native fishes.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3366","usgsCitation":"Branigan, P.R., Quist, M.C., Bradley B. 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Complex approaches may be time- and data-intensive, making them more challenging to implement and difficult to scale, but can produce more accurate and locally specific results. In contrast, simple approaches allow for faster assessments but may sacrifice accuracy and credibility. The ARtificial Intelligence for Ecosystem Services (ARIES) modeling platform has endeavored to provide a spectrum of simple to complex ES models that are readily accessible to a broad range of users. In this paper, we describe a series of five “Tier 1” ES models that users can run anywhere in the world with no user input, while offering the option to easily customize models with context-specific data and parameters. This approach enables rapid ES quantification, as models are automatically adapted to the application context. We provide examples of customized ES assessments at three locations on different continents and demonstrate the use of ARIES' spatial multi-criteria analysis module, which enables spatial prioritization of ES for different beneficiary groups. The models described here use publicly available global- and continental-scale data as defaults. Advanced users can modify data input requirements, model parameters or entire model structures to capitalize on high-resolution data and context-specific model formulations. Data and methods contributed by the research community become part of a growing knowledge base, enabling faster and better ES assessment for users worldwide. By engaging with the ES modeling community to further develop and customize these models based on user needs, spatiotemporal contexts, and scale(s) of analysis, we aim to cover the full arc from simple to complex assessments, minimizing the additional cost to the user when increased complexity and accuracy are needed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.371","usgsCitation":"Martinez-Lopez, J., Bagstad, K.J., Balbi, S., Magrach, A., Voigt, B., Athanasiadis, I., Pascual, M., Willcock, S., and Villa, F., 2019, Towards globally customizable ecosystem service models: Science of the Total Environment, v. 650, no. 2, p. 2325-2336, https://doi.org/10.1016/j.scitotenv.2018.09.371.","productDescription":"12 p.","startPage":"2325","endPage":"2336","ipdsId":"IP-098617","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468081,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.371","text":"Publisher Index Page"},{"id":358142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"650","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f6be4b0fc368eb53809","contributors":{"authors":[{"text":"Martinez-Lopez, Javier 0000-0003-4857-3396","orcid":"https://orcid.org/0000-0003-4857-3396","contributorId":208480,"corporation":false,"usgs":false,"family":"Martinez-Lopez","given":"Javier","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":747384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balbi, Stefano 0000-0001-8190-5968","orcid":"https://orcid.org/0000-0001-8190-5968","contributorId":208481,"corporation":false,"usgs":false,"family":"Balbi","given":"Stefano","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magrach, Ainhoa 0000-0003-2155-7556","orcid":"https://orcid.org/0000-0003-2155-7556","contributorId":208482,"corporation":false,"usgs":false,"family":"Magrach","given":"Ainhoa","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voigt, Brian","contributorId":208483,"corporation":false,"usgs":false,"family":"Voigt","given":"Brian","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":747388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Athanasiadis, Ioannis 0000-0003-2764-0078","orcid":"https://orcid.org/0000-0003-2764-0078","contributorId":208484,"corporation":false,"usgs":false,"family":"Athanasiadis","given":"Ioannis","email":"","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":747389,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pascual, Marta 0000-0002-2204-7745","orcid":"https://orcid.org/0000-0002-2204-7745","contributorId":208485,"corporation":false,"usgs":false,"family":"Pascual","given":"Marta","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willcock, Simon 0000-0001-9534-9114","orcid":"https://orcid.org/0000-0001-9534-9114","contributorId":201576,"corporation":false,"usgs":false,"family":"Willcock","given":"Simon","email":"","affiliations":[{"id":36207,"text":"Bangor University","active":true,"usgs":false}],"preferred":false,"id":747391,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747392,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70227761,"text":"70227761 - 2019 - Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence","interactions":[],"lastModifiedDate":"2022-01-28T13:22:22.29389","indexId":"70227761","displayToPublicDate":"2018-10-04T07:18:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence","docAbstract":"Crayfish are globally diverse and one of the most important taxa in North American streams. Despite their importance, many species are of conservation concern and efforts to improve conditions are limited. Here, we address two major impediments to improving conditions: (a) our lack of knowledge of the interplay among natural landscape and human-induced changes; and (b) a very limited understanding of how species interactions affect overall crayfish distributions.
Ozark Highlands ecoregion, USA.
We used both existing data and field-collected data to examine the relationships between 12 Faxonius species and physicochemical variables at multiple spatial scales. Data were analysed using a generalized linear mixed model. After fitting our environmental variables, we also considered possible relationships between species considered strong competitors and species occurrence.
Our results indicated that elevation, lithology, an interaction between drainage area and anthropogenic disturbance, and the presence of strong competitors were associated with Faxonius occurrences. Faxonius occurrences were associated with assemblage-structuring variables: lithology and elevation. More interestingly, we found several patterns of interactions between drainage area and disturbance. The most common pattern among several species was a decline in occurrence in larger drainages when disturbance was high; however, longpincered crayfish (Faxonius longidigitus) was more likely to occupy large drainages as disturbance increased. Additionally, the presence of species considered strong competitors resulted in lower occurrence probability for many species, including two of the species classified as competitors.
