{"pageNumber":"510","pageRowStart":"12725","pageSize":"25","recordCount":46666,"records":[{"id":70173573,"text":"70173573 - 2014 - Toxicity of copper sulfate and rotenone to Chinese mystery snail (Bellamya chinensis)","interactions":[],"lastModifiedDate":"2016-06-22T16:01:10","indexId":"70173573","displayToPublicDate":"2014-09-03T02:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of copper sulfate and rotenone to Chinese mystery snail (Bellamya chinensis)","docAbstract":"
\n

The Chinese mystery snail (Bellamya chinensis) is a freshwater snail native to Southeast Asia, Japan, and Russia and is currently classified as an invasive species in at least 27 states in the USA. The species tolerates a wide range of environmental conditions, making management of established populations difficult. We tested the efficacy of two traditional chemical treatments, rotenone and copper sulfate, on the elimination of adult Chinese mystery snails in laboratory experiments. All snails (N=50) survived 72-hour exposure to rotenone-treated lake water, and 96% (N=25) survived 72-hour exposure to pre-determined rotenone concentrations of 0.25, 2.5, and 25.0 mg/L. All snails (N=10) survived exposure to 1.25 mg/L copper sulfate solution, 90% (N=10) survived exposure to 2.50 mg/L copper sulfate solution, and 80% (N=5) survived exposure to 5.0 mg/L copper sulfate solution. Neither rotenone nor copper sulfate effectively killed adult Chinese mystery snails in laboratory experiments, most likely due to their relatively large size, thick shell, and operculum. Therefore, it appears that populations will be very difficult to control once established, and management should focus on preventing additional spread or introductions of this species.

\n
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2014.5.4.08","usgsCitation":"Haak, D.M., Stephen, B., Kill, R.A., Smeenk, N.A., Allen, C.R., and Pope, K.L., 2014, Toxicity of copper sulfate and rotenone to Chinese mystery snail (Bellamya chinensis): Management of Biological Invasions, v. 5, no. 4, p. 371-375, https://doi.org/10.3391/mbi.2014.5.4.08.","productDescription":"5 p.","startPage":"371","endPage":"375","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055659","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2014.5.4.08","text":"Publisher Index Page"},{"id":324269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6bee4b07657d1a2296c","contributors":{"authors":[{"text":"Haak, Danielle M.","contributorId":73078,"corporation":false,"usgs":true,"family":"Haak","given":"Danielle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephen, Bruce J.","contributorId":54862,"corporation":false,"usgs":true,"family":"Stephen","given":"Bruce J.","affiliations":[],"preferred":false,"id":640491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kill, Robert A.","contributorId":103538,"corporation":false,"usgs":true,"family":"Kill","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":640492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smeenk, Nicholas A.","contributorId":48052,"corporation":false,"usgs":true,"family":"Smeenk","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":640493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":640494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637355,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70122870,"text":"sir20145169 - 2014 - Hydrogeology, hydraulic characteristics, and water-quality conditions in the surficial, Castle Hayne and Peedee aquifers of the greater New Hanover County area, North Carolina, 2012-13","interactions":[],"lastModifiedDate":"2017-01-18T13:15:57","indexId":"sir20145169","displayToPublicDate":"2014-09-02T16:10:00","publicationYear":"2014","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":"2014-5169","title":"Hydrogeology, hydraulic characteristics, and water-quality conditions in the surficial, Castle Hayne and Peedee aquifers of the greater New Hanover County area, North Carolina, 2012-13","docAbstract":"

A major issue facing the greater New Hanover County, North Carolina, area is the increased demand for drinking water resources as a result of rapid growth. The principal sources of freshwater supply in the greater New Hanover County area are withdrawals of surface water from the Cape Fear River and groundwater from the underlying Castle Hayne and Peedee aquifers. Industrial, mining, irrigation, and aquaculture groundwater withdrawals increasingly compete with public-supply utilities for freshwater resources. Future population growth and economic expansion will require increased dependence on high-quality sources of fresh groundwater.

\n
\n

An evaluation of the hydrogeology and water-quality conditions in the surficial, Castle Hayne, and Peedee aquifers was conducted in New Hanover, eastern Brunswick, and southern Pender Counties, North Carolina. A hydrogeologic framework was delineated by using a description of the geologic and hydrogeologic units that compose aquifers and their confining units. Current and historic water-level, water-quality, and water-isotope data were used to approximate the present boundary between freshwater and brackish water in the study area.

\n
\n

Water-level data collected during August–September 2012 and March 2013 in the Castle Hayne aquifer show that recharge areas with the highest groundwater altitudes are located in central New Hanover County, and the lowest are located in a discharge area along the Atlantic Ocean. Between 1964 and 2012, groundwater levels in the Castle Hayne aquifer in central New Hanover County have rebounded by about 10 feet, but in the Pages Creek area groundwater levels declined in excess of 20 feet. In the Peedee aquifer, the August–September 2012 groundwater levels were affected by industrial withdrawals in north-central New Hanover County. Groundwater levels in the Peedee aquifer declined more than 20 feet between 1964 and 2012 in northeastern New Hanover County because of increased withdrawals. Vertical gradients calculated between the Castle Hayne and Peedee aquifers at six well cluster sites were downward in August–September 2012 and March 2013 with the exception of one well pair that had a slight upward gradient in March 2013.

