In grasslands fire may play a role in the plant invasion process, both by creating disturbances that potentially favour non-native invasions and as a possible tool for controlling alien invasions. Havill et al. (Applied Vegetation Science, 18, 2015, this issue) determine how native and non-native species respond to different fire regimes as a first step in understanding the potential control of invasive grasses.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/avsc.12192","usgsCitation":"Keeley, J.E., 2015, Attacking invasive grasses: Applied Vegetation Science, v. 18, p. 541-542, https://doi.org/10.1111/avsc.12192.","productDescription":"2 p.","startPage":"541","endPage":"542","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066871","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471803,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/avsc.12192","text":"Publisher Index Page"},{"id":312544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-10","publicationStatus":"PW","scienceBaseUri":"56753c39e4b0da412f4f8bc7","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":582745,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156556,"text":"ofr20151149 - 2015 - Sea-floor morphology and sedimentary environments in southern Narragansett Bay, Rhode Island","interactions":[],"lastModifiedDate":"2015-09-09T11:53:03","indexId":"ofr20151149","displayToPublicDate":"2015-09-09T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1149","title":"Sea-floor morphology and sedimentary environments in southern Narragansett Bay, Rhode Island","docAbstract":"Multibeam echosounder data collected by the National Oceanic and Atmospheric Administration along with sediment samples and still and video photography of the sea floor collected by the U.S. Geological Survey were used to interpret sea-floor features and sedimentary environments in southern Narragansett Bay, Rhode Island, as part of a long-term effort to map the sea floor along the northeastern coast of the United States. Sea-floor features include rocky areas and scour depressions in high-energy environments characterized by erosion or nondeposition, and sand waves and megaripples in environments characterized by coarse-grained bedload transport. Two shipwrecks are also located in the study area. Much of the sea floor is relatively featureless within the resolution of the multibeam data; sedimentary environments in these areas are characterized by processes associated with sorting and reworking. This report releases bathymetric data from the multibeam echosounder, grain-size analyses of sediment samples, and photographs of the sea floor and interpretations of the sea-floor features and sedimentary environments. It provides base maps that can be used for resource management and studies of topics such as benthic ecology, contaminant inventories, and sediment transport.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151149","isbn":"978-1-4113-3933-0","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"McMullen, K.Y., Poppe, L.J., Blackwood, D.S., Nardi, M.J., and Andring, M.A., 2015, Sea-floor morphology and sedimentary environments in southern Narragansett Bay, Rhode Island: U.S. Geological Survey Open-File Report 2015–1149, 1 DVD-ROM, https://dx.doi.org/10.3133/ofr20151149.","productDescription":"HMTL Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-06-01","temporalEnd":"2011-09-30","ipdsId":"IP-065057","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307926,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1149/images/coverthb.jpg"},{"id":307927,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1149/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1149"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Narragansett Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.455078125,\n 41.396384896536276\n ],\n [\n -71.455078125,\n 41.748775021355044\n ],\n [\n -71.26419067382812,\n 41.748775021355044\n ],\n [\n -71.26419067382812,\n 41.396384896536276\n ],\n [\n -71.455078125,\n 41.396384896536276\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543
(508) 548-8700 or (508) 457-2200
http://woodshole.er.usgs.gov/
This paper examined the relationship between birth weight, precipitation, and temperature in 19 African countries. We matched recorded birth weights from Demographic and Health Surveys covering 1986 through 2010 with gridded monthly precipitation and temperature data derived from satellite and ground-based weather stations. Observed weather patterns during various stages of pregnancy were also used to examine the effect of temperature and precipitation on birth weight outcomes. In our empirical model we allowed the effect of weather factors to vary by the dominant food production strategy (livelihood zone) in a given region as well as by household wealth, mother's education and birth season. This allowed us to determine if certain populations are more or less vulnerable to unexpected weather changes after adjusting for known covariates. Finally we measured effect size by observing differences in birth weight outcomes in women who have one low birth weight experience and at least one healthy birth weight baby. The results indicated that climate does indeed impact birth weight and at a level comparable, in some cases, to the impact of increasing women's education or household electricity status.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloenvcha.2015.06.010","usgsCitation":"Grace, K., Davenport, F., Hanson, H., Funk, C.C., and Shukla, S., 2015, Linking climate change and health outcomes: Examining the relationship between temperature, precipitation and birth weight in Africa: Global Environmental Change, v. 35, p. 125-137, https://doi.org/10.1016/j.gloenvcha.2015.06.010.","productDescription":"13 p.","startPage":"125","endPage":"137","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064651","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -19.072265625,\n -32.990235559651055\n ],\n [\n -19.072265625,\n 29.53522956294847\n ],\n [\n 55.8984375,\n 29.53522956294847\n ],\n [\n 55.8984375,\n -32.990235559651055\n ],\n [\n -19.072265625,\n -32.990235559651055\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5628b730e4b0d158f5926c17","contributors":{"authors":[{"text":"Grace, Kathryn","contributorId":145815,"corporation":false,"usgs":false,"family":"Grace","given":"Kathryn","email":"","affiliations":[{"id":7215,"text":"University of Utah Dept. of Geography","active":true,"usgs":false}],"preferred":false,"id":565375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davenport, Frank","contributorId":145816,"corporation":false,"usgs":false,"family":"Davenport","given":"Frank","email":"","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":565376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Heidi","contributorId":149327,"corporation":false,"usgs":false,"family":"Hanson","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":577984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shukla, Shraddhanand","contributorId":140735,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","email":"","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":565377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156206,"text":"ds956 - 2015 - Chemical and ancillary data associated with bed sediment, young of year Bluefish (Pomatomus saltatrix) tissue, and mussel (Mytilus edulis and Geukensia demissa) tissue collected after Hurricane Sandy in bays and estuaries of New Jersey and New York, 2013–14","interactions":[],"lastModifiedDate":"2015-09-29T10:17:09","indexId":"ds956","displayToPublicDate":"2015-09-09T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"956","title":"Chemical and ancillary data associated with bed sediment, young of year Bluefish (Pomatomus saltatrix) tissue, and mussel (Mytilus edulis and Geukensia demissa) tissue collected after Hurricane Sandy in bays and estuaries of New Jersey and New York, 2013–14","docAbstract":"This report describes the methods and data associated with a reconnaissance study of young of year bluefish and mussel tissue samples as well as bed sediment collected as bluefish habitat indicators during August 2013–April 2014 in New Jersey and New York following Hurricane Sandy in October 2012. This study was funded by the Disaster Relief Appropriations Act of 2013 (PL 113-2) and was conducted by the U.S. Geological Survey (USGS) in cooperation with the National Oceanic and Atmospheric Administration (NOAA).
\nYoung of year Pomatomus saltatrix (bluefish) were collected from nine sites in New Jersey (N.J.) and New York (N.Y.) including Barnegat Bay, N.J., Sandy Hook Bay, N.J., Jamaica Bay, N.Y., and Great South Bay, N.Y., and analyzed for indicators of health and chemical contamination. At each bluefish sampling location, bed sediment was also collected and analyzed for a suite of contaminants. Resident mussels, Mytilus edulis (blue mussels) and (or) Geukensia demissa (ribbed mussels), were collected from 11 historic NOAA Mussel Watch Program sites along the N.J. and N.Y. coastlines in the winter/spring of 2014 and analyzed for contaminants. Individual age of a subset of the mussels sampled was also determined at each site.
\nBed sediment samples were analyzed for a suite of organic contaminants including 34 polychlorinated biphenyl (PCB) congeners, 28 polybrominated diphenyl ether (PBDE) congeners, 24 organochlorine pesticides (OCPs), 53 polycyclic aromatic hydrocarbons (PAHs) and alkylated PAHs, 33 aliphatic hydrocarbons (AHs), and 10 petroleum biomarkers (steranes and hopanes). Bed sediment collected from the Navesink River (Sandy Hook, N.J.), Metedeconk River (Barnegat Bay, N.J.), and Toms River (Barnegat Bay, N.J.) had the highest concentrations of contaminants compared to the other sites.
\nBluefish and mussel tissue collected throughout the study area was analyzed for 34 PCB congeners, 28 PBDE congeners, and 24 OCPs. Thirty-three PCB congeners, 22 PBDE congeners, and 24 OCPs were detected in the bluefish analyzed. The highest median concentrations of total PCBs were present in tissue from Jamaica Bay, N.Y., whereas the highest median concentrations of total PBDEs and total OCPs were present in tissue from Sandy Hook Bay. Of the OCPs detected, p,p’-DDE was found in 99 percent (%) of the tissue samples and at the highest median concentrations compared to the other OCPs.