In addition to identifying the relationships between native species and assemblage-structuring variables, we show how the probability of species occurrences relate to interactions between disturbance and natural landscape features. Further, our results suggest competitor presence also plays a role in structuring distributions at the stream segment scale. Our findings emphasize the value of considering both competitor presence and interactions among landscape variables and disturbances in structuring crayfish assemblages.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12840","usgsCitation":"Mouser, J., Mollenhauer, R., and Brewer, S.K., 2019, Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence: Diversity and Distributions, v. 25, no. 1, p. 61-73, https://doi.org/10.1111/ddi.12840.","productDescription":"13 p.","startPage":"61","endPage":"73","ipdsId":"IP-091645","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12840","text":"Publisher Index Page"},{"id":395040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Ozark Highlands ecoregion","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.603271484375,\n 34.134541681937364\n ],\n [\n -89.23095703125,\n 34.134541681937364\n ],\n [\n -89.23095703125,\n 38.35888785866677\n ],\n [\n -94.603271484375,\n 38.35888785866677\n ],\n [\n -94.603271484375,\n 34.134541681937364\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, J.B.","contributorId":244447,"corporation":false,"usgs":false,"family":"Mouser","given":"J.B.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mollenhauer, Robert","contributorId":242899,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216768,"text":"70216768 - 2019 - Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US","interactions":[],"lastModifiedDate":"2020-12-04T21:52:28.857406","indexId":"70216768","displayToPublicDate":"2018-10-02T15:48:20","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":"Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US","docAbstract":"Nitrapyrin is a nitrification inhibitor that is co-applied with nitrogen fertilizer in agroecosystems. There is limited information on the fate of nitrapyrin after it is applied to agricultural soils. Over the course of one year (March 2016 to June 2017), 192 water samples from seven streams across Iowa and Illinois were analyzed for nitrapyrin, its metabolite 6‑chloropicolinic acid (6‑CPA), and three widely used herbicides acetochlor, atrazine, and metolachlor. Additional environmental samples were collected and analyzed in spring 2017: 63 water samples from eight subsurface drains in Illinois, and 33 soil samples from a field in Iowa that received direct application of nitrapyrin. Nitrapyrin was detected in all seven streams (56% detection) with concentrations ranging from less than LOD to 1200 ng/L; 6‑CPA was detected in six of the seven streams (13% detection) with concentrations ranging from less than LOD to 13 ng/L. Nitrapyrin was detected in 10% of the subsurface drain samples with concentrations ranging from less than LOD to 12 ng/L; 6‑CPA was detected in six of the eight subsurface drains and in 33% of drain samples with concentrations ranging from less than LOD to 6 ng/L. Nitrapyrin was detected in 67% of the soil samples collected, and concentrations ranged from less than LOD to 42 ng/g. Generally, all three herbicides were detected more frequently and at higher concentrations than nitrapyrin in the streams, subsurface drains, and soils. The environmental fate of nitrapyrin after application is dominated by sorption to soil and off-field transport via leaching and overland flow.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.387","usgsCitation":"Woodward, E., Kolpin, D., Zheng, W., Holm, N.L., Meppelink, S.M., Terrio, P.J., and Hladik, M.L., 2019, Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US: Science of the Total Environment, v. 650, no. 23-24, p. 2830-2841, https://doi.org/10.1016/j.scitotenv.2018.09.387.","productDescription":"12 p.","startPage":"2830","endPage":"2841","ipdsId":"IP-099070","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468083,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.387","text":"Publisher Index Page"},{"id":437627,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91OESMG","text":"USGS data release","linkHelpText":"Nitrapyrin, 6-CPA, and herbicide concentrations in agricultural soils, subsurface drains, and corresponding streams in the Midwestern US"},{"id":381003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.17578124999999,\n 41.672911819602085\n ],\n [\n -92.197265625,\n 43.03677585761058\n ],\n [\n -94.1748046875,\n 43.26120612479979\n ],\n [\n -94.306640625,\n 42.4234565179383\n ],\n [\n -93.33984375,\n 41.60722821271717\n ],\n [\n -91.58203125,\n 40.97989806962013\n ],\n [\n -90.791015625,\n 40.88029480552824\n ],\n [\n -90.17578124999999,\n 41.672911819602085\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.505859375,\n 39.30029918615029\n ],\n [\n -87.5830078125,\n 39.30029918615029\n ],\n [\n -87.5830078125,\n 40.58058466412761\n ],\n [\n -88.505859375,\n 40.58058466412761\n ],\n [\n -88.505859375,\n 39.30029918615029\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"650","issue":"23-24","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zheng, Wei","contributorId":207063,"corporation":false,"usgs":false,"family":"Zheng","given":"Wei","email":"","affiliations":[{"id":37449,"text":"Jilin Academy of Fishery Science, Jilin, People's Republic of China, 130033","active":true,"usgs":false}],"preferred":false,"id":806142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm, Nancy L","contributorId":245406,"corporation":false,"usgs":false,"family":"Holm","given":"Nancy","email":"","middleInitial":"L","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":806143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":205653,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806144,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806146,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199420,"text":"70199420 - 2019 - Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR","interactions":[],"lastModifiedDate":"2019-09-12T06:41:41","indexId":"70199420","displayToPublicDate":"2018-10-02T13:24:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR","title":"Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR","docAbstract":"We describe a die-off of little brown bats (Myotis lucifugus carissima) associated with acute intoxication with microcystin-LR in 2016 at Scofield Reservoir in Utah. High levels of this cyanotoxin in water from the reservoir and gastrointestinal content of bats supported this diagnosis.