Ground motions of the South Napa earthquake (24 August 2014; M 6.0) were recorded at 19 stations within 20 km and 292 stations within 100 km of the rupture surface trace, generating peak ground motions in excess of 50%g and 50 cm/s in and near Napa Valley. This large dataset allows us to compare the ground motion from the earthquake to existing ground‐motion prediction equations (GMPEs) in considerable detail.
\nUsing the ground‐motion data compiled and reported by ShakeMap (Wald et al., 2000), we examine the peak ground acceleration (PGA) and peak ground velocity (PGV), as well as the pseudospectral acceleration (PSA) at periods of 0.3, 1.0, and 3.0 s. At the higher frequencies, especially PGA, data recorded at close distances (within ∼20 km) are very consistent with the GMPEs, implying a stress drop for this event similar to the median for California, that is, 5 MPa (Baltay and Hanks, 2014). At all frequencies, the attenuation with distance is stronger than the GMPEs would predict, which suggests the attenuation in the Napa and San Francisco Bay delta region is stronger than the average attenuation in California. The spatial plot of the ground‐motion residuals is positive to the north, in both Napa and Sonoma Valleys, consistent with increases in amplitude expected from both the directivity and basin effects. More interestingly, perhaps, there is strong ground motion to the south in the along‐strike direction, particularly for PSA at 1.0 s. These strongly positive residuals align with an older, Quaternary fault structure associated with the Franklin or Southampton fault, potentially indicating a fault‐zone‐guided wave.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140232","usgsCitation":"Baltay Sundstrom, A.S., and Boatwright, J., 2015, Ground motion observations of the 2014 South Napa earthquake: Seismological Research Letters, v. 86, no. 2A, p. 355-360, https://doi.org/10.1785/0220140232.","productDescription":"6 p.","startPage":"355","endPage":"360","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061613","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":299363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.56323242187499,\n 37.330856613297144\n ],\n [\n -123.56323242187499,\n 38.70265930723801\n ],\n [\n -121.51977539062499,\n 38.70265930723801\n ],\n [\n -121.51977539062499,\n 37.330856613297144\n ],\n [\n -123.56323242187499,\n 37.330856613297144\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"86","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-04","publicationStatus":"PW","scienceBaseUri":"551fb9b8e4b027f0aee3bb0a","contributors":{"authors":[{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":540169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":540170,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157128,"text":"70157128 - 2015 - In the path of destruction - eyewitness chronicles of Mount St. Helens","interactions":[],"lastModifiedDate":"2019-11-07T15:02:20","indexId":"70157128","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"In the path of destruction - eyewitness chronicles of Mount St. Helens","docAbstract":"A geologist with intimate knowledge of Mount St. Helens, Richard Waitt chronicles the eruption through unforgettable, riveting narratives—the heart of a masterful chronology that also delivers engrossing science, history, and journalism.
","language":"English","publisher":"Washington State University Press","isbn":"978-0-87422-323-1","usgsCitation":"Waitt, R.B., 2015, In the path of destruction - eyewitness chronicles of Mount St. Helens, 416 p.","productDescription":"416 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044310","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":307982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307981,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wsupress.wsu.edu/product/in-the-path-of-destruction/"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.30804443359375,\n 46.11132565729796\n ],\n [\n -122.30804443359375,\n 46.27103747280261\n ],\n [\n -122.05673217773438,\n 46.27103747280261\n ],\n [\n -122.05673217773438,\n 46.11132565729796\n ],\n [\n -122.30804443359375,\n 46.11132565729796\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15830e4b0dacf699eb967","contributors":{"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":571756,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70141293,"text":"70141293 - 2015 - Differences between main-channel and off-channel food webs in the upper Mississippi River revealed by fatty acid profiles of consumers","interactions":[],"lastModifiedDate":"2020-12-18T12:54:53.344972","indexId":"70141293","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Differences between main-channel and off-channel food webs in the upper Mississippi River revealed by fatty acid profiles of consumers","docAbstract":"Large river systems are often thought to contain a mosaic of patches with different habitat characteristics driven by differences in flow and mixing environments. Off-channel habitats (e.g., backwater areas, secondary channels) can become semi-isolated from main-channel water inputs, leading to the development of distinct biogeochemical environments. Observations of adult bluegill (Lepomis macrochirus) in the main channel of the Mississippi River led to speculation that the main channel offered superior food resources relative to off-channel areas. One important aspect of food quality is the quantity and composition of polyunsaturated fatty acids (PUFA). We sampled consumers from main-channel and backwater habitats to determine whether they differed in PUFA content. Main-channel individuals for relatively immobile species (young-of-year bluegill, zebra mussels [Dreissena polymorpha], and plain pocketbook mussels [Lampsilis cardium]) had significantly greater PUFA content than off-channel individuals. No difference in PUFA was observed for the more mobile gizzard shad (Dorsoma cepedianum), which may move between main-channel and off-channel habitats even at early life-history stages. As off-channel habitats become isolated from main-channel waters, flow and water column nitrogen decrease, potentially improving conditions for nitrogen-fixing cyanobacteria and vascular plants that, in turn, have low PUFA content. We conclude that main-channel food webs of the upper Mississippi River provide higher quality food resources for some riverine consumers as compared to food webs in off-channel habitats.
","language":"English","publisher":"Freshwater Biological Association","doi":"10.5268/IW-5.2.781","usgsCitation":"Larson, J.H., Bartsch, M., Gutreuter, S., Knights, B.C., Bartsch, L., Richardson, W.B., Vallazza, J.M., and Arts, M.T., 2015, Differences between main-channel and off-channel food webs in the upper Mississippi River revealed by fatty acid profiles of consumers: Inland Waters, v. 5, no. 2, p. 101-106, https://doi.org/10.5268/IW-5.2.781.","productDescription":"6 p.","startPage":"101","endPage":"106","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058306","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":381497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.4117431640625,\n 43.61917644272345\n ],\n [\n -91.4117431640625,\n 43.95921358836687\n ],\n [\n -91.17965698242188,\n 43.95921358836687\n ],\n [\n -91.17965698242188,\n 43.61917644272345\n ],\n [\n -91.4117431640625,\n 43.61917644272345\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e4743be4b08de9379b554d","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":540643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Michelle 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":3165,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":540644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gutreuter, Steve","contributorId":139279,"corporation":false,"usgs":false,"family":"Gutreuter","given":"Steve","email":"","affiliations":[{"id":6733,"text":"former UMESC employee, USGS","active":true,"usgs":false}],"preferred":false,"id":540645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":540646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartsch, Lynn 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":3342,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":540647,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":540648,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vallazza, Jonathan M. jvallazza@usgs.gov","contributorId":3651,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":540649,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arts, Michael T.","contributorId":139280,"corporation":false,"usgs":false,"family":"Arts","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":12720,"text":"Environment of Canada, National Water Research Institute","active":true,"usgs":false}],"preferred":false,"id":540650,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70159786,"text":"70159786 - 2015 - The role of water in unconventional in situ energy resource extraction technologies","interactions":[],"lastModifiedDate":"2022-12-06T23:53:56.61256","indexId":"70159786","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"The role of water in unconventional in situ energy resource extraction technologies","docAbstract":"Global trends toward developing new energy resources from lower grade, larger tonnage deposits that are not generally accessible using “conventional” extraction methods involve variations of subsurface in situ extraction techniques including in situ oil shale retorting, hydraulic fracturing of petroleum reservoirs, and in situ recovery of uranium. Although these methods are economically feasible and perhaps result in a smaller above-ground land-use footprint, there remain uncertainties regarding potential subsurface impacts to groundwater. This chapter provides an overview of the role of water in these technologies and the opportunities and challenges for water reuse and recycling.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Food, energy, and water: The chemistry connection","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-800211-7.00007-7","usgsCitation":"Gallegos, T.J., Bern, C., Birdwell, J.E., Haines, S.S., and Engle, M.A., 2015, The role of water in unconventional in situ energy resource extraction technologies, chap. 7 of Food, energy, and water: The chemistry connection, p. 183-215, https://doi.org/10.1016/B978-0-12-800211-7.00007-7.","productDescription":"33 p.","startPage":"183","endPage":"215","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057244","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":311646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565446c6e4b071e7ea53d4dd","contributors":{"editors":[{"text":"Ahuja, Satinder","contributorId":59343,"corporation":false,"usgs":true,"family":"Ahuja","given":"Satinder","affiliations":[],"preferred":false,"id":858433,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":580441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":139818,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":580443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148424,"text":"70148424 - 2015 - Magmatic gas emissions at Holocene volcanic features near Mono Lake, California, and their relation to regional magmatism","interactions":[],"lastModifiedDate":"2018-09-13T13:39:07","indexId":"70148424","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic gas emissions at Holocene volcanic features near Mono Lake, California, and their relation to regional magmatism","docAbstract":"Silicic lavas have erupted repeatedly in the Mono Basin over the past few thousand years, forming the massive domes and coulees of the Mono Craters chain and the smaller island vents in Mono Lake. We report here on the first systematic study of magmatic CO2 emissions from these features, conducted during 2007–2010. Most notably, a known locus of weak steam venting on the summit of North Coulee is actually enclosed in a large area (~ 0.25 km2) of diffuse gas discharge that emits 10–14 t/d of CO2, mostly at ambient temperature. Subsurface gases sampled here are heavily air-contaminated, but after standard corrections are applied, show average δ13C-CO2 of − 4.72‰, 3He/4He of 5.89RA, and CO2/3He of 0.77 × 1010, very similar to the values in fumarolic gas from Mammoth Mountain and the Long Valley Caldera immediately to the south of the basin. If these values also characterize the magmatic gas source at Mono Lake, where CO2 is captured by the alkaline lake water, a magmatic CO2 upflow beneath the lake of ~ 4 t/d can be inferred. Groundwater discharge from the Mono Craters area transports ~ 13 t/d of 14C-dead CO2 as free gas and dissolved carbonate species, and adding in this component brings the estimated total magmatic CO2 output to 29 t/d for the two silicic systems in the Mono Basin. If these emissions reflect intrusion and degassing of underlying basalt with 0.5 wt.