Injecting CO2 into depleted oil reservoirs to extract additional crude oil is a common enhanced oil recovery (CO2-EOR) technique. However, little is known about how in situ microbial communities may be impacted by CO2 flooding, or if any permanent microbiological changes occur after flooding has ceased. Formation water was collected from an oil field that was flooded for CO2-EOR in the 1980s, including samples from areas affected by or outside of the flood region, to determine the impacts of CO2-EOR on reservoir microbial communities. Archaea, specifically methanogens, were more abundant than bacteria in all samples, while identified bacteria exhibited much greater diversity than the archaea. Microbial communities in CO2-impacted and non-impacted samples did not significantly differ (ANOSIM: Statistic R = -0.2597, significance = 0.769). However, several low abundance bacteria were found to be significantly associated with the CO2-affected group; very few of these species are known to metabolize CO2 or are associated with CO2-rich habitats. Although this study had limitations, on a broad scale, either the CO2 flood did not impact the microbial community composition of the target formation, or microbial communities in affected wells may have reverted back to pre-injection conditions over the ca. 40 years since the CO2-EOR.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/femsec/fiy153","usgsCitation":"Shelton, J., Andrews, R.S., Akob, D., DeVera, C.A., Mumford, A.C., McCray, J.E., and McIntosh, J.C., 2018, Microbial community composition of a hydrocarbon reservoir 40 years after a CO2 enhanced oil recovery flood: FEMS Microbiology Ecology, v. 94, no. 10, p. 1-11, https://doi.org/10.1093/femsec/fiy153.","productDescription":"fiy153; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-096230","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468400,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/femsec/fiy153","text":"Publisher Index Page"},{"id":357325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.25,\n 31.77\n ],\n [\n -92.2,\n 31.77\n ],\n [\n -92.2,\n 31.83\n ],\n [\n -92.25,\n 31.83\n ],\n [\n -92.25,\n 31.77\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"94","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-07","publicationStatus":"PW","scienceBaseUri":"5bc02f9fe4b0fc368eb53917","contributors":{"authors":[{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":744935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Robert S. 0000-0002-6166-720X","orcid":"https://orcid.org/0000-0002-6166-720X","contributorId":204981,"corporation":false,"usgs":true,"family":"Andrews","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":744936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":744937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeVera, Christina A. 0000-0002-4691-6108 cdevera@usgs.gov","orcid":"https://orcid.org/0000-0002-4691-6108","contributorId":3845,"corporation":false,"usgs":true,"family":"DeVera","given":"Christina","email":"cdevera@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":744938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":197795,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":744939,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCray, John E.","contributorId":169186,"corporation":false,"usgs":false,"family":"McCray","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":744940,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McIntosh, Jennifer C. 0000-0001-5055-4202","orcid":"https://orcid.org/0000-0001-5055-4202","contributorId":150557,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":744941,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199227,"text":"70199227 - 2018 - Exploring the amphibian exposome in an agricultural landscape using telemetry and passive sampling","interactions":[],"lastModifiedDate":"2018-09-13T16:42:19","indexId":"70199227","displayToPublicDate":"2018-09-13T16:42:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the amphibian exposome in an agricultural landscape using telemetry and passive sampling","docAbstract":"This is the first field study of its kind to combine radio telemetry, passive samplers, and pesticide accumulation in tissues to characterize the amphibian exposome as it relates to pesticides. Understanding how habitat drives exposure in individuals (i.e., their exposome), and how that relates to individual health is critical to managing species in an agricultural landscape where pesticide exposure is likely. We followed 72 northern leopard frogs (Lithobates pipiens) in two agricultural wetlands for insight into where and when individuals are at high risk of pesticide exposure. Novel passive sampling devices (PSDs) were deployed at sites where telemetered frogs were located, then moved to subsequent locations as frogs were radio-tracked. Pesticide concentration in PSDs varied by habitat and was greatest in agricultural fields where frogs were rarely found. Pesticide concentrations in frogs were greatest in spring when frogs were occupying wetlands compared to late summer when frogs occupied terrestrial habitats. Our results indicate that habitat and time of year influence exposure and accumulation of pesticides in amphibians. Our study illustrates the feasibility of quantifying the amphibian exposome to interpret the role of habitat use in pesticide accumulation in frogs to better manage amphibians in agricultural landscapes.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-28132-3","usgsCitation":"Swanson, J.E., Muths, E.L., Pierce, C., Dinsmore, S.J., Vandever, M.W., Hladik, M., and Smalling, K.L., 2018, Exploring the amphibian exposome in an agricultural landscape using telemetry and passive sampling: Scientific Reports, v. 8, p. 1-10, https://doi.org/10.1038/s41598-018-28132-3.","productDescription":"Article number: 10045; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-094991","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468401,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-28132-3","text":"Publisher Index Page"},{"id":357298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-03","publicationStatus":"PW","scienceBaseUri":"5bc02f9fe4b0fc368eb53919","contributors":{"authors":[{"text":"Swanson, Jennifer E.","contributorId":140894,"corporation":false,"usgs":false,"family":"Swanson","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":744909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":744795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":744796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dinsmore, Stephen J.","contributorId":203855,"corporation":false,"usgs":false,"family":"Dinsmore","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":744797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":744798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744800,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199257,"text":"70199257 - 2018 - Toward salt marsh harvest mouse recovery: A review","interactions":[],"lastModifiedDate":"2018-09-13T16:41:35","indexId":"70199257","displayToPublicDate":"2018-09-13T16:41:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Toward salt marsh harvest mouse recovery: A review","docAbstract":"The salt marsh harvest mouse (SMHM, Reithrodontomys raviventris) is an endangered species, endemic to the San Francisco Estuary. Despite being protected for almost half a century and being included in a large number of recovery, restoration, and management plans, significant data gaps hinder conservation and management of the species, a challenge further complicated by developing threats such as climate change. In this review, we present the current state of knowledge; highlight research gaps on habitat requirements and distribution, taxonomic status and genetic structure, physiology, reproduction and demographics, population dynamics, and behavior and community interactions; and present an overview of threats to the species. Our review indicates that substantial data gaps exist; although some aspects of SMHM ecology, such as habitat use, have been addressed extensively, others, such as the effects of environmental contamination, are largely unaddressed. We suggest that conservation and restoration-planning processes consider experimental approaches within restoration designs to address these deficiencies. Continued investment in basic and applied SMHM ecology to collect baseline and long-term data will also be beneficial. Additionally, further coordination among managers and researchers can facilitate more effective responses to uncertainties and emerging threats, especially climate change, which threatens the SMHM and its habitat throughout its range.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2018v16iss2art2","usgsCitation":"Smith, K.R., Riley, M.K., Barthman-Thompson, L., Woo, I., Statham, M.J., Estrella, S., and Kelt, D.A., 2018, Toward salt marsh harvest mouse recovery: A review: San Francisco Estuary and Watershed Science, v. 16, no. 2, Article 2; 24 p., https://doi.org/10.15447/sfews.2018v16iss2art2.","productDescription":"Article 2; 24 p.","ipdsId":"IP-097923","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468402,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2018v16iss2art2","text":"Publisher Index Page"},{"id":357297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-28","publicationStatus":"PW","scienceBaseUri":"5bc02f9fe4b0fc368eb5391b","contributors":{"authors":[{"text":"Smith, Katherine R.","contributorId":207840,"corporation":false,"usgs":false,"family":"Smith","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":744863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riley, Melissa K.","contributorId":207841,"corporation":false,"usgs":false,"family":"Riley","given":"Melissa","email":"","middleInitial":"K.