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,{"id":70196336,"text":"70196336 - 2018 - The aerosphere as a network connector of organisms and their diseases","interactions":[],"lastModifiedDate":"2018-04-03T11:45:55","indexId":"70196336","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The aerosphere as a network connector of organisms and their diseases","docAbstract":"Aeroecological processes, especially powered flight of animals, can rapidly connect biological communities across the globe. This can have profound consequences for evolutionary diversification, energy and nutrient transfers, and the spread of infectious diseases. The latter is of particular consequence for human populations, since migratory birds are known to host diseases which have a history of transmission into domestic poultry or even jumping to human hosts. In this chapter, we present a scenario under which a highly pathogenic avian influenza (HPAI) strain enters North America from East Asia via post-molting waterfowl migration. We use an agent-based model (ABM) to simulate the movement and disease transmission among 106 generalized waterfowl agents originating from ten molting locations in eastern Siberia, with the HPAI seeded in only ~102 agents at one of these locations. Our ABM tracked the disease dynamics across a very large grid of sites as well as individual agents, allowing us to examine the spatiotemporal patterns of change in virulence of the HPAI infection as well as waterfowl host susceptibility to the disease. We concurrently simulated a 12-station disease monitoring network in the northwest USA and Canada in order to assess the potential efficacy of these sites to detect and confirm the arrival of HPAI. Our findings indicated that HPAI spread was initially facilitated but eventually subdued by the migration of host agents. Yet, during the 90-day simulation, selective pressures appeared to have distilled the HPAI strain to its most virulent form (i.e., through natural selection), which was counterbalanced by the host susceptibility being conversely reduced (i.e., through genetic predisposition and acquired immunity). The monitoring network demonstrated wide variation in the utility of sites; some were clearly better at providing early warnings of HPAI arrival, while sites further from the disease origin exposed the selective dynamics which slowed the spread of the disease albeit with the result of passing highly virulent strains into southern wintering locales (where human impacts are more likely). Though the ABM presented had generalized waterfowl migration and HPAI disease dynamics, this exercise demonstrates the power of such simulations to examine the extremely large and complex processes which comprise aeroecology. We offer insights into how such models could be further parameterized to represent HPAI transmission risks as well as how ABMs could be applied to other aeroecological questions pertaining to individual-based connectivity.
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,{"id":70196345,"text":"70196345 - 2018 - Rising synchrony controls western North American ecosystems","interactions":[],"lastModifiedDate":"2018-05-21T13:13:21","indexId":"70196345","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Rising synchrony controls western North American ecosystems","docAbstract":"Along the western margin of North America, the winter expression of the North Pacific High (NPH) strongly influences interannual variability in coastal upwelling, storm track position, precipitation, and river discharge. Coherence among these factors induces covariance among physical and biological processes across adjacent marine and terrestrial ecosystems. Here, we show that over the past century the degree and spatial extent of this covariance (synchrony) has substantially increased, and is coincident with rising variance in the winter NPH. Furthermore, centuries‐long blue oak (Quercus douglasii) growth chronologies sensitive to the winter NPH provide robust evidence that modern levels of synchrony are among the highest observed in the context of the last 250 years. These trends may ultimately be linked to changing impacts of the El Niño Southern Oscillation on mid‐latitude ecosystems of North America. Such a rise in synchrony may destabilize ecosystems, expose populations to higher risks of extinction, and is thus a concern given the broad biological relevance of winter climate to biological systems.
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,{"id":70196352,"text":"70196352 - 2018 - Occupancy in community-level studies","interactions":[],"lastModifiedDate":"2018-04-03T15:24:32","indexId":"70196352","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Occupancy in community-level studies","docAbstract":"Another type of multi-species studies, are those focused on community-level metrics such as species richness. In this chapter we detail how some of the single-species occupancy models described in earlier chapters have been applied, or extended, for use in such studies, while accounting for imperfect detection. We highlight how Bayesian methods using MCMC are particularly useful in such settings to easily calculate relevant community-level summaries based on presence/absence data. These modeling approaches can be used to assess richness at a single point in time, or to investigate changes in the species pool over time.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Occupancy estimation and modeling (Second edition)","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-407197-1.00020-X","usgsCitation":"MacKenzie, D.I., Nichols, J.D., Royle, A., Pollock, K.H., Bailey, L.L., and Hines, J.E., 2018, Occupancy in community-level studies, chap. of Occupancy estimation and modeling (Second edition), p. 557-583, https://doi.org/10.1016/B978-0-12-407197-1.00020-X.","productDescription":"27 p.","startPage":"557","endPage":"583","ipdsId":"IP-088075","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf41","contributors":{"authors":[{"text":"MacKenzie, Darryl I.","contributorId":194669,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Darryl","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":732545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":732547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":189578,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":732548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732549,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196362,"text":"70196362 - 2018 - Skeletal injuries in small mammals: a multispecies assessment of prevalence and location","interactions":[],"lastModifiedDate":"2018-04-03T15:22:03","indexId":"70196362","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Skeletal injuries in small mammals: a multispecies assessment of prevalence and location","docAbstract":"Wild mammals are known to survive injuries that result in skeletal abnormalities. Quantifying and comparing skeletal injuries among species can provide insight into the factors that cause skeletal injuries and enable survival following an injury. We documented the prevalence and location of structural bone abnormalities in a community of 7 small mammal species inhabiting the White Mountains of New Hampshire. These species differ in locomotion type and levels of intraspecific aggression. Overall, the majority of injuries were to the ribs or caudal vertebrae. Incidence of skeletal injuries was highest in older animals, indicating that injuries accumulate over a lifetime. Compared to species with ambulatory locomotion, those with more specialized (semi-fossorial, saltatorial, and scansorial) locomotion exhibited fewer skeletal abnormalities in the arms and legs, which we hypothesize is a result of a lesser ability to survive limb injuries. Patterns of skeletal injuries in shrews (Soricidae) were consistent with intraspecific aggression, particularly in males, whereas skeletal injuries in rodents (Rodentia) were more likely accidental or resulting from interactions with predators. Our results demonstrate that both the incidence and pattern of skeletal injuries vary by species and suggest that the ability of an individual to survive a specific skeletal injury depends on its severity and location as well as the locomotor mode of the species involved.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyy020","usgsCitation":"Stephens, R.B., Burke, C.B., Woodman, N., Poland, L.B., and Rowe, R.J., 2018, Skeletal injuries in small mammals: a multispecies assessment of prevalence and location: Journal of Mammalogy, v. 99, no. 2, p. 486-497, https://doi.org/10.1093/jmammal/gyy020.","productDescription":"12 p.","startPage":"486","endPage":"497","ipdsId":"IP-094876","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyy020","text":"Publisher Index Page"},{"id":353122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-14","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf3b","contributors":{"authors":[{"text":"Stephens, Ryan B.","contributorId":203881,"corporation":false,"usgs":false,"family":"Stephens","given":"Ryan","email":"","middleInitial":"B.","affiliations":[{"id":36740,"text":"Natural Resources and the Environment, University of New Hampshire, 114 James Hall, 56 College Road, Durham NH 03824-3534, USA","active":true,"usgs":false}],"preferred":false,"id":732586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burke, Christopher B.","contributorId":203882,"corporation":false,"usgs":false,"family":"Burke","given":"Christopher","email":"","middleInitial":"B.","affiliations":[{"id":36740,"text":"Natural Resources and the Environment, University of New Hampshire, 114 James Hall, 56 College Road, Durham NH 03824-3534, USA","active":true,"usgs":false}],"preferred":false,"id":732587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732585,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Lily B.","contributorId":203883,"corporation":false,"usgs":false,"family":"Poland","given":"Lily","email":"","middleInitial":"B.","affiliations":[{"id":36740,"text":"Natural Resources and the Environment, University of New Hampshire, 114 James Hall, 56 College Road, Durham NH 03824-3534, USA","active":true,"usgs":false}],"preferred":false,"id":732588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowe, Rebecca J.","contributorId":203884,"corporation":false,"usgs":false,"family":"Rowe","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":36740,"text":"Natural Resources and the Environment, University of New Hampshire, 114 James Hall, 56 College Road, Durham NH 03824-3534, USA","active":true,"usgs":false}],"preferred":false,"id":732589,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196348,"text":"70196348 - 2018 - On the sensitivity of annual streamflow to air temperature","interactions":[],"lastModifiedDate":"2018-05-29T13:33:20","indexId":"70196348","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"On the sensitivity of annual streamflow to air temperature","docAbstract":"Although interannual streamflow variability is primarily a result of precipitation variability, temperature also plays a role. The relative weakness of the temperature effect at the annual time scale hinders understanding, but may belie substantial importance on climatic time scales. Here we develop and evaluate a simple theory relating variations of streamflow and evapotranspiration (E) to those of precipitation (P) and temperature. The theory is based on extensions of the Budyko water‐balance hypothesis, the Priestley‐Taylor theory for potential evapotranspiration ( ![\"urn:x-wiley:00431397:media:wrcr23194:wrcr23194-math-0001\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/7d1c7e98-ad4b-4606-94ff-30efa78ad609/wrcr23194-math-0001.png\")