% CO2, a modest intrusion rate of 0.00075 km3/yr is indicated. Much higher intrusion rates are required to account for CO2 emissions from Mammoth Mountain and the West Moat of the Long Valley Caldera.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2015.01.008","usgsCitation":"Bergfeld, D., Evans, W.C., Howle, J.F., and Hunt, A.G., 2015, Magmatic gas emissions at Holocene volcanic features near Mono Lake, California, and their relation to regional magmatism: Journal of Volcanology and Geothermal Research, v. 292, p. 70-83, https://doi.org/10.1016/j.jvolgeores.2015.01.008.","productDescription":"14 p.","startPage":"70","endPage":"83","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059936","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":301032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera, Mammoth Mountain, Mono Craters, Mono Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.06639099121094,\n 37.44106442458555\n ],\n [\n -119.06639099121094,\n 38.02862223458794\n ],\n [\n -118.76083374023436,\n 38.02862223458794\n ],\n [\n -118.76083374023436,\n 37.44106442458555\n ],\n [\n -119.06639099121094,\n 37.44106442458555\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"292","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557176b5e4b077dba762a2c5","contributors":{"authors":[{"text":"Bergfeld, D. dbergfel@usgs.gov","contributorId":2069,"corporation":false,"usgs":true,"family":"Bergfeld","given":"D.","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":548172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":548173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howle, James F. 0000-0003-0491-6203 jfhowle@usgs.gov","orcid":"https://orcid.org/0000-0003-0491-6203","contributorId":2225,"corporation":false,"usgs":true,"family":"Howle","given":"James","email":"jfhowle@usgs.gov","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":548175,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70147339,"text":"70147339 - 2015 - Advancing the science of microbial symbiosis to support invasive species management: a case study on Phragmites in the Great Lakes","interactions":[],"lastModifiedDate":"2022-01-03T17:36:27.313367","indexId":"70147339","displayToPublicDate":"2015-02-01T00:00:00","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}},"displayTitle":"Advancing the science of microbial symbiosis to support invasive species management: a case study on Phragmites in the Great Lakes","title":"Advancing the science of microbial symbiosis to support invasive species management: a case study on Phragmites in the Great Lakes","docAbstract":"A growing body of literature supports microbial symbiosis as a foundational principle for the competitive success of invasive plant species. Further exploration of the relationships between invasive species and their associated microbiomes, as well as the interactions with the microbiomes of native species, can lead to key new insights into invasive success and potentially new and effective control approaches. In this manuscript, we review microbial relationships with plants, outline steps necessary to develop invasive species control strategies that are based on those relationships, and use the invasive plant species Phragmites australis (common reed) as an example of how development of microbial-based control strategies can be enhanced using a collective impact approach. The proposed science agenda, developed by the Collaborative for Microbial Symbiosis andPhragmites Management, contains a foundation of sequential steps and mutually-reinforcing tasks to guide the development of microbial-based control strategies for Phragmites and other invasive species. Just as the science of plant-microbial symbiosis can be transferred for use in other invasive species, so too can the model of collective impact be applied to other avenues of research and management.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2015.00095","usgsCitation":"Kowalski, K., Bacon, C.W., Bickford, W.A., Braun, H.A., Clay, K., Leduc-Lapierre, M., Lillard, E., McCormick, M.K., Nelson, E., Torres, M., White, J.W., and Wilcox, D., 2015, Advancing the science of microbial symbiosis to support invasive species management: a case study on Phragmites in the Great Lakes: Frontiers in Microbiology, v. 6, 95, 14 p., https://doi.org/10.3389/fmicb.2015.00095.","productDescription":"95, 14 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057771","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2015.00095","text":"Publisher Index Page"},{"id":299985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-19","publicationStatus":"PW","scienceBaseUri":"55435229e4b0a658d794149d","contributors":{"authors":[{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":545808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bacon, Charles W.","contributorId":62545,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"","middleInitial":"W.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":545809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":545810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braun, Heather A.","contributorId":61325,"corporation":false,"usgs":true,"family":"Braun","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":545811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clay, Keith","contributorId":140472,"corporation":false,"usgs":false,"family":"Clay","given":"Keith","email":"","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":545812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leduc-Lapierre, Michele","contributorId":140473,"corporation":false,"usgs":false,"family":"Leduc-Lapierre","given":"Michele","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":545813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lillard, Elizabeth","contributorId":140474,"corporation":false,"usgs":false,"family":"Lillard","given":"Elizabeth","email":"","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":545814,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCormick, Melissa K.","contributorId":140475,"corporation":false,"usgs":false,"family":"McCormick","given":"Melissa","email":"","middleInitial":"K.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":545815,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nelson, Eric","contributorId":140476,"corporation":false,"usgs":false,"family":"Nelson","given":"Eric","affiliations":[{"id":13511,"text":"Cornell Univesity","active":true,"usgs":false}],"preferred":false,"id":545816,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Torres, Monica","contributorId":140477,"corporation":false,"usgs":false,"family":"Torres","given":"Monica","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":545817,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"White, James W. C.","contributorId":8367,"corporation":false,"usgs":false,"family":"White","given":"James","email":"","middleInitial":"W. C.","affiliations":[],"preferred":false,"id":545818,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilcox, Douglas A.","contributorId":9590,"corporation":false,"usgs":true,"family":"Wilcox","given":"Douglas A.","affiliations":[],"preferred":false,"id":545819,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70176621,"text":"70176621 - 2015 - Genetic diversity and host specificity varies across three genera of blood parasites in ducks of the Pacific Americas Flyway","interactions":[],"lastModifiedDate":"2018-08-16T21:28:57","indexId":"70176621","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity and host specificity varies across three genera of blood parasites in ducks of the Pacific Americas Flyway","docAbstract":"Birds of the order Anseriformes, commonly referred to as waterfowl, are frequently infected by Haemosporidia of the genera Haemoproteus, Plasmodium, and Leucocytozoon via dipteran vectors. We analyzed nucleotide sequences of the Cytochrome b (Cytb) gene from parasites of these genera detected in six species of ducks from Alaska and California, USA to characterize the genetic diversity of Haemosporidia infecting waterfowl at two ends of the Pacific Americas Flyway. In addition, parasite Cytb sequences were compared to those available on a public database to investigate specificity of genetic lineages to hosts of the order Anseriformes. Haplotype and nucleotide diversity of Haemoproteus Cytb sequences was lower than was detected for Plasmodium and Leucocytozoon parasites. Although waterfowl are presumed to be infected by only a single species of Leucocytozoon, L. simondi, diversity indices were highest for haplotypes from this genus and sequences formed five distinct clades separated by genetic distances of 4.9%–7.6%, suggesting potential cryptic speciation. All Haemoproteus andLeucocytozoon haplotypes derived from waterfowl samples formed monophyletic clades in phylogenetic analyses and were unique to the order Anseriformes with few exceptions. In contrast, waterfowl-origin Plasmodium haplotypes were identical or closely related to lineages found in other avian orders. Our results suggest a more generalist strategy for Plasmodiumparasites infecting North American waterfowl as compared to those of the generaHaemoproteus and Leucocytozoon.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0116661","usgsCitation":"Reeves, A.B., Smith, M.M., Meixell, B.W., Fleskes, J.P., and Ramey, A.M., 2015, Genetic diversity and host specificity varies across three genera of blood parasites in ducks of the Pacific Americas Flyway: PLoS ONE, v. 10, no. 2, e0116661; 15 p., https://doi.org/10.1371/journal.pone.0116661.","productDescription":"e0116661; 15 p.","ipdsId":"IP-059454","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0116661","text":"Publisher Index Page"},{"id":328891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2015-02-24","publicationStatus":"PW","scienceBaseUri":"57f7ee45e4b0bc0bec09e977","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":649402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":649403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":649404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":649405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":649406,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178680,"text":"70178680 - 2015 - Ecosystem-atmosphere exchange of CO2 in a temperate herbaceous peatland in the Sanjiang Plain of northeast China","interactions":[],"lastModifiedDate":"2016-12-05T11:18:16","indexId":"70178680","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem-atmosphere exchange of CO2 in a temperate herbaceous peatland in the Sanjiang Plain of northeast China","docAbstract":"Northern peatlands contain a considerable share of the terrestrial carbon pool, which will be affected by future climatic variability. Using the static chamber technique, we investigated ecosystem respiration and soil respiration over two growing seasons (2012 and 2013) in a Carex lasiocarpa-dominated peatland in the Sanjiang Plain in China. We synchronously monitored the environmental factors controlling CO2 fluxes. Ecosystem respiration during these two growing seasons ranged from 33.3 to 506.7 mg CO2–C m−2 h−1. Through step-wise regression, variations in soil temperature at 10 cm depth alone explained 73.7% of the observed variance in log10(ER). The mean Q10 values ranged from 2.1 to 2.9 depending on the choice of depth where soil temperature was measured. The Q10 value at the 10 cm depth (2.9) appears to be a good representation for herbaceous peatland in the Sanjiang Plain when applying field-estimation based Q10values to current terrestrial ecosystem models due to the most optimized regression coefficient (63.2%). Soil respiration amounted to 57% of ecosystem respiration and played a major role in peatland carbon balance in our study. Emphasis on ecosystem respiration from temperate peatlands in the Sanjiang Plain will improve our basic understanding of carbon exchange between peatland ecosystem and the atmosphere.