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":744864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barthman-Thompson, Laureen","contributorId":207842,"corporation":false,"usgs":false,"family":"Barthman-Thompson","given":"Laureen","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":744865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Statham, Mark J.","contributorId":207843,"corporation":false,"usgs":false,"family":"Statham","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":37642,"text":"University of California,Davis","active":true,"usgs":false}],"preferred":false,"id":744866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Estrella, Sarah","contributorId":207844,"corporation":false,"usgs":false,"family":"Estrella","given":"Sarah","email":"","affiliations":[{"id":12939,"text":"California Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":744867,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kelt, Douglas A.","contributorId":207845,"corporation":false,"usgs":false,"family":"Kelt","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":744868,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199258,"text":"70199258 - 2018 - Exotic invasive Pomacea maculata (Giant Apple Snail) will depredate eggs of frog and toad species of the Southeastern US","interactions":[],"lastModifiedDate":"2018-09-13T16:38:03","indexId":"70199258","displayToPublicDate":"2018-09-13T16:38:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exotic invasive Pomacea maculata (Giant Apple Snail) will depredate eggs of frog and toad species of the Southeastern US","title":"Exotic invasive Pomacea maculata (Giant Apple Snail) will depredate eggs of frog and toad species of the Southeastern US","docAbstract":"Pomacea maculata (Perry) (Giant Apple Snail) is a freshwater snail native to South America (Hayes et al. 2015) that is an invasive species in the freshwater wetlands and waterways of the northern Gulf of Mexico, peninsular Florida (Benson 2017, Burks 2017) and globally (Hayes et al. 2015). Karraker and Dudgeon (2014) found that Pomacea canaliculata (Lamarck) (Channeled Apple Snail) opportunistically ate frog eggs. The Giant Apple Snail is a sister species to the Channeled Apple Snail and shares similar life-history attributes (Hayes et al. 2015). However, the literature indicates that Giant Apple Snail is presumed to be an herbivore (e.g., Burke et al. 2017, Burlakova et al. 2009). Will Giant Apple Snail eat amphibian eggs? If they do, they could have a negative impact on anuran populations throughout their introduced range. In this study, we presented Giant Apple Snails with frog and toad eggs to determine if they would eat them.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.017.0313","usgsCitation":"Carter, J., Johnson, D., and Merino, S., 2018, Exotic invasive Pomacea maculata (Giant Apple Snail) will depredate eggs of frog and toad species of the Southeastern US: Southeastern Naturalist, v. 17, no. 3, p. 470-475, https://doi.org/10.1656/058.017.0313.","productDescription":"6 p.","startPage":"470","endPage":"475","ipdsId":"IP-090217","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437756,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74T6HK7","text":"USGS data release","linkHelpText":"Exotic invasive giant apple snails (Pomacea maculata) will depredate eggs of frog and toad species of the Southeastern United States"},{"id":357296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","scienceBaseUri":"5bc02fa0e4b0fc368eb5391d","contributors":{"authors":[{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":744869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":205688,"corporation":false,"usgs":false,"family":"Johnson","given":"Darren","affiliations":[{"id":37106,"text":"Cherokee Nation","active":true,"usgs":false}],"preferred":false,"id":744871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merino, Sergio 0000-0002-2834-2243 merinos@usgs.gov","orcid":"https://orcid.org/0000-0002-2834-2243","contributorId":3653,"corporation":false,"usgs":true,"family":"Merino","given":"Sergio","email":"merinos@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":744870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199263,"text":"70199263 - 2018 - Aquatic vegetation responses to island construction (habitat restoration) in a large floodplain river","interactions":[],"lastModifiedDate":"2018-09-13T16:14:01","indexId":"70199263","displayToPublicDate":"2018-09-13T16:13:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic vegetation responses to island construction (habitat restoration) in a large floodplain river","docAbstract":"The Upper Mississippi River is maintained in its current navigable state through impoundments, dredging, and other engineering projects. These stressors, along with anthropogenic impacts and natural system processes, led to declines in aquatic vegetation and the loss of fish and wildlife habitat, with a major downturn the late 1980s and early 1990s. Large‐scale restoration projects, such as the one evaluated here, are primarily designed to rehabilitate and enhance fish and wildlife habitat. We determined whether an individual restoration project, construction of an island complex, fulfilled a programmatic goal of re‐establishing diverse and abundant native aquatic vegetation. Eighteen years of aquatic vegetation monitoring data from impact and reference areas were compared to evaluate the anticipated direct effects (within 400 m of the constructed islands) and indirect effects (>400 m downstream of constructed islands) of restoration. Impact areas were also compared with an unrestored negative reference area ~200 km downstream of the project and with a positive reference area in adjacent, relatively natural backwaters. Only indirect effects of restoration were evident. Prevalence and species richness of aquatic vegetation in both of the impact areas and in the negative reference area increased prior to restoration, suggesting large‐scale improvement independent of the project examined here. Indirect effects were demonstrated as further increases in both prevalence and species richness coinciding with restoration in the area >400 m downstream of the restoration. We conclude that increased abundance and diversity of aquatic vegetation was partially achieved, with observed improvements potentially linked to reduced wind fetch.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3307","usgsCitation":"Drake, D.C., Gray, B.R., and Forbes, N., 2018, Aquatic vegetation responses to island construction (habitat restoration) in a large floodplain river: River Research and Applications, v. 34, no. 7, p. 765-776, https://doi.org/10.1002/rra.3307.","productDescription":"12 p.","startPage":"765","endPage":"776","ipdsId":"IP-087889","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":357294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-20","publicationStatus":"PW","scienceBaseUri":"5bc02fa0e4b0fc368eb5391f","contributors":{"authors":[{"text":"Drake, Deanne C.","contributorId":207846,"corporation":false,"usgs":false,"family":"Drake","given":"Deanne","email":"","middleInitial":"C.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":744885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":744884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forbes, Nora","contributorId":207847,"corporation":false,"usgs":false,"family":"Forbes","given":"Nora","email":"","affiliations":[{"id":37643,"text":"University of Minnesota-Twin Cities","active":true,"usgs":false}],"preferred":false,"id":744886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199275,"text":"70199275 - 2018 - Radiocarbon chronometry of Site QJ-280, Quebrada Jaguay, a terminal Pleistocene to early Holocene fishing site in southern Peru","interactions":[],"lastModifiedDate":"2019-08-16T06:28:01","indexId":"70199275","displayToPublicDate":"2018-09-13T16:06:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2363,"text":"Journal of Island and Coastal Archaeology","active":true,"publicationSubtype":{"id":10}},"title":"Radiocarbon chronometry of Site QJ-280, Quebrada Jaguay, a terminal Pleistocene to early Holocene fishing site in southern Peru","docAbstract":"Excavations in 1970, 1996, and 1999 at Site QJ-280, Quebrada Jaguay, in southern Peru, yielded enough dateable terrestrial plant material to establish an extensive radiocarbon chronology for the site. QJ-280 is one of oldest well-dated fishing sites in the Americas: it was occupied from the terminal Pleistocene to the mid-Holocene (about 13,000–8,300 calibrated years BP) based on 42 terrestrial radiocarbon dates, encompassing the Jaguay and Machas Phases of the local archaeological sequence. In addition to the terrestrial dates, radiocarbon measurements on valves of two marine surf clam (Mesodesma donacium) individuals from a single, well-dated mid-Holocene Manos Phase archaeological context have provided insight into marine upwelling conditions during the occupation of Quebrada Jaguay. The marine reservoir age varied between 130 and 730 14C years during the brief lives of the two clams (up to 5 years each), and varied by up to 530 14C years within an individual valve, suggesting strong and variable deep marine upwelling; conditions broadly similar to those that exist in coastal Peru today. These rapid variations in marine radiocarbon age suggest that marine radiocarbon dates from environments with variable upwelling could be skewed by up to hundreds of years.