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-02-047","usgsCitation":"Isidoro Ayza, M., Jones, L.C., Dusek, R.J., Lorch, J.M., Landsberg, J.H., Wilson, P., and Graham, S., 2019, Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR: Journal of Wildlife Diseases, v. 55, no. 1, p. 266-270, https://doi.org/10.7589/2018-02-047.","productDescription":"5 p.","startPage":"266","endPage":"270","ipdsId":"IP-096936","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":357394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Scofield Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.20292663574217,\n 39.74019436504727\n ],\n [\n -111.09683990478516,\n 39.74019436504727\n ],\n [\n -111.09683990478516,\n 39.82119422647453\n ],\n [\n -111.20292663574217,\n 39.82119422647453\n ],\n [\n -111.20292663574217,\n 39.74019436504727\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f9ee4b0fc368eb5390b","contributors":{"authors":[{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":745204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Lee C.","contributorId":149998,"corporation":false,"usgs":false,"family":"Jones","given":"Lee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":745205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":745206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":745207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landsberg, Jan H.","contributorId":207918,"corporation":false,"usgs":false,"family":"Landsberg","given":"Jan","email":"","middleInitial":"H.","affiliations":[{"id":37664,"text":"Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St. Petersburg, FL, USA","active":true,"usgs":false}],"preferred":false,"id":745208,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Patrick","contributorId":207919,"corporation":false,"usgs":false,"family":"Wilson","given":"Patrick","email":"","affiliations":[{"id":37664,"text":"Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St. Petersburg, FL, USA","active":true,"usgs":false}],"preferred":false,"id":745209,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graham, Stephanie","contributorId":207920,"corporation":false,"usgs":false,"family":"Graham","given":"Stephanie","email":"","affiliations":[{"id":37665,"text":"Field Office, U.S. Fish and Wildlife Service, West Valley City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":745210,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204107,"text":"70204107 - 2019 - Population vulnerability to tsunami hazards informed by previous and projected disasters: A case study of American Samoa","interactions":[],"lastModifiedDate":"2019-07-05T16:35:02","indexId":"70204107","displayToPublicDate":"2018-10-01T16:32:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Population vulnerability to tsunami hazards informed by previous and projected disasters: A case study of American Samoa","docAbstract":"Population vulnerability from tsunamis is a function of the number and location of individuals in hazard zones and their ability to reach safety before wave arrival. Previous tsunami disasters can provide insight on likely evacuation behavior, but post-disaster assessments have not been used extensively in evacuation modeling. We demonstrate the utility of post-disaster assessments in pedestrian evacuation modeling for tsunami hazards and use the US territory of American Samoa as our case study. We model pedestrian travel times out of tsunami inundation zones recreated for the 2009 Mw 8.1 Samoa earthquake, as well as for a probable maximum tsunami zone for future threats. Modeling assumptions are guided by fatality trends and observations of 2009 evacuation behavior, including insights on departure delays, environmental cues, transportation mode, and demographic characteristics. Differences in actual fatalities from the 2009 disaster and modeled population vulnerability suggest that a single set of estimated travel times to safety does not fully characterize evacuation potential of a dispersed, at-risk population. Efforts to prepare coastal communities in American Samoa for future tsunamis may be challenging given substantial differences in wave characteristics and evacuation potential of the probable maximum hazard compared to the 2009 event.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-018-3493-7","usgsCitation":"Wood, N.J., Jones, J.M., Yamazaki, Y., Cheung, K., Brown, J., Jones, J., and Abdollahian, N., 2019, Population vulnerability to tsunami hazards informed by previous and projected disasters: A case study of American Samoa: Natural Hazards, v. 95, no. 3, p. 505-528, https://doi.org/10.1007/s11069-018-3493-7.","productDescription":"24 p.","startPage":"505","endPage":"528","ipdsId":"IP-094726","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":460567,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-018-3493-7","text":"Publisher Index Page"},{"id":437629,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9USLV20","text":"USGS data release","linkHelpText":"Pedestrian tsunami evacuation results for two tsunami-inundation zones (2009 and probable maximum tsunami (PMT)) and four travel speeds (slow walk, fast walk, slow run, and fast run) for American Samoa"},{"id":365315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"American Samoa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -170.5675506591797,\n -14.246414530379399\n ],\n [\n -170.5792236328125,\n -14.2477455837054\n ],\n [\n -170.58815002441406,\n -14.255731738748931\n ],\n [\n -170.60256958007812,\n -14.253069718484149\n ],\n [\n -170.61355590820312,\n -14.253069718484149\n ],\n [\n -170.62660217285156,\n -14.249742148971979\n ],\n [\n -170.6396484375,\n -14.246414530379399\n ],\n [\n -170.67054748535156,\n -14.239093596764377\n ],\n [\n -170.70075988769528,\n -14.248411107424003\n ],\n [\n -170.71998596191406,\n -14.26571403483186\n 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-14.285011886524028\n ],\n [\n -170.55999755859372,\n -14.243752400174483\n ],\n [\n -170.5675506591797,\n -14.246414530379399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yamazaki, Yoshiki","contributorId":216792,"corporation":false,"usgs":false,"family":"Yamazaki","given":"Yoshiki","email":"","affiliations":[{"id":39517,"text":"University of Hawaii at Mano","active":true,"usgs":false}],"preferred":false,"id":765546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Kwok-Fai","contributorId":216793,"corporation":false,"usgs":false,"family":"Cheung","given":"Kwok-Fai","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":765547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jacinta","contributorId":216794,"corporation":false,"usgs":false,"family":"Brown","given":"Jacinta","email":"","affiliations":[{"id":39518,"text":"American Samoa Department of Homeland Security","active":true,"usgs":false}],"preferred":false,"id":765548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Jamie 0000-0002-9967-3314 