\nFish health assessments were conducted on 20 fish from the 4 bays. Results indicate that the sex ratio and the mean total length varied by site. Physical fish damage, such as lesions and parasites, was observed in fish from all four bays. The most common parasite observed visually was the presence of Livoneca redmanii, an ectoparasitic gill isopod, which can cause localized gill erosion. The prevalence of the gill isopod infestation ranged from 20% at Great South Bay, N.Y., to 35% at Jamaica Bay, N.Y.
\nTwenty three PCB congeners, 9 PBDE congeners, and 20 OCPs were detected in composite mussel samples collected throughout the study area. The co-eluting PCB congeners 153 and 132, PBDE 47, 99, and 100, and p,p’-DDE were detected in samples from each site. The highest median concentrations of PCBs and PBDEs were present in mussels from Raritan Bay, N.Y., whereas the highest median concentrations of OCPs were present in mussels from Fire Island Inlet, N.Y., and Shark River, N.J. Mytilus edulis (blue mussels) and Geukensia demissa (ribbed mussels) were thin-sectioned and aged. The blue mussels collected ranged in age from 4 to 13 years, and the ribbed mussels ranged in age from 3 to 12 years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds956","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"Smalling, K.L., Deshpande, A.D., Blazer, V.S., Galbraith, H., Dockum, B.W., Romanok, K.M., Colella, K., Deetz, A.C., Fisher, I.J., Imbrigiotta, T.E., Sharack, B., Sumner, L, Timmons, D., Trainor, J., Wieczorek, D, Samson, J., Reilly, T.J., and Focazio, M.J., 2015, Chemical and ancillary data associated with bed sediment, young of year bluefish (Pomatomus saltatrix) tissue, and mussel (Mytilus edulis and Geukensia demissa) tissue collected after Hurricane Sandy in bays and estuaries of New Jersey and New York, 2013–14: U.S. Geological Survey Data Series 956, 18 p., https://dx.doi.org/10.3133/ds956.","productDescription":"Report: x, 18 p.; Tables","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066280","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":307934,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0956/ds956.pdf","text":"Report","size":"12.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 956"},{"id":307935,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0956/ds956_tables.xlsx","text":"DS 956 Tables","size":"226 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 956","linkHelpText":"Excel workbook containing tables 1–21"},{"id":307933,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0956/coverthb.jpg"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.39117431640625,\n 40.065460682065535\n ],\n [\n -74.39117431640625,\n 41.32320110223851\n ],\n [\n -71.88079833984375,\n 41.32320110223851\n ],\n [\n -71.88079833984375,\n 40.065460682065535\n ],\n [\n -74.39117431640625,\n 40.065460682065535\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
http://nj.usgs.gov
The Grasshopper Sparrow (Ammodramus savannarum) breeds in grassland habitats throughout much of the U.S., southern and southeastern Canada, and northern Mexico. Additional subspecies are resident in Central America, northern South America, and the Caribbean. It winters primarily in the coastal states of the southeastern U.S., southern portions of the southwestern states, and in Mexico, Central America, and the Caribbean. The species prefers relatively open grassland with intermediate grass height and density and patchy bare ground; because it is widely distributed across different grassland types in North America, it selects different vegetation structure and species composition depending on what is available. In the winter, they use a broader range of grassland habitats including open grasslands, as well as weedy fields and grasslands with woody vegetation. Analyses show significant range-wide population declines from the late 1960s through the present, primarily caused by habitat loss, degradation, and fragmentation. Grasshopper Sparrow is still a relatively common and broadly distributed species, but because of significant population declines and stakeholder concerns, the species is considered of conservation concern nationally and at the state level for numerous states. Many factors, often related to different grassland management practices (e.g., grazing, burning, mowing, management of shrub encroachment, etc.) throughout the species’ range, have impacts on Grasshopper Sparrow distribution, abundance, and reproduction and may represent limiting factors or threats given steep declines in this species’ population. Because of the concerns for this species, Grasshopper Sparrow has been identified as a focal species by the U.S. Fish and Wildlife Service (USFWS) and this Status Assessment and Conservation Plan for Grasshopper Sparrow has been developed. Through literature searches and input from stakeholders across its range, this plan presents information about Grasshopper Sparrow population status, distribution, habitat needs, threats and limiting factors; synthesis of these resources has identified recommended action items addressing population status and trends, habitat conservation, management, research, inventory and monitoring, and education and outreach components that will facilitate Grasshopper Sparrow conservation across its full annual cycle.
","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Lakewood, CO","collaboration":"U. S. Fish & Wildlife Service","usgsCitation":"Ruth, J.M., 2015, Status assessment and conservation plan for the Grasshopper Sparrow (Ammodramus savannarum) (Version 1.0), 105 p.","productDescription":"105 p.","numberOfPages":"111","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-062608","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":307978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307765,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/mountain-prairie/species/birds/grasshoppersparrow/index.html"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.296875,\n 1.4061088354351594\n ],\n [\n -134.296875,\n 53.9560855309879\n ],\n [\n -50.9765625,\n 53.9560855309879\n ],\n [\n -50.9765625,\n 1.4061088354351594\n ],\n [\n -134.296875,\n 1.4061088354351594\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f14a1ee4b0dacf699eb944","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":570919,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173491,"text":"70173491 - 2015 - Waterbird use of catfish ponds and migratory bird habitat initiative wetlands in Mississippi","interactions":[],"lastModifiedDate":"2016-06-22T11:36:21","indexId":"70173491","displayToPublicDate":"2015-09-09T06:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Waterbird use of catfish ponds and migratory bird habitat initiative wetlands in Mississippi","docAbstract":"Aquaculture can provide important surrogate habitats for waterbirds. In response to the 2010 Deepwater Horizon oil spill, the National Resource Conservation Service enacted the Migratory Bird Habitat Initiative through which incentivized landowners provided wetland habitats for migrating waterbirds. Diversity and abundance of waterbirds in six production and four idled aquaculture facilities in the Mississippi Alluvial Valley were estimated during the winters of 2011–2013. Wintering waterbirds exhibited similar densities on production (i.e., ∼22 birds/ha) and idled (i.e., ∼20 birds/ha) sites. A total of 42 species were found using both types of aquaculture wetlands combined, but there was considerable departure in bird guilds occupying the two wetland types. The primary users of production ponds were diving and dabbling ducks and American coots. However, idled ponds, with varying water depths (e.g., mudflats to 20 cm) and diverse emergent vegetation-water interspersion, attracted over 30 species of waterbirds and, on average, had more species of waterbirds from fall through early spring than catfish production ponds. Conservation through the Migratory Bird Habitat Initiative was likely responsible for this difference. Our results suggest production and idled Migratory Bird Habitat Initiative aquaculture impoundments produced suitable conditions for various waterbird species and highlight the importance of conservation programs on private lands that promote diversity in vegetation structure and water depths to enhance waterbird diversity.