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15564894.2017.1338316","usgsCitation":"Jones, K.B., Hodgins, G.W., and Sandweiss, D.H., 2018, Radiocarbon chronometry of Site QJ-280, Quebrada Jaguay, a terminal Pleistocene to early Holocene fishing site in southern Peru: Journal of Island and Coastal Archaeology, v. 14, no. 1, p. 82-100, https://doi.org/10.1080/15564894.2017.1338316.","productDescription":"19 p.","startPage":"82","endPage":"100","ipdsId":"IP-083259","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-69.59042,-17.58001],[-69.85844,-18.09269],[-70.37257,-18.34798],[-71.37525,-17.7738],[-71.46204,-17.36349],[-73.44453,-16.35936],[-75.23788,-15.26568],[-76.00921,-14.64929],[-76.42347,-13.82319],[-76.25924,-13.53504],[-77.10619,-12.22272],[-78.09215,-10.37771],[-79.03695,-8.38657],[-79.44592,-7.93083],[-79.76058,-7.19434],[-80.53748,-6.54167],[-81.25,-6.13683],[-80.92635,-5.69056],[-81.41094,-4.73676],[-81.09967,-4.03639],[-80.30256,-3.40486],[-80.18401,-3.82116],[-80.46929,-4.05929],[-80.44224,-4.42572],[-80.02891,-4.34609],[-79.62498,-4.4542],[-79.20529,-4.95913],[-78.6399,-4.54778],[-78.45068,-3.8731],[-77.8379,-3.00302],[-76.63539,-2.60868],[-75.545,-1.56161],[-75.23372,-0.91142],[-75.37322,-0.15203],[-75.10662,-0.05721],[-74.4416,-0.53082],[-74.1224,-1.00283],[-73.6595,-1.26049],[-73.07039,-2.30895],[-72.32579,-2.43422],[-71.77476,-2.16979],[-71.41365,-2.3428],[-70.81348,-2.25686],[-70.04771,-2.72516],[-70.69268,-3.74287],[-70.39404,-3.76659],[-69.89364,-4.29819],[-70.79477,-4.25126],[-70.92884,-4.40159],[-71.74841,-4.59398],[-72.89193,-5.27456],[-72.96451,-5.74125],[-73.21971,-6.08919],[-73.12003,-6.62993],[-73.72449,-6.9186],[-73.7234,-7.341],[-73.98724,-7.52383],[-73.57106,-8.42445],[-73.01538,-9.03283],[-73.22671,-9.46221],[-72.56303,-9.52019],[-72.18489,-10.0536],[-71.30241,-10.07944],[-70.48189,-9.49012],[-70.54869,-11.00915],[-70.09375,-11.12397],[-69.52968,-10.95173],[-68.66508,-12.5613],[-68.88008,-12.89973],[-68.92922,-13.60268],[-68.94889,-14.45364],[-69.33953,-14.9532],[-69.16035,-15.32397],[-69.38976,-15.66013],[-68.95964,-16.5007],[-69.59042,-17.58001]]]},\"properties\":{\"name\":\"Peru\"}}]}","volume":"14","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-28","publicationStatus":"PW","scienceBaseUri":"5bc02fa0e4b0fc368eb53921","contributors":{"authors":[{"text":"Jones, Kevin B. 0000-0002-6386-2623 kevinjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-2623","contributorId":565,"corporation":false,"usgs":true,"family":"Jones","given":"Kevin","email":"kevinjones@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":744894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgins, Gregory W. L.","contributorId":67787,"corporation":false,"usgs":false,"family":"Hodgins","given":"Gregory","email":"","middleInitial":"W. L.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":744895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sandweiss, Daniel H. 0000-0002-9984-8831","orcid":"https://orcid.org/0000-0002-9984-8831","contributorId":207848,"corporation":false,"usgs":false,"family":"Sandweiss","given":"Daniel","email":"","middleInitial":"H.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":744896,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199246,"text":"70199246 - 2018 - Population history provides foundational knowledge for utilizing and developing native plant restoration materials","interactions":[],"lastModifiedDate":"2018-11-14T09:21:11","indexId":"70199246","displayToPublicDate":"2018-09-13T15:46:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Population history provides foundational knowledge for utilizing and developing native plant restoration materials","docAbstract":"A species’ population structure and history are critical pieces of information that can help guide the use of available native plant materials in restoration treatments and decide what new native plant materials should be developed to meet future restoration needs. In the western United States, Pseudoroegneria spicata (bluebunch wheatgrass; Poaceae) is an important component of grassland and shrubland plant communities and commonly used for restoration due to its drought resistance and competitiveness with exotic weeds. We used next‐generation sequencing data to investigate the processes that shaped P. spicata's geographic pattern of genetic variation across the Intermountain West. Pseudoroegneria spicata's genetic diversity is partitioned into populations that likely differentiated since the Last Glacial Maximum. Adjacent populations display varying magnitudes of historical gene flow, with migration rates ranging from multiple migrants per generation to multiple generations per migrant. When considering the commercial germplasm sources available for restoration, genetic identities remain representative of the wildland localities from which germplasm sources were originally developed, and they maintain high levels of heterozygosity and nucleotide diversity. However, the commercial germplasm sources represent a small fraction of the overall genetic diversity of P. spicata in the Intermountain West. Given the low migration rates and long divergence times between some pairs of P. spicata populations, using commercial germplasm sources could facilitate undesirable restoration outcomes when used in certain geographic areas, even if the environment in which the commercial materials thrive is similar to that of the restoration site. As such, population structure and history can be used to provide guidance on what geographic areas may need additional native plant materials so that restoration efforts support species and community resilience and improve outcomes.
","language":"English","publisher":"Wiley","doi":"10.1111/eva.12704","usgsCitation":"Massatti, R., Prendeville, H.R., Larson, S., Richardson, B.A., Waldron, B., and Kilkenny, F.F., 2018, Population history provides foundational knowledge for utilizing and developing native plant restoration materials: Evolutionary Applications, v. 11, no. 10, p. 2025-2039, https://doi.org/10.1111/eva.12704.","productDescription":"15 p.","startPage":"2025","endPage":"2039","ipdsId":"IP-096813","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12704","text":"Publisher Index Page"},{"id":357286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Staets","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4755859375,\n 37.82280243352756\n ],\n [\n -108.984375,\n 37.82280243352756\n ],\n [\n -108.984375,\n 48.99463598353405\n ],\n [\n -122.4755859375,\n 48.99463598353405\n ],\n [\n -122.4755859375,\n 37.82280243352756\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-24","publicationStatus":"PW","scienceBaseUri":"5bc02fa0e4b0fc368eb53923","contributors":{"authors":[{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prendeville, Holly R.","contributorId":207817,"corporation":false,"usgs":false,"family":"Prendeville","given":"Holly","email":"","middleInitial":"R.","affiliations":[{"id":37638,"text":"U.S.D.A. Forest Service Pacific Northwest Research Station, Corvallis, OR 97331 USA","active":true,"usgs":false}],"preferred":false,"id":744806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Steve","contributorId":207818,"corporation":false,"usgs":false,"family":"Larson","given":"Steve","email":"","affiliations":[{"id":37639,"text":"U.S.D.A. Agricultural Research Service, Logan, UT 84322 USA","active":true,"usgs":false}],"preferred":false,"id":744807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Bryce A.","contributorId":207820,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","middleInitial":"A.","affiliations":[{"id":37640,"text":"U.S.D.A. Forest Service Rocky Mountain Research Station, Provo, UT, 84606 USA","active":true,"usgs":false}],"preferred":false,"id":744809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldron, Blair","contributorId":207819,"corporation":false,"usgs":false,"family":"Waldron","given":"Blair","email":"","affiliations":[{"id":37639,"text":"U.S.D.A. Agricultural Research Service, Logan, UT 84322 USA","active":true,"usgs":false}],"preferred":false,"id":744808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilkenny, Francis F.","contributorId":191031,"corporation":false,"usgs":false,"family":"Kilkenny","given":"Francis","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":744810,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199661,"text":"70199661 - 2018 - A direct-push freezing core barrel for sampling unconsolidated subsurface sediments and adjacent pore fluids","interactions":[],"lastModifiedDate":"2018-09-24T13:30:02","indexId":"70199661","displayToPublicDate":"2018-09-13T13:29:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"A direct-push freezing core barrel for sampling unconsolidated subsurface sediments and adjacent pore fluids","docAbstract":"Contaminants passing through the unsaturated zone can undergo changes in narrow reaction zones upon reaching saturated sediments. Understanding these reactions requires sampling of sediment together with adjacent water and microbes in a manner that preserves in situ redox conditions. Use of a basket-type core catcher for saturated, noncohesive sediments results in redistribution or loss of fluids during sample retrieval. Previously developed sample-freezing drive shoes for hollow-stem auger drilling rigs lessened fluid redistribution and retained all material that entered the core barrel in noncohesive sediment cores by freezing the base of the core with liquid CO2. This technology has not previously been compatible with direct-push rigs that are commonly used for contaminated site assessments. Here, we describe a freezing core barrel designed for direct-push rigs that is compatible with commercially available tool strings. The device can be used interchangeably with unsaturated-zone direct-push tool strings, enabling core collection for studies of contaminant transport and transformation spanning unsaturated to saturated profiles. In all 10 attempts during testing near Bemidji, MN, the device froze a 10- to 15-cm (4–6-in) plug that retained fluids and sediments in a 1.2-m (4-ft)-long, 5.0-cm (2.0-in)-diameter polyvinyl chloride (PVC) sleeve. Cores were collected from variably saturated sediments spanning the capillary fringe through the upper 2 m of the saturated zone in sandy glacial outwash sediments. The median recovery was 81% of the drive length, similar to a sample-freezing drive shoe developed for a wire-line piston core sampler operated with a hollow-stem auger drill rig.