\n
\n

Major ion chemistry results from samples collected in August–September 2012 from 97 well sites suggest that seawater is mixing with groundwater in both the Castle Hayne and Peedee aquifers in several locations in Brunswick, New Hanover, and Pender Counties. The 250 milligram per liter line of equal chloride concentration has moved inland in both aquifers since 1965, with the area between Futch and Pages Creeks in northeastern New Hanover County experiencing the greatest increase. Groundwater from the surficial, Castle Hayne, and Peedee aquifers had a stable isotope of water composition similar to that of modern precipitation. A comparison of chloride concentration data collected from public-supply wells in the 1960s with that collected in 2012 shows marked increases in chloride concentrations in the Peedee aquifer near the town of Carolina Beach at the southern end of New Hanover County.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145169","collaboration":"Prepared in cooperation with the Cape Fear Public Utility Authority","usgsCitation":"McSwain, K., Gurley, L., and Antolino, D., 2014, Hydrogeology, hydraulic characteristics, and water-quality conditions in the surficial, Castle Hayne and Peedee aquifers of the greater New Hanover County area, North Carolina, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5169, Report: ix, 52 p.; 2 Appendixes, https://doi.org/10.3133/sir20145169.","productDescription":"Report: ix, 52 p.; 2 Appendixes","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051297","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":293317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145169.jpg"},{"id":293315,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5169/downloads/sir2014-5169_appendix1.xlsx"},{"id":293316,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5169/downloads/sir2014-5169_appendix2.xlsx"},{"id":293313,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5169/"},{"id":293314,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5169/pdf/sir2014-5169.pdf"}],"scale":"100000","country":"United States","state":"North Carolina","county":"New Hanover County","otherGeospatial":"Castle Hayne aquifer, Peedee aquifer","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-77.8099,34.3813],[-77.8045,34.3766],[-77.8142,34.3682],[-77.8122,34.3582],[-77.7896,34.3332],[-77.7569,34.3085],[-77.7447,34.306],[-77.7247,34.3247],[-77.7089,34.3342],[-77.7078,34.3303],[-77.7432,34.3023],[-77.7519,34.3043],[-77.7416,34.2998],[-77.7665,34.2702],[-77.7784,34.2798],[-77.7904,34.2807],[-77.7994,34.2744],[-77.7802,34.2773],[-77.7704,34.2663],[-77.7877,34.2489],[-77.7978,34.2564],[-77.8108,34.2567],[-77.7956,34.2528],[-77.7894,34.2436],[-77.8158,34.2158],[-77.83,34.2119],[-77.8256,34.1953],[-77.8411,34.1742],[-77.8383,34.1833],[-77.8569,34.1922],[-77.8436,34.1793],[-77.8759,34.1152],[-77.8903,34.0606],[-77.9167,34.0528],[-77.925,34.0706],[-77.9272,34.1306],[-77.9461,34.1436],[-77.9417,34.1436],[-77.9428,34.1592],[-77.9575,34.1885],[-77.9502,34.2343],[-77.9567,34.2417],[-77.97,34.2442],[-77.9779,34.2589],[-77.989,34.2627],[-77.9893,34.2705],[-78.0004,34.2711],[-78.0008,34.2761],[-77.9896,34.2795],[-77.9923,34.2837],[-78.0023,34.2834],[-78.0049,34.2893],[-78.016,34.2923],[-78.0102,34.3217],[-78.0259,34.3188],[-78.0251,34.3265],[-78.0372,34.3317],[-77.9931,34.3378],[-77.993,34.3441],[-77.9781,34.3593],[-77.9885,34.3677],[-77.9867,34.3722],[-77.9772,34.372],[-77.9636,34.3823],[-77.9591,34.3817],[-77.9622,34.3727],[-77.9556,34.3676],[-77.9512,34.3648],[-77.95,34.3702],[-77.9416,34.3701],[-77.933,34.359],[-77.9356,34.365],[-77.9317,34.3681],[-77.9268,34.3634],[-77.9187,34.3746],[-77.903,34.3771],[-77.8999,34.367],[-77.8861,34.3641],[-77.8589,34.3799],[-77.8315,34.3867],[-77.8099,34.3813]]],[[[-77.8764,34.0761],[-77.9139,33.9719],[-77.9214,33.9669],[-77.9458,33.9197],[-77.9475,33.9284],[-77.9394,33.9397],[-77.9427,33.9473],[-77.9306,33.9542],[-77.9432,33.9588],[-77.9304,33.9718],[-77.9221,33.9721],[-77.9192,34.0206],[-77.9125,34.0267],[-77.9189,34.03],[-77.92,34.0497],[-77.8922,34.0567],[-77.8925,34.0378],[-77.8853,34.0708],[-77.8764,34.0761]]],[[[-77.8128,34.1828],[-77.8439,34.1422],[-77.8639,34.1286],[-77.8614,34.1386],[-77.8464,34.1497],[-77.8544,34.1497],[-77.8522,34.1561],[-77.8461,34.1592],[-77.842,34.1542],[-77.8339,34.1608],[-77.8383,34.1681],[-77.8475,34.1603],[-77.8439,34.1675],[-77.8128,34.1828]]],[[[-77.74,34.2922],[-77.7186,34.2892],[-77.7456,34.2683],[-77.7661,34.2425],[-77.7697,34.2453],[-77.7631,34.2555],[-77.7717,34.2472],[-77.7817,34.25],[-77.7653,34.2675],[-77.7542,34.2651],[-77.7597,34.2739],[-77.74,34.2922]]],[[[-77.7825,34.2478],[-77.775,34.2352],[-77.8128,34.1889],[-77.7894,34.2178],[-77.8053,34.2219],[-77.8042,34.2253],[-77.7978,34.2314],[-77.7886,34.2226],[-77.7858,34.225],[-77.7958,34.2336],[-77.7825,34.2478]]],[[[-77.8086,34.22],[-77.7961,34.2189],[-77.7986,34.2086],[-77.8144,34.2147],[-77.8086,34.22]]],[[[-77.8117,34.2069],[-77.8058,34.1992],[-77.8147,34.1914],[-77.8217,34.1922],[-77.82,34.2031],[-77.8117,34.2069]]],[[[-77.8231,34.1899],[-77.8236,34.1808],[-77.8394,34.1722],[-77.8231,34.1899]]],[[[-77.8722,34.0906],[-77.8731,34.0822],[-77.8803,34.0817],[-77.8722,34.0906]]],[[[-77.9325,34.0053],[-77.9315,33.9983],[-77.9391,33.9933],[-77.9325,34.0053]]],[[[-77.9494,34.1531],[-77.9575,34.1611],[-77.9553,34.1678],[-77.9494,34.1531]]],[[[-77.8678,34.12],[-77.8644,34.1133],[-77.8669,34.1169],[-77.8706,34.1111],[-77.8678,34.12]]],[[[-77.8138,34.2139],[-77.8081,34.2106],[-77.8158,34.2072],[-77.8138,34.2139]]]]},\"properties\":{\"name\":\"New Hanover\",\"state\":\"NC\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5406cbaee4b044dc0e823991","contributors":{"authors":[{"text":"McSwain, Kristen Bukowski","contributorId":104458,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":499698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurley, Laura N. 0000-0002-2881-1038","orcid":"https://orcid.org/0000-0002-2881-1038","contributorId":93834,"corporation":false,"usgs":true,"family":"Gurley","given":"Laura N.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antolino, Dominick J.","contributorId":75457,"corporation":false,"usgs":true,"family":"Antolino","given":"Dominick J.","affiliations":[],"preferred":false,"id":499696,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70119630,"text":"sir20145151 - 2014 - Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13","interactions":[],"lastModifiedDate":"2014-09-04T09:20:13","indexId":"sir20145151","displayToPublicDate":"2014-09-02T11:49:00","publicationYear":"2014","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":"2014-5151","title":"Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13","docAbstract":"

Stream discharge and water levels in wells were measured at multiple sites in the Wood River Valley, south-central Idaho, in August 2012, October 2012, and March 2013, as a component of data collection for a groundwater-flow model of the Wood River Valley aquifer system. This model is a cooperative and collaborative effort between the U.S. Geological Survey and the Idaho Department of Water Resources.

\n
\n

Stream-discharge measurements for determination of seepage were made during several days on three occasions: August 27–28, 2012, October 22–24, 2012, and March 27–28, 2013. Discharge measurements were made at 49 sites in August and October, and 51 sites in March, on the Big Wood River, Silver Creek, their tributaries, and nearby canals.

\n
\n

The Big Wood River generally gains flow between the Big Wood River near Ketchum streamgage (13135500) and the Big Wood River at Hailey streamgage (13139510), and loses flow between the Hailey streamgage and the Big Wood River at Stanton Crossing near Bellevue streamgage (13140800). Shorter reaches within these segments may differ in the direction or magnitude of seepage or may be indeterminate because of measurement uncertainty. Additional reaches were measured on Silver Creek, the North Fork Big Wood River, Warm Springs Creek, Trail Creek, and the East Fork Big Wood River. Discharge measurements also were made on the Hiawatha, Cove, District 45, Glendale, and Bypass Canals, and smaller tributaries to the Big Wood River and Silver Creek.

\n
\n

Water levels in 93 wells completed in the Wood River Valley aquifer system were measured during October 22–24, 2012; these wells are part of a network established by the U.S. Geological Survey in 2006. Maps of the October 2012 water-table altitude in the unconfined aquifer and the potentiometric-surface altitude of the confined aquifer have similar topology to those on maps of October 2006 conditions.

\n
\n

Between October 2006 and October 2012, water-table altitude in the unconfined aquifer rose by as much as 1.86 feet in 6 wells and declined by as much as 14.28 feet in 77 wells; average decline was 2.9 feet. A map of changes in the water‑table altitude of the unconfined aquifer shows that the largest declines were in tributary canyons and in an area roughly between Baseline and Glendale Roads.

\n
\n

From October 2006 to October 2012, the potentiometric-surface altitude in 10 wells completed in the confined aquifer declined between 0.12 and 20.50 feet; average decline was 6.8 feet. A map of changes in the potentiometric-surface altitude of the confined aquifer shows that the largest declines were in the southwestern part of the Bellevue fan.