","language":"English","publisher":"Waterbird Society","doi":"10.1675/063.038.0307","usgsCitation":"Feaga, J.S., Vilella, F., Kaminski, R.M., and Davis, J., 2015, Waterbird use of catfish ponds and migratory bird habitat initiative wetlands in Mississippi: Waterbirds, v. 38, no. 3, p. 269-281, https://doi.org/10.1675/063.038.0307.","productDescription":"13 p.","startPage":"269","endPage":"281","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064945","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":324204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","county":"Humphreys County, Holmes County, Leflore County, Sunflower County, Washington County, Yazoo County","otherGeospatial":"Mississippi Alluvial 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Brian","contributorId":172316,"corporation":false,"usgs":false,"family":"Davis","given":"J. Brian","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":637193,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157075,"text":"70157075 - 2015 - Factors controlling the abundance of rainbow trout in the Colorado River in Grand Canyon in a reach utilized by endangered humpback chub","interactions":[],"lastModifiedDate":"2016-07-07T10:16:54","indexId":"70157075","displayToPublicDate":"2015-09-08T15:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Factors controlling the abundance of rainbow trout in the Colorado River in Grand Canyon in a reach utilized by endangered humpback chub","docAbstract":"We estimated the abundance, survival, movement, and recruitment of non-native rainbow trout in the Colorado River in Grand Canyon to determine what controls their abundance near the Little Colorado River (LCR) confluence where endangered humpback chub rear. Over a 3-year period, we tagged more than 70,000 trout and recovered over 8,200 tagged fish. Trout density was highest (10,000-25,000 fish/km) in the reach closest to Glen Canyon Dam where the majority of trout recruitment occurs, and was 30-50-fold lower (200-800 fish/km) in reaches near the LCR confluence ~100 km downstream. The extent of rainbow trout movement was limited with less than 1% of recaptures making movements greater than 20 km. However, due to high trout densities in upstream source areas, this small dispersal rate was sufficient to explain the 3-fold increase in the relatively small population near the LCR. Reducing dispersal rates of trout from upstream sources is the most feasible solution to maintain low densities near the LCR to minimize negative effects of competition and predation on humpback chub.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0101","usgsCitation":"Korman, J., Yard, M., and Yackulic, C.B., 2015, Factors controlling the abundance of rainbow trout in the Colorado River in Grand Canyon in a reach utilized by endangered humpback chub: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 1, p. 105-124, https://doi.org/10.1139/cjfas-2015-0101.","productDescription":"20 p.","startPage":"105","endPage":"124","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-04-01","temporalEnd":"2014-09-30","ipdsId":"IP-063596","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471804,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0101","text":"External Repository"},{"id":307957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.94793701171875,\n 36.07352228885536\n ],\n [\n -111.94793701171875,\n 36.86424015502008\n ],\n [\n -111.588134765625,\n 36.86424015502008\n ],\n [\n -111.588134765625,\n 36.07352228885536\n ],\n [\n -111.94793701171875,\n 36.07352228885536\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55eff8a8e4b0dacf699e9fd5","contributors":{"authors":[{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":571509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":2889,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","email":"myard@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":571508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":571510,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70169033,"text":"70169033 - 2015 - How spatio-temporal habitat connectivity affects amphibian genetic structure","interactions":[],"lastModifiedDate":"2016-06-20T10:32:34","indexId":"70169033","displayToPublicDate":"2015-09-08T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5062,"text":"Frontiers in Genetics","onlineIssn":"1664-8021","active":true,"publicationSubtype":{"id":10}},"title":"How spatio-temporal habitat connectivity affects amphibian genetic structure","docAbstract":"Heterogeneous landscapes and fluctuating environmental conditions can affect species dispersal, population genetics, and genetic structure, yet understanding how biotic and abiotic factors affect population dynamics in a fluctuating environment is critical for species management. We evaluated how spatio-temporal habitat connectivity influences dispersal and genetic structure in a population of boreal chorus frogs (Pseudacris maculata) using a landscape genetics approach. We developed gravity models to assess the contribution of various factors to the observed genetic distance as a measure of functional connectivity. We selected (a) wetland (within-site) and (b) landscape matrix (between-site) characteristics; and (c) wetland connectivity metrics using a unique methodology. Specifically, we developed three networks that quantify wetland connectivity based on: (i) P. maculata dispersal ability, (ii) temporal variation in wetland quality, and (iii) contribution of wetland stepping-stones to frog dispersal. We examined 18 wetlands in Colorado, and quantified 12 microsatellite loci from 322 individual frogs. We found that genetic connectivity was related to topographic complexity, within- and between-wetland differences in moisture, and wetland functional connectivity as contributed by stepping-stone wetlands. Our results highlight the role that dynamic environmental factors have on dispersal-limited species and illustrate how complex asynchronous interactions contribute to the structure of spatially-explicit metapopulations.
\nReactive nitrogen (Nr) from anthropogenic sources has been altering ecosystem function in lakes of the Rocky Mountains, other regions of western North America, and the Arctic over recent decades. The response of biota in shallow lakes to atmospheric deposition of Nr, however, has not been considered. Benthic algae are dominant in shallow, high-elevation lakes and are less sensitive to nutrient inputs than planktonic algae. Because the benthos is typically more nutrient rich than the water column, shallow lakes are not expected to show evidence of anthropogenic Nr. In this study, we assessed sedimentary evidence for regional Nr deposition, sediment chronology, and the nature of algal community response in five shallow, high-elevation lakes in Grand Teton National Park (GRTE). Over 140 diatom taxa were identified from the sediments, with a relatively high species richness of taxa characteristic of oligotrophic conditions. The diatom assemblages were dominated by benthic taxa, especially motile taxa. The GRTE lakes demonstrate assemblage-wide shifts in diatoms, including 1) synchronous and significant assemblage changes centered on ~1960 AD; 2) pre-1960 assemblages differed significantly from post-1960 assemblages; 3) pre-1960 diatom assemblages fluctuated randomly, whereas post- 1960 assemblages showed directional change; 4) changes in δ15N signatures were correlated with diatom community composition. These results demonstrate recent changes in shallow high18 elevation lakes that are most correlated with anthropogenic Nr. It is also possible, however, that the combined effect of Nr deposition and warming is accelerating species shifts in benthic diatoms. While uncertainties remain about the potential synergy of Nr deposition and warming, this study adds shallow lakes to the growing list of impacted high-elevation localities in western North America.
","language":"English","publisher":"Institute of Arctic and Alpine Research","doi":"10.1657/AAAR0015-008","usgsCitation":"Spaulding, S.A., Otu, M.K., Wolfe, A.P., and Baron, J., 2015, Paleolimnological records of nitrogen deposition in shallow, high-elevation lakes of Grand Teton National Park, Wyoming, USA: Arctic, Antarctic, and Alpine Research, v. 47, no. 4, p. 703-717, https://doi.org/10.1657/AAAR0015-008.","productDescription":"15 p.","startPage":"703","endPage":"717","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062936","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":471806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1657/aaar0015-008","text":"Publisher Index Page"},{"id":307955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.89324951171875,\n 43.56447158721811\n ],\n [\n -110.89324951171875,\n 43.84245116699036\n ],\n [\n -110.67901611328125,\n 43.84245116699036\n ],\n [\n -110.67901611328125,\n 43.56447158721811\n ],\n [\n -110.89324951171875,\n 43.56447158721811\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-05","publicationStatus":"PW","scienceBaseUri":"55eff8a8e4b0dacf699e9fd7","contributors":{"authors":[{"text":"Spaulding, Sarah A. 0000-0002-9787-7743 sspaulding@usgs.gov","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":1157,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","email":"sspaulding@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":571511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otu, Megan K.","contributorId":147387,"corporation":false,"usgs":false,"family":"Otu","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":571513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe, Alexander P.","contributorId":147388,"corporation":false,"usgs":false,"family":"Wolfe","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":12799,"text":"University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":571514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":571512,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157080,"text":"70157080 - 2015 - The Palos Verdes Fault offshore southern California: late Pleistocene to present tectonic geomorphology, seascape evolution and slip rate estimate based on AUV and ROV surveys","interactions":[],"lastModifiedDate":"2015-09-08T13:34:42","indexId":"70157080","displayToPublicDate":"2015-09-08T14:30:00","publicationYear":"2015","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":"The Palos Verdes Fault offshore southern California: late Pleistocene to present tectonic geomorphology, seascape evolution and slip rate estimate based on AUV and ROV surveys","docAbstract":"The Palos Verdes Fault (PVF) is one of few active faults in Southern California that crosses the shoreline and can be studied using both terrestrial and subaqueous methodologies. To characterize the near-seafloor fault morphology, tectonic influences on continental slope sedimentary processes and late Pleistocene to present slip rate, a grid of high-resolution multibeam bathymetric data, and chirp subbottom profiles were acquired with an autonomous underwater vehicle (AUV) along the main trace of PVF in water depths between 250 and 600 m. Radiocarbon dates were obtained from vibracores collected using a remotely operated vehicle (ROV) and ship-based gravity cores. The PVF is expressed as a well-defined seafloor lineation marked by subtle along-strike bends. Right-stepping transtensional bends exert first-order control on sediment flow dynamics and the spatial distribution of Holocene depocenters; deformed strata within a small pull-apart basin record punctuated growth faulting associated with at least three Holocene surface ruptures. An upper (shallower) landslide scarp, a buried sedimentary mound, and a deeper scarp have been right-laterally offset across the PVF by 55 ± 5, 52 ± 4 , and 39 ± 8 m, respectively. The ages of the upper scarp and buried mound are approximately 31 ka; the age of the deeper scarp is bracketed to 17–24 ka. These three piercing points bracket the late Pleistocene to present slip rate to 1.3–2.8 mm/yr and provide a best estimate of 1.6–1.9 mm/yr. The deformation observed along the PVF is characteristic of strike-slip faulting and accounts for 20–30% of the total right-lateral slip budget accommodated offshore Southern California.