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2014.11.035","usgsCitation":"Zhu, X., Song, C., Swarzenski, C.M., Guo, Y., Zhang, X., and Wang, J., 2015, Ecosystem-atmosphere exchange of CO2 in a temperate herbaceous peatland in the Sanjiang Plain of northeast China: Ecological Engineering, v. 75, p. 16-23, https://doi.org/10.1016/j.ecoleng.2014.11.035.","productDescription":"8 p.","startPage":"16","endPage":"23","ipdsId":"IP-056585","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":331457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Sanjiang Plain","volume":"75","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58468aebe4b04fc80e5236cb","contributors":{"authors":[{"text":"Zhu, Xiaoyan","contributorId":177140,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiaoyan","affiliations":[],"preferred":false,"id":654790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Song, Changchun","contributorId":177141,"corporation":false,"usgs":false,"family":"Song","given":"Changchun","email":"","affiliations":[],"preferred":false,"id":654791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Yuedong","contributorId":177142,"corporation":false,"usgs":false,"family":"Guo","given":"Yuedong","email":"","affiliations":[],"preferred":false,"id":654792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Xinhow","contributorId":177143,"corporation":false,"usgs":false,"family":"Zhang","given":"Xinhow","email":"","affiliations":[],"preferred":false,"id":654793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Jiaoyue","contributorId":177144,"corporation":false,"usgs":false,"family":"Wang","given":"Jiaoyue","email":"","affiliations":[],"preferred":false,"id":654794,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193029,"text":"70193029 - 2015 - Aeolian responses to climate variability during the past century on Mesquite Lake Playa, Mojave Desert","interactions":[],"lastModifiedDate":"2017-11-12T11:23:51","indexId":"70193029","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Aeolian responses to climate variability during the past century on Mesquite Lake Playa, Mojave Desert","docAbstract":"The erosion and deposition of sediments by wind from 1901 to 2013 have created large changes in surface features of Mesquite Lake playa in the Mojave Desert. The decadal scale recurrence of sand-sheet development, migration, and merging with older dunes appears related to decadal climatic changes of drought and wetness as recorded in the precipitation history of the Mojave Desert, complemented by modeled soil-moisture index values. Historical aerial photographs, repeat land photographs, and satellite images document the presence and northward migration of a mid-20th century sand sheet that formed during a severe regional drought that coincided with a multi-decadal cool phase of the Pacific Decadal Oscillation (PDO). The sand sheet slowly eroded during the wetter conditions of the subsequent PDO warm phase (1977–1998) due to a lack of added sediment. Sand cohesion gradually increased in the sand sheet by seasonal additions of salt and clay and by re-precipitation of gypsum, which resulted in the wind-carving of yardangs in the receding sand sheet. Smaller yardangs were aerodynamically shaped from coppice dunes with salt-clay crusts, and larger yardangs were carved along the walls and floor of trough blowouts. Evidence of a 19th century cycle of sand-sheet formation and erosion is indicated by remnants of yardangs, photographed in 1901 and 1916, that were found buried in the mid-20th century sand sheet. Three years of erosion measurements on the playa, yardangs, and sand sheets document relatively rapid wind erosion. The playa has lowered 20 to 40 cm since the mid-20th century and a shallow deflation basin has developed since 1999. Annually, 5–10 cm of surface sediment was removed from yardang flanks by a combination of wind abrasion, deflation, and mass movement. The most effective erosional processes are wind stripping of thin crusts that form on the yardang surfaces after rain events and the slumping of sediment blocks from yardang flanks. These wind-eroded landforms persist several decades to a century before eroding away or being buried by younger sands. On Mesquite Lake playa the climatic history of alternating PDO phases of multi-decadal drought and wetness is recorded twice by the presence of yardangs formed nearly a century apart.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2014.10.024","usgsCitation":"Whitney, J.W., Breit, G.N., Buckingham, S., Reynolds, R.L., Bogle, R., Luo, L., Goldstein, H.L., and Vogel, J.M., 2015, Aeolian responses to climate variability during the past century on Mesquite Lake Playa, Mojave Desert: Geomorphology, v. 230, p. 13-25, https://doi.org/10.1016/j.geomorph.2014.10.024.","productDescription":"13 p.","startPage":"13","endPage":"25","ipdsId":"IP-028706","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":348620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mesquite Lake, Mojave Desert","volume":"230","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c9414b","contributors":{"authors":[{"text":"Whitney, John W. 0000-0003-3824-3692 jwhitney@usgs.gov","orcid":"https://orcid.org/0000-0003-3824-3692","contributorId":804,"corporation":false,"usgs":true,"family":"Whitney","given":"John","email":"jwhitney@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":721690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckingham, S.E.","contributorId":9454,"corporation":false,"usgs":true,"family":"Buckingham","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":721692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":147880,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":721693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bogle, Rian C. 0000-0002-0389-4367 rbogle@usgs.gov","orcid":"https://orcid.org/0000-0002-0389-4367","contributorId":179318,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian C.","email":"rbogle@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":721694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luo, Lifeng","contributorId":176993,"corporation":false,"usgs":false,"family":"Luo","given":"Lifeng","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":147881,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":721696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vogel, John M. 0000-0002-8226-1188 jvogel@usgs.gov","orcid":"https://orcid.org/0000-0002-8226-1188","contributorId":3167,"corporation":false,"usgs":true,"family":"Vogel","given":"John","email":"jvogel@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":721697,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193748,"text":"70193748 - 2015 - Development of a new semi-analytical model for cross-borehole flow experiments in fractured media","interactions":[],"lastModifiedDate":"2018-08-09T12:48:52","indexId":"70193748","displayToPublicDate":"2015-02-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of a new semi-analytical model for cross-borehole flow experiments in fractured media","docAbstract":"Analysis of borehole flow logs is a valuable technique for identifying the presence of fractures in the subsurface and estimating properties such as fracture connectivity, transmissivity and storativity. However, such estimation requires the development of analytical and/or numerical modeling tools that are well adapted to the complexity of the problem. In this paper, we present a new semi-analytical formulation for cross-borehole flow in fractured media that links transient vertical-flow velocities measured in one or a series of observation wells during hydraulic forcing to the transmissivity and storativity of the fractures intersected by these wells. In comparison with existing models, our approach presents major improvements in terms of computational expense and potential adaptation to a variety of fracture and experimental configurations. After derivation of the formulation, we demonstrate its application in the context of sensitivity analysis for a relatively simple two-fracture synthetic problem, as well as for field-data analysis to investigate fracture connectivity and estimate fracture hydraulic properties. These applications provide important insights regarding (i) the strong sensitivity of fracture property estimates to the overall connectivity of the system; and (ii) the non-uniqueness of the corresponding inverse problem for realistic fracture configurations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2014.12.002","usgsCitation":"Roubinet, D., Irving, J., and Day-Lewis, F.D., 2015, Development of a new semi-analytical model for cross-borehole flow experiments in fractured media: Advances in Water Resources, v. 76, p. 97-108, https://doi.org/10.1016/j.advwatres.2014.12.002.","productDescription":"12 p.","startPage":"97","endPage":"108","ipdsId":"IP-061584","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472304,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://serval.unil.ch/notice/serval:BIB_547C366CAA45","text":"External Repository"},{"id":349128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60febde4b06e28e9c25341","contributors":{"authors":[{"text":"Roubinet, Delphine","contributorId":199840,"corporation":false,"usgs":false,"family":"Roubinet","given":"Delphine","email":"","affiliations":[],"preferred":false,"id":720181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irving, James","contributorId":199841,"corporation":false,"usgs":false,"family":"Irving","given":"James","email":"","affiliations":[],"preferred":false,"id":720182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":720180,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173887,"text":"70173887 - 2015 - Assessing the likely effectiveness of multispecies management for imperiled desert fishes with niche overlap analysis","interactions":[],"lastModifiedDate":"2016-06-15T14:14:26","indexId":"70173887","displayToPublicDate":"2015-01-31T05:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the likely effectiveness of multispecies management for imperiled desert fishes with niche overlap analysis","docAbstract":"A critical decision in species conservation is whether to target individual species or a complex of ecologically similar species. Management of multispecies complexes is likely to be most effective when species share similar distributions, threats, and response to threats. We used niche overlap analysis to assess ecological similarity of 3 sensitive desert fish species currently managed as an ecological complex. We measured the amount of shared distribution of multiple habitat and life history parameters between each pair of species. Habitat use and multiple life history parameters, including maximum body length, spawning temperature, and longevity, differed significantly among the 3 species. The differences in habitat use and life history parameters among the species suggest they are likely to respond differently to similar threats and that most management actions will not benefit all 3 species equally. Habitat restoration, frequency of stream dewatering, non-native species control, and management efforts in tributaries versus main stem rivers are all likely to impact each of the species differently. Our results demonstrate that niche overlap analysis provides a powerful tool for assessing the likely effectiveness of multispecies versus single-species conservation plans.