\n
\n

Reduced precipitation prior to the October 2012 water-level measurements likely is partially responsible for 2006–12 water-table declines in the unconfined aquifer; the relative contribution of precipitation deficit and groundwater withdrawals to the declines is not known. Although the confined aquifer may not receive direct recharge from precipitation or streams, groundwater withdrawal from the confined aquifer induces flow from the unconfined aquifer. Declines in the confined aquifer are likely due to groundwater withdrawals and declines in the water table of the unconfined aquifer. A statistical analysis of five long-term monitoring wells (three completed in the unconfined aquifer, one in the confined aquifer, and one outside the aquifer system boundary) showed statistically significant declining trends in four wells.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145151","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Bartolino, J.R., 2014, Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5151, Report: v, 34 p.; 3 Plates: 16.02 x 24.50 inches or smaller, https://doi.org/10.3133/sir20145151.","productDescription":"Report: v, 34 p.; 3 Plates: 16.02 x 24.50 inches or smaller","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-039539","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":293290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145151.jpg"},{"id":293286,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151.pdf"},{"id":293287,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate01.pdf"},{"id":293288,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate02.pdf"},{"id":293289,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate03.pdf"},{"id":293285,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5151/"}],"country":"United States","state":"Idaho","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.299315,43.3254 ], [ -114.299315,43.341632 ], [ -114.33133,43.341632 ], [ -114.33133,43.3254 ], [ -114.299315,43.3254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5406cbb1e4b044dc0e823997","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497746,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70124942,"text":"70124942 - 2014 - Geophysical expression of a buried niobium and rare earth element deposit: the Elk Creek carbonatite, Nebraska, USA","interactions":[],"lastModifiedDate":"2017-06-30T13:40:13","indexId":"70124942","displayToPublicDate":"2014-09-01T14:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical expression of a buried niobium and rare earth element deposit: the Elk Creek carbonatite, Nebraska, USA","docAbstract":"The lower Paleozoic Elk Creek carbonatite is a 6–8-km-diameter intrusive complex buried under 200 m of sedimentary rocks in southeastern Nebraska. It hosts the largest known niobium deposit in the U.S. and a rare earth element (REE) deposit. The carbonatite is composed of several lithologies, the relations of which are poorly understood. Niobium mineralization is most enriched within a magnetite beforsite (MB) unit, and REE oxides are most concentrated in a barite beforsite unit. The carbonatite intrudes Proterozoic country rocks. Efforts to explore the carbonatite have used geophysical data and drilling. A high-resolution airborne gravity gradient and magnetic survey was flown over the carbonatite in 2012. The carbonatite is associated with a roughly annular vertical gravity gradient high and a subdued central low and a central magnetic high surrounded by magnetic field values lower than those over the country rocks. Geophysical, borehole, and physical property data are combined for an interpretation of these signatures. The carbonatite is denser than the country rocks, explaining the gravity gradient high. Most carbonatite lithologies have weaker magnetic susceptibilities than those of the country rocks, explaining why the carbonatite does not produce a magnetic high at its margin. The primary source of the central magnetic high is interpreted to be mafic rocks that are strongly magnetized and are present in large volumes. MB is very dense (mean density 3200  kg/m3) and strongly magnetized (median 0.073 magnetic susceptibility), producing a gravity gradient high and contributing to the aeromagnetic high. Barite beforsite has physical properties similar to most of the carbonatite volume, making it a poor geophysical target. Geophysical anomalies indicate the presence of dense and strongly magnetized rocks at depths below existing boreholes, either a large volume of MB or another unknown lithology.","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/INT-2014-0002.1","usgsCitation":"Drenth, B.J., 2014, Geophysical expression of a buried niobium and rare earth element deposit: the Elk Creek carbonatite, Nebraska, USA: Interpretation, v. 2, no. 4, p. SJ169-SJ179, https://doi.org/10.1190/INT-2014-0002.1.","productDescription":"11 p.","startPage":"SJ169","endPage":"SJ179","numberOfPages":"11","ipdsId":"IP-053233","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":294877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294876,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/INT-2014-0002.1"}],"country":"United States","state":"Nebraska","otherGeospatial":"Elk Creek","volume":"2","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e6960e4b092f17df5a879","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":501028,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70128736,"text":"70128736 - 2014 - Resilience and resistance of sagebrush ecosystems: implications for state and transition models and management treatments","interactions":[],"lastModifiedDate":"2017-11-22T12:05:12","indexId":"70128736","displayToPublicDate":"2014-09-01T13:20:57","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Resilience and resistance of sagebrush ecosystems: implications for state and transition models and management treatments","docAbstract":"In sagebrush ecosystems invasion of annual exotics and expansion of piñon (Pinus monophylla Torr. and Frem.) and juniper (Juniperus occidentalis Hook., J. osteosperma [Torr.] Little) are altering fire regimes and resulting in large-scale ecosystem transformations. Management treatments aim to increase resilience to disturbance and enhance resistance to invasive species by reducing woody fuels and increasing native perennial herbaceous species. We used Sagebrush Steppe Treatment Evaluation Project data to test predictions on effects of fire vs. mechanical treatments on resilience and resistance for three site types exhibiting cheatgrass (Bromus tectorum L.) invasion and/or piñon and juniper expansion: 1) warm and dry Wyoming big sagebrush (WY shrub); 2) warm and moist Wyoming big sagebrush (WY PJ); and 3) cool and moist mountain big sagebrush (Mtn PJ). Warm and dry (mesic/aridic) WY shrub sites had lower resilience to fire (less shrub recruitment and native perennial herbaceous response) than cooler and moister (frigid/xeric) WY PJ and Mtn PJ sites. Warm (mesic) WY Shrub and WY PJ sites had lower resistance to annual exotics than cool (frigid to cool frigid) Mtn PJ sites. In WY shrub, fire and sagebrush mowing had similar effects on shrub cover and, thus, on perennial native herbaceous and exotic cover. In WY PJ and Mtn PJ, effects were greater for fire than cut-and-leave treatments and with high tree cover in general because most woody vegetation was removed increasing resources for other functional groups. In WY shrub, about 20% pretreatment perennial native herb cover was necessary to prevent increases in exotics after treatment. Cooler and moister WY PJ and especially Mtn PJ were more resistant to annual exotics, but perennial native herb cover was still required for site recovery. We use our results to develop state and transition models that illustrate how resilience and resistance influence vegetation dynamics and management options.","language":"English","publisher":"Society for Range Management","publisherLocation":"Lakewood, CO","doi":"10.2111/REM-D-13-00074.1","usgsCitation":"Chambers, J.C., Miller, R.F., Board, D.I., Pyke, D.A., Roundy, B.A., Grace, J.B., Schupp, E., and Tausch, R.J., 2014, Resilience and resistance of sagebrush ecosystems: implications for state and transition models and management treatments: Rangeland Ecology and Management, v. 67, no. 5, p. 440-454, https://doi.org/10.2111/REM-D-13-00074.1.","productDescription":"15 p.","startPage":"440","endPage":"454","numberOfPages":"15","ipdsId":"IP-052549","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2111/rem-d-13-00074.1","text":"Publisher Index Page"},{"id":295304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295283,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/REM-D-13-00074.1"}],"volume":"67","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"543e3b2fe4b0fd76af69cf2d","contributors":{"authors":[{"text":"Chambers, Jeanne C.","contributorId":92186,"corporation":false,"usgs":true,"family":"Chambers","given":"Jeanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":503146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Richard F.","contributorId":79045,"corporation":false,"usgs":true,"family":"Miller","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":503144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Board, David I.","contributorId":108042,"corporation":false,"usgs":true,"family":"Board","given":"David","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":503149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":503143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roundy, Bruce A.","contributorId":95824,"corporation":false,"usgs":true,"family":"Roundy","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":503142,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schupp, Eugene W.","contributorId":83455,"corporation":false,"usgs":true,"family":"Schupp","given":"Eugene W.","affiliations":[],"preferred":false,"id":503145,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tausch, Robin J.","contributorId":103977,"corporation":false,"usgs":true,"family":"Tausch","given":"Robin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":503148,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70128746,"text":"70128746 - 2014 - Ecological scale of bird community response to piñon-juniper removal","interactions":[],"lastModifiedDate":"2017-11-22T11:31:55","indexId":"70128746","displayToPublicDate":"2014-09-01T13:15:11","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Ecological scale of bird community response to piñon-juniper removal","docAbstract":"Piñon (Pinus spp.) and juniper (Juniperus spp.) removal is a common management approach to restore sagebrush (Artemisia spp.) vegetation in areas experiencing woodland expansion. Because many management treatments are conducted to benefit sagebrush-obligate birds, we surveyed bird communities to assess treatment effectiveness in establishing sagebrush bird communities at study sites in Utah, Nevada, Idaho, and Oregon. Our analyses included data from 1 or 2 yr prior to prescribed fire or mechanical treatment and 3 to 5 yr posttreatment. We used detrended correspondence analysis to 1) identify primary patterns of bird communities surveyed from 2006 to 2011 at point transects, 2) estimate ecological scale of change needed to achieve treatment objectives from the relative dissimilarity of survey points to the ordination region delineating sagebrush bird communities, and 3) measure changes in pre- and posttreatment bird communities. Birds associated with sagebrush, woodlands, and ecotones were detected on our surveys; increased dissimilarity of survey points to the sagebrush bird community was characterized by a gradient of increased juniper and decreased sagebrush cover. Prescribed fires burned between 30% and 97% of our bird survey points. However, from 6% to 24% cover of piñon-juniper still remained posttreatment on the four treatment plots. We measured only slight changes in bird communities, which responded primarily to current vegetation rather than relative amount of change from pretreatment vegetation structure. Bird communities at survey points located at greater ecological scales from the sagebrush bird community changed least and will require more significant impact to achieve changes. Sagebrush bird communities were established at only two survey points, which were adjacent to a larger sagebrush landscape and following almost complete juniper removal by mechanical treatment. Our results indicate that management treatments that leave residual woodland cover and are not adjacent to extensive sagebrush stands are unlikely to establish sagebrush birds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Range Management","publisherLocation":"Lakewood, CO","doi":"10.2111/REM-D-13-00023.1","usgsCitation":"Knick, S.T., Hanser, S., and Leu, M., 2014, Ecological scale of bird community response to piñon-juniper removal: Rangeland Ecology and Management, v. 67, no. 5, p. 553-562, https://doi.org/10.2111/REM-D-13-00023.1.","productDescription":"10 p.","startPage":"553","endPage":"562","numberOfPages":"10","ipdsId":"IP-052033","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2111/rem-d-13-00023.1","text":"Publisher Index Page"},{"id":295302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295290,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/REM-D-13-00023.1"},{"id":295291,"type":{"id":15,"text":"Index Page"},"url":"https://www.srmjournals.org/doi/pdf/10.2111/REM-D-13-00023.1"}],"volume":"67","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"543e3b23e4b0fd76af69cf02","contributors":{"authors":[{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":503173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanser, Steven E.","contributorId":17930,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven E.","affiliations":[],"preferred":false,"id":503174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leu, Matthias","contributorId":103976,"corporation":false,"usgs":true,"family":"Leu","given":"Matthias","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":503175,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70124278,"text":"70124278 - 2014 - Projections of the Ganges-Brahmaputra precipitation: downscaled from GCM predictors","interactions":[],"lastModifiedDate":"2014-09-11T13:13:11","indexId":"70124278","displayToPublicDate":"2014-09-01T13:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Projections of the Ganges-Brahmaputra precipitation: downscaled from GCM predictors","docAbstract":"Downscaling Global Climate Model (GCM) projections of future climate is critical for impact studies. Downscaling enables use of GCM experiments for regional scale impact studies by generating regionally specific forecasts connecting global scale predictions and regional scale dynamics. We employed the Statistical Downscaling Model (SDSM) to downscale 21st century precipitation for two data-sparse hydrologically challenging river basins in South Asia—the Ganges and the Brahmaputra. We used CGCM3.1 by Canadian Center for Climate Modeling and Analysis version 3.1 predictors in downscaling the precipitation. Downscaling was performed on the basis of established relationships between historical Global Summary of Day observed precipitation records from 43 stations and National Center for Environmental Prediction re-analysis large scale atmospheric predictors. Although the selection of predictors was challenging during the set-up of SDSM, they were found to be indicative of important physical forcings in the basins. The precipitation of both basins was largely influenced by geopotential height: the Ganges precipitation was modulated by the U component of the wind and specific humidity at 500 and 1000 h Pa pressure levels; whereas, the Brahmaputra precipitation was modulated by the V component of the wind at 850 and 1000 h Pa pressure levels. The evaluation of the SDSM performance indicated that model accuracy for reproducing precipitation at the monthly scale was acceptable, but at the daily scale the model inadequately simulated some daily extreme precipitation events. Therefore, while the downscaled precipitation may not be the suitable input to analyze future extreme flooding or drought events, it could be adequate for analysis of future freshwater availability. Analysis of the CGCM3.1 downscaled precipitation projection with respect to observed precipitation reveals that the precipitation regime in each basin may be significantly impacted by climate change. Precipitation during and after the monsoon is likely to increase in both basins under the A1B and A2 emission scenarios; whereas, the pre-monsoon precipitation is likely to decrease. Peak monsoon precipitation is likely to shift from July to August, and may impact the livelihoods of large rural populations linked to subsistence agriculture in the basins. Uncertainty analysis of the downscaled precipitation indicated that the uncertainty in the downscaled precipitation was less than the uncertainty in the original CGCM3.1 precipitation; hence, the CGCM3.1 downscaled precipitation was a better input for the regional hydrological impact studies. However, downscaled precipitation from multiple GCMs is suggested for comprehensive impact studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.05.016","usgsCitation":"Pervez, M., and Henebry, G., 2014, Projections of the Ganges-Brahmaputra precipitation: downscaled from GCM predictors: Journal of Hydrology, v. 517, p. 120-134, https://doi.org/10.1016/j.jhydrol.2014.05.016.","productDescription":"15 p.","startPage":"120","endPage":"134","numberOfPages":"15","ipdsId":"IP-049180","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2014.05.016","text":"Publisher Index Page"},{"id":293736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293735,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2014.05.016"}],"country":"Bangladesh;China;India","otherGeospatial":"Brahmaputra;Ganges","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75.0,25.0 ], [ 75.0,30.0 ], [ 95.0,30.0 ], [ 95.0,25.0 ], [ 75.0,25.0 ] ] ] } } ] }","volume":"517","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5412b9b7e4b0239f1986bad5","contributors":{"authors":[{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":74230,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":500642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henebry, Geoffrey M.","contributorId":48114,"corporation":false,"usgs":true,"family":"Henebry","given":"Geoffrey M.","affiliations":[],"preferred":false,"id":500641,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147935,"text":"70147935 - 2014 - Northern bobwhite predator avoidance behavior in response to varying types of threat","interactions":[],"lastModifiedDate":"2015-05-11T10:58:15","indexId":"70147935","displayToPublicDate":"2014-09-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Northern bobwhite predator avoidance behavior in response to varying types of threat","docAbstract":"