jamiejones@usgs.gov","orcid":"https://orcid.org/0000-0002-9967-3314","contributorId":204514,"corporation":false,"usgs":true,"family":"Jones","given":"Jamie","email":"jamiejones@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abdollahian, Nina 0000-0002-8607-2202","orcid":"https://orcid.org/0000-0002-8607-2202","contributorId":216795,"corporation":false,"usgs":false,"family":"Abdollahian","given":"Nina","affiliations":[{"id":38050,"text":"Contractor","active":true,"usgs":false}],"preferred":false,"id":765550,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205192,"text":"70205192 - 2019 - In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon","interactions":[],"lastModifiedDate":"2019-09-06T08:29:13","indexId":"70205192","displayToPublicDate":"2018-10-01T15:33:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"In vivo effects of 17α-ethinylestradiol, 17β-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon","title":"In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon","docAbstract":"Feminizing endocrine disrupting compounds (EDCs) affect the growth and development of teleost fishes. The major regulator of growth performance, the growth hormone (Gh)/insulin-like growth-factor (Igf) system, is sensitive to estrogenic compounds and mediates certain physiological and potentially behavioral consequences of EDC exposure. Igf binding proteins (Igfbps) are key modulators of Igf activity, but their alteration by EDCs has not been examined. We investigated two life-stages (fry and smolts) of Atlantic salmon (Salmo salar), and characterized how the Gh/Igf/Igfbp system responded to waterborne 17α-ethinylestradiol (EE2), 17β-estradiol (E2) and 4-nonylphenol (NP). Fry exposed to EE2 and NP for 21 days had increased hepatic vitellogenin (vtg) mRNA levels while hepatic estrogen receptor α (erα), gh receptor (ghr), igf1 and igf2 mRNA levels were decreased. NP-exposed fry had reduced body mass and total length compared to controls. EE2 and NP reduced hepatic igfbp1b1, -2a, -2b1, -4, -5b2 and -6b1, and stimulated igfbp5a. In smolts, hepatic vtg mRNA levels were induced following 4-day exposures to all three EDCs, while erα only responded to EE2 and E2. EDC exposures did not affect body mass or fork length; however, EE2 diminished plasma Gh and Igf1 levels in parallel with reductions in hepatic ghr and igf1. In smolts, EE2 and E2 diminished hepatic igfbp1b1, -4 and -6b1, and stimulated igfbp5a. There were no signs of compromised ionoregulation in smolts, as indicated by unchanged branchial ion pump/transporter mRNA levels. We conclude that hepatic igfbps respond (directly and/or indirectly) to environmental estrogens during two key life-stages of Atlantic salmon, and thus may modulate the growth and development of exposed individuals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2018.07.018","usgsCitation":"Breves, J.P., Duffy, T.A., Einarsdottir, I.E., Bjornsson, B.T., and McCormick, S.D., 2019, In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon: Aquatic Toxicology, v. 203, p. 28-39, https://doi.org/10.1016/j.aquatox.2018.07.018.","productDescription":"12 p.","startPage":"28","endPage":"39","ipdsId":"IP-094300","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2018.07.018","text":"Publisher Index Page"},{"id":367233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":770300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, Tara A.","contributorId":139213,"corporation":false,"usgs":false,"family":"Duffy","given":"Tara","email":"","middleInitial":"A.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":770301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Einarsdottir, Ingibjorg E.","contributorId":173274,"corporation":false,"usgs":false,"family":"Einarsdottir","given":"Ingibjorg","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":770302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjornsson, Bjorn Thrandur","contributorId":173275,"corporation":false,"usgs":false,"family":"Bjornsson","given":"Bjorn","email":"","middleInitial":"Thrandur","affiliations":[],"preferred":false,"id":770303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770299,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204439,"text":"70204439 - 2019 - Estimating forest canopy cover dynamics in Valles Caldera National Preserve, New Mexico, using LiDAR and Landsat data","interactions":[],"lastModifiedDate":"2019-07-23T14:41:00","indexId":"70204439","displayToPublicDate":"2018-10-01T14:38:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Estimating forest canopy cover dynamics in Valles Caldera National Preserve, New Mexico, using LiDAR and Landsat data","docAbstract":"Increasing tree canopy cover has led to increasing wildfire activity in conifer dominated areas of the southwestern United States. Estimating historical changes in the spatial distribution of tree canopy cover can provide further insights into the dynamics of forest and fuel conditions in these landscapes and help prioritize areas for restoration to mitigate wildfire risks and restore biological functioning. In this study, we explored the relationship between LiDAR derived canopy cover data and Landsat reflectance values, and derived a model to estimate percent canopy cover (PCC) on historical Landsat data from 1987 to 2015 for the Valles Caldera National Preserve (VCNP), located in the southwest Jemez Mountains of New Mexico. We developed a regression model between LiDAR generated canopy cover collected in June 2010 and Landsat Thematic Mapper (TM) reflectance values (bands 1–7 except band 6) and vegetation indices collected for the same date. About 5% (17,000) of the total LiDAR points (329,102) were used as training points and a separate, non-overlapping set of 17,000 points as test points to validate the regression model. A simple linear model with the red band (band 3; R2 = 0.70) was selected as the best model to predict PCC in the rest of the images for 1987–2015. In general, we found a strong consistency between the spatial dynamics of modelled tree canopy cover based on historical Landsat data, wildfire events and forest management practicesthat occurred during the same period. Results showed that about 11% of the study area experienced an increase in PCC for the period of 1987–2015 while 41% of the study area experienced a reduction in PCC during the same time period, mostly in the areas which were affected by stand replacing wildfires in 2011 and 2013. The results indicate an overall increase in medium and high canopy cover classes in specific regions of the study area, which could lead to hazardous wildfires such as those in 2011 and 2013. In the context of ongoing ecological restoration of these montane forests, predicted PCC of contemporary forests could help local managers to identify the areas in the need of immediate restoration efforts by focusing management practices on the areas with closed canopy.