\nNo abstract available.
The geochemical conditions, occurrence of selected trace elements, and processes controlling the occurrence of selected trace elements in groundwater were investigated in groundwater basins of the Desert and Basin and Range (DBR) hydrogeologic provinces in southeastern California as part of the Priority Basin Project (PBP) of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA PBP is designed to provide an assessment of the quality of untreated (raw) groundwater in the aquifer systems that are used for public drinking-water supply. The GAMA PBP is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey and the Lawrence Livermore National Laboratory.
\nThe DBR hydrogeologic provinces consist of 141 defined groundwater basins separated by mountain ranges, faults, and other features. This report presents analyses of data collected from nine study areas within the DBR hydrogeologic provinces: Antelope Valley, Borrego Valley, the Central Desert area, Coachella Valley, Colorado River, Indian Wells Valley, Low-Use Basins of the Mojave and Sonoran Deserts, the Mojave, and Owens Valley. Collectively, these nine study areas are referred to as the DBR study unit. The study unit covers approximately 7,000 square miles and includes the 63 groundwater basins in the DBR hydrogeologic provinces in which groundwater is used for public drinking-water supply. The vast majority of the 223 wells sampled for this study were long-screened production wells used primarily for public supply.
\nUncorrected carbon-14 (14C) groundwater ages for samples collected in the DBR study unit ranged from less than (<) 100 to 33,700 years before present (BP). Sixty-six percent of sample ages were greater than (>) 100 years BP, and 40 percent were >3,800 years BP. Samples collected from wells located adjacent to mountain-front recharge areas or major surface-water features generally had younger groundwater ages than did samples collected from wells located away from mountain fronts or towards the distal ends of basin groundwater flow paths. Most groundwater sampled in the DBR study unit had alkaline pH: 89 percent of sample pH values ranged from 7.1 to 9.8, with 37 percent greater than or equal to (≥) 7.9. Groundwater age was significantly correlated (positively) with pH, likely because silicate weathering is a primary control on groundwater pH and is a slow process. The oxidation-reduction (redox) condition of the groundwater sampled in the DBR study unit was predominantly oxic (71 percent), except in the Colorado River study area where organic-rich fluvial aquifers provide the electron donors necessary to support iron-reducing (anoxic-Fe) redox processes. The cation type of 78 percent of the samples was either sodium- or mixed-type, and the anion type of 83 percent of the samples was either bicarbonate- or mixed-type. Sodium-type groundwaters generally were older and more alkaline than calcium-type groundwaters, consistent with the change in water chemistry expected from cation exchange between groundwater and aquifer sediments over long periods of time. Because of the correlation with young groundwater, calcium-type groundwater was predominantly from wells located adjacent to mountain-front recharge areas.
\nArsenic (As), boron (B), fluoride (F), molybdenum (Mo), strontium (Sr), uranium (U), and vanadium (V) were selected for assessment in this study because they occurred at concentrations greater than California Department of Public Health or U.S. Environmental Protection Agency regulatory or non-regulatory drinking-water-quality benchmarks in more than 2 percent of the 223 samples collected in the DBR study unit. As and F were detected most commonly (18 and 13 percent, respectively) at concentrations above associated water-quality benchmarks and Sr and V least frequently (both at 3 percent). Given that 14C groundwater ages are predominantly >100 years BP, land use in the study unit is primarily undeveloped, and chemicals derived from anthropogenic sources, such as volatile organic compounds, were infrequently detected, high concentrations of these trace elements in groundwater were most likely the result of natural factors and not anthropogenic factors.
\nAs, F, Mo, and V concentrations showed significant positive correlations to groundwater age and to pH. This relation is partly due to the sources of trace elements likely being the weathering of primary minerals, such as silicate minerals, which is a slow process that takes place over hundreds to thousands of years. This relation also reflects the positive correlation between groundwater age and pH. Geochemical modeling predicted that the dominant species of As, Mo, and V in solution were oxyanions (HAsO42–, MoO42–, and H2VO4–), which are likely to be mobile in alkaline groundwater because mineral surfaces composing aquifer matrices have a predominantly negative surface charge under alkaline conditions. F also exists predominantly as a negatively charged ion (F–). At pH values >7.5, saturation indices generated by the geochemical modeling program PHREEQC indicated that F solubility may be somewhat limited by the precipitation of the mineral fluorapatite [Ca5(PO4)3F]. Speciation modeling of As in anoxic-Fe groundwater (iron-reducing conditions) showed that samples were supersaturated with orpiment (As2S3), indicating that mineral precipitation may be responsible for low As concentrations observed in reducing groundwater.
\nIn contrast, U concentrations showed significant negative correlations to groundwater age and to pH. Higher U concentrations generally occurred in samples for which geochemical modeling indicated that the uncharged ternary complex Ca2UO2(CO3)3 was the dominant aqueous U species. This uncharged complex is not attracted to the charged surfaces of minerals and thus increases U solubility. Formation of Ca2UO2(CO3)3 was greater in younger groundwaters because calcium and uranium concentrations generally were lower in older groundwaters, likely due to cation-exchange processes and precipitation of the mineral calcite as groundwater pH increased. Co-precipitation of U with the calcite (CaCO3) may remove U from the aqueous phase. Saturation indices indicated that the anoxic-Fe groundwaters from the Colorado River study area were supersaturated with the mineral uraninite (UO2), suggesting that UO2 precipitation may be responsible for the low concentrations of U observed in these samples.
\nConcentrations of strontium, which exists primarily in a cationic form (Sr2+), were not significantly correlated with either groundwater age or pH. Strontium concentrations showed a strong positive correlation with total dissolved solids (TDS). Dissolved constituents, such as Sr, that interact with mineral surfaces through outer-sphere complexation become increasingly soluble with increasing TDS concentrations of groundwater. Boron concentrations also showed a significant positive correlation with TDS, indicating the B may interact to a large degree with mineral surfaces through outer-sphere complexation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145173","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Wright, M., Fram, M.S., and Belitz, K., 2015, Geochemical conditions and the occurrence of selected trace elements in groundwater basins used for public drinking-water supply, Desert and Basin and Range hydrogeologic provinces, 2006-11: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5173, viii, 48 p., https://doi.org/10.3133/sir20145173.","productDescription":"viii, 48 p.","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-037705","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":297661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145173.jpg"},{"id":297659,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5173/"},{"id":297660,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5173/pdf/sir2014-5173.pdf","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.39916992187499,\n 34.43409789359469\n ],\n [\n -117.103271484375,\n 32.52828936482526\n ],\n [\n -114.444580078125,\n 32.704111144407406\n ],\n [\n -114.114990234375,\n 34.32529192442733\n ],\n [\n -114.67529296874999,\n 35.06597313798418\n ],\n [\n -117.39990234375,\n 37.081475648860525\n ],\n [\n -120.39916992187499,\n 34.43409789359469\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a7de4b08de9379b30a2","contributors":{"authors":[{"text":"Wright, Michael T. 0000-0003-0653-6466","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":116545,"corporation":false,"usgs":false,"family":"Wright","given":"Michael T.","affiliations":[],"preferred":false,"id":539646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":539648,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135239,"text":"sir20145223 - 2015 - Geomorphology and flood-plain vegetation of the Sprague and lower Sycan Rivers, Klamath Basin, Oregon","interactions":[],"lastModifiedDate":"2019-04-24T15:35:34","indexId":"sir20145223","displayToPublicDate":"2015-01-30T16:45:00","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":"2014-5223","title":"Geomorphology and flood-plain vegetation of the Sprague and lower Sycan Rivers, Klamath Basin, Oregon","docAbstract":"This study provides information on channel and flood-plain processes and historical trends to guide effective restoration and monitoring strategies for the Sprague River Basin, a primary tributary (via the lower Williamson River) of Upper Klamath Lake, Oregon. The study area covered the lower, alluvial segments of the Sprague River system, including the lower parts of the Sycan River, North Fork Sprague River, South Fork Sprague River, and the entire main-stem Sprague River between the confluence of the North Fork Sprague and the South Fork Sprague Rivers and its confluence with the Williamson River at Chiloquin, Oregon. The study included mapping and stratigraphic analysis of flood-plain deposits and flanking features; evaluation of historical records, maps and photographs; mapping and analysis of flood-plain and channel characteristics (including morphologic and vegetation conditions); and a 2006 survey of depositional features left by high flows during the winter and spring of 2005–06.