), and a linear model of interannual basin storage. The theory implies that the temperature affects streamflow by modifying evapotranspiration through a Clausius‐Clapeyron‐like relation and through the sensitivity of net radiation to temperature. We apply and test (1) a previously introduced “strong” extension of the Budyko hypothesis, which requires that the function linking temporal variations of the evapotranspiration ratio (E/P) and the index of dryness ( ![\"urn:x-wiley:00431397:media:wrcr23194:wrcr23194-math-0002\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/b37d04ed-1f7f-4f14-86d6-d356a5da08b9/wrcr23194-math-0002.png\")
/P) at an annual time scale is identical to that linking interbasin variations of the corresponding long‐term means, and (2) a “weak” extension, which requires only that the annual evapotranspiration ratio depends uniquely on the annual index of dryness, and that the form of that dependence need not be known a priori nor be identical across basins. In application of the weak extension, the readily observed sensitivity of streamflow to precipitation contains crucial information about the sensitivity to potential evapotranspiration and, thence, to temperature. Implementation of the strong extension is problematic, whereas the weak extension appears to capture essential controls of the temperature effect efficiently.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR021970","usgsCitation":"Milly, P., Kam, J., and Dunne, K.A., 2018, On the sensitivity of annual streamflow to air temperature: Water Resources Research, v. 54, no. 4, p. 2624-2641, https://doi.org/10.1002/2017WR021970.","productDescription":"18 p.","startPage":"2624","endPage":"2641","ipdsId":"IP-091187","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":437966,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SJ1JVG","text":"USGS data release","linkHelpText":"Monthly Time Series of Streamflow, Precipitation, Air Temperature, and Net Radiation for 2,673 River Basins Worldwide, 1901-2013"},{"id":437965,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SN085V","text":"USGS data release","linkHelpText":"Annual Streamflow Sensitivity to Air Temperature Worldwide, 1901-2013"},{"id":353101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf45","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":732522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kam, Jonghun 0000-0002-7967-7705","orcid":"https://orcid.org/0000-0002-7967-7705","contributorId":203859,"corporation":false,"usgs":false,"family":"Kam","given":"Jonghun","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":732523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunne, Krista A. 0000-0002-1220-6140 kadunne@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-6140","contributorId":203816,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":732524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196228,"text":"ofr20181050 - 2018 - Passage survival of juvenile steelhead, coho salmon, and Chinook salmon in Lake Scanewa and at Cowlitz Falls Dam, Cowlitz River, Washington, 2010–16","interactions":[],"lastModifiedDate":"2018-04-04T10:20:34","indexId":"ofr20181050","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1050","title":"Passage survival of juvenile steelhead, coho salmon, and Chinook salmon in Lake Scanewa and at Cowlitz Falls Dam, Cowlitz River, Washington, 2010–16","docAbstract":"A multi-year evaluation was conducted during 2010–16 to evaluate passage survival of juvenile steelhead (Oncorhynchus mykiss), Chinook salmon (O. tshawytscha), and coho salmon (O. kisutch) in Lake Scanewa, and at Cowlitz Falls Dam in the upper Cowlitz River Basin, Washington. Reservoir passage survival was evaluated in 2010, 2011, and 2016, and included the tagging and release of 1,127 juvenile salmonids. Tagged fish were released directly into the Cowlitz and Cispus Rivers, 22.3 and 8.9 km, respectively, upstream of the reservoir, and were monitored as they moved downstream into, and through the reservoir. A single release-recapture survival model was used to analyze detection records and estimate reservoir passage survival, which was defined as successful passage from reservoir entry to arrival at Cowlitz Falls Dam. Tagged fish generally moved quickly downstream of the release sites and, on average, arrived in the dam forebay within 2 d of release. Median travel time from release to first detection at the dam ranged from 0.23 to 0.96 d for juvenile steelhead, from 0.15 to 1.11 d for juvenile coho salmon, and from 0.18 to 1.89 d for juvenile Chinook salmon. Minimum reservoir passage survival probabilities were 0.960 for steelhead, 0.855 for coho salmon and 0.900 for Chinook salmon.
Dam passage survival was evaluated at the pilot-study level during 2013–16 and included the tagging and release of 2,512 juvenile salmonids. Juvenile Chinook salmon were evaluated during 2013–14, and juvenile steelhead and coho salmon were evaluated during 2015–16. A paired-release study design was used that included release sites located upstream and downstream of Cowlitz Falls Dam. The downstream release site was positioned at the downstream margin of the dam’s tailrace, which allowed dam passage survival to be measured in a manner that included mortality that occurred in the passage route and in the dam tailrace. More than one-half of the tagged Chinook salmon (52 percent) released upstream of Cowlitz Falls Dam moved downstream and passed the project; the remaining fish either remained upstream of the dam (37 percent) or were collected (11 percent). In 2015 and 2016, collection efficiencies at Cowlitz Falls Dam were abnormally high for juvenile steelhead and coho salmon, which resulted in few fish passing the dam. Seven percent of the tagged steelhead (40 fish) and 4 percent of the tagged coho salmon (18 fish) released upstream of the dam eventually passed the project, but these low numbers of fish precluded the estimation of meaningful survival estimates. Dam passage survival probability estimates for juvenile Chinook salmon were 0.828 in 2013 and 0.861 in 2014, lower than previously reported for turbine-specific passage Cowlitz Falls Dam.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181050","collaboration":"Prepared in cooperation with the Lewis County Public Utility District, Washington","usgsCitation":"Liedtke, T.L., Kock, T.J., and Hurst, W., 2018, Passage survival of juvenile steelhead, coho salmon, and Chinook salmon in Lake Scanewa and at Cowlitz Falls Dam, Cowlitz River, Washington, 2010–16: U.S. Geological Survey Open-File Report 2018-1050, 44 p., https://doi.org/10.3133/ofr20181050.","productDescription":"viii, 44 p.","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-094272","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":353112,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1050/ofr20181050.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1050"},{"id":353111,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1050/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cowlitz Falls Dam, Cowlitz River, Lake Scanewa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1844482421875,\n 46.42129253514276\n ],\n [\n -121.94549560546875,\n 46.42129253514276\n ],\n [\n -121.94549560546875,\n 46.53477563383562\n ],\n [\n -122.1844482421875,\n 46.53477563383562\n ],\n [\n -122.1844482421875,\n 46.42129253514276\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
","tableOfContents":"- Abstract
- Chapter A. Reservoir Passage Survival of Juvenile Steelhead, Coho Salmon, and Chinook Salmon in Lake Scanewa, Upper Cowlitz River, Washington, 2010, 2011, and 2016
- Chapter B. Dam Passage Survival of Juvenile Steelhead, Coho Salmon, and Chinook Salmon at Cowlitz Falls Dam, Cowlitz River, Washington, 2013-16
- Appendix 1. Summary of Radio Transmitter Failures Associated with the 2016 Cowlitz River Evaluations
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-04-03","noUsgsAuthors":false,"publicationDate":"2018-04-03","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf53","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":731754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":731755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurst, William 0000-0001-5758-8210 whurst@usgs.gov","orcid":"https://orcid.org/0000-0001-5758-8210","contributorId":139838,"corporation":false,"usgs":true,"family":"Hurst","given":"William","email":"whurst@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":731756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198730,"text":"70198730 - 2018 - Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas","interactions":[],"lastModifiedDate":"2018-11-14T09:52:43","indexId":"70198730","displayToPublicDate":"2018-04-02T11:33:10","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas","docAbstract":"Groundwater availability studies in the arid southwestern United States traditionally have assumed that groundwater discharge by evapotranspiration (ETg) from desert playas is a significant component of the groundwater budget. However, desert playa ETg rates are poorly constrained by Bowen Ratio energy budget (BREB) and eddy-covariance (EC) micrometeorological measurement approaches. Best attempts by previous studies to constrain ETg from desert playas have resulted in ETg rates that are within the measurement error of micrometeorological approaches. This study uses numerical models to further constrain desert playa ETg rates that are within the measurement error of BREB and EC approaches, and to evaluate the effect of hydraulic properties and salinity-based groundwater-density contrasts on desert playa ETg rates. Numerical models simulated ETg rates from desert playas in Death Valley, California and Dixie Valley, Nevada. Results indicate that actual ETg rates from desert playas are significantly below the uncertainty thresholds of BREB- and EC-based micrometeorological measurements. Discharge from desert playas likely contributes less than 2 percent of total groundwater discharge from Dixie and Death Valleys, which suggests discharge from desert playas also is negligible in other basins. Simulation results also show that ETg from desert playas primarily is limited by differences in hydraulic properties between alluvial fan and playa sediments and, to a lesser extent, by salinity-based groundwater density contrasts.