Lesser prairie-chicken (Tympanuchus pallidicinctus) populations have declined since the 1980s. Understanding factors influencing nest-site selection and nest survival are important for conservation and management of lesser prairie-chicken populations. However, >75% of the extant population is in the northern extent of the range where data on breeding season ecology are lacking. We tested factors influencing fine-scale and regional nest-site selection and nest survival across the northern portion of the lesser prairie-chicken range. We trapped and affixed satellite global positioning system and very high frequency transmitters to female lesser prairie-chickens (n = 307) in south-central and western Kansas and eastern Colorado, USA. We located and monitored 257 lesser prairie-chicken nests from 2013 to 2016. We evaluated nest-site selection and nest survival in comparison to vegetation composition and structure. Overall, nest-site selection in relation to vegetation characteristics was similar across our study area. Lesser prairie-chickens selected nest microsites with 75% visual obstruction 2.0–3.5 dm tall and 95.7% of all nests were in habitat with ≥1 dm and ≤4 dm visual obstruction. Nests were located in areas with 6–8% bare ground, on average, avoiding areas with greater percent cover of bare ground. The type of vegetation present was less important than cover of adequate height. Nest survival was maximized when 75% visual obstruction was 2.0–4.0 dm. Nest survival did not vary spatially or among years and generally increased as intensity of drought decreased throughout the study although not significantly. To provide nesting cover considering yearly variation in drought conditions, it is important to maintain residual cover by managing for structural heterogeneity of vegetation. Managing for structural heterogeneity could be accomplished by maintaining or strategically applying practices of the Conservation Reserve Program, using appropriate fire and grazing disturbances in native working grasslands, and establishing site-specific monitoring of vegetation composition and structure.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21582","usgsCitation":"Lautenbach, J.M., Haukos, D.A., Sullins, D.S., Hagen, C.A., Lautenbach, J.D., Pitman, J.C., Plumb, R.T., Robinson, S.G., and Kraft, J.D., 2019, Factors influencing nesting ecology of lesser prairie-chickens: Journal of Wildlife Management, v. 83, no. 1, p. 205-215, https://doi.org/10.1002/jwmg.21582.","productDescription":"11 p.","startPage":"205","endPage":"215","ipdsId":"IP-098227","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10919/99173","text":"Publisher Index Page"},{"id":395681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.2822265625,\n 37.020098201368114\n ],\n [\n -98.525390625,\n 37.020098201368114\n ],\n [\n -98.525390625,\n 39.639537564366684\n ],\n [\n -104.2822265625,\n 39.639537564366684\n ],\n [\n -104.2822265625,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":834055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":834057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":834058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lautenbach, Jonathan D.","contributorId":172790,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":834059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":834060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":834061,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":834062,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kraft, John D.","contributorId":172789,"corporation":false,"usgs":false,"family":"Kraft","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":834063,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70204560,"text":"70204560 - 2019 - Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017","interactions":[],"lastModifiedDate":"2019-08-06T09:38:27","indexId":"70204560","displayToPublicDate":"2018-10-01T08:03:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017","docAbstract":"We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag interrogation systems (PTISs) to investigate life-histories, populations, and efficacy of habitat restoration actions for wild Steelhead Oncorhynchus mykiss in the Wind River subbasin, WA. No hatchery Steelhead have been planted in the Wind River subbasin since 1997, and hatchery adults are estimated to be less than one percent of adults in most years (pers comm. Thomas Buehrens, Washington Department of Fish and Wildlife). Numerous restoration actions have been implemented in the subbasin, including Hemlock Dam removal on Trout Creek in 2009. Data from our study, and companion work by Washington Department of Fish and Wildlife (WDFW), are contributing to Bonneville Power Administration’s (BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1), specifically the substrategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and to Uncertainties Research regarding differing life histories of a wild Steelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives. Our headwaters parr PIT tagging, WDFW parr, smolt, and adult tagging and our instream PTISs are providing data movements and life histories of parr, smolt, and adult Steelhead. During summer 2017, we PIT-tagged age-0 and age-1 Steelhead parr in headwater areas of the Wind River subbasin to characterize population traits and investigate life-history diversity, including growth and pre-smolt downstream movement. Repeat sampling and smolt traps provide opportunities for recapture, and instream PTISs and Columbia River infrastructure provide opportunity for detection of PIT-tagged fish. Throughout the year, we maintained a series of instream PTISs to monitor movement of tagged Steelhead parr, smolts, and adults. This included adding the second array to our upper Wind River PITS, increasing solar capacity and adding improved power cables to some sites. Detections at the instream PTISs have demonstrated trends of age-0 and age-1 parr emigration from natal areas during summer and fall, in addition to the expected movement of parr and smolts in spring. These data are increasing our understanding of varied life histories of juvenile Steelhead; paired with other Steelhead population work in the subbasin we hope to begin to understand factors which may influence parr movements. Long-term monitoring of PIT-tagged fish over multiple years is providing information on contribution of various life-history strategies to smolt production and adult returns. Movements of PIT-tagged adult Steelhead were also recorded at instream PTISs. These data have allowed us to assess adult returns to tributary watersheds within the Wind River subbasin. Determination of adult use of tributary watersheds is providing data to contribute to evaluation of the efficacy of the removal of Hemlock Dam on Trout Creek. Hemlock Dam, located at rkm 2.0 of Trout Creek was removed in summer 2009. The dam had had contributed to hydrologic impairment of Trout Creek and had potential negative effects on Steelhead. The improved upper Wind River PTIS (better site characteristics and grid power) will allow estimates of subbasin adult escapement upstream of that site. Evaluating and planning restoration efforts are of interest to many managers and agencies to ensure efficient use of resources. The evaluation of various life-histories of Lower Columbia River Steelhead within the Wind River subbasin will provide information to better track populations, and to direct habitat restoration and water allocation planning. Increasingly detailed Viable Salmonid Population information, such as that provided by PIT-tagging and instream PTISs networks like those we operate in the Wind River subbasin, will provide data to inform policy and management, as life-history strategies and production bottlenecks are identified and understood.