\nAnalyses focused on the channel and flood plain within an area defined as the “geomorphic flood plain,” an area encompassing active fluvial and riparian processes. The geomorphic flood plain was subdivided into 13 valley segments of distinct fluvial environments on the basis of valley form and major tributary junctions: nine segments span the 136.1 kilometers of main-stem Sprague River, two segments for the lower Sycan River, and one segment for each part of the South Fork Sprague and North Fork Sprague Rivers within the study area. Segment characteristics range from steep and narrow canyons to low-gradient reaches with expansive flood plains. The wide flood-plain valley segments are broadly similar; most contain a sinuous, low-gradient channel that migrates slowly across the valley bottom. The narrow valley segments include the steep, boulder-and-cobble-bed reaches at downstream and upstream ends of the study area as well as other confined valley segments that have similar gradients and substrates as adjacent unconfined valley segments, but much lower sinuosities. Although the geologic setting of the expansive South Fork valley segment resulted in historical conditions of sinuous and poorly defined channels and wet meadows, flanking levees now narrowly confine the channelized South Fork Sprague River for much of its length.
\nStratigraphic analyses show that before the Mazama eruption of 7,700 calendar years before present, wetlands and low flood plains flanked the main rivers of the study area. The eruption, however, covered much of the northern basin with sand- and granule-size pumice clasts, transforming channels by increasing bed-material transport and promoting bar formation and channel migration, particularly for the Sycan and North Fork Sprague Rivers, and for the Sprague River downstream of the Sycan River confluence. The South Fork Sprague River, which had much less Mazama pumice deposited in its watershed, remained a wet-meadow fluvial system until historical channelization and diking.
\nThe analysis of historical maps and aerial photographs covering the geomorphic flood plain show changes in sinuosity, migration rates, and vegetation conditions since the 1800s. Most quantitative information is for the period between 1940 and 2000. The decrease in sinuosity since 1940 for nearly all the unconfined reaches resulted partly from decreased migration rates, but mostly from several cutoffs and avulsions formed between 1940 and 1975. The river shortening and steepening possibly resulted from (1) flood-plain confinement by levees, dikes, roads, and railroads leading to deeper and faster overbank flow, thereby promoting erosion of new flood-plain channels; and (2) flood-plain disturbances such as trails, ditches, and vegetation manipulation or eradication that locally concentrated overbank flow and decreased surface resistance to channel erosion.
\nThe most evident vegetation change has been the loss of short woody vegetation adjacent to the river channels: only one-half the near-channel area covered by short woody vegetation in 1940 was similarly covered in 2000. Woody vegetation removal in the 1950s and 1960s and continuing grazing and trampling by livestock probably are the main reasons for the decrease in short woody vegetation from the dense riparian corridors of willows (Salix sp.) and other riparian shrubs noted in the early 20th century.
\nThe alluvial corridor of the South Fork Sprague River, compared to other Sprague River Basin rivers, has been the most substantially transformed since first historical observations. The present channel is incised, straightened, and separated from the rarely inundated flood plain by levees.
\nDespite these effects of human disturbances, many of the fundamental physical processes forming the Sprague River fluvial systems over the last several thousand years still function. In particular, flows are unregulated, sediment transport processes are active, and overbank flooding allows for floodplain deposition and erosion. Therefore, restoration of many of the native physical conditions and processes is possible without substantial physical manipulation of current conditions for much of the Sprague River study area. An exception is the South Fork Sprague River, where historical trends are not likely to reverse until it attains a more natural channel and flood-plain geometry and the channel aggrades to the extent that overbank flow becomes common.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145223","collaboration":"Prepared in cooperation with the University of Oregon and the U.S. Fish and Wildlife Service","usgsCitation":"O'Connor, J., McDowell, P.F., Lind, P., Rasmussen, C.G., and Keith, M., 2015, Geomorphology and flood-plain vegetation of the Sprague and lower Sycan Rivers, Klamath Basin, Oregon: U.S. Geological Survey Scientific Investigations Report 2014-5223, Report: xi, 121 p.; 1 Plate: 34.11 x 20.80 inches; 8 Appendixes, https://doi.org/10.3133/sir20145223.","productDescription":"Report: xi, 121 p.; 1 Plate: 34.11 x 20.80 inches; 8 Appendixes","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052624","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":297653,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_appendixd.xlsx","text":"Appendix D","size":"10 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297652,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_appendixa.xlsx","text":"Appendix A","size":"12 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297654,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_appendixe.xlsx","text":"Appendix E","size":"12 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297655,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_appendixf.xlsx","text":"Appendix F","size":"21 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297656,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_appendixg.xlsx","text":"Appendix G","size":"31 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297657,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_appendixh.xlsx","text":"Appendix H","size":"27 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297647,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5223/"},{"id":297651,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_appendixc.xlsx","text":"Appendix C","size":"10 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297648,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_plate01.pdf","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297649,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5223/pdf/sir2014-5223.pdf","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297650,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5223/downloads/sir2014-5223_appendixb.xlsx","text":"Appendix B","size":"13 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297658,"rank":12,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145223.jpg"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Oregon","otherGeospatial":"Sprague River, Sycan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.11303710937499,\n 42.30575300304638\n ],\n 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Oregon","active":true,"usgs":false}],"preferred":false,"id":539639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lind, Pollyanna","contributorId":119823,"corporation":false,"usgs":false,"family":"Lind","given":"Pollyanna","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":539640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasmussen, Christine G.","contributorId":118634,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Christine","email":"","middleInitial":"G.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":539641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keith, Mackenzie K.","contributorId":16560,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","affiliations":[],"preferred":false,"id":539642,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70137521,"text":"sir20155005 - 2015 - Data Collection and Simulation of Ecological Habitat and Recreational Habitat in the Shenandoah River, Virginia","interactions":[],"lastModifiedDate":"2016-03-21T15:08:10","indexId":"sir20155005","displayToPublicDate":"2015-01-30T14:30:00","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":"2015-5005","title":"Data Collection and Simulation of Ecological Habitat and Recreational Habitat in the Shenandoah River, Virginia","docAbstract":"This report presents updates to methods, describes additional data collected, documents modeling results, and discusses implications from an updated habitat-flow model that can be used to predict ecological habitat for fish and recreational habitat for canoeing on the main stem Shenandoah River in Virginia. Given a 76-percent increase in population predictions for 2040 over 1995 records, increased water-withdrawal scenarios were evaluated to determine the effects on habitat and recreation in the Shenandoah River. Projected water demands for 2040 vary by watershed: the North Fork Shenandoah River shows a 55.9-percent increase, the South Fork Shenandoah River shows a 46.5-percent increase, and the main stem Shenandoah River shows a 52-percent increase; most localities are projected to approach the total permitted surface-water and groundwater withdrawals values by 2040, and a few localities are projected to exceed these values.
\nThe habitat model used for this study evaluates the suitability of ecological habitat, represented by fish, and recreational habitat, represented by canoeing, based on depth, velocity, and substrate conditions, which are weighted for the physical habitat types (riffles, runs, or pools) present within a stretch of river. Weighted usable-habitat area in the Lockes Mill reach was maximized for adult smallmouth bass and sub-adult smallmouth bass (Micropterus dolomieu) and river chub (Nocomis micropogon) when streamflows were equal to median flow (900 cubic feet per second) for summer months. Ecological maximum weighted usable-habitat areas for smaller fish, such as spotfin or satinfin shiner (Cyprinella spp.), margined madtom (Noturus insignis), and juvenile redbreast sunfish (Lepomis auritus) occurred with 10th percentile flows (482 cubic feet per second) and lower. Recreational weighted usable-habitat areas for canoeing were maximized when streamflows were above the 75th percentile (1,410 cubic feet per second). During historic droughts, streamflows were less than the 10th percentile, and adult smallmouth bass and sub-adult smallmouth bass habitat was below normal for the majority of days during at least 2 months of the summer. When streamflows were less than the lowest 7-day average in a 10-year period, or 7Q10 flow (357 cubic feet per second), margined madtom, river chub, and sub-adult redbreast sunfish habitat areas were below normal as well. Streamflows that limit most fish species habit availability range from 300 to 500 cubic feet per second. For the drought years simulated, flows that were equal to or less than the 10th percentile for summer months did not provide adequate depth for canoe passage through riffle habitats. A modeling limitation for higher flows than those studied during development of the habitat-suitability criteria is that modeled habitat availability will decrease as flows increase.