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12647","usgsCitation":"Jackson, T., Halford, K.J., Gardner, P.M., and Garcia, A., 2018, Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas: Ground Water, v. 56, no. 6, p. 909-920, https://doi.org/10.1111/gwat.12647.","productDescription":"12 p.","startPage":"909","endPage":"920","ipdsId":"IP-067348","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":488351,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1429589","text":"External Repository"},{"id":356588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-26","publicationStatus":"PW","scienceBaseUri":"5b98a2e1e4b0702d0e843003","contributors":{"authors":[{"text":"Jackson, Tracie 0000-0001-8553-0323 tjackson@usgs.gov","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":193845,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie","email":"tjackson@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":208515,"corporation":false,"usgs":false,"family":"Garcia","given":"Amanda","email":"cgarcia@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":747519,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248920,"text":"70248920 - 2018 - High frequency data exposes nonlinear seasonal controls on dissolved organic matter in a large watershed","interactions":[],"lastModifiedDate":"2023-09-26T12:10:32.30659","indexId":"70248920","displayToPublicDate":"2018-04-02T07:08:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"High frequency data exposes nonlinear seasonal controls on dissolved organic matter in a large watershed","docAbstract":"We analyzed a five year, high frequency time series generated by an in situ fluorescent dissolved organic matter (fDOM) sensor installed near the Connecticut River’s mouth, investigating high temporal resolution DOM dynamics in a larger watershed and longer time series than previously addressed. We identified a gradient between large, saturating summer fDOM responses to discharge and linear, subdued responses during colder months. Seasonal response patterns were not consistent with multiple linear regression. Alternatively, we binned measurements across the yearly cycle using environmental indices, such as temperature, and applied moving regression, a novel approach which produced superior fits to calendar day binning. Spatially averaged watershed soil temperature at 10 cm was the best overall index of discharge-fDOM response. DOM fractionation showed fDOM was primarily a surrogate for hydrophobic organic acid (HPOA) concentrations. HPOAs were highly correlated with discharge, but hydrophilics (HPIs) were not. Discharge dependent DOM concentrations driven by the HPOA fraction may be controlled by soil temperature and water table position relative to organic and mineral soil horizons. HPI concentrations were correlated with average watershed soil temperature at 10 cm but were rather stationary throughout the year, further indicating a consistent groundwater source for this nonfluorescent DOM. We present a resolved subseasonal empirical model of DOM concentrations and fluxes, showing that riverine DOM flux and quality depend heavily on seasonal terrestrial carbon dynamics and hydrologic flow paths. High frequency monitoring reveals readily discernible patterns demonstrating that upland biogeochemical signals are maintained even at this large watershed scale.
Viscously relaxed craters provide a window into the thermal history of Ganymede, a satellite with copious geologic signs of past high heat flows. Here we present measurements of relaxed craters in four regions for which suitable imaging exists: near Anshar Sulcus, Tiamat Sulcus, northern Marius Regio, and Ganymede's south pole. We describe a technique to measure apparent depth, or depth of the crater with respect to the surrounding terrain elevation. Measured relaxation states are compared with results from finite element modeling to constrain heat flow scenarios [see companion paper: Bland et al. (2017)]. The presence of numerous, substantially relaxed craters indicates high heat flows—in excess of 30–40 mW m−2 over 2 Gyr, with many small (<10 km in diameter) relaxed craters indicating even higher heat flows. Crater relaxation states are bimodal for some equatorial regions but not in the region studied near the south pole, which suggests regional variations in Ganymede's thermal history.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2018.01.012","usgsCitation":"Singer, K.N., Bland, M.T., Schenk, P.M., and McKinnon, W.B., 2018, Relaxed impact craters on Ganymede: Regional variation and high heat flows: Icarus, v. 306, p. 214-224, https://doi.org/10.1016/j.icarus.2018.01.012.","productDescription":"11 p.","startPage":"214","endPage":"224","ipdsId":"IP-085512","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":353036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"306","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf63","contributors":{"authors":[{"text":"Singer, Kelsi N.","contributorId":196151,"corporation":false,"usgs":false,"family":"Singer","given":"Kelsi","email":"","middleInitial":"N.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":732267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":732266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Paul M.","contributorId":172682,"corporation":false,"usgs":false,"family":"Schenk","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":27077,"text":"Lunar and Planetary Inst.","active":true,"usgs":false}],"preferred":false,"id":732268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKinnon, William B.","contributorId":196152,"corporation":false,"usgs":false,"family":"McKinnon","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":16661,"text":"Washington University in Saint Louis","active":true,"usgs":false}],"preferred":false,"id":732269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196330,"text":"70196330 - 2018 - Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood","interactions":[],"lastModifiedDate":"2018-04-03T13:48:19","indexId":"70196330","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood","docAbstract":"At approximately 18.0 ka, pluvial Lake Bonneville reached its maximum level. At its northeastern extent it was impounded by alluvium of the Marsh Creek Fan, which breached at some point north of Red Rock Pass (Idaho), leading to one of the largest floods on Earth. About 5320 km3 of water was discharged into the Snake River drainage and ultimately into the Columbia River. We use a 0D model and a 2D non-linear depth-averaged hydrodynamic model to aid understanding of outflow dynamics, specifically evaluating controls on the amount of water exiting the Lake Bonneville basin exerted by the Red Rock Pass outlet lithology and geometry as well as those imposed by the internal lake geometry of the Bonneville basin. These models are based on field evidence of prominent lake levels, hypsometry and terrain elevations corrected for post-flood isostatic deformation of the lake basin, as well as reconstructions of the topography at the outlet for both the initial and final stages of the flood. Internal flow dynamics in the northern Lake Bonneville basin during the flood were affected by the narrow passages separating the Cache Valley from the main body of Lake Bonneville. This constriction imposed a water-level drop of up to 2.7 m at the time of peak-flow conditions and likely reduced the peak discharge at the lake outlet by about 6%. The modeled peak outlet flow is 0.85·106 m3 s−1. Energy balance calculations give an estimate for the erodibility coefficient for the alluvial Marsh Creek divide of ∼0.005 m y−1 Pa−1.5, at least two orders of magnitude greater than for the underlying bedrock at the outlet. Computing quasi steady-state water flows, water elevations, water currents and shear stresses as a function of the water-level drop in the lake and for the sequential stages of erosion in the outlet gives estimates of the incision rates and an estimate of the outflow hydrograph during the Bonneville Flood: About 18 days would have been required for the outflow to grow from 10% to 100% of its peak value. At the time of peak flow, about 10% of the lake volume would have already exited; eroding about 1 km3 of alluvium from the outlet, and the lake level would have dropped by about 10.6 m.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.03.065","usgsCitation":"Abril-Hernandez, J.M., Perianez, R., O'Connor, J., and Garcia-Castellanos, D., 2018, Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood: Journal of Hydrology, v. 561, p. 1-15, https://doi.org/10.1016/j.jhydrol.2018.03.065.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-096400","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":487510,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://idus.us.es/handle//11441/129885","text":"External Repository"},{"id":353067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5,\n 38\n ],\n [\n -111.5,\n 38\n ],\n [\n -111.5,\n 42.5\n ],\n [\n -114.5,\n 42.5\n ],\n [\n -114.5,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"561","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf5b","contributors":{"authors":[{"text":"Abril-Hernandez, Jose M.","contributorId":203798,"corporation":false,"usgs":false,"family":"Abril-Hernandez","given":"Jose","email":"","middleInitial":"M.","affiliations":[{"id":36718,"text":"University of Seville, Departamento de Física Aplicada I, ETSIA, Sevilla, Spain.","active":true,"usgs":false}],"preferred":false,"id":732348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perianez, Raul","contributorId":203799,"corporation":false,"usgs":false,"family":"Perianez","given":"Raul","email":"","affiliations":[{"id":36719,"text":"University of Seville, Departamento de Física Aplicada I, ETSIA, Sevilla, Spain","active":true,"usgs":false}],"preferred":false,"id":732349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":732347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia-Castellanos, Daniel","contributorId":203800,"corporation":false,"usgs":false,"family":"Garcia-Castellanos","given":"Daniel","email":"","affiliations":[{"id":36720,"text":"Instituto de Ciencias de la Tierra Jaume Almera, ICTJA-CSIC, Solé i Sabarís s/n, 08028 Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":732350,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198423,"text":"70198423 - 2018 - Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains","interactions":[],"lastModifiedDate":"2018-08-03T14:31:56","indexId":"70198423","displayToPublicDate":"2018-04-01T14:31:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains","docAbstract":"Because moderate to over-abundant white-tailed