The flight behavior and cover use of northern bobwhite (Colinus virginianus) have been examined in several studies, but the current data lack quantitative measures of how bobwhites respond to natural threats. We examined aspects of bobwhite behavior in response to 4 threat categories: researcher, hunter, raptor, and mammal. We found that bobwhite flight distance is best predicted by threat type and covey size, and bobwhite flight speed is best predicted by threat type. Bobwhites flushed by the hunter threat and the raptor threat selected for significantly taller obstruction at landing sites than was randomly available, with average heights of 6.2cm taller (P=0.034), and 38.1cm taller (P<0.001), respectively. Raptor-flushed bobwhites also selected for significantly denser shrub cover (42.2%, P<0.001) and a lower angle of obstruction (70.4 degrees, P<0.001) at landing points than was randomly available. In the process of data collection, we also observed bobwhite roost locations have lower visual height obstruction (7.3cm, P=0.03), lower shrub intercept (10.1%, P=0.02), and greater angles of obstruction (18.5 degrees, P=0.005) than bobwhite diurnal locations; this may facilitate escape from nocturnal mammalian predators. Our results suggest that bobwhite escape strategies and cover use vary among threat types. These results support current management recommendations of creating a patchwork of vegetation covers for bobwhites but also suggest how a more complete understanding of bobwhite behavior would improve management and conservation efforts.

","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.766","usgsCitation":"Perkins, R., Boal, C.W., Rollins, D., and Perez, R., 2014, Northern bobwhite predator avoidance behavior in response to varying types of threat: Journal of Wildlife Management, v. 78, no. 7, p. 1272-1281, https://doi.org/10.1002/jwmg.766.","productDescription":"10 p.","startPage":"1272","endPage":"1281","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043668","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-27","publicationStatus":"PW","scienceBaseUri":"5551d2b6e4b0a92fa7e93bf7","contributors":{"authors":[{"text":"Perkins, R.A.","contributorId":26854,"corporation":false,"usgs":true,"family":"Perkins","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":546597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":546434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rollins, Dale","contributorId":140708,"corporation":false,"usgs":false,"family":"Rollins","given":"Dale","email":"","affiliations":[],"preferred":false,"id":546598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perez, R.","contributorId":99037,"corporation":false,"usgs":true,"family":"Perez","given":"R.","email":"","affiliations":[],"preferred":false,"id":546599,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70131503,"text":"70131503 - 2014 - Use of isotopic sulfur to determine whitebark pine consumption by Yellowstone bears: a reassessment","interactions":[],"lastModifiedDate":"2014-11-13T11:00:33","indexId":"70131503","displayToPublicDate":"2014-09-01T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Use of isotopic sulfur to determine whitebark pine consumption by Yellowstone bears: a reassessment","docAbstract":"

Use of naturally occurring stable isotopes to estimate assimilated diet of bears is one of the single greatest breakthroughs in nutritional ecology during the past 20 years. Previous research in the Greater Yellowstone Ecosystem (GYE), USA, established a positive relationship between the stable isotope of sulfur (δ34S) and consumption of whitebark pine (Pinus albicaulis) seeds. That work combined a limited sample of hair, blood clots, and serum. Here we use a much larger sample to reassess those findings. We contrasted δ34S values in spring hair and serum with abundance of seeds of whitebark pine in samples collected from grizzly (Ursus arctos) and American black bears (U. americanus) in the GYE during 2000–2010. Although we found a positive relationship between δ34S values in spring hair and pine seed abundance for grizzly bears, the coefficients of determination were small (R2 ≤ 0.097); we failed to find a similar relationship with black bears. Values of δ34S in spring hair were larger in black bears and δ34S values in serum of grizzly bears were lowest in September and October, a time when we expect δ34S to peak if whitebark pine seeds were the sole source of high δ34S. The relationship between δ34S in bear tissue and the consumption of whitebark pine seeds, as originally reported, may not be as clean a method as proposed. Data we present here suggest other foods have high values of δ34S, and there is spatial heterogeneity affecting the δ34S values in whitebark pine, which must be addressed.

","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","collaboration":"U.S. Fish and Wildlife Service","usgsCitation":"Schwartz, C.C., Teisberg, J.E., Fortin, J.K., Haroldson, M.A., Servheen, C., Robbins, C.T., and van Manen, F.T., 2014, Use of isotopic sulfur to determine whitebark pine consumption by Yellowstone bears: a reassessment: Wildlife Society Bulletin, v. 38, no. 3, p. 664-670.","productDescription":"7 p.","startPage":"664","endPage":"670","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051617","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296061,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/wsb.426/abstract"}],"country":"United States","otherGeospatial":"Yellowstone National Park","volume":"38","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d63fe4b04d4b7dbd66d3","contributors":{"authors":[{"text":"Schwartz, Charles C.","contributorId":124574,"corporation":false,"usgs":false,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":5119,"text":"Retired from U.S. Geological Survey, Interagency Grizzly Bear Study Team, Northern Rocky Mountain Science Center, 2327 University Way, suite 2, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":521351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teisberg, Justin E.","contributorId":124582,"corporation":false,"usgs":false,"family":"Teisberg","given":"Justin","email":"","middleInitial":"E.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":521352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fortin, Jennifer K.","contributorId":124583,"corporation":false,"usgs":false,"family":"Fortin","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":521353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Servheen, Christopher","contributorId":124584,"corporation":false,"usgs":false,"family":"Servheen","given":"Christopher","email":"","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":521354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":521355,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521356,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70132321,"text":"70132321 - 2014 - Combining demographic and genetic factors to assess population vulnerability in stream species","interactions":[],"lastModifiedDate":"2020-12-28T12:29:46.865868","indexId":"70132321","displayToPublicDate":"2014-09-01T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Combining demographic and genetic factors to assess population vulnerability in stream species","docAbstract":"