","language":"English","publisher":"Bonneville Power Administration","collaboration":"Bonneville Power Administration","usgsCitation":"Jezorek, I., 2019, Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017, 53 p.","productDescription":"53 p.","startPage":"1","endPage":"53","ipdsId":"IP-101368","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366091,"type":{"id":11,"text":"Document"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P164011/80611-1.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767569,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199743,"text":"70199743 - 2019 - Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA","interactions":[],"lastModifiedDate":"2019-03-26T16:18:40","indexId":"70199743","displayToPublicDate":"2018-09-26T15:15:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA","docAbstract":"A method is presented for deriving a volume model of groundwater total dissolved solids (TDS) from borehole geophysical and aqueous geochemical measurements. While previous TDS mapping techniques have proved useful in the hydrogeologic setting in which they were developed, they may yield poor results in settings with lithological heterogeneity, complex water chemistry, or limited data. Problems arise because of assumed values for empirical constants in Archie’s Equation, unrealistic porosity and temperature gradients, or bicarbonate-rich groundwater. These issues become critical in complex geologic settings such as the San Joaquin Valley of California, USA. To address this, a method to map TDS in three dimensions is applied to the Fruitvale and Rosedale Ranch oil fields near Bakersfield, California. Borehole resistivity, porosity, and temperature data are used to derive TDS using Archie’s Equation, and are then kriged to interpolate TDS. Archie’s a and m (tortuosity factor and cementation exponent, respectively) are found by comparing model predictions, after kriging, to TDS measurements, and minimizing the differences via mathematical optimization. Contributions of abundant bicarbonate ions to TDS were corrected using an empirical model. This work was motivated by federal and state law requirements to monitor and protect underground sources of drinking water. Modeling shows the legally significant boundary of 10,000 ppm TDS is at ~1,067 m below sea level in Rosedale Ranch, and deepens into Fruitvale to ~1,341 m. Mapping groundwater TDS at this resolution reveals that TDS is primarily controlled by depth, recharge, stratigraphy, and in some places, by faulting and facies changes.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-018-1872-5","usgsCitation":"Stephens, M.J., Shimabukuro, D.H., Gillespie, J., and Chang, W., 2019, Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA: Hydrogeology Journal, v. 27, no. 2, p. 731-746, https://doi.org/10.1007/s10040-018-1872-5.","productDescription":"16 p.","startPage":"731","endPage":"746","ipdsId":"IP-088343","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468086,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-018-1872-5","text":"Publisher Index Page"},{"id":437630,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S181PH","text":"USGS data release","linkHelpText":"Geochemical and geophysical data for wells in the Fruitvale and Rosedale Ranch oil and gas fields, Kern County, California, USA"},{"id":357806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Kern County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.17,\n 35.34\n ],\n [\n -119.02,\n 35.34\n ],\n [\n -119.02,\n 35.458\n ],\n [\n -119.17,\n 35.458\n ],\n [\n -119.17,\n 35.34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-26","publicationStatus":"PW","scienceBaseUri":"5bc02f8ae4b0fc368eb538a5","contributors":{"authors":[{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":746427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":746428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Will 0000-0002-0796-0763","orcid":"https://orcid.org/0000-0002-0796-0763","contributorId":208210,"corporation":false,"usgs":false,"family":"Chang","given":"Will","email":"","affiliations":[{"id":37763,"text":"Hypergradient LLC","active":true,"usgs":false}],"preferred":false,"id":746429,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197860,"text":"70197860 - 2019 - A values-based private landowner typology to improve grassland conservation initiatives","interactions":[],"lastModifiedDate":"2019-03-15T12:45:34","indexId":"70197860","displayToPublicDate":"2018-09-26T12:36:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"A values-based private landowner typology to improve grassland conservation initiatives","docAbstract":"Many conservation initiatives are based on natural science alone, despite an extensive body of literature demonstrating that the incorporation of social science generates more successful and lasting outcomes. The Land Use Value (LUV) scale is an example of a social science tool that grassland conservation practitioners can use to improve their understanding of the land use decisions of private agricultural landowners. Drawing on data from a mail survey, we demonstrated the utility of the LUV scale to segment agricultural producers by four LUV types (Humans First, Nature First, Interconnected, and Disconnected) with significantly different motivations and land use behaviors. This information can be used to evaluate and align grassland conservation practices, policies, and messaging with the LUV types of private agricultural landowners. Tools like the LUV scale are critical to building the social science capacity of conservation professionals and organizations, in order to improve the efficacy of conservation initiatives.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2018.1501526","usgsCitation":"Sweikert, L.A., and Gigliotti, L.M., 2019, A values-based private landowner typology to improve grassland conservation initiatives: Society and Natural Resources, v. 32, no. 2, p. 167-183, https://doi.org/10.1080/08941920.2018.1501526.","productDescription":"17 p.","startPage":"167","endPage":"183","ipdsId":"IP-088877","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":357777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-06","publicationStatus":"PW","scienceBaseUri":"5bc02f8ae4b0fc368eb538a7","contributors":{"authors":[{"text":"Sweikert, Lily A.","contributorId":205889,"corporation":false,"usgs":false,"family":"Sweikert","given":"Lily","email":"","middleInitial":"A.","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":738787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":738786,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199700,"text":"70199700 - 2019 - Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California","interactions":[],"lastModifiedDate":"2019-01-28T09:18:55","indexId":"70199700","displayToPublicDate":"2018-09-26T12:09:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California","docAbstract":"Aim
In Southern California, native woody shrublands known as chaparral support exceptional biodiversity. However, large‐scale conversion of chaparral into largely exotic herbaceous cover is a major ecological threat and serious conservation concern. Due to substantial uncertainty regarding the causes and extent of this vegetation change, we aimed to quantify the primary drivers of and map potentially vulnerable locations for vegetation type conversion from woody into herbaceous cover.
Location
Santa Monica Mountains National Recreational Area, Southern California, USA.
Methods
We used air photograph image interpretation to quantify the extent to which chaparral shrublands transitioned to herbaceous cover from 1943 to 2014 across nearly 800 randomly located plots. Comparing plots that remained chaparral to those that converted to herbaceous cover, we performed hierarchical partitioning to quantify the independent contribution of a range of explanatory variables, and then used classification trees to explore variable interactions. We also developed a spatial model to create a seamless map delineating relative probability of type conversion.
Results
Of the original plots that were chaparral in 1943, 284 (36%) changed cover by 2014, with 79 completely converting, and 142 mostly converting to herbaceous cover. The primary mechanism behind shrubland decline and replacement was short intervals between fires (<=10 years), and type conversion was most likely to occur in arid parts of the landscape with low topographic heterogeneity and close proximity to trails and roads. Predictive maps delineated several hotspots with environmental conditions similar to those of type‐converted plots.
Main conclusions
Chaparral type conversion is a widespread conservation concern, and results here suggest that short‐interval fire and landscape disturbance are the most likely factors to exacerbate it, particularly in water‐limited portions of the landscape where chaparral is subject to greater physiological stress and slower recovery. Reducing fire ignitions and mapping vulnerable areas may be important strategies for prevention.