deer (Odocoileus virginianus) herbivory impacts biodiversity and can alter community function, ecological benchmarks of herbivory impact are needed to assess deer impacts. We evaluated spatial patterns of deer herbivory and their relation to herbivory assessment by evaluating woody vegetation along 20 transects at each of 30 sites spread across a wide range of deer herd densities and vegetative condition throughout the biodiverse Appalachian Mountains of Virginia, USA. Surprisingly, herbivory patterns and the availability of woody forage generally were unchanged among physiographic regions and land use diversity classes. However, some relationships between browsing pattern and vegetation varied with scale. The total quantity of vegetation browsed on a given site and at the transect scale were related positively to the availability of forage, as the proportion of stems browsed decreased as stem density increased. However, this was only true when all stems were considered equally. When stem densities by species were weighted for deer preference, the proportion of stems browsed had no relationship or increased with stem density. Compared to the value from all transects sampled, on average, the mean of ≥ 3 transects within a site was within 0.1 of the browsing ratio and stem densities were within 0.5 stems m−2. Our results suggest that one transect per square kilometer with a minimum of three transects may be sufficient for most browsing intensity survey requirements to assess herbivory impacts in the Appalachian region of Virginia. Still, inclusion of spatial factors to help partition variation of deer herbivory potentially may allow for improved precision and accuracy in the design of field herbivory impact assessment methods and improve their application across various landscape contexts.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-018-6627-1","usgsCitation":"Kniowski, A.B., and Ford, W., 2018, Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains: Environmental Monitoring and Assessment, v. 190, p. 1-13, https://doi.org/10.1007/s10661-018-6627-1.","productDescription":"Article 248; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-084036","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468865,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99349","text":"External Repository"},{"id":356154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.69384765625,\n 36.589068371399115\n ],\n [\n -77.442626953125,\n 36.589068371399115\n ],\n [\n -77.442626953125,\n 39.51251701659638\n ],\n [\n -83.69384765625,\n 39.51251701659638\n ],\n [\n -83.69384765625,\n 36.589068371399115\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"190","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-25","publicationStatus":"PW","scienceBaseUri":"5b6fc473e4b0f5d57878ea8a","contributors":{"authors":[{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":741598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":741378,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200757,"text":"70200757 - 2018 - Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post‐wildfire debris flow initiation","interactions":[],"lastModifiedDate":"2018-10-31T14:06:03","indexId":"70200757","displayToPublicDate":"2018-04-01T14:05:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post‐wildfire debris flow initiation","docAbstract":"Soils in post‐wildfire environments are often characterized by a low infiltration capacity with a high degree of spatial heterogeneity relative to unburned areas. Debris flows are frequently initiated by run‐off in recently burned steeplands, making it critical to develop and test methods for incorporating spatial variability in infiltration capacity into hydrologic models. We use Monte Carlo simulations of run‐off generation over a soil with a spatially heterogenous saturated hydraulic conductivity (Ks) to derive an expression for an aerially averaged saturated hydraulic conductivity ( ![\"urn:x-wiley:hyp:media:hyp11458:hyp11458-math-0001\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/53b77d9a-9f07-4c30-b06f-388e3f4ed5e7/hyp11458-math-0001.png\")
) that depends on the rainfall rate, the statistical properties of Ks, and the spatial correlation length scale associated with Ks. The proposed method for determining ![\"urn:x-wiley:hyp:media:hyp11458:hyp11458-math-0002\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/37036384-9143-4392-a70f-ddd0fb52b15b/hyp11458-math-0002.png\")
is tested by simulating run‐off on synthetic topography over a wide range of spatial scales. Results provide a simplified expression for an effective saturated hydraulic conductivity that can be used to relate a distribution of small‐scale Ks measurements to infiltration and run‐off generation over larger spatial scales. Finally, we use a hydrologic model based on ![\"urn:x-wiley:hyp:media:hyp11458:hyp11458-math-0003\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/6986a8a2-1a1b-41b6-89c5-9bb9898fd515/hyp11458-math-0003.png\")
to simulate run‐off and debris flow initiation at a recently burned catchment in the Santa Ana Mountains, CA, USA, and compare results to those obtained using an infiltration model based on the Soil Conservation Service Curve Number.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11458","usgsCitation":"McGuire, L.A., Rengers, F.K., Kean, J.W., Staley, D.M., and Mirus, B.B., 2018, Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post‐wildfire debris flow initiation: Hydrological Processes, v. 32, no. 9, p. 1175-1187, https://doi.org/10.1002/hyp.11458.","productDescription":"13 p.","startPage":"1175","endPage":"1187","ipdsId":"IP-093401","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437968,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70K27R0","text":"USGS data release","linkHelpText":"Post-wildfire debris-flow monitoring data, 2014 Silverado Fire, Orange County, California, November 2014 to January 2016"},{"id":359040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Ana Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.5917,\n 33.7458\n ],\n [\n -117.5833,\n 33.7458\n ],\n [\n -117.5833,\n 33.7625\n ],\n [\n -117.5917,\n 33.7625\n ],\n [\n -117.5917,\n 33.7458\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5c10a9e0e4b034bf6a7e54f4","contributors":{"authors":[{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":750392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":750396,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201113,"text":"70201113 - 2018 - Defining “atmospheric river”: How the Glossary of Meteorology helped resolve a debate","interactions":[],"lastModifiedDate":"2018-11-29T11:51:57","indexId":"70201113","displayToPublicDate":"2018-04-01T11:51:49","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Defining “atmospheric river”: How the Glossary of Meteorology helped resolve a debate","title":"Defining “atmospheric river”: How the Glossary of Meteorology helped resolve a debate","docAbstract":"Since the term “atmospheric river” (AR) first appeared in modern scientific literature in the early 1990s, it has generated debate about the meaning of the concept. A common popular definition is something along the lines of a “river in the sky,” albeit as a river of water vapor rather than of liquid. This general concept has come into regular use in the western United States and in some other regions affected by ARs, partly due to its use by media, and due to the intuitive nature of the concept. However, over the last 20 years there have been varying perspectives on the term in the technical community. These perspectives range roughly from considering it duplicative of preexisting concepts, such as the warm conveyor belt (WCB), to arguments that the analogy to terrestrial rivers is inappropriate, to being a primary topic of focused research, applications, and usage by water managers.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-17-0157.1","usgsCitation":"Ralph, F.M., Dettinger, M.D., Cairns, M.M., Galarneau, T.J., and Eylander, J., 2018, Defining “atmospheric river”: How the Glossary of Meteorology helped resolve a debate: Bulletin of the American Meteorological Society, v. 99, no. 4, p. 837-839, https://doi.org/10.1175/BAMS-D-17-0157.1.","productDescription":"3 p.","startPage":"837","endPage":"839","ipdsId":"IP-086996","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":359792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0108d7e4b0815414cc2e07","contributors":{"authors":[{"text":"Ralph, F. Martin","contributorId":150276,"corporation":false,"usgs":false,"family":"Ralph","given":"F.","email":"","middleInitial":"Martin","affiliations":[{"id":17953,"text":"Earth Systems Research Lab, NOAA","active":true,"usgs":false}],"preferred":false,"id":752726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":752725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cairns, Mary M.","contributorId":210945,"corporation":false,"usgs":false,"family":"Cairns","given":"Mary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":752727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galarneau, Thomas J.","contributorId":210914,"corporation":false,"usgs":false,"family":"Galarneau","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":752728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eylander, John","contributorId":210915,"corporation":false,"usgs":false,"family":"Eylander","given":"John","email":"","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":752729,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227844,"text":"70227844 - 2018 - Genetic integrity, population status, and long-term viability of isolated populations of shoal bass in the upper Chattahoochee River basin, Georgia","interactions":[],"lastModifiedDate":"2022-02-01T17:36:45.094706","indexId":"70227844","displayToPublicDate":"2018-04-01T11:32:44","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/CHAT/NRR-2018/1620","title":"Genetic integrity, population status, and long-term viability of isolated populations of shoal bass in the upper Chattahoochee River basin, Georgia","docAbstract":"This report characterizes the status of multiple isolated Shoal Bass (Micropterus cataractae) populations in the upper Chattahoochee River basin (UCRB), Georgia. The Shoal Bass, a sport fish endemic to the Apalachicola-Chattahoochee-Flint River (ACF) basin, is a fluvial-specialist species considered vulnerable to local extirpations and extinction due to habitat fragmentation and introgression with non-native congeners. Perhaps one of the most isolated populations of Shoal Bass exists in a 2-km reach of Big Creek, a tributary of the Chattahoochee River located near Roswell, Georgia. Big Creek is partially contained within the Chattahoochee River National Recreation Area, although the Big Creek watershed is riddled with urban land cover. Roswell Mill Dam limits the upstream extent of the Shoal Bass population at Big Creek, and