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015JB011938","usgsCitation":"Brothers, D., Conrad, J.E., Maier, K., Paull, C.K., McGann, M., and Caress, D.W., 2015, The Palos Verdes Fault offshore southern California: late Pleistocene to present tectonic geomorphology, seascape evolution and slip rate estimate based on AUV and ROV surveys: Journal of Geophysical Research B: Solid Earth, v. 120, no. 7, p. 4734-4758, https://doi.org/10.1002/2015JB011938.","productDescription":"25 p.","startPage":"4734","endPage":"4758","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063656","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Palos Verdes Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.39691162109375,\n 33.30987251398259\n ],\n [\n -118.39691162109375,\n 33.8430453147447\n ],\n [\n -117.75421142578125,\n 33.8430453147447\n ],\n [\n -117.75421142578125,\n 33.30987251398259\n ],\n [\n -118.39691162109375,\n 33.30987251398259\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-30","publicationStatus":"PW","scienceBaseUri":"55eff8a9e4b0dacf699e9fe2","chorus":{"doi":"10.1002/2015jb011938","url":"http://dx.doi.org/10.1002/2015jb011938","publisher":"Wiley-Blackwell","authors":"Brothers Daniel S., Conrad James E., Maier Katherine L., Paull Charles K., McGann Mary, Caress David W.","journalName":"Journal of Geophysical Research: Solid Earth","publicationDate":"7/2015"},"contributors":{"authors":[{"text":"Brothers, Daniel S. dbrothers@usgs.gov","contributorId":140096,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","email":"dbrothers@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":571527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":571528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maier, Katherine L.","contributorId":91411,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine L.","affiliations":[],"preferred":false,"id":571529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":571530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGann, Mary L. 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":147188,"corporation":false,"usgs":true,"family":"McGann","given":"Mary L.","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":571531,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caress, David W.","contributorId":147392,"corporation":false,"usgs":false,"family":"Caress","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":571532,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168431,"text":"70168431 - 2015 - Water from air: An overlooked source of moisture in arid and semiarid regions","interactions":[],"lastModifiedDate":"2016-02-12T13:27:56","indexId":"70168431","displayToPublicDate":"2015-09-08T14:30:00","publicationYear":"2015","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":"Water from air: An overlooked source of moisture in arid and semiarid regions","docAbstract":"Water drives the functioning of Earth’s arid and semiarid lands. Drylands can obtain water from sources other than precipitation, yet little is known about how non-rainfall water inputs influence dryland communities and their activity. In particular, water vapor adsorption – movement of atmospheric water vapor into soil when soil air is drier than the overlying air – likely occurs often in drylands, yet its effects on ecosystem processes are not known. By adding 18O-enriched water vapor to the atmosphere of a closed system, we documented the conversion of water vapor to soil liquid water across a temperature range typical of arid ecosystems. This phenomenon rapidly increased soil moisture and stimulated microbial carbon (C) cycling, and the flux of water vapor to soil had a stronger impact than temperature on microbial activity. In a semiarid grassland, we also observed that non-rainfall water inputs stimulated microbial activity and C cycling. Together these data suggest that, during rain-free periods, atmospheric moisture in drylands may significantly contribute to variation in soil water content, thereby influencing ecosystem processes. The simple physical process of adsorption of water vapor to soil particles, forming liquid water, represents an overlooked but potentially important contributor to C cycling in drylands.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Scientific Reports","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"London","doi":"10.1038/srep13767","usgsCitation":"McHugh, T., Morrissey, E.M., Reed, S.C., Hungate, B.A., and Schwartz, E., 2015, Water from air: An overlooked source of moisture in arid and semiarid regions: Scientific Reports, v. 5, https://doi.org/10.1038/srep13767.","productDescription":"6 p.","startPage":"13767","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055077","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep13767","text":"Publisher Index Page"},{"id":318000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-08","publicationStatus":"PW","scienceBaseUri":"56bf1063e4b06458514b696d","contributors":{"authors":[{"text":"McHugh, Theresa","contributorId":166780,"corporation":false,"usgs":false,"family":"McHugh","given":"Theresa","affiliations":[{"id":24512,"text":"Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":620078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrissey, Ember M.","contributorId":166782,"corporation":false,"usgs":false,"family":"Morrissey","given":"Ember","email":"","middleInitial":"M.","affiliations":[{"id":24512,"text":"Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":620080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":620077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hungate, Bruce A.","contributorId":100639,"corporation":false,"usgs":true,"family":"Hungate","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":620081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Egbert","contributorId":166781,"corporation":false,"usgs":false,"family":"Schwartz","given":"Egbert","email":"","affiliations":[{"id":24512,"text":"Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":620079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156560,"text":"ofr20101083Q - 2015 - Seismicity of the Earth 1900‒2013 Mediterranean Sea and vicinity","interactions":[],"lastModifiedDate":"2015-09-09T08:54:41","indexId":"ofr20101083Q","displayToPublicDate":"2015-09-08T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1083","chapter":"Q","title":"Seismicity of the Earth 1900‒2013 Mediterranean Sea and vicinity","docAbstract":"The Mediterranean region is seismically active due to the convergence of the Africa Plate with the Eurasia plate. Present day Africa-Eurasia motion ranges from ~4 millimeters per year (mm/yr) in a northwest-southeast direction in the western Mediterranean to ~10 mm/yr (north-south) in the eastern Mediterranean. The Africa-Eurasia plate boundary is complex, and includes extensional and translational zones in addition to the dominant convergent regimes characterized by subduction and continental collision. This convergence began at approximately 50 million years ago and was associated with the closure of the Tethys Sea; the Mediterranean Sea is all that remains of the Tethys. The highest rates of seismicity in the Mediterranean region are found along the Hellenic subduction zone of southern Greece and the North Anatolian Fault Zone of northwestern Turkey, but significant rates of current seismicity and large historical earthquakes have occurred throughout the region spanning the Mediterranean Sea.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101083Q","usgsCitation":"Herman, M.W., Hayes, G.P., Smoczyk, G.M., Turner, Rebecca, Turner, Bethan, Jenkins, Jennifer, Davies, Sian, Parker, Amy, Sinclair, Allison, Benz, H.M., Furlong, K.P., and Villaseñor, Antonio, 2015, Seismicity of the Earth 1900–2013, Mediterranean Sea and vicinity: U.S. Geological Survey Open-File Report 2010–1083-Q, scale 1:10,000,000, https://dx.doi.org/10.3133/ofr20101083Q.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065794","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":307744,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2010/1083/q/coverthb.jpg"},{"id":307745,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1083/q/ofr20101083q.pdf","text":"Report","size":"78.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2010-1083-Q"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -18.45703125,\n 22.431340156360594\n ],\n [\n -18.45703125,\n 57.040729838360875\n ],\n [\n 51.328125,\n 57.040729838360875\n ],\n [\n 51.328125,\n 22.431340156360594\n ],\n [\n -18.45703125,\n 22.431340156360594\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, Mail Stop 966
Denver, CO 80225
http://geohazards.cr.usgs.gov/
Subglacial discharge influences glacier basal motion and erodes and redeposits sediment. At tidewater glacier termini, discharge drives submarine terminus melting, affects fjord circulation, and is a central component of proglacial marine ecosystems. However, our present inability to track subglacial discharge and its variability significantly hinders our understanding of these processes. Here we report observations of hourly to seasonal variations in 1.5–10 Hz seismic tremor that strongly correlate with subglacial discharge but not with basal motion, weather, or discrete icequakes. Our data demonstrate that vigorous discharge occurs from tidewater glaciers during summer, in spite of fast basal motion that could limit the formation of subglacial conduits, and then abates during winter. Furthermore, tremor observations and a melt model demonstrate that drainage efficiency of tidewater glaciers evolves seasonally. Glaciohydraulic tremor provides a means by which to quantify subglacial discharge variations and offers a promising window into otherwise obscured glacierized environments.
","language":"English","publisher":"Wiley","doi":"10.1002/2015GL064590","usgsCitation":"Bartholomaus, T.C., Amundson, J.M., Walter, J., O’Neel, S., West, M.E., and Larsen, C.F., 2015, Subglacial discharge at tidewater glaciers revealed by seismic tremor: Geophysical Research Letters, v. 42, no. 15, p. 6391-6398, https://doi.org/10.1002/2015GL064590.","productDescription":"8 p.","startPage":"6391","endPage":"6398","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060356","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":471808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064590","text":"Publisher Index Page"},{"id":307956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greenland, United States","state":"Alaska","otherGeospatial":"Columbia Glacier, Hubbard Glacier, Jakobshavn Isbræ, Mendenhall Glacier, 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Most studies attribute this purely to underlying physical templates, such as groundwater salinity gradients caused by tidal flux and topography. However, a few recent studies hypothesize that self-reinforcing feedback between vegetation and vadose zone salinity are also involved and create a bistable situation in which either halophytic dominated habitat or freshwater plant communities may dominate as alternative stable states. Here, we revisit the bistability hypothesis and demonstrate the mechanisms that result in bistability. We demonstrate with remote sensing imagery the sharp boundaries between freshwater hardwood hammock communities in southern Florida and halophytic communities such as buttonwood hammocks and mangroves. We further document from the literature how transpiration of mangroves and freshwater plants respond differently to vadose zone salinity, thus altering the salinity through feedback. Using mathematical models, we show how the self-reinforcing feedback, together with physical template, controls the ecotones between halophytic and freshwater communities. Regions of bistability along environmental gradients of salinity have the potential for large-scale vegetation shifts following pulse disturbances such as hurricane tidal surges in Florida, or tsunamis in other regions. The size of the region of bistability can be large for low-lying coastal habitat due to the saline water table, which extends inland due to salinity intrusion. We suggest coupling ecological and hydrologic processes as a framework for future studies.