Carbon (C) sequestration through accumulated plant biomass and storage in soils can potentially make wetland ecosystems net C sinks. Here, we collected GHG flux, plant biomass, and litter decomposition data from three distinct vegetation zones (Spartinaalterniflora, Juncus roemerianus and Spartina patens) on a 7-year-old created brackish marsh in North Carolina, USA, and integrate these data into an overall C mass balance budget. The marsh fixed an average of 1.85 g C m−2 day−1 through plant photosynthesis. About 41–46% of the fixed C remained in plants, while 18.4% of the C was decomposed and released back to the atmosphere as CO2 and CH4, and 8.6–13.2% of the decomposed C was stored as soil C. In all, this created marsh sequestered 28.7–44.7 Mg CO2 year−1 across the 14 ha marsh. Because the brackish marsh emitted only small amounts of CH4 and N2O, the CO2 equivalent emission of the marsh was −0.87 to −0.56 g CO2-eq m−2 day−1, indicating the marsh has a net effect in reducing GHGs to the atmosphere and contributes to cooling. However, resultant CO2 credit (through the increment of soil C) would be worth only $30.76–$47.90 USD per hectare annually, or $431–$671 per year for the project, which, coupled with other enhanced ecosystem services, could provide landowners with some additional economic incentive for future creation projects. Nevertheless, C mass balance determinations and radiative cooling metrics showed promise in demonstrating the potential of a young created brackish marsh to act as a net carbon sink.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2018.09.007","usgsCitation":"Shiau, Y., Burchell, M.R., Krauss, K.W., Broome, S.W., and Birgand, F., 2019, Carbon storage potential in a recently created brackish marsh in eastern North Carolina, USA: Ecological Engineering, v. 127, p. 579-588, https://doi.org/10.1016/j.ecoleng.2018.09.007.","productDescription":"10 p.","startPage":"579","endPage":"588","ipdsId":"IP-080504","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2018.09.007","text":"Publisher Index Page"},{"id":357760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.937255859375,\n 34.56764471968292\n ],\n [\n -76.146240234375,\n 34.56764471968292\n ],\n [\n -76.146240234375,\n 35.0906979730151\n ],\n [\n -76.937255859375,\n 35.0906979730151\n ],\n [\n -76.937255859375,\n 34.56764471968292\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f8be4b0fc368eb538af","contributors":{"authors":[{"text":"Shiau, Yo-Jin","contributorId":174552,"corporation":false,"usgs":false,"family":"Shiau","given":"Yo-Jin","email":"","affiliations":[],"preferred":false,"id":746312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burchell, Michael R.","contributorId":174553,"corporation":false,"usgs":false,"family":"Burchell","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":746313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":746311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Broome, Stephen W.","contributorId":174555,"corporation":false,"usgs":false,"family":"Broome","given":"Stephen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":746314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birgand, Francois","contributorId":208193,"corporation":false,"usgs":false,"family":"Birgand","given":"Francois","email":"","affiliations":[{"id":36764,"text":"Department of Biological and Agricultural Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":746315,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227895,"text":"70227895 - 2019 - Greater sage-grouse vital rates after wildfire","interactions":[],"lastModifiedDate":"2022-02-02T17:57:27.577103","indexId":"70227895","displayToPublicDate":"2018-09-23T11:52:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Greater sage-grouse vital rates after wildfire","docAbstract":"Greater sage-grouse (Centrocercus urophasianus) have been subject to long-term and continuing declines in population and habitat since European settlement of western North America. Increased wildfire activity constitutes a primary threat to the species in western portions of their range, with documented declines in wildfire-affected populations. Following a 187,000-ha wildfire in southeastern Oregon and northern Nevada, USA, we used global positioning system (GPS) telemetry to monitor nest initiation, nest survival, nesting habitat, and adult survival of female sage-grouse during 2013 and 2014. We used known-fate models in Program MARK to estimate daily nest survival and monthly adult survival in relation to temporal patterns, physiological characteristics of females, and habitat and land-cover characteristics. We assessed habitat characteristics using geographic information system (GIS)-derived measures of post-fire habitat condition and land cover. Nest initiation rate following the fire was comparable to that observed in unaltered habitat. We observed nesting rates of 90% and 100% during 2013 and 2014, respectively, and renesting rates of 23% and 57% during the same years. Daily nest survival was consistently low in comparison to rates observed in concurrent studies in the region, for first nests during both years, and for second nests during 2013, but survival markedly increased for second nests during 2014. Sage-grouse generally did not leave the fire perimeter to nest, with 64% and 73% of nests located in the fire boundary during 2013 and 2014, respectively. Approximately 27% of nests were located in burned habitat during 2013, and 20% of nests in 2014 were located in burned habitat. Adult survival varied by month, and although patterns of monthly survival were similar between years, monthly survival rates were significantly reduced from the beginning of the study through the end of the first post-fire growing season. Our results indicate that sage-grouse continue to use fire-affected habitat in the years immediately following wildfire and sage-grouse experienced lower nest survival and adult female survival than other populations during the same period.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21573","usgsCitation":"Foster, L.J., Dugger, K., Hagen, C., and Budeau, D.A., 2019, Greater sage-grouse vital rates after wildfire: Journal of Wildlife Management, v. 83, no. 1, p. 121-134, https://doi.org/10.1002/jwmg.21573.","productDescription":"14 p.","startPage":"121","endPage":"134","ipdsId":"IP-094455","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Trout Creek Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.63130187988281,\n 41.996753126923714\n ],\n [\n -117.47543334960938,\n 41.996753126923714\n ],\n [\n -117.47543334960938,\n 42.097458173594724\n ],\n [\n -117.63130187988281,\n 42.097458173594724\n ],\n [\n -117.63130187988281,\n 41.996753126923714\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Foster, Lee J.","contributorId":201654,"corporation":false,"usgs":false,"family":"Foster","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, C.A.","contributorId":86526,"corporation":false,"usgs":true,"family":"Hagen","given":"C.A.","affiliations":[],"preferred":false,"id":832546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budeau, David A.","contributorId":44840,"corporation":false,"usgs":true,"family":"Budeau","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202848,"text":"70202848 - 2019 - The potential for citizen science to produce reliable and useful information in ecology","interactions":[],"lastModifiedDate":"2019-06-18T11:18:53","indexId":"70202848","displayToPublicDate":"2018-09-22T10:11:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The