the downstream extent is presumably limited to the confluence of Big Creek and the Chattahoochee River. This reach of the Chattahoochee River is thermally depressed because of coldwater releases from Lake Lanier, and is considered unsuitable for Shoal Bass. Herein, we examine the genetic integrity, population status, and long-term viability of the Shoal Bass population in Big Creek. We also examine two additional Shoal Bass populations that occur in the UCRB, specifically the Chestatee River and the upper Chattahoochee River, both of which are impounded at Lake Lanier. Together, the Shoal Bass inhabiting these three stream systems comprise a distinct genetic stock of Shoal Bass (Taylor 2017), underscoring the importance of conserving these populations towards maintaining the overall diversity and adaptive potential of the species. We assessed genetic diversity and estimated effective population sizes within these three rivers by genotyping fish with 16 microsatellite DNA markers. Results demonstrated that the Shoal Bass population in Big Creek has experienced high rates of introgression with non-native Smallmouth Bass (M. dolomieu), purportedly introduced into the Chattahoochee River in the past 10-15 years. Alarmingly, only 24% (15 of 62) of putative Shoal Bass collected from Big Creek were genetically pure Shoal Bass, whereas the majority of fish were first-filial (F1) generation hybrids and unidirectional backcrosses towards Shoal Bass. Fleeting opportunity may remain to conserve the native genome of the Shoal Bass population in Big Creek. High hybridization rates prevented genetic diversity analysis for the Big Creek population. Shoal Bass populations in the Chestatee and Chattahoochee rivers displayed levels of genetic diversity similar to populations that persist in other rivers in the ACF basin, namely the Flint and Chipola rivers. Effective population sizes of 93.8– 197.4 for the Chestatee and Chattahoochee rivers (combined) suggest that the conservation status of these populations is stable for the short-term, but may be at risk of losing genetic diversity and adaptive potential in the long-term. To estimate age and mortality of the three populations, we used fish scales and capture-markrecapture (CMR) as complementary, non-lethal methods for age estimation. Estimated ages of phenotypic Shoal Bass ranged from 1-12 years in all three populations, demonstrating increased longevity compared to populations elsewhere within the native range. Catch-curve estimates of annual mortality ranged from 18.4-23.7%, which are markedly lower than those observed in other Shoal Bass populations in the ACF basin. These differences in life-history characteristics underscore the need for the development of population-specific management and conservation strategies for Shoal Bass in the UCRB. The lowest recruitment variability (i.e., the variation in year-class strength) was observed in the Chestatee River, a forested watershed, whereas the highest variability was observed in Big Creek, an urbanized watershed. Recruitment strength in Big Creek was negatively influenced by discharge variability in the summer months, suggesting that flashy, sediment-laden flows hinder survival of recently hatched young. Other statistically significant models from Big Creek and the Chattahoochee River indicated that over-winter survival could be an important pinch-point for recruitment in UCRB populations. A multi-agency sampling effort was conducted from May 2013-May 2016 to estimate the population size of Shoal Bass occupying the 1-km of wadeable shoal habitats in Big Creek. Using CMR models, we estimated that approximately 219-348 Shoal Bass (≥ 70 mm total length) occupied the area throughout the duration of our study. These estimates largely reflect abundance of individuals aged 0-2 years, as only 9% (36 of 408) tagged fish were aged ≥ 7 years. Local abundance appeared similar to that reported for a population that inhabited Little Uchee Creek, a similar-sized tributary of the Chattahoochee River, prior to its recent functional extirpation. The low abundance of large, adult Shoal Bass further suggests the long-term viability of the Big Creek population may be in jeopardy. Perhaps most importantly, CMR estimates reflect abundance of phenotypic Shoal Bass – genetic analyses suggest the abundance of pure Shoal Bass could be an order of magnitude smaller. To evaluate the potential for adult Shoal Bass to emigrate from Big Creek into the mainstem Chattahoochee River, we tagged eight adults with acoustic telemetry tags and assessed their seasonal residency at two stationary receiver locations located in increasing proximity to the confluence with the Chattahoochee River. Fish took up residency near the confluence during the fall and winter months, during which time water temperatures in Big Creek were periodically colder than the Chattahoochee River. Although we were unable to document emigration, we conclude that the potential for emigration is highest during the winter months when the Chattahoochee River may be warmer than Big Creek. Two of the tagged fish were caught by anglers near the confluence, suggesting that angling pressure at Big Creek may be higher than previously suspected. Overall, this study observed unique life-history characteristics and characterized the population status of multiple Shoal Bass populations in the UCRB. Populations in the Chestatee and Chattahoochee rivers appear stable at present and likely represent the last remaining strongholds for pure Shoal Bass in the UCRB. Efforts to preserve forested watershed conditions, natural hydrology, and shoal habitats would contribute to the long-term persistence of Shoal Bass populations in these two rivers. Additionally, the detection of non-native Alabama Bass and their associated hybrids in both rivers is cause for concern. Diligent monitoring of hybridization dynamics between Alabama Bass and Shoal Bass is warranted, along with an assessment of Alabama Bass invasion extent upstream of Lake Lanier. The Shoal Bass population in Big Creek is threatened by elevated levels of introgression with nonnative Smallmouth Bass, recruitment variability, low abundance of adults, and isolation from other populations. Conservation intervention is urgently needed to restore and preserve this genetically distinct population, which would contribute to preservation of range wide genetic diversity and adaptability of the species. Additionally, an urban sport fishery for Shoal Bass at Big Creek has the potential to serve as a tool for increasing public awareness, engagement, and support of Shoal Bass conservation efforts in the UCRB. We suggest strategies for conservation of the remnant shoal habitats and Shoal Bass population in Big Creek, including potential development of a supplemental stocking program, selective removal of non-native congeners, and delivery of environmental education programs that could bolster awareness and appreciation.
","language":"English","publisher":"National Park Service","usgsCitation":"Taylor, A.T., and Long, J.M., 2018, Genetic integrity, population status, and long-term viability of isolated populations of shoal bass in the upper Chattahoochee River basin, Georgia: Natural Resource Report NPS/CHAT/NRR-2018/1620, x, 49 p.","productDescription":"x, 49 p.","ipdsId":"IP-093252","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395219,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/600778"}],"country":"United States","state":"Georgia","otherGeospatial":"Big Creek, Chattahoochee River, Chestatee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.397216796875,\n 34.54954921593403\n ],\n [\n -83.70758056640625,\n 34.73484137177769\n ],\n [\n -84.4024658203125,\n 34.03900467904445\n ],\n [\n -84.22119140625,\n 33.87269600798948\n ],\n [\n -83.397216796875,\n 34.54954921593403\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Andrew T.","contributorId":177197,"corporation":false,"usgs":false,"family":"Taylor","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":832509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832415,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227850,"text":"70227850 - 2018 - Assessing the risk of dreissenid mussel invasion in Texas based on lake physical characteristics and potential for downstream dispersal","interactions":[],"lastModifiedDate":"2024-03-22T16:13:08.183249","indexId":"70227850","displayToPublicDate":"2018-04-01T11:10:35","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Assessing the risk of dreissenid mussel invasion in Texas based on lake physical characteristics and potential for downstream dispersal","docAbstract":"ebra mussels (Dreissena polymorpha) and quagga mussels (Dreissena bugensis) were likely introduced from Ponto-Caspian Eurasia to the Laurentian Great Lakes inadvertently via ballast water release in the 1980s and have since spread across the US, including Texas. Their spread into the state, including reservoirs in both Brazos River and Colorado River basins, has resulted in a need to delimit suitable dreissenid habitat and dispersal potential in Texas. The objective of our research was to assess invasion risk in Texas by 1) predicting distribution of suitable habitat of zebra and quagga mussels using Maxent models; 2) refining lake-specific predictions for present zebra mussels via collection of physicochemical data; and 3) assessing the potential for downstream spread of zebra mussels by applying environmental DNA (eDNA) methods in the Leon and Lampasas Rivers downstream from the invaded Lakes Belton and Stillhouse Hollow, respectively.
Maxent models did not predict the occurrence of suitable habitat for quagga mussels within Texas. However, our models accurately identified global zebra mussel habitat (AUC = 0.919), and Bioclim layers representing temperature and precipitation data both strongly influenced predictions. Predicted “hotspots” of suitable zebra mussel habitat in Texas occurred along the Red and Sabine Rivers of north and east Texas, as well as patches of suitable habitat in central Texas between the Colorado and Brazos Rivers and extending inland along the Gulf Coast. Most of the Texas panhandle, west Texas extending toward El Paso, and the Rio Grande valley were predicted to provide poor habitat suitability.
Collection of physicochemical data (dissolved oxygen, pH, specific conductance, and temperature on-site as well as laboratory analysis for Ca, N, and P) from zebra mussel invaded lakes and a subset of identified high-risk lakes of North and Central Texas, did not aid predictions. Visual inspection of biplots of the first three components of a principle component analysis, which together accounted for ~80% of data variability, did not reveal separation between invaded and uninvaded lakes, and logistic regression analysis also failed to identify predictive relationships between measured variables and invasion status.