","language":"English","publisher":"Vadose Zone Journal","doi":"10.2136/vzj2018.02.0037","usgsCitation":"Trost, J.J., Christy, T.M., and Bekins, B.A., 2018, A direct-push freezing core barrel for sampling unconsolidated subsurface sediments and adjacent pore fluids: Vadose Zone Journal, v. 17, no. 1, p. 1-10, https://doi.org/10.2136/vzj2018.02.0037.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-094561","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":468404,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.02.0037","text":"Publisher Index Page"},{"id":357685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-13","publicationStatus":"PW","scienceBaseUri":"5bc02fa1e4b0fc368eb53927","contributors":{"authors":[{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christy, Thomas M.","contributorId":208144,"corporation":false,"usgs":false,"family":"Christy","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":37756,"text":"Geoprobe Systems","active":true,"usgs":false}],"preferred":false,"id":746109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions 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":746110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227947,"text":"70227947 - 2018 - A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies","interactions":[],"lastModifiedDate":"2023-07-24T18:21:04.356707","indexId":"70227947","displayToPublicDate":"2018-09-13T10:28:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies","docAbstract":"The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2016: a streamlined process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2016 production. The performance of the developed strategies and methods were tested in twenty World Reference System-2 path/row throughout the conterminous U.S. An overall agreement ranging from 71% to 97% between land cover classification and reference data was achieved for all tested area and all years. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2016 operational mapping.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2018.09.006","usgsCitation":"Yang, L., Jin, S., Danielson, P., Homer, C., Gass, L., Bender, S.M., Case, A., Costello, C., Dewitz, J., Fry, J., Funk, M., Granneman, B.J., Liknes, G.C., Rigge, M.B., and Xian, G.Z., 2018, A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies: ISPRS Journal of Photogrammetry and Remote Sensing, v. 146, p. 108-123, https://doi.org/10.1016/j.isprsjprs.2018.09.006.","productDescription":"16 p.; Data release","startPage":"108","endPage":"123","ipdsId":"IP-098281","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468406,"rank":5,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2018.09.006","text":"Publisher Index Page"},{"id":437757,"rank":4,"type":{"id":30,"text":"Data 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0000-0002-2772-2041","orcid":"https://orcid.org/0000-0002-2772-2041","contributorId":223239,"corporation":false,"usgs":true,"family":"Funk","given":"Michelle","email":"","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":832665,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Granneman, Brian J. 0000-0002-1910-0955","orcid":"https://orcid.org/0000-0002-1910-0955","contributorId":273180,"corporation":false,"usgs":true,"family":"Granneman","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":832666,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liknes, Greg C","contributorId":273181,"corporation":false,"usgs":false,"family":"Liknes","given":"Greg","email":"","middleInitial":"C","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":832667,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":832668,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":832669,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70216329,"text":"70216329 - 2018 - Use of landscape simulation modeling to quantify resilience for ecological applications","interactions":[],"lastModifiedDate":"2020-11-12T13:32:54.085508","indexId":"70216329","displayToPublicDate":"2018-09-13T07:30:05","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Use of landscape simulation modeling to quantify resilience for ecological applications","docAbstract":"Goals of fostering ecological resilience are increasingly used to guide U.S. public land management in the context of anthropogenic climate change and increasing landscape disturbances. There are, however, few operational means of assessing the resilience of a landscape or ecosystem. We present a method to evaluate resilience using simulation modeling. In this method, we use historical conditions (e.g., in North America, prior to European settlement), quantified using simulation modeling, to provide a comparative reference for contemporary conditions, where substantial departures indicate loss of resilience. Contemporary ecological conditions are compared statistically to the historical time series to create a resilience index, which can be used to prioritize landscapes for treatment and inform possible treatments. However, managing for resilience based on historical conditions is tenuous in the Anthropocene, which is characterized by rapid climate change, extensive human land use, altered disturbance regimes, and exotic species introductions. To account for the future variability of ecosystems resulting from climate and disturbance regime shifts, we augment historical simulations with simulations of ecosystem dynamics under projected climate and land use changes to assess the degree of departure from benchmark historical conditions. We use a mechanistic landscape model (FireBGCv2) applied to a large landscape in western Montana, USA, to illustrate the methods presented in this paper. Spatially explicit ecosystem modeling provides the vehicle to generate the historical and future time series needed to quantify potential resilience conditions associated with past and potential future conditions. Our methods show that given selection of a useful set of metrics, managers could use simulations like ours to evaluate potential future management directions.
Warming temperatures associated with climate change can have indirect effects on migratory birds that rely on seasonally available food resources and habitats that vary across spatial and temporal scales. We used two heat-based indices of spring onset, the First Leaf Index (FLI) and the First Bloom Index (FBI), as proxies of habitat change for the period 1901 to 2012 at three spatial scales: the US National Wildlife Refuge System; the four major bird migratory flyways in North America; and the seasonal ranges (i.e., breeding and non-breeding grounds) of two migratory bird species, Blue-winged Warbler (Vermivora cyanoptera) and Whooping Crane (Grus americana). Our results show that relative to the historical range of variability, the onset of spring is now earlier in 76% of all wildlife refuges and extremely early (i.e., exceeding 95% of historical conditions) in 49% of refuges. In all flyways but the Pacific, the rate of spring advance is generally greater at higher latitudes than at lower latitudes. This differential rate of advance in spring onset is most pronounced in the Atlantic flyway, presumably because of a “warming hole” in the southeastern US. Both FLI and FBI have advanced markedly in the breeding ranges–but not the non-breeding ranges–of the two selected bird species, albeit with considerable intra-range variation. Differences among species in terms of migratory patterns and the location and extent of seasonal habitats, as well as shifts in habitat conditions over time, may complicate predictions of the vulnerability of migratory birds to climate change effects. This study provides insight into how differential shifts in the phenology of disparate but linked habitats could inform local- to landscape-scale management strategies for the conservation of migratory bird populations.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0202495","usgsCitation":"Waller, E.K., Crimmins, T.M., Walker, J., Posthumus, E.E., and Weltzin, J., 2018, Differential changes in the onset of spring across US National Wildlife Refuges and North American migratory bird flyways: PLoS ONE, v. 13, no. 9, p. 1-24, https://doi.org/10.1371/journal.pone.0202495.","productDescription":"e0202495; 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-094003","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":468408,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0202495","text":"Publisher Index Page"},{"id":357290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-12","publicationStatus":"PW","scienceBaseUri":"5bc02fa1e4b0fc368eb53929","contributors":{"authors":[{"text":"Waller, Eric K. 0000-0002-9169-9210","orcid":"https://orcid.org/0000-0002-9169-9210","contributorId":203496,"corporation":false,"usgs":true,"family":"Waller","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":744839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crimmins, Theresa M.","contributorId":178236,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":744840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Jessica J. 0000-0002-3225-0317","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":207373,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":744841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Posthumus, Erin E. 0000-0003-3855-2380","orcid":"https://orcid.org/0000-0003-3855-2380","contributorId":204418,"corporation":false,"usgs":false,"family":"Posthumus","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":40537,"text":"USA National Phenology Network, National Coordinating Office; University of Arizona, School of Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":744842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":744843,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198636,"text":"fs20183051 - 2018 - Assessment of continuous gas resources of the North Caspian Basin Province, Kazakhstan and Russia, 2018","interactions":[],"lastModifiedDate":"2018-09-13T11:10:17","indexId":"fs20183051","displayToPublicDate":"2018-09-12T15:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3051","title":"Assessment of continuous gas resources of the North Caspian Basin Province, Kazakhstan and Russia, 2018","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 84.5 trillion cubic feet of continuous gas in the North Caspian Basin Province of Kazakhstan and Russia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183051","usgsCitation":"Schenk, C.J., Mercier, T.J., Finn, T.M., Tennyson, M.E., Le, P.A., Brownfield, M.E., Marra, K.R., Gaswirth, S.B., Leathers-Miller, H.M., and Drake, R.M., II, 2018, Assessment of continuous gas resources of the North Caspian Basin Province, Kazakhstan and Russia, 2018: U.S. Geological Survey Fact Sheet 2018–3051, 2 p., https://doi.org/10.3133/fs20183051.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-097964","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357238,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3051/coverthb.jpg"},{"id":357239,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3051/fs20183051.pdf","text":"Report","size":"712 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3051"}],"country":"Kazakhstan, Russia","otherGeospatial":"North Caspian Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 43.5,\n 45\n ],\n [\n 58,\n 45\n ],\n [\n 58,\n 52\n ],\n [\n 43.5,\n 52\n ],\n [\n 43.5,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 1.4 billion barrels of oil and 46 trillion cubic feet of gas in the Timan-Pechora Basin Province of Russia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183050","usgsCitation":"Schenk, C.J., Mercier, T.J., Pitman, J.K., Le, P.A., Tennyson, M.E., Brownfield, M.E., Marra, K.R., Leathers-Miller, H.M., Drake, R.M., II, and Klett, T.R., 2018, Assessment of continuous oil and gas resources of the Timan-Pechora Basin Province, Russia, 2018: U.S. Geological Survey Fact Sheet 2018–3050, 2 p., https://doi.org/10.3133/fs20183050.