potential for citizen science to produce reliable and useful information in ecology","docAbstract":"We examined features of citizen science that influence data quality, inferential power, and usefulness in ecology. As background context for our examination, we considered topics such as ecological sampling (probability based, purposive, opportunistic), linkage between sampling technique and statistical inference(designbased,modelbased),andscientificparadigms(confirmatory,exploratory).Wedistinguished several types of citizen science investigations, from intensive research with rigorous protocols targeting clearly articulated questions to mass-participation internet-based projects with opportunistic data collection lacking samplingdesign,andexaminedoverarchingobjectives,design,analysis,volunteertraining,andperformance. We identified key features that influence data quality: project objectives, design and analysis, and volunteer training and performance. Projects with good designs, trained volunteers, and professional oversight can meet statistical criteria to produce high-quality data with strong inferential power and therefore are well suited for ecological research objectives. Projects with opportunistic data collection, little or no sampling design, and minimal volunteer training are better suited for general objectives related to public education or data exploration because reliable statistical estimation can be difficult or impossible. In some cases, statistically robust analytical methods, external data, or both may increase the inferential power of certain opportunistically collected data. Ecological management, especially by government agencies, frequently requires data suitable for reliable inference. With standardized protocols, state-of-the-art analytical methods, and well-supervised programs, citizen science can make valuable contributions to conservation by increasing the scope of species monitoring efforts. Data quality can be improved by adhering to basic principles of data collection and analysis, designing studies to provide the data quality required, and including suitable statistical expertise, thereby strengthening the science aspect of citizen science and enhancing acceptance by the scientific community and decision makers.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13223","usgsCitation":"Brown, E., and Williams, B.K., 2019, The potential for citizen science to produce reliable and useful information in ecology: Conservation Biology, v. 33, no. 3, p. 561-569, https://doi.org/10.1111/cobi.13223.","productDescription":"9 p.","startPage":"561","endPage":"569","ipdsId":"IP-078062","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":468089,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/cobi.13223","text":"External Repository"},{"id":362581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Ellie 0000-0001-7798-830X ebrown@usgs.gov","orcid":"https://orcid.org/0000-0001-7798-830X","contributorId":200491,"corporation":false,"usgs":true,"family":"Brown","given":"Ellie","email":"ebrown@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":760254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":760255,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228068,"text":"70228068 - 2019 - Toward a resilience-based conservation strategy for wetlands in Puerto Rico: Meeting challenges posed by environmental change","interactions":[],"lastModifiedDate":"2022-02-03T14:27:43.707348","indexId":"70228068","displayToPublicDate":"2018-09-22T08:21:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Toward a resilience-based conservation strategy for wetlands in Puerto Rico: Meeting challenges posed by environmental change","docAbstract":"Designing conservation strategies in human-dominated landscapes is challenging, owing to complex human-natural systems and evolving societal values. To meet this challenge, a robust, adaptive strategy should have a process for flexible implementation of incremental actions. We describe a hypothetical example for the Rio Grande de Arecibo watershed and coastal wetlands in Puerto Rico to address the first component. The process begins by identifying shared stakeholder objectives. This process benefits from a review of foundational research and knowledge base that includes global forcings and vulnerability of resources of interest. Forcings include climate change and pervasive urban sprawl. We focus on two taxonomic groups with differing life histories but strong dependence on water resource dynamics, another resource valued by humans. We stipulate objectives and multiple actions, but focus on those pertaining to hydro-management as the common thread in our example. We advanced two decision contexts of contrasting complexity, illustrated links between objectives and actions, and highlighted trade-offs triggered by varying resource valuation. Our focus was to highlight various components necessary to frame a resilience-based strategy, but we cannot overemphasize the importance of accommodating institutional and stakeholder changing priorities and values to ensure its successful implementation.
","language":"English","publisher":"Springer Link","doi":"10.1007/s13157-018-1080-z","usgsCitation":"Collazo, J.A., Terando, A., Engman, A.C., Fackler, P.F., and Kwak, T.J., 2019, Toward a resilience-based conservation strategy for wetlands in Puerto Rico: Meeting challenges posed by environmental change: Wetlands, v. 39, p. 1255-1269, https://doi.org/10.1007/s13157-018-1080-z.","productDescription":"15 p.","startPage":"1255","endPage":"1269","ipdsId":"IP-097202","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Rio Grande de Arecibo watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.57268524169922,\n 18.476678452242982\n ],\n [\n -66.58882141113281,\n 18.48905177104029\n ],\n [\n -66.62830352783203,\n 18.494912504982114\n ],\n [\n -66.64546966552734,\n 18.494261322223153\n ],\n [\n -66.65233612060547,\n 18.490679772801567\n ],\n [\n -66.67190551757812,\n 18.490354173686818\n ],\n [\n -66.70177459716795,\n 18.487098148509038\n ],\n [\n -66.70589447021484,\n 18.479283435684653\n ],\n [\n -66.77215576171875,\n 18.48579572111478\n ],\n [\n -66.7532730102539,\n 18.364626789278347\n ],\n [\n -66.74503326416016,\n 18.31672202533726\n ],\n [\n -66.66950225830078,\n 18.301402736594266\n ],\n [\n -66.6427230834961,\n 18.307269858371694\n ],\n [\n -66.6324234008789,\n 18.3235663757528\n ],\n [\n -66.64512634277344,\n 18.365930134630656\n ],\n [\n -66.6811752319336,\n 18.45486016273484\n ],\n [\n -66.60770416259764,\n 18.46072206529225\n ],\n [\n -66.57543182373047,\n 18.461373375441458\n ],\n [\n -66.57268524169922,\n 18.476678452242982\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2018-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":833007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engman, Augustin C.","contributorId":32145,"corporation":false,"usgs":false,"family":"Engman","given":"Augustin","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":833008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fackler, P. F.","contributorId":274468,"corporation":false,"usgs":false,"family":"Fackler","given":"P.","email":"","middleInitial":"F.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":833009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833010,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}