Accelerating climate change and other cumulative stressors create an urgent need to understand the influence of environmental variation and landscape features on the connectivity and vulnerability of freshwater species. Here, we introduce a novel modeling framework for aquatic systems that integrates spatially explicit, individual‐based, demographic and genetic (demogenetic) assessments with environmental variables. To show its potential utility, we simulated a hypothetical network of 19 migratory riverine populations (e.g., salmonids) using a riverscape connectivity and demogenetic model (CDFISH). We assessed how stream resistance to movement (a function of water temperature, fluvial distance, and physical barriers) might influence demogenetic connectivity, and hence, population vulnerability. We present demographic metrics (abundance, immigration, and change in abundance) and genetic metrics (diversity, differentiation, and change in differentiation), and combine them into a single vulnerability index for identifying populations at risk of extirpation. We considered four realistic scenarios that illustrate the relative sensitivity of these metrics for early detection of reduced connectivity: (1) maximum resistance due to high water temperatures throughout the network, (2) minimum resistance due to low water temperatures throughout the network, (3) increased resistance at a tributary junction caused by a partial barrier, and (4) complete isolation of a tributary, leaving resident individuals only. We then applied this demogenetic framework using empirical data for a bull trout (Salvelinus confluentus) metapopulation in the upper Flathead River system, Canada and USA, to assess how current and predicted future stream warming may influence population vulnerability. Results suggest that warmer water temperatures and associated barriers to movement (e.g., low flows, dewatering) are predicted to fragment suitable habitat for migratory salmonids, resulting in the loss of genetic diversity and reduced numbers in certain vulnerable populations. This demogenetic simulation framework, which is illustrated in a web‐based interactive mapping prototype, should be useful for evaluating population vulnerability in a wide variety of dendritic and fragmented riverscapes, helping to guide conservation and management efforts for freshwater species.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0499.1","usgsCitation":"Landguth, E., Muhlfeld, C.C., Jones, L.W., Waples, R.S., Whited, D., Lowe, W.H., Lucotch, J., Neville, H., and Luikart, G., 2014, Combining demographic and genetic factors to assess population vulnerability in stream species: Ecological Applications, v. 24, no. 6, p. 1505-1524, https://doi.org/10.1890/13-0499.1.","productDescription":"20 p.","startPage":"1505","endPage":"1524","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044696","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Flathead River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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L.","contributorId":126719,"corporation":false,"usgs":false,"family":"Landguth","given":"Erin L.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":522727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Leslie W. ljones@usgs.gov","contributorId":3029,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"ljones@usgs.gov","middleInitial":"W.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":522725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waples, Robin S.","contributorId":126721,"corporation":false,"usgs":false,"family":"Waples","given":"Robin","email":"","middleInitial":"S.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":522729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whited, Diane","contributorId":126718,"corporation":false,"usgs":false,"family":"Whited","given":"Diane","affiliations":[{"id":6576,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":522726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":522730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lucotch, John","contributorId":126720,"corporation":false,"usgs":false,"family":"Lucotch","given":"John","email":"","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":522728,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Neville, Helen","contributorId":126723,"corporation":false,"usgs":false,"family":"Neville","given":"Helen","affiliations":[{"id":6579,"text":"Trout Unlimited, Boise, ID, USA","active":true,"usgs":false}],"preferred":false,"id":522731,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luikart, Gordon","contributorId":124531,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":522732,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70126219,"text":"70126219 - 2014 - Tidal and seasonal effects on survival rates of the endangered California clapper rail: Does invasive Spartina facilitate greater survival in a dynamic environment?","interactions":[],"lastModifiedDate":"2017-10-30T11:22:24","indexId":"70126219","displayToPublicDate":"2014-09-01T09:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tidal and seasonal effects on survival rates of the endangered California clapper rail: Does invasive Spartina facilitate greater survival in a dynamic environment?","title":"Tidal and seasonal effects on survival rates of the endangered California clapper rail: Does invasive Spartina facilitate greater survival in a dynamic environment?","docAbstract":"Invasive species frequently degrade habitats, disturb ecosystem processes, and can increase the likelihood of extinction of imperiled populations. However, novel or enhanced functions provided by invading species may reduce the impact of processes that limit populations. It is important to recognize how invasive species benefit endangered species to determine overall effects on sensitive ecosystems. For example, since the 1990s, hybrid Spartina (Spartina foliosa × alterniflora) has expanded throughout South San Francisco Bay, USA, supplanting native vegetation and invading mudflats. The endangered California clapper rail (Rallus longirostris obsoletus) uses the tall, dense hybrid Spartina for cover and nesting, but the effects of hybrid Spartina on clapper rail survival was unknown. We estimated survival rates of 108 radio-marked California clapper rails in South San Francisco Bay from January 2007 to March 2010, a period of extensive hybrid Spartina eradication, with Kaplan–Meier product limit estimators. Clapper rail survival patterns were consistent with hybrid Spartina providing increased refuge cover from predators during tidal extremes which flood native vegetation, particularly during the winter when the vegetation senesces. Model averaged annual survival rates within hybrid Spartina dominated marshes before eradication (Ŝ = 0.466) were greater than the same marshes posttreatment (Ŝ = 0.275) and a marsh dominated by native vegetation (Ŝ = 0.272). However, models with and without marsh treatment as explanatory factor for survival rates had nearly equivalent support in the observed data, lending ambiguity as to whether hybrid Spartina facilitated greater survival rates than native marshland. Conservation actions to aid in recovery of this endangered species should recognize the importance of available of high tide refugia, particularly in light of invasive species eradication programs and projections of future sea-level rise.","language":"English","publisher":"Springer","doi":"10.1007/s10530-013-0634-5","usgsCitation":"Overton, C.T., Casazza, M.L., Takekawa, J.Y., Strong, D.R., and Holyoak, M., 2014, Tidal and seasonal effects on survival rates of the endangered California clapper rail: Does invasive Spartina facilitate greater survival in a dynamic environment?: Biological Invasions, v. 16, no. 9, p. 1897-1914, https://doi.org/10.1007/s10530-013-0634-5.","productDescription":"18 p.","startPage":"1897","endPage":"1914","ipdsId":"IP-034687","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472790,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.escholarship.org/uc/item/1w5589nv","text":"External Repository"},{"id":294285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Arrowhead Marsh, Cogswell Marsh, Colma Creek, Laumeister Marsh, San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.414343,37.426651 ], [ -122.414343,37.754344 ], [ -121.988832,37.754344 ], [ -121.988832,37.426651 ], [ -122.414343,37.426651 ] ] ] } } ] }","volume":"16","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-01-21","publicationStatus":"PW","scienceBaseUri":"5422bb38e4b08312ac7cf10b","contributors":{"authors":[{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":501951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strong, Donald R.","contributorId":73882,"corporation":false,"usgs":true,"family":"Strong","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":501955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holyoak, Marcel","contributorId":15076,"corporation":false,"usgs":false,"family":"Holyoak","given":"Marcel","email":"","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":501954,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70135338,"text":"70135338 - 2014 - Variation in the terrestrial isotopic composition and atomic weight of argon","interactions":[],"lastModifiedDate":"2014-12-12T11:14:14","indexId":"70135338","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Variation in the terrestrial isotopic composition and atomic weight of argon","docAbstract":"

The isotopic composition and atomic weight of argon (Ar) are variable in terrestrial materials. Those variations are a source of uncertainty in the assignment of standard properties for Ar, but they provide useful information in many areas of science. Variations in the stable isotopic composition and atomic weight of Ar are caused by several different processes, including (1) isotope production from other elements by radioactive decay (radiogenic isotopes) or other nuclear transformations (e.g., nucleogenic isotopes), and (2) isotopic fractionation by physical-chemical processes such as diffusion or phase equilibria. Physical-chemical processes cause correlated mass-dependent variations in the Ar isotope-amount ratios (40Ar/36Ar, 38Ar/36Ar), whereas nuclear transformation processes cause non-mass-dependent variations. While atmospheric Ar can serve as an abundant and homogeneous isotopic reference, deviations from the atmospheric isotopic ratios in other Ar occurrences limit the precision with which a standard atomic weight can be given for Ar. Published data indicate variation of Ar atomic weights in normal terrestrial materials between about 39.7931 and 39.9624. The upper bound of this interval is given by the atomic mass of 40Ar, as some samples contain almost pure radiogenic 40Ar. The lower bound is derived from analyses of pitchblende (uranium mineral) containing large amounts of nucleogenic 36Ar and 38Ar. Within this interval, measurements of different isotope ratios (40Ar/36Ar or 38Ar/36Ar) at various levels of precision are widely used for studies in geochronology, water–rock interaction, atmospheric evolution, and other fields.