\nTime-series analyses were used to investigate changes in habitat availability with increased water withdrawals of 10, 20, and almost 50 percent (48.6 percent) up to the 2040 amounts projected by local water supply plans. Adult and sub-adult smallmouth bass frequently had habitat availability outside the normal range for habitat conditions during drought years, yet 10- or 20-percent increases in withdrawals did not contribute to a large reduction in habitat. When withdrawals were increased by 50 percent, there was an additional decrease in habitat. During 2002 drought scenarios, reduced habitat availability for sub-adult redbreast sunfish or river chub was only slightly evident with 50-percent increased withdrawal scenarios. Recreational habitat represented by canoeing decreased lower than normal during the 2002 drought. For a recent normal year, like 2012, increased water-withdrawal scenarios did not affect habitat availability for fish such as adult and sub-adult smallmouth bass, sub-adult redbreast sunfish, or river chub. Canoeing habitat availability was within the normal range most of 2012, and increased water-withdrawal scenarios showed almost no affect. For both ecological fish habitat and recreational canoeing habitat, the antecedent conditions (habitat within normal range of habitat or below normal) appear to govern whether additional water withdrawals will affect habitat availability. As human populations and water demands increase, many of the ecological or recreational stresses may be lessened by managing the timing of water withdrawals from the system.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155005","collaboration":"Prepared in cooperation with Clarke County and Warren County, Virginia","usgsCitation":"Krstolic, J.L., 2015, Data Collection and Simulation of Ecological Habitat and Recreational Habitat in the Shenandoah River, Virginia: U.S. Geological Survey Scientific Investigations Report 2015-5005, v, 30 p., https://doi.org/10.3133/sir20155005.","productDescription":"v, 30 p.","numberOfPages":"40","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054536","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":297646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155005.jpg"},{"id":297644,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5005/"},{"id":297645,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5005/pdf/sir2015-5005.pdf","text":"Report","size":"1.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Universal Transverse Mercator projection, Zone 17N","datum":"North American Datum of 1983","country":"United States","state":"Virginia","otherGeospatial":"Shenandoah River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.97649383544922,\n 39.091699613104595\n ],\n [\n -77.97649383544922,\n 39.10695312754686\n ],\n [\n -77.9190731048584,\n 39.10695312754686\n ],\n [\n -77.9190731048584,\n 39.091699613104595\n ],\n [\n -77.97649383544922,\n 39.091699613104595\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a63e4b08de9379b3032","contributors":{"authors":[{"text":"Krstolic, Jennifer L. 0000-0003-2253-9886 jkrstoli@usgs.gov","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":3677,"corporation":false,"usgs":true,"family":"Krstolic","given":"Jennifer","email":"jkrstoli@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537861,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70139739,"text":"70139739 - 2015 - Characterizing the distribution of an endangered salmonid using environmental DNA analysis","interactions":[],"lastModifiedDate":"2017-11-22T17:59:07","indexId":"70139739","displayToPublicDate":"2015-01-30T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the distribution of an endangered salmonid using environmental DNA analysis","docAbstract":"Determining species distributions accurately is crucial to developing conservation and management strategies for imperiled species, but a challenging task for small populations. We evaluated the efficacy of environmental DNA (eDNA) analysis for improving detection and thus potentially refining the known distribution of Chinook salmon (Oncorhynchus tshawytscha) in the Methow and Okanogan Subbasins of the Upper Columbia River, which span the border between Washington, USA and British Columbia, Canada. We developed an assay to target a 90 base pair sequence of Chinook DNA and used quantitative polymerase chain reaction (qPCR) to quantify the amount of Chinook eDNA in triplicate 1-L water samples collected at 48 stream locations in June and again in August 2012. The overall probability of detecting Chinook with our eDNA method in areas within the known distribution was 0.77 (±0.05 SE). Detection probability was lower in June (0.62, ±0.08 SE) during high flows and at the beginning of spring Chinook migration than during base flows in August (0.93, ±0.04 SE). In the Methow subbasin, mean eDNA concentration was higher in August compared to June, especially in smaller tributaries, probably resulting from the arrival of spring Chinook adults, reduced discharge, or both. Chinook eDNA concentrations did not appear to change in the Okanogan subbasin from June to August. Contrary to our expectations about downstream eDNA accumulation, Chinook eDNA did not decrease in concentration in upstream reaches (0–120 km). Further examination of factors influencing spatial distribution of eDNA in lotic systems may allow for greater inference of local population densities along stream networks or watersheds. These results demonstrate the potential effectiveness of eDNA detection methods for determining landscape-level distribution of anadromous salmonids in large river systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2014.11.025","usgsCitation":"Laramie, M.B., Pilliod, D., and Goldberg, C.S., 2015, Characterizing the distribution of an endangered salmonid using environmental DNA analysis: Biological Conservation, v. 183, p. 29-37, https://doi.org/10.1016/j.biocon.2014.11.025.","productDescription":"9 p.","startPage":"29","endPage":"37","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059842","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2014.11.025","text":"Publisher Index Page"},{"id":297643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Washington","otherGeospatial":"Upper Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.83312988281249,\n 48.026672195435985\n ],\n [\n -120.83312988281249,\n 49.66762782262192\n ],\n [\n -118.87207031250001,\n 49.66762782262192\n ],\n [\n -118.87207031250001,\n 48.026672195435985\n ],\n [\n -120.83312988281249,\n 48.026672195435985\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"183","publicComments":"Special Issue: Environmental DNA: A powerful new tool for biological conservation","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5de4b08de9379b3014","contributors":{"authors":[{"text":"Laramie, Matthew B. mlaramie@usgs.gov","contributorId":5627,"corporation":false,"usgs":true,"family":"Laramie","given":"Matthew","email":"mlaramie@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":539624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":161,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":539625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Caren S.","contributorId":76879,"corporation":false,"usgs":false,"family":"Goldberg","given":"Caren","email":"","middleInitial":"S.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":539626,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70139715,"text":"70139715 - 2015 - Quantification of eDNA shedding rates from invasive bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix","interactions":[],"lastModifiedDate":"2021-06-04T16:19:11.920957","indexId":"70139715","displayToPublicDate":"2015-01-30T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Quantification of eDNA shedding rates from invasive bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix","title":"Quantification of eDNA shedding rates from invasive bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix","docAbstract":"Wildlife managers can more easily mitigate the effects of invasive species if action takes place before a population becomes established. Such early detection requires sensitive survey tools that can detect low numbers of individuals. Due to their high sensitivity, environmental DNA (eDNA) surveys hold promise as an early detection method for aquatic invasive species. Quantification of eDNA amounts may also provide data on species abundance and timing of an organism’s presence, allowing managers to successfully combat the spread of ecologically damaging species. To better understand the link between eDNA and an organism’s presence, it is crucial to know how eDNA is shed into the environment. Our study used quantitative PCR (qPCR) and controlled laboratory experiments to measure the amount of eDNA that two species of invasive bigheaded carps (Hypophthalmichthys nobilis and Hypophthalmichthys molitrix) shed into the water. We first measured how much eDNA a single fish sheds and the variability of these measurements. Then, in a series of manipulative lab experiments, we studied how temperature, biomass (grams of fish), and diet affect the shedding rate of eDNA by these fish. We found that eDNA amounts exhibit a positive relationship with fish biomass, and that feeding could increase the amount of eDNA shed by ten-fold, whereas water temperature did not have an effect. Our results demonstrate that quantification of eDNA may be useful for predicting carp density, as well as densities of other rare or invasive species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2014.11.020","usgsCitation":"Klymus, K.E., Richter, C.A., Chapman, D., and Paukert, C.P., 2015, Quantification of eDNA shedding rates from invasive bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix: Biological Conservation, v. 183, p. 77-84, https://doi.org/10.1016/j.biocon.2014.11.020.","productDescription":"8 p.","startPage":"77","endPage":"84","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053423","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":297640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2aa5e4b08de9379b3165","chorus":{"doi":"10.1016/j.biocon.2014.11.020","url":"http://dx.doi.org/10.1016/j.biocon.2014.11.020","publisher":"Elsevier BV","authors":"Klymus Katy E., Richter Catherine A., Chapman Duane C., Paukert Craig","journalName":"Biological Conservation","publicationDate":"3/2015","auditedOn":"1/11/2015"},"contributors":{"authors":[{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":539585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":539584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":539586,"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":539587,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70139713,"text":"70139713 - 2015 - Geographically isolated wetlands: Rethinking a misnomer","interactions":[],"lastModifiedDate":"2018-01-04T12:07:02","indexId":"70139713","displayToPublicDate":"2015-01-30T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Geographically isolated wetlands: Rethinking a misnomer","docAbstract":"We explore the category “geographically isolated wetlands” (GIWs; i.e., wetlands completely surrounded by uplands at the local scale) as used in the wetland sciences. As currently used, the GIW category (1) hampers scientific efforts by obscuring important hydrological and ecological differences among multiple wetland functional types, (2) aggregates wetlands in a manner not reflective of regulatory and management information needs, (3) implies wetlands so described are in some way “isolated,” an often incorrect implication, (4) is inconsistent with more broadly used and accepted concepts of “geographic isolation,” and (5) has injected unnecessary confusion into scientific investigations and discussions. Instead, we suggest other wetland classification systems offer more informative alternatives. For example, hydrogeomorphic (HGM) classes based on well-established scientific definitions account for wetland functional diversity thereby facilitating explorations into questions of connectivity without an a priori designation of “isolation.” Additionally, an HGM-type approach could be used in combination with terms reflective of current regulatory or policymaking needs. For those rare cases in which the condition of being surrounded by uplands is the relevant distinguishing characteristic, use of terminology that does not unnecessarily imply isolation (e.g., “upland embedded wetlands”) would help alleviate much confusion caused by the “geographically isolated wetlands” misnomer.