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We defined the minimum stover requirement (MSR) to maintain current soil organic carbon levels and then estimated current and future soil carbon (C), nitrogen (N), phosphorus (P), and potassium (K) budgets for various stover harvest scenarios. Analyses for 2006 through 2010 across the entire Corn Belt indicated that currently, 28 Tg or 1.6 Mg ha−1 of stover could be sustainably harvested from 17.95 million hectares (Mha) with N, P, and K removal of 113, 26, and 47 kg ha−1, respectively, and C removal for that period was estimated to be 4.55 Mg C ha−1. Assuming continued yield increases and a planted area of 26.74 Mha in 2050, 77.4 Tg stover (or 2.4 Mg ha−1) could be sustainably harvested with N, P, and K removal of 177, 37, and 72 kg ha−1, respectively, along with C removal of ∼6.57 Mg C ha−1. Although there would be significant variation across the region, harvesting only the excess over the MSR under current fertilization rates would result in a small depletion of soil N (−5 ± 27 kg ha−1) and K (−20 ± 31 kg ha−1) and a moderate surplus of P (36 ± 18 kg ha−1). Our 2050 projections based on continuing to keep the MSR, but having higher yields indicate that soil N and K deficits would become larger, thus emphasize the importance of balancing soil nutrient supply with crop residue removal.
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The methods include a physics‐based model by Hartzell et al. (1999, 2005), a stochastic source‐based model by Boore (2009), and a stochastic site‐based model by Rezaeian and Der Kiureghian (2010, 2012). The ground‐motion dataset consists of 40 stations within 600 km of the epicenter. Several metrics are used to validate the simulations: (1) overall bias of response spectra and Fourier spectra (from 0.1 to 10 Hz); (2) spatial distribution of residuals for GMRotI50 peak ground acceleration (PGA), peak ground velocity, and pseudospectral acceleration (PSA) at various periods; (3) comparison with ground‐motion prediction equations (GMPEs) for the eastern United States. Our results show that (1) the physics‐based model provides satisfactory overall bias from 0.1 to 10 Hz and produces more realistic synthetic waveforms; (2) the stochastic site‐based model also yields more realistic synthetic waveforms and performs superiorly for frequencies greater than about 1 Hz; (3) the stochastic source‐based model has larger bias at lower frequencies (<0.5 Hz) and cannot reproduce the varying frequency content in the time domain. The spatial distribution of GMRotI50 residuals shows that there is no obvious pattern with distance in the simulation bias, but there is some azimuthal variability. The comparison between synthetics and GMPEs shows similar fall‐off with distance for all three models, comparable PGA and PSA amplitudes for the physics‐based and stochastic site‐based models, and systematic lower amplitudes for the stochastic source‐based model at lower frequencies (<0.5 Hz).
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Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":541902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":541903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":541904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156414,"text":"ofr20151158 - 2015 - Range-wide network of priority areas for greater sage-grouse - a design for conserving connected distributions or isolating individual zoos?","interactions":[{"subject":{"id":70156414,"text":"ofr20151158 - 2015 - Range-wide network of priority areas for greater sage-grouse - a design for conserving connected distributions or isolating individual zoos?","indexId":"ofr20151158","publicationYear":"2015","noYear":false,"title":"Range-wide network of priority areas for greater sage-grouse - a design for conserving connected distributions or isolating individual zoos?"},"predicate":"SUPERSEDED_BY","object":{"id":70179852,"text":"70179852 - 2017 - Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory","indexId":"70179852","publicationYear":"2017","noYear":false,"title":"Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory"},"id":1}],"supersededBy":{"id":70179852,"text":"70179852 - 2017 - Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory","indexId":"70179852","publicationYear":"2017","noYear":false,"title":"Range-wide connectivity of priority areas for Greater Sage-Grouse: Implications for long-term conservation from graph theory"},"lastModifiedDate":"2017-11-22T15:50:32","indexId":"ofr20151158","displayToPublicDate":"2015-09-08T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1158","title":"Range-wide network of priority areas for greater sage-grouse - a design for conserving connected distributions or isolating individual zoos?","docAbstract":"The network of areas delineated in 11 Western States for prioritizing management of greater sage-grouse (Centrocercus urophasianus) represents a grand experiment in conservation biology and reserve design. We used centrality metrics from social network theory to gain insights into how this priority area network might function. The network was highly centralized. Twenty of 188 priority areas accounted for 80 percent of the total centrality scores. These priority areas, characterized by large size and a central location in the range-wide distribution, are strongholds for greater sage-grouse populations and also might function as sources. Mid-ranking priority areas may serve as stepping stones because of their location between large central and smaller peripheral priority areas. The current network design and conservation strategy has risks. The contribution of almost one-half (n = 93) of the priority areas combined for less than 1 percent of the cumulative centrality scores for the network. These priority areas individually are likely too small to support viable sage-grouse populations within their boundary. Without habitat corridors to connect small priority areas either to larger priority areas or as a clustered group within the network, their isolation could lead to loss of sage-grouse within these regions of the network.
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777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov/
The invasive Silver Carp (Hypophthalmichthys molitrix) dominate large regions of the Mississippi River drainage and continue to expand their range northward threatening the Laurentian Great Lakes. This study found that complex broadband sound (0–10 kHz) is effective in altering the behavior of Silver Carp with implications for deterrent barriers or potential control measures (e.g., herding fish into nets). The phonotaxic response of Silver Carp was investigated using controlled experiments in outdoor concrete ponds (10 × 4.9 × 1.2 m). Pure tones (500–2000 Hz) and complex sound (underwater field recordings of outboard motors) were broadcast using underwater speakers. Silver Carp always reacted to the complex sounds by exhibiting negative phonotaxis to the sound source and by alternating speaker location, Silver Carp could be directed consistently, up to 37 consecutive times, to opposite ends of the large outdoor pond. However, fish habituated quickly to pure tones, reacting to only approximately 5 % of these presentations and never showed more than two consecutive responses. Previous studies have demonstrated the success of sound barriers in preventing Silver Carp movement using pure tones and this research suggests that a complex sound stimulus would be an even more effective deterrent.
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Mensinger, 2015, Acoustical deterrence of Silver Carp (Hypophthalmichthys molitrix): Biological Invasions, v. 17, no. 12, p. 3383-3392, https://doi.org/10.1007/s10530-015-0964-6.","productDescription":"10 p.","startPage":"3383","endPage":"3392","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061099","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":307944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"17","issue":"12","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-25","publicationStatus":"PW","scienceBaseUri":"55eff8a6e4b0dacf699e9fcf","contributors":{"authors":[{"text":"Brooke J. Vetter","contributorId":140352,"corporation":false,"usgs":false,"family":"Brooke J. 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Mensinger","contributorId":140354,"corporation":false,"usgs":false,"family":"Allen F. Mensinger","affiliations":[{"id":13467,"text":"Biology Department, University of Minnesota, Duluth","active":true,"usgs":false}],"preferred":false,"id":545327,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154842,"text":"70154842 - 2015 - Potential direct and indirect effects of climate change on a shallow natural lake fish assemblage","interactions":[],"lastModifiedDate":"2015-10-23T14:45:22","indexId":"70154842","displayToPublicDate":"2015-09-07T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Potential direct and indirect effects of climate change on a shallow natural lake fish assemblage","docAbstract":"Much uncertainty exists around how fish communities in shallow lakes will respond to climate change. In this study, we modelled the effects of increased water temperatures on consumption and growth rates of two piscivores (northern pike [Esox lucius] and largemouth bass [Micropterus salmoides]) and examined relative effects of consumption by these predators on two prey species (bluegill [Lepomis macrochirus] and yellow perch [Perca flavescens]). Bioenergetics models were used to simulate the effects of climate change on growth and food consumption using predicted 2040 and 2060 temperatures in a shallow Nebraska Sandhill lake, USA. The patterns and magnitude of daily and cumulative consumption during the growing season (April–October) were generally similar between the two predators. However, growth of northern pike was always reduced (−3 to −45% change) compared to largemouth bass that experienced subtle changes (4 to −6% change) in weight by the end of the growing season. Assuming similar population size structure and numbers of predators in 2040–2060, future consumption of bluegill and yellow perch by northern pike and largemouth bass will likely increase (range: 3–24%), necessitating greater prey biomass to meet future energy demands. The timing of increased predator consumption will likely shift towards spring and fall (compared to summer), when prey species may not be available in the quantities required. Our findings suggest that increased water temperatures may affect species at the edge of their native range (i.e. northern pike) and a potential mismatch between predator and prey could exist.