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-097417","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357237,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3050/fs20183050.pdf","text":"Report","size":"728 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3050"},{"id":357236,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3050/coverthb.jpg"}],"country":"Russia","otherGeospatial":"Timan-Pechora Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 42,\n 58\n ],\n [\n 65,\n 58\n ],\n [\n 65,\n 71\n ],\n [\n 42,\n 71\n ],\n [\n 42,\n 58\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Large intraplate earthquakes in oceanic lithosphere are rare and usually related to regions of diffuse deformation within the oceanic plate. The 23 January 2018 MW 7.9 strike-slip Gulf of Alaska earthquake ruptured an oceanic fracture zone system offshore Kodiak Island. Bathymetric compilations show a muted topographic expression of the fracture zone due to the thick sediment that covers oceanic basement but the fracture zone system can be identified by offset N-S magnetic anomalies and E-W linear zones in the vertical gravity gradient. Back-projection from global seismic stations reveals that the initial rupture at first propagated from the epicenter to the north, likely rupturing along a weak zone parallel to the ocean crustal fabric. The rupture then changed direction to eastward directed with most energy emitted on Aka fracture zone resulting in an unusual multi-fault earthquake. Similarly, the aftershocks show complex behavior and are related to two different tectonic structures: (1) events along N-S trending oceanic fabric, which ruptured mainly strike-slip and additionally, in normal and oblique slip mechanisms and (2) strike-slip events along E-W oriented fracture zones. To explain the complex faulting behavior we adopt the classical stress and strain partitioning concept and propose a generalized model for large intra-oceanic strike-slip earthquakes of trench-oblique oriented fracture zones/ocean plate fabric near subduction zones. Taking the Kodiak asperity position of 1964 maximum afterslip and outer-rise Coulomb stress distribution into account, we propose that the unusual 2018 Gulf of Alaska moment release was stress transferred to the incoming oceanic plate from co- and post-processes of the nearby great 1964 MW 9.2 megathrust earthquake.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-32071-4","usgsCitation":"Krabbenhoeft, A., von Huene, R., Miller, J., Lange, D., and Vera, F., 2018, Strike-slip 23 January 2018 MW 7.9 Gulf of Alaska rare intraplate earthquake: Complex rupture of a fracture zone system: Scientific Reports, v. 8, p. 1-9, https://doi.org/10.1038/s41598-018-32071-4.","productDescription":"13706; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-096067","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-32071-4","text":"Publisher Index Page"},{"id":357618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.68554687499997,\n 55.25407706707272\n ],\n [\n -144.3603515625,\n 52.1874047455997\n ],\n [\n -130.6494140625,\n 52.26815737376817\n ],\n [\n -130.6494140625,\n 54.6992335284814\n ],\n [\n -134.38476562499997,\n 59.108308258604964\n ],\n [\n -139.6142578125,\n 60.65164736580915\n ],\n [\n -148.1396484375,\n 61.543641475549954\n ],\n [\n -152.3583984375,\n 60.823494332539646\n ],\n [\n -162.68554687499997,\n 55.25407706707272\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-12","publicationStatus":"PW","scienceBaseUri":"5bc02fa1e4b0fc368eb5392f","contributors":{"authors":[{"text":"Krabbenhoeft, Anne","contributorId":208084,"corporation":false,"usgs":false,"family":"Krabbenhoeft","given":"Anne","email":"","affiliations":[{"id":37708,"text":"GEOMAR Helmholtz Center for Ocean Research Kiel, Wischhofstr. 1-3, 24148 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":745851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Huene, Roland 0000-0003-1301-3866","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":208085,"corporation":false,"usgs":false,"family":"von Huene","given":"Roland","affiliations":[{"id":37709,"text":"USGS, emeritus, 800 Blossom Hill Road, Los Gatos, CA","active":true,"usgs":false}],"preferred":false,"id":745852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, John J. 0000-0002-9098-0967","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":208083,"corporation":false,"usgs":true,"family":"Miller","given":"John J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":745850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lange, Dietrich","contributorId":208086,"corporation":false,"usgs":false,"family":"Lange","given":"Dietrich","email":"","affiliations":[{"id":37708,"text":"GEOMAR Helmholtz Center for Ocean Research Kiel, Wischhofstr. 1-3, 24148 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":745853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vera, Felipe","contributorId":208087,"corporation":false,"usgs":false,"family":"Vera","given":"Felipe","email":"","affiliations":[{"id":37710,"text":"Helmholtz-Zentrum Potsdam, Deutsches GeoForschungsZentrum GFZ, Telegrafenberg 1, 14473, Potsdam, Germany and Freie Universität Berlin, Malteserstr. 74−100, 12249, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":745854,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199305,"text":"70199305 - 2018 - Where have all the turtles gone, and why does it matter?","interactions":[],"lastModifiedDate":"2018-10-23T16:51:00","indexId":"70199305","displayToPublicDate":"2018-09-12T10:59:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Where have all the turtles gone, and why does it matter?","docAbstract":"Of the 356 species of turtles worldwide, approximately 61% are threatened or already extinct. Turtles are among the most threatened of the major groups of vertebrates, in general, more so than birds, mammals, fishes or even the much besieged amphibians. Reasons for the dire situation of turtles worldwide include the familiar list of impacts to other species including habitat destruction, unsustainable overexploitation for pets and food, and climate change (many turtles have environmental sex determination). Two notable characteristics of pre-Anthropocene turtles were their massive population sizes and correspondingly high biomasses, the latter among the highest values (over 855 kilograms per hectare) ever reported for animals. As a result of their numerical dominance, turtles have played important roles as significant bioturbators of soils, infaunal miners of sea floors, dispersers and germination enhancers of seeds, nutrient cyclers, and consumers. The collapse of turtle populations on a global scale has greatly diminished their ecological roles.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/biosci/biy095","usgsCitation":"Lovich, J.E., Ennen, J., Agha, M., and Gibbons, J.W., 2018, Where have all the turtles gone, and why does it matter?: BioScience, v. 68, no. 10, p. 771-781, https://doi.org/10.1093/biosci/biy095.","productDescription":"11 p.","startPage":"771","endPage":"781","ipdsId":"IP-096138","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468410,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biy095","text":"Publisher Index Page"},{"id":357327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-12","publicationStatus":"PW","scienceBaseUri":"5bc02fa1e4b0fc368eb53931","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":744916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false},{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":744917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbons, J. Whitfield","contributorId":198690,"corporation":false,"usgs":false,"family":"Gibbons","given":"J.","email":"","middleInitial":"Whitfield","affiliations":[],"preferred":false,"id":744918,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228001,"text":"70228001 - 2018 - Assessing wild juvenile trout ecology in the lower Mountain Fork","interactions":[],"lastModifiedDate":"2022-03-07T16:57:28.385881","indexId":"70228001","displayToPublicDate":"2018-09-12T10:47:38","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"133-2018","title":"Assessing wild juvenile trout ecology in the lower Mountain Fork","docAbstract":"Reservoir tailwaters can be valuable fisheries for Rainbow Trout (Oncorhynchus mykiss), which is commonly stocked as mitigation for the altered habitat because it performs well as a put-and-take species in these thermally depressed systems. These fisheries are usually sustained by stocking due to flow fluctuations and lack of suitable spawning habitat that may limit natural reproduction. The Lower Mountain Fork River (LMFR) below Broken Bow Dam in southeastern Oklahoma is one of two year-round trout fisheries in the state and wild, juvenile Rainbow Trout were documented beginning in 2006, prompting speculation about the potential for a self-sustaining population. To determine this potential, we searched several sites over two years throughout the LMFR for wild, juvenile Rainbow Trout to estimate several parameters related to their population status (e.g., age, growth, time of spawning and hatching, and prey use). We also assessed the availability of macroinvertebrate prey to determine how food resources may affect trout sustainability. We found wild, juvenile Rainbow Trout each year, but only at sites within the first 4.5 km of the 19-km tailwater. Juvenile trout were the result of spawning that took place from late January through mid-April. Growth and body condition were variable between years, but similar to other systems. Weekly survival estimates using catch curves were low (<80%), suggesting limited potential for recruitment; however, declining catchability of larger juvenile fish likely biased these estimates. Wild, juvenile Rainbow Trout ate a variety of food items, but selected for Amphipoda and Diplostraca and against Trichoptera. Overlap in diet with adult Rainbow Trout was low (Bray-Curtis dissimilarity = 0.70). Macroinvertebrate prey resources available to trout varied among management zones, being most abundant in Zone 1 and Zone 3. Potential for a wild fishery may exist in the upper portion of the LMFR but additional research on recruitment to adulthood would be required to provide a more definitive answer.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Long, J.M., Hoback, W.W., Reed, M.L., and Farling, T., 2018, Assessing wild juvenile trout ecology in the lower Mountain Fork: Cooperator Science Series 133-2018, ii, 39 p.","productDescription":"ii, 39 p.","ipdsId":"IP-099438","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396791,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/digital/collection/document/id/2239/rec/1"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Lower Mountain Fork River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.72000122070312,\n 34.04241857075928\n ],\n [\n -94.6039581298828,\n 34.04241857075928\n ],\n [\n -94.6039581298828,\n 34.15386343128204\n ],\n [\n -94.72000122070312,\n 34.15386343128204\n ],\n [\n -94.72000122070312,\n 34.04241857075928\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":832873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoback, W. W.","contributorId":274280,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","email":"","middleInitial":"W.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, M. L.","contributorId":243520,"corporation":false,"usgs":false,"family":"Reed","given":"M.","email":"","middleInitial":"L.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farling, Tyler","contributorId":201482,"corporation":false,"usgs":false,"family":"Farling","given":"Tyler","email":"","affiliations":[],"preferred":false,"id":832876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199563,"text":"70199563 - 2018 - Movements and dive patterns of pygmy killer whales (Feresa attenuata) released in the Gulf of Mexico following rehabilitation","interactions":[],"lastModifiedDate":"2018-09-25T13:21:11","indexId":"70199563","displayToPublicDate":"2018-09-12T10:43:48","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":869,"text":"Aquatic Mammals","active":true,"publicationSubtype":{"id":10}},"title":"Movements and dive patterns of pygmy killer whales (Feresa attenuata) released in the Gulf of Mexico following rehabilitation","docAbstract":"The habits and habitats of pygmy killer whales (Feresa attenuata) in the Gulf of Mexico (GoM) are poorly known outside of strandings and line-transect surveys. Two adult male pygmy killer whales were found live-stranded in the state of Mississippi (USA) on 1 September 2015 and were subsequently rehabilitated and returned to the offshore waters of the GoM on 11 July 2016. To monitor the animals post-release, both were tagged with satellite-linked location and dive behavior tags. Tags were programed to record and transmit dive duration and depth (when dives were ≥ 30 m deep for ≥ 30 s), duration of time spent above 30 m depth, and estimate locations using the Argos system. The tags transmitted for 15 and 88 days, respectively, providing a total of 1,027 filtered locations and 3,150 dive duration and maximum depth records. The animals began diving after two and four days, respectively, post-release. More than 96% of dives occurred at night. The longest recorded dive was more than 9 min in duration, and the deepest was to 368 m. More than 98% of the locations were over the GoM shelf break, spanning water 200 to 1,200 m deep. Diving patterns indicate that this species is most active at night in the GoM, suggesting its prey species are likely diel migrators that are below reachable depths during daylight hours. Near simultaneous location data from both animals confirmed that they stayed in close proximity but did not dive synchronously. Success of the rehabilitation and release was inconclusive for pygmy killer whale ID 30IMMS, whereas 31IMMS met the established criteria for success with ≥ 6 weeks of documented post-release survival. Follow-up monitoring through satellite-linked telemetry provided not only important data for evaluating the success of the rehabilitation but also for documenting the activity and habitat use of these seldom-observed cetaceans.