Using eDNA analysis, we detected the presence of zebra mussel eDNA at 11 of 12 sites and up to at least 90.7 river km downstream from a pair of infested reservoirs. Rate of positive detection among water samples at each site ranged from 1/5 to 5/5, and within positive water samples, rate of detection among technical replicates ranged from 1/8 to 8/8, suggesting considerable heterogeneity in the zebra mussel eDNA signal in both rivers. Furthermore, no clear spatial pattern in detection rate occurred.
Thus, a monitoring strategy that combines traditional sampling (e.g. settlement substrate samplers and microscopy) at sites immediately below a dam, and transitioning to more sensitive eDNA analysis at distances further from the dam may represent the most successful strategy for detection of dreissenid mussel downstream dispersal. Overall, we have demonstrated that while quagga mussels do not appear to represent an invasive threat in Texas, suitable habitat for continuing zebra mussel invasion exists within Texas, and stream and river connections may contribute to their spread. The threat of continued expansion of this poster-child for negative invasive species impacts warrants further prevention efforts, management, and research.
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,{"id":70199113,"text":"70199113 - 2018 - Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA","interactions":[],"lastModifiedDate":"2018-09-05T10:23:38","indexId":"70199113","displayToPublicDate":"2018-04-01T10:23:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA","docAbstract":"Recovering endangered species populations when confronted with the threat of invasive species is an ongoing natural resource management challenge. While eradication of the invasive species is often the optimal economic solution, it may not be a feasible nor desirable management action in other cases. For example, when invasive species are desired in one area, but disperse into areas managed for endangered species, managers may be interested in persistent, but cost-effective means of managing dispersers rather than eradicating the source. In the Colorado River, a nonnative rainbow trout (Oncorhynchus mykiss) sport fishery is desired within Glen Canyon National Recreation Area, however, dispersal downriver into the Grand Canyon National Park is not desired as rainbow trout negatively affect endangered humpback chub (Gila cypha). Here, we developed a bioeconomic model incorporating population abundance goals and cost-effectiveness analyses to approximate the optimal control strategies for invasive rainbow trout conditional on achieving endangered humpback chub adult population abundance goals. Model results indicated that the most cost-effective approach to achieve target adult humpback chub abundance was a high level of rainbow trout control over moderately high rainbow trout population abundance. Adult humpback chub abundance goals were achieved at relatively low rainbow trout abundance and control measures were not cost-effective at relatively high rainbow trout abundance. Our model considered population level dynamics, species interaction and economic costs in a multi-objective decision framework to provide a preferred solution to long-run management of invasive and native species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.01.032","usgsCitation":"Bair, L.S., Yackulic, C.B., Springborn, M.R., Reimer, M.N., Bond, C.A., and Coggins, L.G., 2018, Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA: Biological Conservation, v. 220, p. 12-20, https://doi.org/10.1016/j.biocon.2018.01.032.","productDescription":"9 p.","startPage":"12","endPage":"20","ipdsId":"IP-088418","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468867,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.01.032","text":"Publisher Index Page"},{"id":437969,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K16QPJ","text":"USGS data release","linkHelpText":"Bioeconomic model population data, Grand Canyon, Arizona, USA"},{"id":357075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112,\n 36\n ],\n [\n -111.4013671875,\n 36\n ],\n [\n -111.4013671875,\n 37\n ],\n [\n -112,\n 37\n ],\n [\n -112,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"220","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2e2e4b0702d0e843005","contributors":{"authors":[{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Springborn, Michael R.","contributorId":207552,"corporation":false,"usgs":false,"family":"Springborn","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":37562,"text":"University of California Davis, 1 Shields Avenue Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":744145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reimer, Matthew N.","contributorId":200052,"corporation":false,"usgs":false,"family":"Reimer","given":"Matthew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":744146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Craig A.","contributorId":207553,"corporation":false,"usgs":false,"family":"Bond","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":37563,"text":"RAND Corporation, 1200 S. Hayes St. Arlington, VA, 22202, USA","active":true,"usgs":false}],"preferred":false,"id":744147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coggins, Lewis G.","contributorId":207554,"corporation":false,"usgs":false,"family":"Coggins","given":"Lewis","email":"","middleInitial":"G.","affiliations":[{"id":37564,"text":"U.S. Fish and Wildlife Service, PO Box 346, Bethel, AK, 99559, USA","active":true,"usgs":false}],"preferred":false,"id":744148,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227453,"text":"70227453 - 2018 - Groundwater flow and heat transport for systems undergoing freeze-thaw: Intercomparison of numerical simulators for 2D test cases","interactions":[],"lastModifiedDate":"2022-01-17T14:30:19.192936","indexId":"70227453","displayToPublicDate":"2018-04-01T08:19:48","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater flow and heat transport for systems undergoing freeze-thaw: Intercomparison of numerical simulators for 2D test cases","docAbstract":"In high-elevation, boreal and arctic regions, hydrological processes and associated water bodies can be strongly influenced by the distribution of permafrost. Recent field and modeling studies indicate that a fully-coupled multidimensional thermo-hydraulic approach is required to accurately model the evolution of these permafrost-impacted landscapes and groundwater systems. However, the relatively new and complex numerical codes being developed for coupled non-linear freeze-thaw systems require verification.
This issue is addressed by means of an intercomparison of thirteen numerical codes for two-dimensional test cases with several performance metrics (PMs). These codes comprise a wide range of numerical approaches, spatial and temporal discretization strategies, and computational efficiencies. Results suggest that the codes provide robust results for the test cases considered and that minor discrepancies are explained by computational precision. However, larger discrepancies are observed for some PMs resulting from differences in the governing equations, discretization issues, or in the freezing curve used by some codes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2018.02.001","usgsCitation":"Grenier, C., Anbergen, H., Bense, V.F., Chanzy, Q., Coon, E., Collier, N., Costard, F., Ferry, M., Frampton, A., Frederick, J.M., Goncalves, J., Holmen, J., Jost, A., Kokh, S., Kurylyk, B.L., McKenzie, J.M., Molson, J.W., Mouche, E., Orgogozo, L., Pannetier, R., Riviere, A., Roux, N., Ruhaak, W., Scheidegger, J., Selroos, J., Therrien, R., Vidstrand, P., and Voss, C., 2018, Groundwater flow and heat transport for systems undergoing freeze-thaw: Intercomparison of numerical simulators for 2D test cases: Advances in Water Resources, v. 114, p. 196-218, https://doi.org/10.1016/j.advwatres.2018.02.001.","productDescription":"23 p.","startPage":"196","endPage":"218","ipdsId":"IP-094098","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468868,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-01729631","text":"External Repository"},{"id":394431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grenier, Christophe","contributorId":248640,"corporation":false,"usgs":false,"family":"Grenier","given":"Christophe","email":"","affiliations":[{"id":49963,"text":"Université Paris-Saclay","active":true,"usgs":false}],"preferred":false,"id":830968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anbergen, Hauke","contributorId":271144,"corporation":false,"usgs":false,"family":"Anbergen","given":"Hauke","email":"","affiliations":[{"id":56300,"text":"APS Antriebs-, Prüf- und Steuertechnik GmbH","active":true,"usgs":false}],"preferred":false,"id":830969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":830970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chanzy, Quentin","contributorId":271145,"corporation":false,"usgs":false,"family":"Chanzy","given":"Quentin","email":"","affiliations":[{"id":56301,"text":"ENS Cachan; Université Paris-Saclay","active":true,"usgs":false}],"preferred":false,"id":830971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coon, Ethan","contributorId":271146,"corporation":false,"usgs":false,"family":"Coon","given":"Ethan","email":"","affiliations":[{"id":56302,"text":"LANL,ORNL","active":true,"usgs":false}],"preferred":false,"id":830972,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collier, 