","language":"English","publisher":"Munksgaard","publisherLocation":"Copenhagen","doi":"10.1111/eff.12248","usgsCitation":"Breeggemann, J.J., Kaemingk, M.A., DeBates, T., Paukert, C.P., Krause, J., Letvin, A.P., Stevens, T.M., Willis, D.W., and Chipps, S.R., 2015, Potential direct and indirect effects of climate change on a shallow natural lake fish assemblage: Ecology of Freshwater Fish, 13 p., https://doi.org/10.1111/eff.12248.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045842","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":310609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","county":"Cherry","otherGeospatial":"Valentine National Wildlife Refuge","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-102.0829,42.9979],[-102.0007,42.9973],[-101.9652,42.9971],[-101.7528,42.9958],[-101.6775,42.9953],[-101.2277,42.9953],[-100.7509,42.9947],[-100.6721,42.9949],[-100.3938,42.996],[-100.1984,42.997],[-100.1985,42.8461],[-100.1984,42.782],[-100.184,42.7829],[-100.1837,42.4338],[-100.1675,42.4348],[-100.1667,42.0881],[-100.2675,42.0871],[-100.6156,42.0872],[-100.73,42.0885],[-100.8444,42.0896],[-100.9582,42.0897],[-100.9841,42.09],[-101.1016,42.0913],[-101.1926,42.0914],[-101.3094,42.0925],[-101.3323,42.0927],[-101.4097,42.0942],[-101.4251,42.0936],[-101.4492,42.0933],[-101.6861,42.0945],[-101.7733,42.0938],[-101.803,42.0934],[-101.8902,42.0962],[-101.9199,42.0958],[-102.0065,42.0958],[-102.0393,42.0962],[-102.0387,42.1826],[-102.0402,42.4448],[-102.0669,42.4448],[-102.0664,42.5302],[-102.0665,42.7867],[-102.0846,42.7864],[-102.0836,42.9606],[-102.0829,42.9979]]]},\"properties\":{\"name\":\"Cherry\",\"state\":\"NE\"}}]}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-07","publicationStatus":"PW","scienceBaseUri":"562b5a31e4b00162522207dc","contributors":{"authors":[{"text":"Breeggemann, Jason J.","contributorId":149395,"corporation":false,"usgs":false,"family":"Breeggemann","given":"Jason","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":578288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaemingk, Mark A.","contributorId":40510,"corporation":false,"usgs":true,"family":"Kaemingk","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":578289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeBates, T.J.","contributorId":57250,"corporation":false,"usgs":true,"family":"DeBates","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":578290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krause, J.","contributorId":56874,"corporation":false,"usgs":true,"family":"Krause","given":"J.","email":"","affiliations":[],"preferred":false,"id":578291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Letvin, Alexander P.","contributorId":149396,"corporation":false,"usgs":false,"family":"Letvin","given":"Alexander","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":578292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stevens, Tanner M.","contributorId":149397,"corporation":false,"usgs":false,"family":"Stevens","given":"Tanner","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":578293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willis, David W.","contributorId":55313,"corporation":false,"usgs":true,"family":"Willis","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":578294,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":578295,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70147396,"text":"ofr20151080 - 2015 - Methods for evaluating potential sources of chloride in surface waters and groundwaters of the conterminous United States","interactions":[],"lastModifiedDate":"2018-04-03T11:36:56","indexId":"ofr20151080","displayToPublicDate":"2015-09-04T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1080","title":"Methods for evaluating potential sources of chloride in surface waters and groundwaters of the conterminous United States","docAbstract":"Chloride exists as a major ion in most natural waters, but many anthropogenic sources are increasing concentrations of chloride in many receiving waters. Although natural concentrations in continental waters can be as high as 200,000 milligrams per liter, chloride concentrations that are suitable for freshwater ecology, human consumption, and agricultural and industrial water uses commonly are on the order of 10 to 1,000 milligrams per liter. “Road salt” frequently is identified as the sole source of anthropogenic chloride, but only about 30 percent of the salt consumed and released to the environment is used for deicing. Furthermore, several studies in Southern States where the use of deicing salt is minimal also show anthropogenic chloride in rising concentrations and in strong correlation to imperviousness and road density. This is because imperviousness and road density also are strongly correlated to population density. The term “road salt” is a misnomer because deicers applied to parking lots, sidewalks, and driveways can be a substantial source of chloride in some catchments because these land covers are comparable to roadways as a percentage of the total impervious area and commonly receive higher salt application rates than some roadways. Other sources of anthropogenic chloride include wastewater, dust control on unpaved roads, fertilizer, animal waste, irrigation, aquaculture, energy production wastes, and landfill leachates. The assumption that rising chloride concentrations in surface water or groundwater is indicative of contamination by deicing chemicals rather than one or more other potential sources may preclude the identification of toxic, carcinogenic, mutagenic, or endocrine-disrupting contaminants that are associated with many sources of elevated chloride concentrations. Once the sources of anthropogenic chloride in an area of interest have been identified and measured, water and solute budgets can be estimated to guide decisionmakers to identify and apply potential mitigation measures that can reduce the problem.
\nScientists, engineers, regulators, and decisionmakers need information about potential sources of chloride, water and solute budgets, and methods for collecting water-quality data to help identify potential sources. This information is needed to evaluate potential sources of chloride in areas where chloride may have adverse ecological effects or may degrade water supplies used for drinking water, agriculture, or industry. Knowledge of potential sources will help decisionmakers identify the best mitigation measures to reduce the total background chloride load, thereby reducing the potential for water-quality exceedances that occur because of superposition on rising background concentrations. Also, knowledge of potential sources may help decisionmakers identify the potential for the presence of contaminants that have toxic, carcinogenic, mutagenic, or endocrine-disrupting effects at concentrations that are lower by orders of magnitude than the chloride concentrations in the source water. This report is a comprehensive synthesis of relevant information, but it is not the result of an exhaustive search for literature on each topic. The potential adverse effects of chloride on infrastructure and the environment are not discussed in this report because these issues have been extensively documented elsewhere.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151080","collaboration":"Prepared in cooperation with the U.S. Department of Transportation Federal Highway Administration Office of Project Development and Environmental Review","usgsCitation":"Granato, G.E., DeSimone, L.A., Barbaro, J.R., and Jeznach, L.C., 2015, Methods for evaluating potential sources of chloride in surface waters and groundwaters of the conterminous United States: U.S. Geological Survey Open-File Report 2015–1080, 89 p., https://dx.doi.org/10.3133/ofr20151080.","productDescription":"ix, 89 p.","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063136","costCenters":[{"id":376,"text":"Massachusetts Water Science 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U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Or visit our Web site at:
http://newengland.water.usgs.gov
Mount St. Helens began erupting in late 2004 following an 18 year quiescence. Swarms of repeating earthquakes accompanied the extrusion of a mostly solid dacite dome over the next 4 years. In some cases the waveforms from these earthquakes evolved slowly, likely reflecting changes in the properties of the volcano that affect seismic wave propagation. We use coda-wave interferometry to quantify small changes in seismic velocity structure (usually <1%) between two similar earthquakes and employed waveforms from several hundred families of repeating earthquakes together to create a continuous function of velocity change observed at permanent stations operated within 20 km of the volcano. The high rate of earthquakes allowed tracking of velocity changes on an hourly time scale. Changes in velocity were largest near the newly extruding dome and likely related to shallow deformation as magma first worked its way to the surface. We found strong correlation between velocity changes and the inverse of real-time seismic amplitude measurements during the first 3 weeks of activity, suggesting that fluctuations of pressure in the shallow subsurface may have driven both seismicity and velocity changes. Velocity changes during the remainder of the eruption likely result from a complex interplay of multiple effects and are not well explained by any single factor alone, highlighting the need for complementary geophysical data when interpreting velocity changes.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015JB012101","usgsCitation":"Hotovec-Ellis, A., Vidale, J., Gomberg, J.S., Thelen, W.A., and Moran, S.C., 2015, Changes in seismic velocity during the first 14 months of the 2004–2008 eruption of Mount St. Helens, Washington: Journal of Geophysical Research B: Solid Earth, v. 120, no. 9, p. 6226-6240, https://doi.org/10.1002/2015JB012101.","productDescription":"15 p.","startPage":"6226","endPage":"6240","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067267","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":309373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-04","publicationStatus":"PW","scienceBaseUri":"560d07ade4b058f706e542fb","contributors":{"authors":[{"text":"Hotovec-Ellis, A.J.","contributorId":147946,"corporation":false,"usgs":false,"family":"Hotovec-Ellis","given":"A.J.","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":573396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vidale, J.E.","contributorId":55849,"corporation":false,"usgs":true,"family":"Vidale","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":573397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":573395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":573398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":573399,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156555,"text":"sir20155117 - 2015 - A conceptual framework and monitoring strategy for movement of saltwater in the coastal plain aquifer system of Virginia","interactions":[],"lastModifiedDate":"2015-09-04T11:18:05","indexId":"sir20155117","displayToPublicDate":"2015-09-04T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5117","title":"A conceptual framework and monitoring strategy for movement of saltwater in the coastal plain aquifer system of Virginia","docAbstract":"A conceptual framework synthesizes previous studies to provide an understanding of conditions, processes, and relations of saltwater to groundwater withdrawal in the Virginia Coastal Plain aquifer system. A strategy for monitoring saltwater movement is based on spatial relations between the saltwater-transition zone and 612 groundwater-production wells that were regulated during 2013 by the Virginia Department of Environmental Quality. The vertical position and lateral distance and direction of the bottom of each production well’s screened interval was calculated relative to previously published groundwater chloride iso-concentration surfaces. Spatial analysis identified 81 production wells completed in the Yorktown-Eastover and Potomac aquifers that are positioned in closest proximity to the 250-milligrams-per-liter chloride surface, and from which chloride concentrations are most likely to increase above the U.S. Environmental Protection Agency’s 250-milligrams-per-liter secondary maximum-contaminant level. Observation wells are specified to distinguish vertical upconing from lateral intrusion among individual production wells. To monitor upconing, an observation well is to be collocated with each production well and completed at about the altitude of the 250-milligrams-per-liter chloride iso-concentration surface. To monitor lateral intrusion, a potential location of an observation well is projected from the bottom of each production well’s screened interval, in the lateral direction to the underlying chloride surface to a distance of 1 mile.