","language":"English","publisher":"Aquatic Mammals","doi":"10.1578/AM.44.5.2018.555","usgsCitation":"Pulis, E., Wells, R.S., Schorr, G.S., Douglas, D., Samuelson, M.M., and Solangi, M., 2018, Movements and dive patterns of pygmy killer whales (Feresa attenuata) released in the Gulf of Mexico following rehabilitation: Aquatic Mammals, v. 44, no. 5, p. 555-567, https://doi.org/10.1578/AM.44.5.2018.555.","productDescription":"13 p.","startPage":"555","endPage":"567","ipdsId":"IP-094379","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":357658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","volume":"44","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-15","publicationStatus":"PW","scienceBaseUri":"5bc02fa1e4b0fc368eb53933","contributors":{"authors":[{"text":"Pulis, Eric","contributorId":208090,"corporation":false,"usgs":false,"family":"Pulis","given":"Eric","email":"","affiliations":[{"id":37711,"text":"Institute for Marine Mammal Studies","active":true,"usgs":false}],"preferred":false,"id":745859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Randall S.","contributorId":208091,"corporation":false,"usgs":false,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[{"id":37712,"text":"Chicago Zoological Society’s Sarasota Dolphin Research Program","active":true,"usgs":false}],"preferred":false,"id":745860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schorr, Gregory S.","contributorId":208092,"corporation":false,"usgs":false,"family":"Schorr","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":37713,"text":"Marine Ecology and Telemetry Research","active":true,"usgs":false}],"preferred":false,"id":745861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":745858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Samuelson, Mystera M.","contributorId":208093,"corporation":false,"usgs":false,"family":"Samuelson","given":"Mystera","email":"","middleInitial":"M.","affiliations":[{"id":37711,"text":"Institute for Marine Mammal Studies","active":true,"usgs":false}],"preferred":false,"id":745862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solangi, Moby","contributorId":208094,"corporation":false,"usgs":false,"family":"Solangi","given":"Moby","email":"","affiliations":[{"id":37711,"text":"Institute for Marine Mammal Studies","active":true,"usgs":false}],"preferred":false,"id":745863,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70212480,"text":"70212480 - 2018 - Quantifying uncertainty in cumulative surface slip along the Cucamonga Fault, a crustal thrust fault in southern California","interactions":[],"lastModifiedDate":"2020-08-17T14:48:52.189119","indexId":"70212480","displayToPublicDate":"2018-09-12T09:40:03","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying uncertainty in cumulative surface slip along the Cucamonga Fault, a crustal thrust fault in southern California","docAbstract":"Studies of historic earthquake ground surface ruptures show that displacements along strike are spatially variable. As a result, latest Quaternary slip rates developed from a spatially restricted set of cumulative displacement measurements may not accurately represent fault velocity. Here we examine the uncertainties associated with slip on the Cucamonga Fault, which is part of a network of faults that have generated damaging historical earthquakes in and around Los Angeles, California. Numerous scarps along its ~25‐km length are well expressed on alluvial fans. We make 310 measurements of vertical separation across the scarps using lidar data. We show that the dispersion of the vertical separations cannot be explained by our best estimates of analytical uncertainties alone. Additional epistemic uncertainties are required. We find that the magnitude of the required epistemic uncertainty is typically larger than analytical uncertainty by a factor of 3 and typically about 22% of the maximum vertical separation. These relationships appear to hold at several spatial scales. We examine three potential sources of epistemic uncertainty and find that none among surface age uncertainty, fault dip, and anthropogenic landscape alteration is likely sufficient to explain the overdispersion of the data, which suggests differences in cumulative strain along the strike of the fault. We calculate a range of dip‐slip rates between 0.4 and 2.6 mm/year. In light of our results, we suggest that future thrust‐fault slip‐rate studies adopt an epistemic uncertainty of 22% of the maximum value for vertical separation measurements, unless there are sufficient data to demonstrate otherwise.
The Omnibus Public Land Management Act of 2009 (Public Law 111—11) was passed into law on March 30, 2009. Subtitle F, also known as the SECURE Water Act, calls for the establishment of a “national water availability and use assessment program” within the U.S. Geological Survey (USGS). The USGS issued the first report on the program in 2013. Program progress over the period 2013–17 is reported herein to fulfill the requirement to inform Congress on implementation of the national water availability and use assessment program, also referred to as the USGS National Water Census (the Water Census).
Much work has been accomplished during 2013–17 on producing water budgets for the nation, a goal USGS outlined in its first report on program progress to Congress. The USGS has completed three geographic focus area studies and has begun three others. Work has advanced on nationwide efforts in streamflow analysis, groundwater assessment and research, evapotranspiration studies, water use, environmental water science, and drought science. The USGS works with Federal and non-Federal agencies, universities, and other organizations to ensure that the information can be aggregated with other types of water-availability and socioeconomic information, such as data on food and energy production. The USGS has also made great strides in measures for delivering data and information on the Water Census to stakeholders and the public.