","language":"English","publisher":"International Union of Pure and Applied Chemistry","doi":"10.1515/pac-2013-0918","usgsCitation":"Böhlke, J., 2014, Variation in the terrestrial isotopic composition and atomic weight of argon: Pure and Applied Chemistry, v. 86, no. 9, p. 1421-1432, https://doi.org/10.1515/pac-2013-0918.","productDescription":"12 p.","startPage":"1421","endPage":"1432","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055456","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472798,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1515/pac-2013-0918","text":"Publisher Index Page"},{"id":296642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548c1fd9e4b0ca8c43c3697e","contributors":{"authors":[{"text":"Böhlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":1285,"corporation":false,"usgs":true,"family":"Böhlke","given":"John Karl","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":527075,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70133242,"text":"70133242 - 2014 - Age-specific survival of male golden-cheeked warblers on the Fort Hood Military Reservation, Texas","interactions":[],"lastModifiedDate":"2014-11-18T10:01:52","indexId":"70133242","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Age-specific survival of male golden-cheeked warblers on the Fort Hood Military Reservation, Texas","docAbstract":"

Population models are essential components of large-scale conservation and management plans for the federally endangered Golden-cheeked Warbler (Setophaga chrysoparia; hereafter GCWA). However, existing models are based on vital rate estimates calculated using relatively small data sets that are now more than a decade old. We estimated more current, precise adult and juvenile apparent survival (Φ) probabilities and their associated variances for male GCWAs. In addition to providing estimates for use in population modeling, we tested hypotheses about spatial and temporal variation in Φ. We assessed whether a linear trend in Φ or a change in the overall mean Φ corresponded to an observed increase in GCWA abundance during 1992-2000 and if Φ varied among study plots. To accomplish these objectives, we analyzed long-term GCWA capture-resight data from 1992 through 2011, collected across seven study plots on the Fort Hood Military Reservation using a Cormack-Jolly-Seber model structure within program MARK. We also estimated Φ process and sampling variances using a variance-components approach. Our results did not provide evidence of site-specific variation in adult Φ on the installation. Because of a lack of data, we could not assess whether juvenile Φ varied spatially. We did not detect a strong temporal association between GCWA abundance and Φ. Mean estimates of Φ for adult and juvenile male GCWAs for all years analyzed were 0.47 with a process variance of 0.0120 and a sampling variance of 0.0113 and 0.28 with a process variance of 0.0076 and a sampling variance of 0.0149, respectively. Although juvenile Φ did not differ greatly from previous estimates, our adult Φ estimate suggests previous GCWA population models were overly optimistic with respect to adult survival. These updated Φ probabilities and their associated variances will be incorporated into new population models to assist with GCWA conservation decision making.

","language":"English","publisher":"Resilience Alliance Publications","doi":"10.5751/ACE-00693-090204","usgsCitation":"Duarte, A., Hines, J., Nichols, J., Hatfield, J., and Weckerly, F.W., 2014, Age-specific survival of male golden-cheeked warblers on the Fort Hood Military Reservation, Texas: Avian Conservation and Ecology, v. 9, no. 2, 9 p., https://doi.org/10.5751/ACE-00693-090204.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057174","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472792,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-00693-090204","text":"Publisher Index Page"},{"id":296046,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Fort Hood","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.87307739257812,\n 30.99291427996619\n ],\n [\n -97.87307739257812,\n 31.34132223690837\n ],\n [\n -97.47001647949219,\n 31.34132223690837\n ],\n [\n -97.47001647949219,\n 30.99291427996619\n ],\n [\n -97.87307739257812,\n 30.99291427996619\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d62ce4b04d4b7dbd6541","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":524961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatfield, Jeffrey S. jhatfield@usgs.gov","contributorId":151,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeffrey S.","email":"jhatfield@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":524963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weckerly, Floyd W.","contributorId":10298,"corporation":false,"usgs":false,"family":"Weckerly","given":"Floyd","email":"","middleInitial":"W.","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":524964,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154986,"text":"70154986 - 2014 - Daily survival rates for nests of Black Skimmers from a core breeding area of the Southeastern USA","interactions":[],"lastModifiedDate":"2015-07-22T12:54:22","indexId":"70154986","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Daily survival rates for nests of Black Skimmers from a core breeding area of the Southeastern USA","docAbstract":"

Little is known about the reproductive success of Black Skimmers (Rynchops niger) throughout the southeastern USA where availability of undisturbed beaches for nesting is limited. Daily survival rates (DSR) of nests were examined at three nesting sites in Cape Romain National Wildlife Refuge (CRNWR), South Carolina, USA, 2009–2010. The percent of successful nests (n  =  346 nests) ranged from 42–69% among colony sites when data were pooled across both years. The DSR of nests was primarily related to colony site, predation risk, height of high tide, and clutch size. Predation and overwash were the principal causes of identifiable nest loss, each accounting for ∼33% of nest failures during the two study years. Because of the challenges of resighting skimmer chicks, we were not able to measure chick survival effectively and therefore accurate measures of productivity remain elusive. High variability in nest success among sites within close proximity to each other (<20 km) suggests factors at local scales such as disturbance, predation, and overwash events strongly influenced nest success of Black Skimmers during these 2 years as opposed to more region-wide stressors such as tropical storms or food availability. Although time-intensive techniques to control predators do exist, management options to limit flooding and overwash are far more limited. Conservation of Black Skimmers in the southeastern USA would benefit from coordinated, multi-state efforts to measure nest and chick survival.

","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/13-136.1","usgsCitation":"Brooks, G.L., Sanders, F.J., Gerard, P., and Jodice, P.G., 2014, Daily survival rates for nests of Black Skimmers from a core breeding area of the Southeastern USA: Wilson Journal of Ornithology, v. 126, no. 3, p. 443-450, https://doi.org/10.1676/13-136.1.","productDescription":"8 p.","startPage":"443","endPage":"450","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050848","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Cape Romain National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.53105926513672,\n 33.00779977111022\n ],\n [\n -79.53105926513672,\n 33.08550099414926\n ],\n [\n -79.32334899902342,\n 33.08550099414926\n ],\n [\n -79.32334899902342,\n 33.00779977111022\n ],\n [\n -79.53105926513672,\n 33.00779977111022\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beabe4b09a3b01b53089","contributors":{"authors":[{"text":"Brooks, Gillian L.","contributorId":31033,"corporation":false,"usgs":true,"family":"Brooks","given":"Gillian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":565309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Felicia J.","contributorId":56574,"corporation":false,"usgs":false,"family":"Sanders","given":"Felicia","email":"","middleInitial":"J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":565310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":565311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168472,"text":"70168472 - 2014 - Factors related to northern goshawk landscape use in the western Great Lakes region","interactions":[],"lastModifiedDate":"2016-02-16T22:12:27","indexId":"70168472","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Factors related to northern goshawk landscape use in the western Great Lakes region","docAbstract":"

Northern Goshawks (Accipiter gentilis) are a species of special conservation concern in the western Great Lakes bioregion and elsewhere in North America, and exhibit landscape-scale spatial use patterns. However, little information exists about Northern Goshawk habitat relations at broad spatial extents, as most existing published information comes from a few locations of relatively small spatial extent and, in some cases, short durations. We used an information-theoretic approach to evaluate competing hypotheses regarding factors (forest canopy cover, successional stage, and heights of the canopy top and base) related to odds of Northern Goshawk landscape use throughout the western Great Lakes bioregion based on an occupancy survey completed in 2008 (Bruggeman et al. 2011). We also combined these data with historical data of Northern Goshawk nest locations in the bioregion from 1979–2006 to evaluate the same competing hypotheses to elucidate long-term trends in use. The odds of Northern Goshawk use in 2008, and from 1979–2008, were positively correlated with average percent canopy cover. In the best-approximating models developed using 1979–2008 data, the odds of landscape use were positively correlated with the percentages of the landscape having canopy heights between 10 m and 25 m, and 25 m and 50 m, and the amount of variability in canopy base height. Also, the odds of landscape use were negatively correlated with the average height at the canopy base. Our results suggest multiple habitat factors were related to Northern Goshawk landscape-scale habitat use, similar to habitat use described at smaller spatial scales in the western Great Lakes bioregion and in western North America and Europe.