\nMonitoring potential withdrawal-induced movement of saltwater in the Virginia Coastal Plain aquifer system is needed to detect increases in chloride concentration before groundwater-production wells become contaminated. An investigation was undertaken during 2014 by the U.S. Geological Survey in cooperation with the Virginia Department of Environmental Quality, to provide a sound scientific understanding of saltwater movement and guidance to implement a monitoring program. Previous studies have theorized that the saltwater originated primarily from seawater repeatedly emplaced within aquifer sediments during the past about 65 million years. Subsequent flushing by fresh groundwater has been impeded across sediments filling the Chesapeake Bay impact crater. The resulting saltwater-transition zone has been mapped to exhibit a warped and steeply mounded dome shape about centered on the impact crater, and flanked by a nearly level and shallow plateau shape to the southeast. Groundwater chloride concentrations have historically fluctuated during periods of weeks to months, probably as a result of localized vertical upconing beneath individual production wells. Lateral intrusion takes several decades or more to horizontally displace groundwater across distances of about 1 mile toward production wells. Upconing is relatively immediate, but reversible, whereas lateral intrusion under the regionally landward hydraulic gradient may slowly, but permanently reposition the saltwater-transition zone. Upconing coupled with lateral intrusion is theorized to produce composite chloride-concentration trends that vary widely over time in response to changing water demands, and evolve dynamically from hydraulic interactions among multiple neighboring production wells.
\nSome aspects of observation-well construction and sampling are of particular importance to monitoring saltwater movement in the Virginia Coastal Plain aquifer system. Observation wells should feature screened intervals generally of no more than 10 feet that isolate distinct parts of the aquifer, and be thoroughly developed for removal of drilling fluid and introduced water. Presample purging should fully displace stratified saltwater in the well casing upward to the pump. Stable flow should be maintained as field parameters are measured and sample containers are filled with filtered water isolated from the atmosphere and unaffected by surface temperature. Groundwater samples from both upconing and lateral-intrusion observation wells should initially be collected four times per year when wells are newly established, but can be more optimally timed with withdrawal once responses in chloride concentrations can be reliably predicted. Concentrations of major ions (1) determine the dominant chemical composition of groundwater at each well, (2) establish the relative position of the well within the saltwater-transition zone, and (3) provide data quality control by calculation of sample charge balance. For these reasons, samples initially collected for the first year from newly established observation wells should be analyzed for calcium, magnesium, sodium, and potassium cations and chloride, bicarbonate, carbonate, sulfate, fluoride, and bromide anions. Inflection-point titration for alkalinity should be completed in the field. Analysis of chloride and field parameters may be adequate on a long-term basis once the dominant chemical composition at each well is established. Specific conductance may also provide a surrogate for chloride concentration depending on regulatory policy.
\nThe saltwater-movement monitoring strategy is limited and constrained. Relative monitoring needs among groundwater-production wells, and construction of observation wells, depend on the accuracy of previously mapped groundwater chloride iso-concentration surfaces. Production wells in similar proximity to saltwater can differ in aquifer hydraulic conductivity, rates of withdrawal, and screened-interval lengths. Only production wells making withdrawals reported to the Virginia Department of Environmental Quality have been accounted for; undocumented production wells can result in spurious changes in groundwater chloride concentration. Upconing observation wells should be as close as possible to corresponding production wells, so long as production wells are not damaged by borehole deviation. Projected locations of some lateral-intrusion observation wells may be precluded and require adjustment. Depths of upconing and lateral-intrusion observation wells may also require adjustment to be within the same aquifer as their corresponding production wells. Existing unused wells can be adapted as observation wells if differences from specified locations and construction are kept to a minimum and are accounted for. Where multiple production wells are in proximity, a modified monitoring approach may be needed to determine their net effect on changes in chloride concentration, and may require more than one lateral-intrusion observation well depending on the vertical positions of production-well screened intervals.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155117","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality","usgsCitation":"McFarland, E.R., 2015, A conceptual framework and monitoring strategy for movement of saltwater in the Coastal Plain aquifer system of Virginia: U.S. Geological Survey Scientific Investigations Report 2015–5117, 30 p., 1 pl., https://dx.doi.org/10.3133/sir20155117.","productDescription":"Report: vi, 30 p.; Plate: 24 x 35 inches; Table","numberOfPages":"40","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-062904","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":307898,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5117/coverthb.jpg"},{"id":307899,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5117/sir20155117.pdf","text":"Report","size":"1.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5117"},{"id":307900,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2015/5117/sir20155117_attachment1.xlsx","text":"Attachment 1","size":"114 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5117","linkHelpText":"Groundwater-production Wells, Vertical Positions and Lateral Distances and Directions Relative to Chloride Iso-concentration Surfaces, and Projected Locations of Lateral-intrusion Observation Wells"},{"id":307901,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5117/sir20155117_plate1.pdf","text":"Plate 1","size":"399 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5117","linkHelpText":"Locations of Groundwater-Production Wells, Projected Locations of Lateral Intrusion Observation Wells, and the Configuration of the 250-Milligrams-Per-Liter Chloride Iso-Concentration Surface"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.24462890625,\n 36.51405119943165\n ],\n [\n -78.24462890625,\n 38.436379603\n ],\n [\n -75.3387451171875,\n 38.436379603\n ],\n [\n -75.3387451171875,\n 36.51405119943165\n ],\n [\n -78.24462890625,\n 36.51405119943165\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
(804) 261-2600
Or visit the Virginia Water Science Center Web site:
http://va.water.usgs.gov/
In 1826, the paradise that was the Hawaiian Islands was changed forever when the first mosquito species was accidentally introduced to the island of Maui. Though it has not lived up to its potential as a vector of human disease in the islands, Culex quinquefasciatus and the avian pathogens it transmits laid waste to perhaps the world's most remarkable insular avifauna. Today the lowland native forests, once deafening with birdsong, are largely devoid of native birds and Cx. quinquefasciatus has become an inextricable part of our natural areas. In the Hawaiian Islands, the conservation community struggles to keep invasive species out and to control a number of species that have become naturalized. Despite the millions of dollars spent, these efforts never seem enough to slow the erosion of our native biota. The restoration and long-term preservation of Hawaiian forest birds depend on the nearly complete control of mosquito-borne avian disease, an obstacle that to many land managers appears insurmountable. To rally hope in Hawai`i, the conservation community needs to see a success. As a Pacific island, Hawai`i shares similar conservation problems with New Zealand and has often looked to that nation for innovation and inspiration. Mosquito Eradication: The Story of Killing Campto may be our latest inspiration.