Much work remains to be accomplished for the Nation to have a comprehensive, ongoing Water Census. In this report, the USGS lays out activities to be accomplished in the next 5 years (2017–22), based upon current funding levels. These include selecting new focus area studies, conducting hydrologic modeling to complete water budgets for the conterminous United States, expanding groundwater modeling efforts, mapping a national classification system for environmental water science, and developing an inventory of interbasin water transfers. All of these steps are necessary in order for the Water Census to achieve the goals outlined by Congress in the SECURE Water Act.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1440","usgsCitation":"Evenson, E.J., Jones, S.A., Barber, N.L., Barlow, P.M., Blodgett, D.L., Bruce, B.W., Douglas-Mankin, K., Farmer, W.H., Fischer, J.M., Hughes, W.B., Kennen, J.G., Kiang, J.E., Maupin, M.A., Reeves, H.W., Senay, G.B., Stanton, J.S., Wagner, C.R., and Wilson, J.T., 2018, Continuing progress toward a national assessment of water availability and use: U.S. Geological Survey Circular 1440, 64 p., https://doi.org/10.3133/cir1440.","productDescription":"viii, 64 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-088874","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":354392,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1440/circ1440.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1440"},{"id":354391,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1440/coverthb.jpg"}],"contact":"Coordinator—Water Availability and Use Science Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
The 2014 update of the U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) for the conterminous United States (2014 NSHM; Petersen and others, 2014, 2015) included probabilistic ground motion maps for 2 percent and 10 percent probabilities of exceedance in 50 years, derived from seismic hazard curves for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral accelerations (SAs) with 5 percent damping for the National Earthquake Hazards Reduction Program (NEHRP) site class boundary B/C (time-averaged shear wave velocity in the upper 30 meters [VS30]=760 meters per second [m/s]). We now provide uniform NEHRP site class maps for 2, 5, and 10 percent probabilities of exceedance in 50 years derived from hazard curves for additional spectral periods. For the central and eastern United States (CEUS) and western United States (WUS), hazard curves and maps for PGA, 0.1, 0.2, 0.3, 0.5, 1.0, and 2.0 second SAs are now available. The WUS additionally includes hazard curves and maps for 0.75, 3.0, 4.0, and 5.0 second SAs. The use of region-specific suites of weighted ground motion models (GMMs) in the 2014 NSHM precluded the calculation of ground motions for a uniform set of periods and site classes for the conterminous United States. At the time of the development of the 2014 NSHM, there was no consensus in the CEUS on an appropriate site-amplification model to use; therefore, we calculated hazard curves and maps for NEHRP site class A, for which most stable continental GMMs were originally developed, based on simulations for hard rock site conditions (VS30=2,000 m/s). In the WUS, however, the active crustal Next Generation Attenuation Relationships for the WUS (NGA-West2 GMMs) and subduction GMMs allow amplification of ground motions based on site class (defined by VS30); so we calculated hazard curves and maps for NEHRP site classes B (VS30=1,080 m/s), C (VS30=530 m/s), D (VS30=260 m/s), and E (VS30=150 m/s) and site class boundaries A/B (VS30=1,500 m/s), B/C (VS30=760 m/s), C/D (VS30=365 m/s), and D/E (VS30=185 m/s). The 2014 NSHM introduced a set of criteria for selecting GMMs for use in the NSHMs. When calculating additional period and site class maps, we verified whether the 2014 NSHM original suites of GMMs satisfied these ground motion selection criteria at all additional periods and site classes using GMM magnitude-distance scaling relation plots. Results of our analysis show that certain GMMs give unrealistic results at longer periods, distances, and softer soils in the WUS. In these rare instances, the GMM was removed from the original suite of GMMs (for all periods and site classes) and the weights of the remaining GMMs in the suite were renormalized. Ratio maps show these updated suites of weighted GMMs result in probabilistic ground motion changes of less than 10 percent in the WUS at PGA, as well as 0.2 and 1.0 second SAs, except in the Pacific Northwest, where differences as much as 20 percent are seen. Hazard curves and uniform hazard response spectra at test sites across the conterminous United States were produced to verify that results were reasonable. The additional period and site class maps, and the hazard curves from which they were derived, are available for download from the USGS ScienceBase Catalog.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181111","usgsCitation":"Shumway, A.M., Petersen, M.D., Powers, P.M., and Rezaeian, S., 2018, Additional period and site class maps for the 2014 National Seismic Hazard Model for the conterminous United States: U.S. Geological Survey Open-File Report 2018–1111, 46 p., https://doi.org/10.3133/ofr20181111.","productDescription":"Report: v, 46 p.; Data release","onlineOnly":"Y","ipdsId":"IP-098308","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":357217,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9I6BPX5","text":"USGS data release","linkHelpText":"Data Release for Additional Period and Site Class Maps for the 2014 National Seismic Hazard Model for the Conterminous United 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\"}}]}\n\n\n","contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS 966
Denver, CO 80225
While many studies on tribal water resources of individual tribal lands in the United States (US) have been conducted, the importance of tribal water resources at a national scale has largely gone unrecognized because their combined totals have not been quantified. Thus, we sought to provide a numerical estimate of major water budget components on tribal lands within the conterminous US and on USGS hydrologic unit codes (HUC2) regions. Using existing national-scale data and models, we estimated mean annual precipitation, evapotranspiration, excess precipitation, streamflow, and water use for the period 1971–2000. Tribal lands represent about 3.4 percent of the total land area of the conterminous US and on average account for 1.9 percent of precipitation, 2.4 percent of actual evapotranspiration, 0.95 percent of excess precipitation, 1.6 percent of water use, and 0.43 percent of streamflow origination. Additionally, approximately 9.5 and 11.3 percent of US streamflow flows through or adjacent as boundaries to tribal lands, respectively. Streamflow through or adjacent to tribal lands accounts for 42 and 48 percent of streamflow in the Missouri region, respectively; and for 86 and 88 percent in the Lower Colorado region, respectively. On average, 5,600 million cubic meters of streamflow per year was produced on tribal lands in the Pacific Northwest region, nearly five times greater than tribal lands in any other region. Tribal lands in the Great Lakes, Missouri, Arkansas-White-Red, and California regions all produced between 1,000 and 1,400 million cubic meters per year.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0203872","usgsCitation":"Blasch, K.W., Hundt, S., Wurster, P., Sando, R., and Berthelote, A., 2018, Streamflow contributions from tribal lands to major river basins of the United States: PLoS ONE, v. 13, no. 9, p. 1-16, https://doi.org/10.1371/journal.pone.0203872.","productDescription":"e0203872; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-089346","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":468411,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0203872","text":"Publisher Index Page"},{"id":357234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"13","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","scienceBaseUri":"5b98a25fe4b0702d0e842e3e","contributors":{"authors":[{"text":"Blasch, Kyle W. 0000-0002-0590-0724","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":203415,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hundt, Stephen A. 0000-0002-6484-0637","orcid":"https://orcid.org/0000-0002-6484-0637","contributorId":204678,"corporation":false,"usgs":true,"family":"Hundt","given":"Stephen","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wurster, Patrick 0000-0003-2668-2014","orcid":"https://orcid.org/0000-0003-2668-2014","contributorId":207806,"corporation":false,"usgs":false,"family":"Wurster","given":"Patrick","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":false,"id":744766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":744767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berthelote, Antony","contributorId":207807,"corporation":false,"usgs":false,"family":"Berthelote","given":"Antony","email":"","affiliations":[{"id":37636,"text":"Salish Kootenai College","active":true,"usgs":false}],"preferred":false,"id":744768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199224,"text":"70199224 - 2018 - Collision and displacement vulnerability to offshore wind energy infrastructure among marine birds of the Pacific Outer Continental Shelf","interactions":[],"lastModifiedDate":"2018-09-11T16:34:03","indexId":"70199224","displayToPublicDate":"2018-09-11T16:33:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Collision and displacement vulnerability to offshore wind energy infrastructure among marine birds of the Pacific Outer Continental Shelf","docAbstract":"Marine birds are vulnerable to collision with and displacement by offshore wind energy infrastructure (OWEI). Here we present the first assessment of marine bird vulnerability to potential OWEI in the California Current System portion of the U.S. Pacific Outer Continental Shelf (POCS). Using population size, demography, life history, flight heights, and avoidance behavior for 62 seabird and 19 marine water bird species that occur in the POCS, we present and apply equations to calculate Population Vulnerability, Collision Vulnerability, and Displacement Vulnerability to OWEI for each species. Species with greatest Population vulnerability included those listed as species of concern (e.g., Least Tern [Sternula antillarum], Marbled Murrelet [Brachyramphus marmoratus], Pink-footed Shearwater [Puffinus creatopus]) and resident year-round species with small population sizes (e.g., Ashy Storm-Petrel [Oceanodroma homochroa], Brandt's Cormorant [Phalacrocorax penicillatus], and Brown Pelican [Pelecanus occidentalis]). Species groups with the greatest Collision Vulnerability included jaegers/skuas, pelicans, terns and gulls that spend significant amounts of time flying at rotor sweep zone height and don't show macro-avoidance behavior (avoidance of entire OWEI area). Species groups with the greatest Displacement Vulnerability show high macro-avoidance behavior and low habitat flexibility and included loons, grebes, sea ducks, and alcids. Using at-sea survey data from the southern POCS, we combined species-specific vulnerabilities described above with at-sea species densities to assess vulnerabilities spatially. Spatial vulnerability densities were greatest in areas with high species densities (e.g., near-shore areas) and locations where species with high vulnerability were found in abundance. Our vulnerability assessment helps understand and minimize potential impacts of OWEI infrastructure on marine birds in the POCS and could inform management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2018.08.051","usgsCitation":"Kelsey, E.C., Felis, J.J., Czapanskiy, M., Peresksta, D.M., and Adams, J., 2018, Collision and displacement vulnerability to offshore wind energy infrastructure among marine birds of the Pacific Outer Continental Shelf: Journal of Environmental Management, v. 227, p. 229-247, https://doi.org/10.1016/j.jenvman.2018.08.051.","productDescription":"19 p.","startPage":"229","endPage":"247","ipdsId":"IP-089929","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468412,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2018.08.051","text":"Publisher Index