","language":"English","publisher":"Raptor Research Foundation","publisherLocation":"Hastings, MN","doi":"10.3356/JRR-13-0058.1","usgsCitation":"Bruggeman, J.E., Andersen, D., and Woodford, J.E., 2014, Factors related to northern goshawk landscape use in the western Great Lakes region: Journal of Raptor Research, v. 48, no. 3, p. 228-239, https://doi.org/10.3356/JRR-13-0058.1.","productDescription":"12 p.","startPage":"228","endPage":"239","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049904","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-13-0058.1","text":"Publisher Index Page"},{"id":318102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.294921875,\n 49.009050809382046\n ],\n [\n -95.2294921875,\n 48.980216985374994\n ],\n [\n -95.2294921875,\n 49.468124067331644\n ],\n [\n -94.7021484375,\n 49.35375571830993\n ],\n [\n -94.5703125,\n 48.83579746243093\n ],\n [\n -93.955078125,\n 48.66194284607006\n ],\n [\n -93.55957031249999,\n 48.574789910928864\n ],\n [\n -92.7685546875,\n 48.66194284607006\n ],\n [\n -92.28515625,\n 48.429200555568386\n ],\n [\n -91.7578125,\n 48.19538740833338\n ],\n [\n -91.01074218749999,\n 48.16608541901253\n ],\n [\n -90.615234375,\n 48.16608541901253\n ],\n [\n -89.6484375,\n 48.07807894349862\n ],\n [\n -89.296875,\n 48.04870994288686\n ],\n [\n -88.4619140625,\n 48.22467264956519\n ],\n [\n -87.71484375,\n 48.16608541901253\n ],\n [\n -85.517578125,\n 47.249406957888446\n ],\n [\n -84.5068359375,\n 46.649436163350245\n ],\n [\n -84.24316406249999,\n 46.58906908309182\n ],\n [\n -83.8916015625,\n 46.255846818480336\n ],\n [\n -83.583984375,\n 46.13417004624326\n ],\n [\n -83.4521484375,\n 45.89000815866182\n ],\n [\n -82.705078125,\n 45.521743896993634\n ],\n [\n -82.44140625,\n 44.902577996288876\n ],\n [\n -82.08984375,\n 43.70759350405294\n ],\n [\n -82.3974609375,\n 43.03677585761058\n ],\n [\n -82.705078125,\n 42.61779143282346\n ],\n [\n -83.14453125,\n 42.261049162113856\n ],\n [\n -83.408203125,\n 41.86956082699455\n ],\n [\n -84.55078125,\n 41.77131167976407\n ],\n [\n -85.6494140625,\n 41.902277040963696\n ],\n [\n -86.923828125,\n 42.00032514831621\n ],\n [\n -88.0224609375,\n 42.52069952914966\n ],\n [\n -90.9228515625,\n 43.67581809328341\n ],\n [\n -93.3837890625,\n 44.5278427984555\n ],\n [\n -95.2734375,\n 45.67548217560647\n ],\n [\n -96.6796875,\n 46.28622391806708\n ],\n [\n -97.1630859375,\n 47.754097979680026\n ],\n [\n -97.294921875,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c45641e4b0946c65218512","contributors":{"authors":[{"text":"Bruggeman, Jason E.","contributorId":18983,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":620462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":true,"id":620663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodford, James E.","contributorId":60865,"corporation":false,"usgs":false,"family":"Woodford","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":620664,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154987,"text":"70154987 - 2014 - Circulating fat-soluble vitamin concentrations and nutrient composition of aquatic prey eaten by American oystercatchers (Haematopus palliatus) in the southeastern United States","interactions":[],"lastModifiedDate":"2015-07-22T13:09:28","indexId":"70154987","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2191,"text":"Journal of Avian Medicine and Surgery","active":true,"publicationSubtype":{"id":10}},"title":"Circulating fat-soluble vitamin concentrations and nutrient composition of aquatic prey eaten by American oystercatchers (Haematopus palliatus) in the southeastern United States","docAbstract":"

The American oystercatcher (Haematopus palliatus palliatus) is currently listed as a species of high concern by the United States Shorebird Conservation Plan. Because nutritional status directly impacts overall health and reproduction of individuals and populations, adequate management of a wildlife population requires intimate knowledge of a species' diet and nutrient requirements. Fat-soluble vitamin concentrations in blood plasma obtained from American oystercatchers and proximate, vitamin, and mineral composition of various oystercatcher prey species were determined as baseline data to assess nutritional status and nutrient supply. Bird and prey species samples were collected from the Cape Romain region, South Carolina, USA, and the Altamaha River delta islands, Georgia, USA, where breeding populations appear relatively stable in recent years. Vitamin A levels in blood samples were higher than ranges reported as normal for domestic avian species, and vitamin D concentrations were lower than anticipated based on values observed in poultry. Vitamin E levels were within ranges previously reported for avian groups with broadly similar feeding niches such as herons, gulls, and terns (eg, aquatic/estuarine/marine). Prey species (oysters, mussels, clams, blood arks [Anadara ovalis], whelks [Busycon carica], false angel wings [Petricola pholadiformis]) were similar in water content to vertebrate prey, moderate to high in protein, and moderate to low in crude fat. Ash and macronutrient concentrations in prey species were high compared with requirements of carnivores or avian species. Prey items analyzed appear to meet nutritional requirements for oystercatchers, as estimated by extrapolation from domestic carnivores and poultry species; excesses, imbalances, and toxicities—particularly of minerals and fat-soluble vitamins—may warrant further investigation.

","language":"English","publisher":"Association of Avian Veterinarians","doi":"10.1647/2013-033","usgsCitation":"Carlson-Bremer, D., Norton, T., Sanders, F.J., Winn, B., Spinks, M.D., Glatt, B.A., Mazzaro, L., Jodice, P.G., Chen, T.C., and Dierenfeld, E.S., 2014, Circulating fat-soluble vitamin concentrations and nutrient composition of aquatic prey eaten by American oystercatchers (Haematopus palliatus) in the southeastern United States: Journal of Avian Medicine and Surgery, v. 28, no. 3, p. 216-224, https://doi.org/10.1647/2013-033.","productDescription":"9 p.","startPage":"216","endPage":"224","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033674","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Cape Romain; Wolfe Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.40162658691405,\n 33.008087679871835\n ],\n [\n -79.40162658691405,\n 33.10534697199519\n ],\n [\n -79.288330078125,\n 33.10534697199519\n ],\n [\n -79.288330078125,\n 33.008087679871835\n ],\n [\n -79.40162658691405,\n 33.008087679871835\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.33865356445312,\n 31.315514771622293\n ],\n [\n -81.33865356445312,\n 31.371226579385738\n ],\n [\n -81.27204895019531,\n 31.371226579385738\n ],\n [\n -81.27204895019531,\n 31.315514771622293\n ],\n [\n -81.33865356445312,\n 31.315514771622293\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaae4b09a3b01b53081","contributors":{"authors":[{"text":"Carlson-Bremer, Daphne","contributorId":27304,"corporation":false,"usgs":false,"family":"Carlson-Bremer","given":"Daphne","email":"","affiliations":[],"preferred":false,"id":565312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norton, Terry M.","contributorId":71020,"corporation":false,"usgs":true,"family":"Norton","given":"Terry M.","affiliations":[],"preferred":false,"id":565313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanders, Felicia J.","contributorId":56574,"corporation":false,"usgs":false,"family":"Sanders","given":"Felicia","email":"","middleInitial":"J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":565314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winn, Brad","contributorId":90852,"corporation":false,"usgs":true,"family":"Winn","given":"Brad","email":"","affiliations":[],"preferred":false,"id":565315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spinks, Mark D.","contributorId":140933,"corporation":false,"usgs":false,"family":"Spinks","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":565316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glatt, Batsheva A.","contributorId":145791,"corporation":false,"usgs":false,"family":"Glatt","given":"Batsheva","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":565317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzaro, Lisa","contributorId":145792,"corporation":false,"usgs":false,"family":"Mazzaro","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":565318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564466,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, Tai C.","contributorId":145793,"corporation":false,"usgs":false,"family":"Chen","given":"Tai","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":565319,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dierenfeld, Ellen S.","contributorId":7677,"corporation":false,"usgs":true,"family":"Dierenfeld","given":"Ellen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":565320,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70137967,"text":"70137967 - 2014 - Cross-scale assessment of potential habitat shifts in a rapidly changing climate","interactions":[],"lastModifiedDate":"2015-01-14T15:42:57","indexId":"70137967","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale assessment of potential habitat shifts in a rapidly changing climate","docAbstract":"

We assessed the ability of climatic, environmental, and anthropogenic variables to predict areas of high-risk for plant invasion and consider the relative importance and contribution of these predictor variables by considering two spatial scales in a region of rapidly changing climate. We created predictive distribution models, using Maxent, for three highly invasive plant species (Canada thistle, white sweetclover, and reed canarygrass) in Alaska at both a regional scale and a local scale. Regional scale models encompassed southern coastal Alaska and were developed from topographic and climatic data at a 2 km (1.2 mi) spatial resolution. Models were applied to future climate (2030). Local scale models were spatially nested within the regional area; these models incorporated physiographic and anthropogenic variables at a 30 m (98.4 ft) resolution. Regional and local models performed well (AUC values > 0.7), with the exception of one species at each spatial scale. Regional models predict an increase in area of suitable habitat for all species by 2030 with a general shift to higher elevation areas; however, the distribution of each species was driven by different climate and topographical variables. In contrast local models indicate that distance to right-of-ways and elevation are associated with habitat suitability for all three species at this spatial level. Combining results from regional models, capturing long-term distribution, and local models, capturing near-term establishment and distribution, offers a new and effective tool for highlighting at-risk areas and provides insight on how variables acting at different scales contribute to suitability predictions. The combinations also provides easy comparison, highlighting agreement between the two scales, where long-term distribution factors predict suitability while near-term do not and vice versa.