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Andrew","contributorId":271150,"corporation":false,"usgs":false,"family":"Frampton","given":"Andrew","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":830976,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Frederick, Jennifer M. 0000-0003-2414-778X","orcid":"https://orcid.org/0000-0003-2414-778X","contributorId":208631,"corporation":false,"usgs":false,"family":"Frederick","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":37851,"text":"Sandia National Laboratories, Albuquerque, New Mexico, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":830977,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Goncalves, Julio","contributorId":271151,"corporation":false,"usgs":false,"family":"Goncalves","given":"Julio","email":"","affiliations":[{"id":56305,"text":"Aix-Marseille University","active":true,"usgs":false}],"preferred":false,"id":830978,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Holmen, Johann","contributorId":271152,"corporation":false,"usgs":false,"family":"Holmen","given":"Johann","email":"","affiliations":[{"id":40562,"text":"Golder Associates","active":true,"usgs":false}],"preferred":false,"id":830979,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jost, Anne","contributorId":271153,"corporation":false,"usgs":false,"family":"Jost","given":"Anne","email":"","affiliations":[{"id":48833,"text":"Sorbonne Universités","active":true,"usgs":false}],"preferred":false,"id":830980,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kokh, Samuel","contributorId":271154,"corporation":false,"usgs":false,"family":"Kokh","given":"Samuel","email":"","affiliations":[{"id":56306,"text":"Maison de la 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Emmanuel","contributorId":271155,"corporation":false,"usgs":false,"family":"Mouche","given":"Emmanuel","email":"","affiliations":[{"id":49963,"text":"Université Paris-Saclay","active":true,"usgs":false}],"preferred":false,"id":830985,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Orgogozo, Laurent","contributorId":271156,"corporation":false,"usgs":false,"family":"Orgogozo","given":"Laurent","email":"","affiliations":[{"id":56307,"text":"Université Toulouse","active":true,"usgs":false}],"preferred":false,"id":830986,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pannetier, Romain","contributorId":271157,"corporation":false,"usgs":false,"family":"Pannetier","given":"Romain","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":830987,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Riviere, Agnes","contributorId":271158,"corporation":false,"usgs":false,"family":"Riviere","given":"Agnes","email":"","affiliations":[{"id":56308,"text":"PSL Research University","active":true,"usgs":false}],"preferred":false,"id":830988,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Roux, Nicolas","contributorId":271159,"corporation":false,"usgs":false,"family":"Roux","given":"Nicolas","email":"","affiliations":[{"id":49963,"text":"Université Paris-Saclay","active":true,"usgs":false}],"preferred":false,"id":830989,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Ruhaak, Wolfram","contributorId":271160,"corporation":false,"usgs":false,"family":"Ruhaak","given":"Wolfram","email":"","affiliations":[{"id":56309,"text":"Federal Institute for Geosciences and Natural Resources (BGR)","active":true,"usgs":false}],"preferred":false,"id":830990,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Scheidegger, Johanna","contributorId":271161,"corporation":false,"usgs":false,"family":"Scheidegger","given":"Johanna","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":830991,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Selroos, Jan-Olof","contributorId":271162,"corporation":false,"usgs":false,"family":"Selroos","given":"Jan-Olof","email":"","affiliations":[{"id":56310,"text":"Swedish Nuclear Fuel and Waste Management Company","active":true,"usgs":false}],"preferred":false,"id":830992,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Therrien, Rene","contributorId":271163,"corporation":false,"usgs":false,"family":"Therrien","given":"Rene","email":"","affiliations":[{"id":56273,"text":"Université Laval","active":true,"usgs":false}],"preferred":false,"id":830993,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Vidstrand, Patrik","contributorId":271164,"corporation":false,"usgs":false,"family":"Vidstrand","given":"Patrik","email":"","affiliations":[{"id":56310,"text":"Swedish Nuclear Fuel and Waste Management Company","active":true,"usgs":false}],"preferred":false,"id":830994,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":830995,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70196846,"text":"70196846 - 2018 - Estimating the effects of wetland conservation practices in croplands: Approaches for modeling in CEAP–Cropland Assessment","interactions":[],"lastModifiedDate":"2018-05-08T12:49:29","indexId":"70196846","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5684,"text":"CEAP-Wetlands Science Note","active":true,"publicationSubtype":{"id":1}},"title":"Estimating the effects of wetland conservation practices in croplands: Approaches for modeling in CEAP–Cropland Assessment","docAbstract":"Quantifying the current and potential benefits of conservation practices can be a valuable tool for encouraging greater practice adoption on agricultural lands. A goal of the CEAP-Cropland Assessment is to estimate the environmental effects of conservation practices that reduce losses (exports) of soil, nutrients, and pesticides from farmlands to streams and rivers. The assessment approach combines empirical data on reported cropland practices with simulation modeling that compares field-level exports for scenarios “with practices” and “without practices.”
Conserved, restored, and created wetlands collectively represent conservation practices that can influence sediment and nutrient exports from croplands. However, modeling the role of wetlands within croplands presents some challenges, including the potential for negative impacts of sediment and nutrient inputs on wetland functions.
This Science Note outlines some preliminary solutions for incorporating wetlands and wetland practices into the CEAP-Cropland modeling framework. First, modeling the effects of wetland practices requires identifying wetland hydrogeomorphic type and accounting for the condition of both the wetland and an adjacent upland zone. Second, modeling is facilitated by classifying wetland-related practices into two functional categories (wetland and upland buffer). Third, simulating practice effects requires alternative field configurations to account for hydrological differences among wetland types. These ideas are illustrated for two contrasting wetland types (riparian and depressional).
","language":"English","publisher":"Natural Resources Conservation Service","usgsCitation":"De Steven, D., and Mushet, D., 2018, Estimating the effects of wetland conservation practices in croplands: Approaches for modeling in CEAP–Cropland Assessment: CEAP-Wetlands Science Note, 6 p.","productDescription":"6 p.","ipdsId":"IP-088659","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":354009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353958,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcseprd1396219.pdf"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf79","contributors":{"authors":[{"text":"De Steven, Diane","contributorId":204688,"corporation":false,"usgs":false,"family":"De Steven","given":"Diane","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":734691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":201803,"corporation":false,"usgs":true,"family":"Mushet","given":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":734690,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196965,"text":"70196965 - 2018 - Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska","interactions":[],"lastModifiedDate":"2018-05-15T16:50:33","indexId":"70196965","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska","docAbstract":"Arctic tundra landscapes are composed of a complex mosaic of patterned ground features, varying in soil moisture, vegetation composition, and surface hydrology over small spatial scales (10–100 m). The importance of microtopography and associated geomorphic landforms in influencing ecosystem structure and function is well founded, however, spatial data products describing local to regional scale distribution of patterned ground or polygonal tundra geomorphology are largely unavailable. Thus, our understanding of local impacts on regional scale processes (e.g., carbon dynamics) may be limited. We produced two key spatiotemporal datasets spanning the Arctic Coastal Plain of northern Alaska (~60,000 km2) to evaluate climate-geomorphological controls on arctic tundra productivity change, using (1) a novel 30 m classification of polygonal tundra geomorphology and (2) decadal-trends in surface greenness using the Landsat archive (1999–2014). These datasets can be easily integrated and adapted in an array of local to regional applications such as (1) upscaling plot-level measurements (e.g., carbon/energy fluxes), (2) mapping of soils, vegetation, or permafrost, and/or (3) initializing ecosystem biogeochemistry, hydrology, and/or habitat modeling.