Page"},{"id":357232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"227","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a25fe4b0702d0e842e40","contributors":{"authors":[{"text":"Kelsey, Emily C. 0000-0002-0107-3530 ekelsey@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3530","contributorId":206505,"corporation":false,"usgs":true,"family":"Kelsey","given":"Emily","email":"ekelsey@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czapanskiy, Max 0000-0002-6302-905X","orcid":"https://orcid.org/0000-0002-6302-905X","contributorId":207793,"corporation":false,"usgs":false,"family":"Czapanskiy","given":"Max","email":"","affiliations":[{"id":37635,"text":"San Fransciso State University","active":true,"usgs":false}],"preferred":false,"id":744750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peresksta, David M.","contributorId":207794,"corporation":false,"usgs":false,"family":"Peresksta","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":744751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744747,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200868,"text":"70200868 - 2018 - Monitoring the social benefits of ecological restoration","interactions":[],"lastModifiedDate":"2018-11-09T14:43:09","indexId":"70200868","displayToPublicDate":"2018-09-11T14:21:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the social benefits of ecological restoration","docAbstract":"Ecological restoration has traditionally been evaluated by monitoring the recovery of ecosystem conditions, such as species diversity and abundance, physical form, and water quality, whereas monitoring the social benefits of restoration is uncommon. Current monitoring frameworks do not track who benefits from restoration or by how much. In this study, we investigate how ecological restoration could be monitored to provide indications of progress in terms of social conditions. We provide suggestions for measuring several categories of benefit indicators, including access, beneficiaries, and quality of benefit, using information compiled from natural and social science literature. We also demonstrate how to evaluate ecological and social benefit indicators over time at a site or landscape scale using multi-criteria analysis. We use flood protection and recreation as example benefits to monitor.","language":"English","publisher":"Wiley","doi":"10.1111/rec.12888","usgsCitation":"Martin, D.M., and Lyons, J., 2018, Monitoring the social benefits of ecological restoration: Restoration Ecology, v. 26, no. 6, p. 1045-1050, https://doi.org/10.1111/rec.12888.","productDescription":"6 p.","startPage":"1045","endPage":"1050","ipdsId":"IP-098866","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":359333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-04","publicationStatus":"PW","scienceBaseUri":"5be55a53e4b0b3fc5cf8c68f","contributors":{"authors":[{"text":"Martin, David M. 0000-0002-1514-5734","orcid":"https://orcid.org/0000-0002-1514-5734","contributorId":210575,"corporation":false,"usgs":false,"family":"Martin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":751005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":210574,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":751004,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201102,"text":"70201102 - 2018 - Chronic wasting disease detection and mortality sources in semi-protected deer population","interactions":[],"lastModifiedDate":"2019-11-13T13:16:32","indexId":"70201102","displayToPublicDate":"2018-09-11T11:03:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Chronic wasting disease detection and mortality sources in semi-protected deer population","docAbstract":"Surveillance for wildlife diseases is essential for assessing population dynamics of ungulates, especially in free-ranging populations where infected animals are difficult to sample. Chronic wasting disease (CWD) is an emerging infectious disease of concern because of the potential for substantial negative effects on populations of cervids. Variability in the likelihood that CWD is detected could invalidate traditional estimators for prevalence. In some instances, deer located after death cannot be tested for infectious diseases, including CWD, because of lack of availability or condition of appropriate tissues. We used various methods to detect infectious diseases that could cause mortality for deer Odocoileus spp. residing in Wind Cave National Park, South Dakota, USA, and we report survival estimates for animals in this population. We included 34 monthly encounters of deer resightings and 67 mortalities. We tested live deer by tonsillar biopsy for CWD and estimated pooled prevalence (mean ± SE) at 5.6 ± 3.0% over the three-year study. Live deer potentially had exposure to several infectious diseases, including bluetongue, epizootic hemorrhagic disease, bovine viral diarrhea, West Nile virus, and malignant catarrhal fever, but no apparent morbidity or mortality from those diseases. We tested survival and influence of covariates, including age and sex, using known-fate analysis in Program MARK. Those data best supported a model with time-invariant encounter probability and an annual survival of 72.8%. Even without direct pressure from hunting within the park, average life expectancy in this population was 3.2 years. Only 68% of mortalities contained sufficient material for CWD sampling (because of predation and scavenger activity) and >42% of these were CWD-positive. These findings underscore the possible biases in postmortem surveillance estimates of disease prevalence because of potential for subclinical infected animals to be removed by predators and not tested.
","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/wlb.00437","usgsCitation":"Schuler, K.L., Jenks, J.A., Klaver, R.W., Jennelle, C.S., and Bowyer, R.T., 2018, Chronic wasting disease detection and mortality sources in semi-protected deer population: Wildlife Biology, v. 2018, no. 1, wlb.00437, 7 p., https://doi.org/10.2981/wlb.00437.","productDescription":"wlb.00437, 7 p.","ipdsId":"IP-064498","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468413,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00437","text":"Publisher Index Page"},{"id":359778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.6669921875,\n 43.48680489735277\n ],\n [\n -103.304443359375,\n 43.48680489735277\n ],\n [\n -103.304443359375,\n 43.67581809328341\n ],\n [\n -103.6669921875,\n 43.67581809328341\n ],\n [\n -103.6669921875,\n 43.48680489735277\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2018","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","scienceBaseUri":"5c0108d5e4b0815414cc2dfb","contributors":{"authors":[{"text":"Schuler, Krysten L.","contributorId":210886,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten","email":"","middleInitial":"L.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":752680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, Jonathan A.","contributorId":210887,"corporation":false,"usgs":false,"family":"Jenks","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":752681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":752679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jennelle, Christopher S.","contributorId":210888,"corporation":false,"usgs":false,"family":"Jennelle","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":752682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowyer, R. Terry","contributorId":210889,"corporation":false,"usgs":false,"family":"Bowyer","given":"R.","email":"","middleInitial":"Terry","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":752683,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199211,"text":"70199211 - 2018 - Climatically driven changes in primary production propagate through trophic levels","interactions":[],"lastModifiedDate":"2018-09-28T08:52:39","indexId":"70199211","displayToPublicDate":"2018-09-11T10:24:38","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":"Climatically driven changes in primary production propagate through trophic levels","docAbstract":"Climate and land‐use change are the major drivers of global biodiversity loss. Their effects are particularly acute for wide‐ranging consumers, but little is known about how these factors interact to affect the abundance of large carnivores and their herbivore prey. We analyzed population densities of a primary and secondary consumer (mule deer, Odocoileus hemionus, and mountain lion, Puma concolor) across a climatic gradient in western North America by combining satellite‐based maps of plant productivity with estimates of animal abundance and foraging area derived from Global Positioning Systems telemetry data (GPS). Mule deer density exhibited a positive, linear relationship with plant productivity (r2 = 0.58), varying by a factor of 18 across the climate‐vegetation gradient (range: 38–697 individuals/100 km2). Mountain lion home range size decreased in response to increasing primary productivity and consequent changes in the abundance of their herbivore prey (range: 20–450 km2). This pattern resulted in a strong, positive association between plant productivity and mountain lion density (r2 = 0.67). Despite varying densities, the ratio of prey to predator remained constant across the climatic gradient (mean ± SE = 363 ± 29 mule deer/mountain lion), suggesting that the determinacy of the effect of primary productivity on consumer density was conserved across trophic levels. As droughts and longer term climate changes reduce the suitability of marginal habitats, consumer home ranges will expand in order for individuals to meet basic nutritional requirements. These changes portend decreases in the abundance of large‐bodied, wide‐ranging wildlife through climatically driven reductions in carrying capacity, as well as increased human–wildlife interactions stemming from anthropogenic land use and habitat fragmentation.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14364","usgsCitation":"Stoner, D.C., Sexton, J.O., Choate, D.M., Nagol, J., Bernales, H.H., Sims, S.A., Ironside, K.E., Longshore, K.M., and Edwards, T., 2018, Climatically driven changes in primary production propagate through trophic levels: Global Change Biology, v. 24, no. 10, p. 4453-4463, https://doi.org/10.1111/gcb.14364.","productDescription":"11 p.","startPage":"4453","endPage":"4463","ipdsId":"IP-090173","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1463359","text":"Publisher Index Page"},{"id":357221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau, Great Basin, Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.03662109374999,\n 32.80574473290688\n ],\n [\n -104.67773437499999,\n 32.80574473290688\n ],\n [\n -104.67773437499999,\n 42.049292638686836\n ],\n [\n -120.03662109374999,\n 42.049292638686836\n ],\n [\n -120.03662109374999,\n 32.80574473290688\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-07","publicationStatus":"PW","scienceBaseUri":"5b98a260e4b0702d0e842e42","contributors":{"authors":[{"text":"Stoner, David C.","contributorId":207777,"corporation":false,"usgs":false,"family":"Stoner","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":744695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexton, Joseph O.","contributorId":191918,"corporation":false,"usgs":false,"family":"Sexton","given":"Joseph","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":744696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, David M.","contributorId":207778,"corporation":false,"usgs":false,"family":"Choate","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":744697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagol, Jyothy","contributorId":207779,"corporation":false,"usgs":false,"family":"Nagol","given":"Jyothy","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":744698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernales, Heather H.","contributorId":198513,"corporation":false,"usgs":false,"family":"Bernales","given":"Heather","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":744699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sims, Steven A.","contributorId":207780,"corporation":false,"usgs":false,"family":"Sims","given":"Steven","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":744700,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":744694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":744692,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}