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-015-0631-9","usgsCitation":"Mushet, D.M., Calhoun, A.J., Alexander, L., Cohen, M.J., DeKeyser, E., Fowler, L.G., Lane, C., Lang, M.W., Rains, M.C., and Walls, S.C., 2015, Geographically isolated wetlands: Rethinking a misnomer: Wetlands, v. 35, no. 3, p. 423-431, https://doi.org/10.1007/s13157-015-0631-9.","productDescription":"9 p.","startPage":"423","endPage":"431","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056247","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-015-0631-9","text":"Publisher Index Page"},{"id":297639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-27","publicationStatus":"PW","scienceBaseUri":"54dd2a7ee4b08de9379b30a6","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":539573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Aram J.K.","contributorId":93829,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":539574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":539608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cohen, Matthew J.","contributorId":138990,"corporation":false,"usgs":false,"family":"Cohen","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":539609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeKeyser, Edward S.","contributorId":138601,"corporation":false,"usgs":false,"family":"DeKeyser","given":"Edward S.","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":539575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fowler, Laurie G.","contributorId":21199,"corporation":false,"usgs":false,"family":"Fowler","given":"Laurie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":539576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":539610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lang, Megan W.","contributorId":131150,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":539577,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":539578,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539579,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70139644,"text":"70139644 - 2015 - Intercontinental genetic structure and gene flow in Dunlin (Calidris alpina), a potential vector of avian influenza","interactions":[],"lastModifiedDate":"2017-11-24T18:07:02","indexId":"70139644","displayToPublicDate":"2015-01-30T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Intercontinental genetic structure and gene flow in Dunlin (Calidris alpina), a potential vector of avian influenza","title":"Intercontinental genetic structure and gene flow in Dunlin (Calidris alpina), a potential vector of avian influenza","docAbstract":"Waterfowl (Anseriformes) and shorebirds (Charadriiformes) are the most common wild vectors of influenza A viruses. Due to their migratory behavior, some may transmit disease over long distances. Migratory connectivity studies can link breeding and nonbreeding grounds while illustrating potential interactions among populations that may spread diseases. We investigated Dunlin (Calidris alpina), a shorebird with a subspecies (C. a. arcticola) that migrates from nonbreeding areas endemic to avian influenza in eastern Asia to breeding grounds in northern Alaska. Using microsatellites and mitochondrial DNA, we illustrate genetic structure among six subspecies: C. a. arcticola, C. a. pacifica, C. a. hudsonia, C. a. sakhalina, C. a. kistchinski, and C. a. actites. We demonstrate that mitochondrial DNA can help distinguish C. a. arcticola on the Asian nonbreeding grounds with >70% accuracy depending on their relative abundance, indicating that genetics can help determine whether C. a. arcticola occurs where they may be exposed to highly pathogenic avian influenza (HPAI) during outbreaks. Our data reveal asymmetric intercontinental gene flow, with some C. a. arcticola short-stopping migration to breed with C. a. pacifica in western Alaska. Because C. a. pacifica migrates along the Pacific Coast of North America, interactions between these subspecies and other taxa provide route for transmission of HPAI into other parts of North America.
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To optimize control programs, it is necessary to understand how degraded habitat influences the behavior of invasive species. We conducted a radio telemetry study to characterize movement and habitat use of introduced male Argentine black and white tegus (Tupinambis merianae) in the Everglades of southern Florida from May to August 2012 at the core and periphery of the introduced range. Tegus at the periphery moved farther per day (mean 131.7 ± 11.6 m, n = 6) compared to tegus at the core (mean 50.3 ± 12.4 m, n = 6). However, activity ranges were not significantly smaller in the core (mean 19.4 ± 8.4 ha, n = 6) compared to periphery (mean 29.1 ± 5.2 ha, n = 6). Peripheral activity ranges were more linear due to activity being largely restricted to levee habitat surrounded by open water or marsh. Tegus were located in shrub or tree habitat (mean 96%) more often than expected based on random locations (mean 58%), and the percent cover of trees and shrubs was higher in activity ranges (mean 61%) than the general study area (17%). Our study highlighted the ability of tegus to spread across the Florida landscape, especially in linear disturbed habitats where increased movement occurred and in areas of altered hydrology where movement is not restricted by water.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-014-0834-7","usgsCitation":"Klug, P.E., Reed, R., Mazzotti, F., McEachern, M., Vinci, J.J., Craven, K.K., and Yackel Adams, A.A., 2015, The influence of disturbed habitat on the spatial ecology of Argentine black and white tegu (Tupinambis merianae), a recent invader in the Everglades ecosystem (Florida, USA): Biological Invasions, v. 17, no. 6, p. 1785-1797, https://doi.org/10.1007/s10530-014-0834-7.","productDescription":"13 p.","startPage":"1785","endPage":"1797","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054967","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":297638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.947021484375,\n 25.055745117015316\n ],\n [\n -81.947021484375,\n 26.828972753817787\n ],\n [\n -79.7442626953125,\n 26.828972753817787\n ],\n [\n -79.7442626953125,\n 25.055745117015316\n ],\n [\n -81.947021484375,\n 25.055745117015316\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-04","publicationStatus":"PW","scienceBaseUri":"54dd2abfe4b08de9379b31d0","contributors":{"authors":[{"text":"Klug, Page E. pklug@usgs.gov","contributorId":5545,"corporation":false,"usgs":true,"family":"Klug","given":"Page","email":"pklug@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":539556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":1686,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":539557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McEachern, Michelle A. mmceachern@usgs.gov","contributorId":5539,"corporation":false,"usgs":true,"family":"McEachern","given":"Michelle A.","email":"mmceachern@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":539560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vinci, Joy J.","contributorId":138977,"corporation":false,"usgs":false,"family":"Vinci","given":"Joy","email":"","middleInitial":"J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":539562,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Craven, Katelin K. kcraven@usgs.gov","contributorId":5286,"corporation":false,"usgs":true,"family":"Craven","given":"Katelin","email":"kcraven@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":539559,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":539558,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70137255,"text":"sir20155002 - 2015 - Chemical constituents in groundwater from multiple zones in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009-13","interactions":[],"lastModifiedDate":"2015-01-30T09:00:40","indexId":"sir20155002","displayToPublicDate":"2015-01-30T10:00:00","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":"2015-5002","title":"Chemical constituents in groundwater from multiple zones in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009-13","docAbstract":"From 2009 to 2013, the U.S. Geological Survey’s (USGS) Idaho National Laboratory (INL) Project office, in cooperation with the U.S. Department of Energy, collected water-quality samples from multiple water-bearing zones in the eastern Snake River Plain aquifer. Water samples were collected from 11 monitoring wells completed in about 250–750 feet of the upper part of the aquifer, and samples were analyzed for selected major ions, trace elements, nutrients, radiochemical constituents, and stable isotopes. Each well was equipped with a multilevel monitoring system containing four to seven sampling ports that were each isolated by permanent packer systems. The sampling ports were installed in aquifer zones that were highly transmissive and that represented the water chemistry of the top three to five model layers of a steady-state and transient groundwater‑flow model. The groundwater-flow model and water chemistry are being used to better define movement of wastewater constituents in the aquifer.
\nThe water-chemistry composition of all sampled zones for the five new multilevel wells is calcium plus magnesium bicarbonate. One of the zones in well USGS 131A has a slightly different chemistry from the rest of the zones and wells and the difference is attributed to more wastewater influence from the Idaho Nuclear Technology and Engineering Center. One well, USGS 135, was not influenced by wastewater disposal and consisted of mostly older water in all of its zones.