\nReview info: Mosquito Eradication: The Story of Killing Campto. By Brian H. Kay, and Richard C. Russell (eds.), 2013. ISBN: 978-1486300570, 280 pp.
","largerWorkTitle":"American Entomologist","language":"English","publisher":"Oxford University Press","doi":"10.1093/ae/tmv049","usgsCitation":"Lapointe, D., 2015, Book review: Mosquito eradication: The story of killing Campto: American Entomologist, v. 61, p. 192-192, https://doi.org/10.1093/ae/tmv049.","productDescription":"1 p.","startPage":"192","endPage":"192","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063988","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":471810,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ae/tmv049","text":"Publisher Index Page"},{"id":312001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-03","publicationStatus":"PW","scienceBaseUri":"5666bbc7e4b06a3ea36c8b03","contributors":{"authors":[{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":581408,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70176955,"text":"70176955 - 2015 - Soil bacterial and fungal community responses to nitrogen addition across soil depth and microhabitat in an arid shrubland","interactions":[],"lastModifiedDate":"2017-05-18T11:35:15","indexId":"70176955","displayToPublicDate":"2015-09-04T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Soil bacterial and fungal community responses to nitrogen addition across soil depth and microhabitat in an arid shrubland","docAbstract":"Arid shrublands are stressful environments, typified by alkaline soils low in organic matter, with biologically-limiting extremes in water availability, temperature, and UV radiation. The widely-spaced plants and interspace biological soil crusts in these regions provide soil nutrients in a localized fashion, creating a mosaic pattern of plant- or crust-associated microhabitats with distinct nutrient composition. With sporadic and limited rainfall, nutrients are primarily retained in the shallow surface soil, patterning biological activity. We examined soil bacterial and fungal community responses to simulated nitrogen (N) deposition in an arid Larrea tridentata-Ambrosia dumosa field experiment in southern Nevada, USA, using high-throughput sequencing of ribosomal RNA genes. To examine potential interactions among the N application, microhabitat and soil depth, we sampled soils associated with shrub canopies and interspace biological crusts at two soil depths (0–0.5 or 0–10 cm) across the N-amendment gradient (0, 7, and 15 kg ha−1 yr−1). We hypothesized that localized compositional differences in soil microbiota would constrain the impacts of N addition to a microhabitat distribution that would reflect highly localized geochemical conditions and microbial community composition. The richness and community composition of both bacterial and fungal communities differed significantly by microhabitat and with soil depth in each microhabitat. Only bacterial communities exhibited significant responses to the N addition. Community composition correlated with microhabitat and depth differences in soil geochemical features. Given the distinct roles of soil bacteria and fungi in major nutrient cycles, the resilience of fungi and sensitivity of bacteria to N amendments suggests that increased N input predicted for many arid ecosystems could shift nutrient cycling toward pathways driven primarily by fungal communities.
The Colorado River and its tributaries supply water to more than 35 million people in the United States and 3 million people in Mexico, irrigating more than 4.5 million acres of farmland, and generating about 12 billion kilowatt hours of hydroelectric power annually. The Upper Colorado River Basin, encompassing more than 110,000 square miles (mi2), contains the headwaters of the Colorado River (also known as the River) and is an important source of snowmelt runoff to the River. Groundwater discharge also is an important source of water in the River and its tributaries, with estimates ranging from 21 to 58 percent of streamflow in the upper basin. Planning for the sustainable management of the Colorado River in future climates requires an understanding of the Upper Colorado River Basin groundwater system. This report documents input datasets for a Soil-Water Balance groundwater recharge model that was developed for the Upper Colorado River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151160","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the USGS Groundwater Resources Program","usgsCitation":"Tillman, F., 2015, Documentation of input datasets for the soil-water balance groundwater recharge model of the Upper Colorado River Basin: U.S. Geological Survey Open-File Report 2015-1160, v, 17 p., https://doi.org/10.3133/ofr20151160.","productDescription":"v, 17 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066684","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":307918,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1160/coverthb.jpg"},{"id":307919,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1160/ofr20151160.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1160 PDF"},{"id":316699,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://water.usgs.gov/lookup/getspatial?ofr_2015_1160_soil-water_balance"}],"country":"Mexico, United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.69937133789062,\n 36.730079507078415\n ],\n [\n -111.68083190917969,\n 36.730079507078415\n ],\n [\n -111.64581298828125,\n 36.72677751526221\n ],\n [\n -111.4068603515625,\n 36.67723060234619\n ],\n [\n -111.181640625,\n 36.54936246839778\n ],\n [\n -110.45654296875,\n 36.46105407505434\n ],\n [\n -109.8687744140625,\n 35.991340960635405\n ],\n [\n -109.5062255859375,\n 35.67068501330236\n ],\n [\n -109.21508789062499,\n 35.48751102385376\n ],\n [\n -108.907470703125,\n 35.34425514918409\n ],\n [\n -107.5286865234375,\n 35.290468565908775\n ],\n [\n -107.2760009765625,\n 35.28150065789119\n ],\n [\n -107.215576171875,\n 35.31736632923788\n ],\n [\n -107.13317871093749,\n 35.460669951495305\n ],\n [\n -106.9793701171875,\n 35.62604706595698\n ],\n [\n -106.94091796875,\n 35.817813158696616\n ],\n [\n -106.875,\n 36.26199220445664\n ],\n [\n -106.842041015625,\n 36.67723060234619\n ],\n [\n -106.864013671875,\n 37.02886944696474\n ],\n [\n -107.0068359375,\n 37.21283151445594\n ],\n [\n -107.33642578124999,\n 37.37015718405753\n ],\n [\n -107.545166015625,\n 37.55328764595765\n ],\n [\n -107.666015625,\n 37.74465712069939\n ],\n [\n -107.42431640625,\n 37.84883250647402\n ],\n [\n -107.07275390625,\n 37.90953361677018\n ],\n [\n -106.6552734375,\n 38.004819966413194\n ],\n [\n -106.666259765625,\n 38.33303882235456\n ],\n [\n -106.69921875,\n 38.685509760012\n ],\n [\n -106.875,\n 39.13006024213511\n ],\n [\n -106.435546875,\n 39.40224434029275\n ],\n [\n -105.9521484375,\n 39.740986355883564\n ],\n [\n -105.908203125,\n 40.34654412118006\n ],\n [\n -105.99609375,\n 40.613952441166596\n ],\n [\n -106.435546875,\n 40.74725696280421\n ],\n [\n -106.69921875,\n 41.64007838467894\n ],\n [\n -107.57812499999999,\n 42.65012181368025\n ],\n [\n -108.10546875,\n 42.84375132629023\n ],\n [\n -108.8525390625,\n 43.13306116240612\n ],\n [\n -109.423828125,\n 43.197167282501276\n ],\n [\n -109.77539062499999,\n 43.42100882994726\n ],\n [\n -109.9072265625,\n 43.67581809328341\n ],\n [\n -110.3466796875,\n 43.83452678223682\n ],\n [\n -110.61035156249999,\n 43.67581809328341\n ],\n [\n -110.74218749999999,\n 43.13306116240612\n ],\n [\n -110.8740234375,\n 42.19596877629178\n ],\n [\n -111.0498046875,\n 41.44272637767212\n ],\n [\n -111.0498046875,\n 41.19518982948959\n ],\n [\n -111.181640625,\n 41.04621681452063\n ],\n [\n -111.37939453125,\n 40.94671366508002\n ],\n [\n -111.533203125,\n 40.613952441166596\n ],\n [\n -111.73095703125,\n 40.245991504199026\n ],\n [\n -111.884765625,\n 39.8928799002948\n ],\n [\n -111.97265625,\n 39.33429742980725\n ],\n [\n -112.2802734375,\n 39.11301365149975\n ],\n [\n -112.43408203124999,\n 38.856820134743636\n ],\n [\n -112.60986328125,\n 38.59970036588819\n ],\n [\n -112.60986328125,\n 38.376115424036016\n ],\n [\n -112.67578124999999,\n 38.22091976683121\n ],\n [\n -112.8955078125,\n 37.87485339352928\n ],\n [\n -113.02734374999999,\n 37.579412513438385\n ],\n [\n -113.02734374999999,\n 37.26530995561875\n ],\n [\n -112.9833984375,\n 37.00255267215955\n ],\n [\n -112.67578124999999,\n 36.756490329505155\n ],\n [\n -112.34619140625,\n 36.5978891330702\n ],\n [\n -111.97265625,\n 36.56260003738548\n ],\n [\n -111.69937133789062,\n 36.730079507078415\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
http://az.water.usgs.gov/