","language":"English","publisher":"Nature","doi":"10.1038/sdata.2018.58","usgsCitation":"Lara, M.J., Nitze, I., Grosse, G., and McGuire, A.D., 2018, Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska: Scientific Data, v. 5, p. 1-10, https://doi.org/10.1038/sdata.2018.58.","productDescription":"Article number: 180058; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-088497","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2018.58","text":"Publisher Index Page"},{"id":354201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","volume":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf73","contributors":{"authors":[{"text":"Lara, Mark J.","contributorId":194640,"corporation":false,"usgs":false,"family":"Lara","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nitze, Ingmar","contributorId":191057,"corporation":false,"usgs":false,"family":"Nitze","given":"Ingmar","affiliations":[],"preferred":false,"id":735153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":735154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":735151,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198078,"text":"70198078 - 2018 - Monogenetic origin of Ubehebe Crater maar volcano, Death Valley, California: Paleomagnetic and stratigraphic evidence","interactions":[],"lastModifiedDate":"2018-07-13T09:56:43","indexId":"70198078","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monogenetic origin of Ubehebe Crater maar volcano, Death Valley, California: Paleomagnetic and stratigraphic evidence","docAbstract":"Paleomagnetic data for samples collected from outcrops of basaltic spatter at the Ubehebe Crater cluster, Death Valley National Park, California, record a single direction of remanent magnetization indicating that these materials were emplaced during a short duration, monogenetic eruption sequence ~ 2100 years ago. This conclusion is supported by geochemical data encompassing a narrow range of oxide variation, by detailed stratigraphic studies of conformable phreatomagmatic tephra deposits showing no evidence of erosion between layers, by draping of sharp rimmed craters by later tephra falls, and by oxidation of later tephra layers by the remaining heat of earlier spatter. This model is also supported through a reinterpretation and recalculation of the published age results (Sasnett et al., 2012) from an innovative and bold exposure-age study on very young materials. Their conclusion of multiple and protracted eruptions at Ubehebe Crater cluster is here modified through the understanding that some of their quartz-bearing clasts inherited from previous exposure on the fan surface (too old), and that other clasts were only exposed at the surface by wind and/or water erosion centuries after their eruption (too young). Ubehebe Crater cluster is a well preserved example of young monogenetic maar type volcanism protected within a National Park, and it represents neither a protracted eruption sequence as previously thought, nor a continuing volcanic hazard near its location.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.12.018","usgsCitation":"Champion, D.E., Cyr, A.J., Fierstein, J., and Hildreth, E., 2018, Monogenetic origin of Ubehebe Crater maar volcano, Death Valley, California: Paleomagnetic and stratigraphic evidence: Journal of Volcanology and Geothermal Research, v. 354, p. 67-73, https://doi.org/10.1016/j.jvolgeores.2017.12.018.","productDescription":"7 p.","startPage":"67","endPage":"73","ipdsId":"IP-091275","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":355657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Death Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.73223876953124,\n 36.75539006003673\n ],\n [\n -117.08404541015625,\n 36.75539006003673\n ],\n [\n -117.08404541015625,\n 37.22048689588553\n ],\n [\n -117.73223876953124,\n 37.22048689588553\n ],\n [\n -117.73223876953124,\n 36.75539006003673\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"354","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc473e4b0f5d57878ea8e","contributors":{"authors":[{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":739919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":739920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fierstein, Judith 0000-0001-8024-1426 jfierstn@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":147000,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith","email":"jfierstn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":739921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hildreth, Edward 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":146999,"corporation":false,"usgs":true,"family":"Hildreth","given":"Edward","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":739922,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196732,"text":"70196732 - 2018 - Visual cues for woodpeckers: light reflectance of decayed wood varies by decay fungus","interactions":[],"lastModifiedDate":"2018-04-27T13:37:29","indexId":"70196732","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Visual cues for woodpeckers: light reflectance of decayed wood varies by decay fungus","docAbstract":"The appearance of wood substrates is likely relevant to bird species with life histories that require regular interactions with wood for food and shelter. Woodpeckers detect decayed wood for cavity placement or foraging, and some species may be capable of detecting trees decayed by specific fungi; however, a mechanism allowing for such specificity remains unidentified. We hypothesized that decay fungi associated with woodpecker cavity sites alter the substrate reflectance in a species-specific manner that is visually discriminable by woodpeckers. We grew 10 species of wood decay fungi from pure cultures on sterile wood substrates of 3 tree species. We then measured the relative reflectance spectra of decayed and control wood wafers and compared them using the receptor noise-limited (RNL) color discrimination model. The RNL model has been used in studies of feather coloration, egg shells, flowers, and fruit to model how the colors of objects appear to birds. Our analyses indicated 6 of 10 decayed substrate/control comparisons were above the threshold of discrimination (i.e., indicating differences discriminable by avian viewers), and 12 of 13 decayed substrate comparisons were also above threshold for a hypothetical woodpecker. We conclude that woodpeckers should be capable of visually detecting decayed wood on trees where bark is absent, and they should also be able to detect visually species-specific differences in wood substrates decayed by fungi used in this study. Our results provide evidence for a visual mechanism by which woodpeckers could identify and select substrates decayed by specific fungi, which has implications for understanding ecologically important woodpecker–fungus interactions.
","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/16-171.1","usgsCitation":"O’Daniels, S.T., Kesler, D.C., Mihail, J.D., Webb, E.B., and Werner, S.J., 2018, Visual cues for woodpeckers: light reflectance of decayed wood varies by decay fungus: Wilson Journal of Ornithology, v. 130, no. 1, p. 200-212, https://doi.org/10.1676/16-171.1.","productDescription":"213 p.","startPage":"200","endPage":"212","ipdsId":"IP-077115","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf81","contributors":{"authors":[{"text":"O’Daniels, Sean T.","contributorId":191937,"corporation":false,"usgs":false,"family":"O’Daniels","given":"Sean","email":"","middleInitial":"T.","affiliations":[{"id":27683,"text":"Missouri Cooperative Fish and Wildlife Research Unit, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":734171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":734172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mihail, Jeanne D.","contributorId":1842,"corporation":false,"usgs":false,"family":"Mihail","given":"Jeanne","email":"","middleInitial":"D.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":734173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werner, Scott J.","contributorId":27149,"corporation":false,"usgs":false,"family":"Werner","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":734174,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197995,"text":"70197995 - 2018 - Improving near‐real‐time coseismic landslide models: Lessons learned from the 2016 Kaikōura, New Zealand, earthquake","interactions":[],"lastModifiedDate":"2018-07-05T10:23:59","indexId":"70197995","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Improving near‐real‐time coseismic landslide models: Lessons learned from the 2016 Kaikōura, New Zealand, earthquake","docAbstract":"The U.S. Geological Survey (USGS) is developing near‐real‐time global earthquake‐triggered‐landslide products to augment the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system. The 14 November 2016 Mw\">MwMw 7.8 Kaikōura, New Zealand, earthquake provided a test case for evaluating the performance and near‐real‐time response applicability of three published global seismically induced landslide models. All three models obtain shaking estimates from the USGS ShakeMap, which is updated and sometimes changes significantly in the hours to days after an earthquake. The Kaikōura earthquake is a particularly valuable event that helps us better understand how changes to the ShakeMap affect the landslide models because the ShakeMap evolved significantly over several weeks as multifault rupture and seismic data were incorporated. We used the detailed landslide inventory available for this event for qualitative landslide model evaluation. We found that once a point source was replaced with an approximate rupture extent in ShakeMap, the landslide models were all successful at roughly identifying the area of highest hazard. This is notable, given that the models are relatively simple, coarse in resolution, and are based solely on input proxies that are globally available. However, all of the models dramatically overpredicted the hazard level, which indicates that improvements can be made. Subsequent updates to the ShakeMap resulted in improvements to model performance by some metrics and declining performance by others. In all cases, details of the ShakeMap strongly controlled the spatial pattern, even when those details were erroneous, such as the inclusion of a fault segment that did not rupture. If maps of landslide hazard are to be used effectively for rapid response, then we need to understand and clearly communicate the control that ShakeMap has over the models and how that typically evolves with time and is (or is not) reflected in reported uncertainties.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170297","usgsCitation":"Allstadt, K.E., Jibson, R.W., Thompson, E.M., Massey, C., Wald, D.J., Godt, J.W., and Rengers, F.K., 2018, Improving near‐real‐time coseismic landslide models: Lessons learned from the 2016 Kaikōura, New Zealand, earthquake: Bulletin of the Seismological Society of America, v. 108, no. 3B, p. 1649-1664, https://doi.org/10.1785/0120170297.","productDescription":"16 p.","startPage":"1649","endPage":"1664","ipdsId":"IP-093398","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":355498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 172.5,\n -43.5\n ],\n [\n 174.5,\n -43.5\n ],\n [\n 174.5,\n -41.5\n ],\n [\n 172.5,\n -41.5\n ],\n [\n 172.5,\n -43.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"108","issue":"3B","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-27","publicationStatus":"PW","scienceBaseUri":"5b46e5a2e4b060350a15d1ee","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":739524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":739525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":739526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Massey, Chris","contributorId":206127,"corporation":false,"usgs":false,"family":"Massey","given":"Chris","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":739527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":739528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":739529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":739530,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197054,"text":"70197054 - 2018 - Evaluating the conservation potential of tributaries for native fishes in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2018-05-15T15:43:32","indexId":"70197054","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the conservation potential of tributaries for native fishes in the Upper Colorado River Basin","docAbstract":"We explored the conservation potential of tributaries in the upper Colorado River basin by modeling native fish species richness as a function of river discharge, temperature, barrier‐free length, and distance to nearest free‐flowing main‐stem section. We investigated a historic period prior to large‐scale water development and a contemporary period. In the historic period, species richness was log‐linearly correlated to variables capturing flow magnitude, particularly mean annual discharge. In the contemporary period, the log‐linear relationship between discharge and species richness was still evident but weaker. Tributaries with lower average temperature and separated from free‐flowing main‐stem sections often had fewer native species compared to tributaries with similar discharge but with warmer temperature and directly connected to free‐flowing main stems. Thus, tributaries containing only a small proportion of main‐stem discharge, especially those at lower elevations with warmer temperatures and connected to free‐flowing main stems, can support a relatively high species richness. Tributaries can help maintain viable populations by providing ecological processes disrupted on large regulated rivers, such as natural flow and temperature regimes, and may present unique conservation opportunities. Efforts to improve fish passage, secure environmental flows, and restore habitat in these tributaries could greatly contribute to conservation of native fish richness throughout the watershed.
","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10054","usgsCitation":"Laub, B.G., Thiede, G.P., Macfarlane, W.W., and Budy, P., 2018, Evaluating the conservation potential of tributaries for native fishes in the Upper Colorado River Basin: Fisheries Magazine, v. 43, no. 4, p. 194-206, https://doi.org/10.1002/fsh.10054.","productDescription":"13 p.","startPage":"194","endPage":"206","ipdsId":"IP-081178","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","volume":"43","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-11","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf71","contributors":{"authors":[{"text":"Laub, Brian G.","contributorId":198569,"corporation":false,"usgs":false,"family":"Laub","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":735385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiede, Gary P.","contributorId":9154,"corporation":false,"usgs":true,"family":"Thiede","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":735386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macfarlane, William W.","contributorId":204899,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":735387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735384,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}