\nTritium concentrations in relation to basaltic flow units indicate the presence of wastewater influence in multiple basalt flow groups; however, tritium is most abundant in the South Late Matuyama flow group in the southern boundary wells. The concentrations of wastewater constituents in deep zones in wells Middle 2051, USGS 132, USGS 105, and USGS 103 support the concept of groundwater flow deepening in the southwestern corner of the INL, as indicated by the INL groundwater-flow model.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155002","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Bartholomay, R.C., Hopkins, C.B., and Maimer, N.V., 2015, Chemical constituents in groundwater from multiple zones in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009-13: U.S. Geological Survey Scientific Investigations Report 2015-5002, vi, 109 p., https://doi.org/10.3133/sir20155002.","productDescription":"vi, 109 p.","numberOfPages":"120","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-053010","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":297631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155002.jpg"},{"id":297628,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5002/"},{"id":297630,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5002/pdf/sir2015-5002.pdf","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.2470703125,\n 43.29519939210697\n ],\n [\n -113.2470703125,\n 44.02442151965934\n ],\n [\n -112.42584228515625,\n 44.02442151965934\n ],\n [\n -112.42584228515625,\n 43.29519939210697\n ],\n [\n -113.2470703125,\n 43.29519939210697\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"DOE/ID-22232","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ee4b08de9379b3018","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maimer, Neil V. 0000-0003-3047-3282 nmaimer@usgs.gov","orcid":"https://orcid.org/0000-0003-3047-3282","contributorId":5659,"corporation":false,"usgs":true,"family":"Maimer","given":"Neil","email":"nmaimer@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539555,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70129825,"text":"fs20143110 - 2015 - The 3D Elevation Program: summary for New Hampshire","interactions":[],"lastModifiedDate":"2016-08-10T15:30:33","indexId":"fs20143110","displayToPublicDate":"2015-01-30T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3110","title":"The 3D Elevation Program: summary for New Hampshire","docAbstract":"Elevation data are essential to a broad range of applications important to New Hampshire, including flood mitigation, land development, agriculture, transportation planning and design, infrastructure asset inventory and management, and many others. For the State of New Hampshire, elevation data are critical for many business uses such as flood risk management, natural resources conservation, forest resources management, agriculture and precision farming, infrastructure and construction management, and geologic resource assessment and hazard mitigation. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
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Currently, at least 18 estuaries coastwide host spawning populations and the viability of these vary, requiring differing levels of protection. Subadults emigrate from their natal estuaries to marine waters where they are vulnerable to bycatch; one of the major threats to the rebuilding of populations. As a result, identifying the population origin of Atlantic Sturgeon in coastal waters is critical to development of management plans intended to minimize interactions of the most imperiled populations with damaging fisheries. We used mitochondrial DNA control region sequencing and microsatellite DNA analyses to determine the origin of 261 Atlantic Sturgeon collected off the Delaware coast during the spring months. Using individual-based assignment (IBA) testing and mixed stock analysis, we found that specimens originated from all nine of our reference populations and the five DPSs used in the listing determination. Using IBA, we found that the Hudson River population was the largest contributor (38.3%) to our coastal collection. The James (19.9%) and Delaware (13.8%) river populations, at one time thought to be extirpated or nearly so, were the next largest contributors. The three populations combined in the South Atlantic DPS contributed 21% of specimens; the Altamaha River, the largest population in the South Atlantic DPS, only contributed a single specimen to the collection. While the origin of specimens collected on the Delaware coast was most likely within rivers of the New York Bight DPS (52.1%), specimens that originated elsewhere were also well represented. Genetic analyses provide a robust tool to identify the population origin of individual sturgeon outside of their natal estuaries and to determine the quantitative contributions of individual populations to coastal aggregations that are vulnerable to bycatch and other anthropogenic threats.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2014.963751","usgsCitation":"Wirgin, I., Breece, M.W., Fox, D.A., Maceda, L., Wark, K.W., and King, T.L., 2015, Origin of Atlantic Sturgeon collected off the Delaware coast during spring months: North American Journal of Fisheries Management, v. 35, no. 1, p. 20-30, https://doi.org/10.1080/02755947.2014.963751.","productDescription":"11 p.","startPage":"20","endPage":"30","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056177","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":297629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.05722045898438,\n 38.49121932062687\n ],\n [\n -75.05722045898438,\n 38.585746636004494\n ],\n [\n -74.88006591796874,\n 38.585746636004494\n ],\n [\n -74.88006591796874,\n 38.49121932062687\n ],\n [\n -75.05722045898438,\n 38.49121932062687\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-12","publicationStatus":"PW","scienceBaseUri":"54dd2aa0e4b08de9379b314a","contributors":{"authors":[{"text":"Wirgin, Isaac","contributorId":138929,"corporation":false,"usgs":false,"family":"Wirgin","given":"Isaac","affiliations":[{"id":12583,"text":"New York University School of Medicine Tuxedo, New York, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":539283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breece, Matthew W.","contributorId":116999,"corporation":false,"usgs":false,"family":"Breece","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":539580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Dewayne A.","contributorId":117052,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","email":"","middleInitial":"A.","affiliations":[{"id":12970,"text":"Department of Agriculture and Natural Resources, Delaware State University","active":true,"usgs":false}],"preferred":false,"id":539581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maceda, Lorraine","contributorId":138930,"corporation":false,"usgs":false,"family":"Maceda","given":"Lorraine","email":"","affiliations":[{"id":12584,"text":"New York University School of Medicine, Tuxedo, New York UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":539284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wark, Kevin W.","contributorId":116263,"corporation":false,"usgs":false,"family":"Wark","given":"Kevin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":539582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":539282,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70169070,"text":"70169070 - 2015 - Avian Influenza spread and transmission dynamics","interactions":[],"lastModifiedDate":"2017-07-19T15:43:32","indexId":"70169070","displayToPublicDate":"2015-01-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Avian Influenza spread and transmission dynamics","docAbstract":"The spread of highly pathogenic avian influenza (HPAI) viruses of type A of subtype H5N1 has been a serious threat to global public health. Understanding the roles of various (migratory, wild, poultry) bird species in the transmission of these viruses is critical for designing and implementing effective control and intervention measures. Developing appropriate models and mathematical techniques to understand these roles and to evaluate the effectiveness of mitigation strategies have been a challenge. Recent development of the global health surveillance (especially satellite tracking and GIS techniques) and the mathematical theory of dynamical systems combined have gradually shown the promise of some cutting-edge methodologies and techniques in mathematical biology to meet this challenge.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Analyzing and modeling spatial and temporal dynamics of infectious diseases","language":"English","publisher":"Wiley","doi":"10.1002/9781118630013.ch7","usgsCitation":"Bourouiba, L., Gourley, S.A., Liu, R., Takekawa, J.Y., and Wu, J., 2015, Avian Influenza spread and transmission dynamics, chap. of Analyzing and modeling spatial and temporal dynamics of infectious diseases, p. 137-162, https://doi.org/10.1002/9781118630013.ch7.","productDescription":"26 p.","startPage":"137","endPage":"162","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056959","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":319583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-30","publicationStatus":"PW","scienceBaseUri":"56fba733e4b0a6037df1a083","contributors":{"editors":[{"text":"Chen, Dongmei","contributorId":150562,"corporation":false,"usgs":false,"family":"Chen","given":"Dongmei","email":"","affiliations":[],"preferred":false,"id":625550,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Moulin, Bernard","contributorId":150563,"corporation":false,"usgs":false,"family":"Moulin","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":625551,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wu, Jianhong","contributorId":92413,"corporation":false,"usgs":false,"family":"Wu","given":"Jianhong","email":"","affiliations":[],"preferred":false,"id":625552,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Bourouiba, Lydia","contributorId":167584,"corporation":false,"usgs":false,"family":"Bourouiba","given":"Lydia","email":"","affiliations":[{"id":24763,"text":"Civil & Environmental Engineering, MIT, MA, USA","active":true,"usgs":false}],"preferred":false,"id":622767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gourley, Stephen A.","contributorId":60487,"corporation":false,"usgs":true,"family":"Gourley","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":622768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Rongsong","contributorId":43480,"corporation":false,"usgs":false,"family":"Liu","given":"Rongsong","email":"","affiliations":[],"preferred":false,"id":622769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":622766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Jianhong","contributorId":92413,"corporation":false,"usgs":false,"family":"Wu","given":"Jianhong","email":"","affiliations":[],"preferred":false,"id":622770,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155959,"text":"70155959 - 2015 - Assessment of surface water chloride and conductivity trends in areas of unconventional oil and gas development — Why existing national data sets cannot tell us what we would like to know","interactions":[],"lastModifiedDate":"2022-11-15T17:04:15.648777","indexId":"70155959","displayToPublicDate":"2015-01-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of surface water chloride and conductivity trends in areas of unconventional oil and gas development — Why existing national data sets cannot tell us what we would like to know","docAbstract":"Heightened concern regarding the potential effects of unconventional oil and gas development on regional water quality has emerged, but the few studies on this topic are limited in geographic scope. Here we evaluate the potential utility of national and publicly available water-quality data sets for addressing questions regarding unconventional oil and gas development. We used existing U.S. Geological Survey and U.S. Environmental Protection Agency data sets to increase understanding of the spatial distribution of unconventional oil and gas development in the U.S. and broadly assess surface water quality trends in these areas. Based on sample size limitations, we were able to estimate trends in specific conductance (SC) and chloride (Cl−) from 1970 to 2010 in 16% (n = 155) of the watersheds with unconventional oil and gas resources. We assessed these trends relative to spatiotemporal distributions of hydraulically fractured wells. Results from this limited analysis suggest no consistent and widespread trends in surface water quality for SC and Cl− in areas with increasing unconventional oil and gas development and highlight limitations of existing national databases for addressing questions regarding unconventional oil and gas development and water quality.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014WR016382","usgsCitation":"Bowen, Z.H., Oelsner, G.P., Cade, B.S., Gallegos, T.J., Farag, A.M., Mott, D.N., Potter, C.J., Cinotto, P.J., Clark, M.L., Kappel, W.M., Kresse, T.M., Melcher, C.P., Paschke, S.S., Susong, D.D., and Varela, B., 2015, Assessment of surface water chloride and conductivity trends in areas of unconventional oil and gas development — Why existing national data sets cannot tell us what we would like to know: Water Resources Research, v. 51, no. 1, p. 704-715, https://doi.org/10.1002/2014WR016382.","productDescription":"12 p.","startPage":"704","endPage":"715","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051045","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science 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