","language":"English","publisher":"Weed Science Society of America","doi":"10.1614/IPSM-D-13-00071.1","usgsCitation":"Jarnevich, C.S., Holcombe, T.R., Bell, E., Carlson, M.L., Graziano, G., Lamb, M., Seefeldt, S.S., and Morisette, J.T., 2014, Cross-scale assessment of potential habitat shifts in a rapidly changing climate: Invasive Plant Science and Management, v. 7, no. 3, p. 491-502, https://doi.org/10.1614/IPSM-D-13-00071.1.","productDescription":"12 p.","startPage":"491","endPage":"502","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054976","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":297255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula, Prince of Wales Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.138671875,\n 59.07444815466584\n ],\n [\n -152.138671875,\n 61.07423085631768\n ],\n [\n -147.744140625,\n 61.07423085631768\n ],\n [\n -147.744140625,\n 59.07444815466584\n ],\n [\n -152.138671875,\n 59.07444815466584\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -133.96728515625,\n 54.64205540129178\n ],\n [\n -133.96728515625,\n 56.37133494106981\n ],\n [\n -131.923828125,\n 56.37133494106981\n ],\n [\n -131.923828125,\n 54.64205540129178\n ],\n [\n -133.96728515625,\n 54.64205540129178\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"54dd2b6be4b08de9379b3379","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":538341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":538342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Elizabeth 0000-0002-1587-8241","orcid":"https://orcid.org/0000-0002-1587-8241","contributorId":49736,"corporation":false,"usgs":false,"family":"Bell","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":538343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson, Matthew L.","contributorId":138686,"corporation":false,"usgs":false,"family":"Carlson","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":12492,"text":"UAA Alaska Natural Heritage Program & Biological Sciences Department","active":true,"usgs":false}],"preferred":false,"id":538344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graziano, Gino","contributorId":138687,"corporation":false,"usgs":false,"family":"Graziano","given":"Gino","email":"","affiliations":[{"id":12493,"text":"UAF Cooperative Extension Service","active":true,"usgs":false}],"preferred":false,"id":538345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamb, Melinda","contributorId":138688,"corporation":false,"usgs":false,"family":"Lamb","given":"Melinda","email":"","affiliations":[{"id":6762,"text":"U.S. Forest Service, La Grande, Oregon","active":true,"usgs":false}],"preferred":false,"id":538346,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seefeldt, Steven S.","contributorId":138689,"corporation":false,"usgs":false,"family":"Seefeldt","given":"Steven","email":"","middleInitial":"S.","affiliations":[{"id":12493,"text":"UAF Cooperative Extension Service","active":true,"usgs":false}],"preferred":false,"id":538347,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":538348,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70169225,"text":"70169225 - 2014 - Uncertainty in the fate of soil organic carbon: A comparison of three conceptually different soil decomposition models","interactions":[],"lastModifiedDate":"2016-03-24T13:53:34","indexId":"70169225","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty in the fate of soil organic carbon: A comparison of three conceptually different soil decomposition models","docAbstract":"

Conventional Q10 soil organic matter decomposition models and more complex microbial models are available for making projections of future soil carbon dynamics. However, it is unclear (1) how well the conceptually different approaches can simulate observed decomposition and (2) to what extent the trajectories of long-term simulations differ when using the different approaches. In this study, we compared three structurally different soil carbon (C) decomposition models (one Q10 and two microbial models of different complexity), each with a one- and two-horizon version. The models were calibrated and validated using 4 years of measurements of heterotrophic soil CO2 efflux from trenched plots in a Dahurian larch (Larix gmelinii Rupr.) plantation. All models reproduced the observed heterotrophic component of soil CO2 efflux, but the trajectories of soil carbon dynamics differed substantially in 100 year simulations with and without warming and increased litterfall input, with microbial models that produced better agreement with observed changes in soil organic C in long-term warming experiments. Our results also suggest that both constant and varying carbon use efficiency are plausible when modeling future decomposition dynamics and that the use of a short-term (e.g., a few years) period of measurement is insufficient to adequately constrain model parameters that represent long-term responses of microbial thermal adaption. These results highlight the need to reframe the representation of decomposition models and to constrain parameters with long-term observations and multiple data streams. We urge caution in interpreting future soil carbon responses derived from existing decomposition models because both conceptual and parameter uncertainties are substantial.

","language":"English","publisher":"Wiley","doi":"10.1002/2014JG002701","usgsCitation":"He, Y., Yang, J., Zhuang, Q., McGuire, A.D., Zhu, Q., Liu, Y., and Teskey, R.O., 2014, Uncertainty in the fate of soil organic carbon: A comparison of three conceptually different soil decomposition models: Journal of Geophysical Research G: Biogeosciences, v. 119, no. 9, p. 1892-1905, https://doi.org/10.1002/2014JG002701.","productDescription":"14 p.","startPage":"1892","endPage":"1905","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055662","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":319372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-18","publicationStatus":"PW","scienceBaseUri":"56f50fd4e4b0f59b85e1ebfb","contributors":{"authors":[{"text":"He, Yujie","contributorId":32444,"corporation":false,"usgs":true,"family":"He","given":"Yujie","affiliations":[],"preferred":false,"id":623771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Jinyan","contributorId":166929,"corporation":false,"usgs":false,"family":"Yang","given":"Jinyan","email":"","affiliations":[],"preferred":false,"id":623772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":623773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":623362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Qing","contributorId":78664,"corporation":false,"usgs":true,"family":"Zhu","given":"Qing","email":"","affiliations":[],"preferred":false,"id":623774,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Yaling","contributorId":166930,"corporation":false,"usgs":false,"family":"Liu","given":"Yaling","email":"","affiliations":[],"preferred":false,"id":623775,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Teskey, Robert O.","contributorId":87596,"corporation":false,"usgs":true,"family":"Teskey","given":"Robert","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":623776,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70148148,"text":"70148148 - 2014 - Evaluation of a regional monitoring program's statistical power to detect temporal trends in forest health indicators","interactions":[],"lastModifiedDate":"2015-05-27T13:20:56","indexId":"70148148","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a regional monitoring program's statistical power to detect temporal trends in forest health indicators","docAbstract":"

Forests are socioeconomically and ecologically important ecosystems that are exposed to a variety of natural and anthropogenic stressors. As such, monitoring forest condition and detecting temporal changes therein remain critical to sound public and private forestland management. The National Parks Service’s Vital Signs monitoring program collects information on many forest health indicators, including species richness, cover by exotics, browse pressure, and forest regeneration. We applied a mixed-model approach to partition variability in data for 30 forest health indicators collected from several national parks in the eastern United States. We then used the estimated variance components in a simulation model to evaluate trend detection capabilities for each indicator. We investigated the extent to which the following factors affected ability to detect trends: (a) sample design: using simple panel versus connected panel design, (b) effect size: increasing trend magnitude, (c) sample size: varying the number of plots sampled each year, and (d) stratified sampling: post-stratifying plots into vegetation domains. Statistical power varied among indicators; however, indicators that measured the proportion of a total yielded higher power when compared to indicators that measured absolute or average values. In addition, the total variability for an indicator appeared to influence power to detect temporal trends more than how total variance was partitioned among spatial and temporal sources. Based on these analyses and the monitoring objectives of theVital Signs program, the current sampling design is likely overly intensive for detecting a 5 % trend·year−1 for all indicators and is appropriate for detecting a 1 % trend·year−1 in most indicators.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-014-0313-z","usgsCitation":"Perles, S.J., Wagner, T., Irwin, B.J., Manning, D.R., Callahan, K.K., and Marshall, M.R., 2014, Evaluation of a regional monitoring program's statistical power to detect temporal trends in forest health indicators: Environmental Management, v. 54, no. 3, p. 641-655, https://doi.org/10.1007/s00267-014-0313-z.","productDescription":"15 p.","startPage":"641","endPage":"655","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042096","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Eastern Rivers and Mountains Network","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.38720703125,\n 39.707186656826565\n ],\n [\n -79.60693359375,\n 38.53097889440026\n ],\n [\n -79.541015625,\n 38.20365531807149\n ],\n [\n -79.98046875,\n 38.03078569382294\n ],\n [\n -80.2880859375,\n 37.70120736474139\n ],\n [\n -80.35400390625,\n 37.52715361723378\n ],\n [\n -81.32080078125,\n 37.28279464911045\n ],\n [\n -81.62841796875,\n 37.17782559332976\n ],\n [\n -81.82617187499999,\n 39.027718840211605\n ],\n [\n -81.49658203125,\n 39.436192999314095\n ],\n [\n -81.298828125,\n 39.38526381099777\n ],\n [\n -80.85937499999999,\n 39.65645604812829\n ],\n [\n -80.61767578124999,\n 40.49709237269567\n ],\n [\n -80.66162109375,\n 40.6306300839918\n ],\n [\n -80.5517578125,\n 40.730608477796636\n ],\n [\n -80.5517578125,\n 41.96765920367816\n ],\n [\n -79.65087890624999,\n 42.32606244456202\n ],\n [\n -74.619140625,\n 42.293564192170095\n ],\n [\n -74.24560546875,\n 42.032974332441405\n ],\n [\n -73.98193359375,\n 41.64007838467894\n ],\n [\n -73.98193359375,\n 41.3108238809182\n ],\n [\n -74.33349609375,\n 40.863679665481676\n ],\n [\n -74.59716796875,\n 40.74725696280421\n ],\n [\n -74.619140625,\n 40.26276066437183\n ],\n [\n -75.146484375,\n 40.04443758460859\n ],\n [\n -75.498046875,\n 39.85915479295669\n ],\n [\n -75.76171875,\n 39.9434364619742\n ],\n [\n -75.56396484375,\n 40.17887331434696\n ],\n [\n -75.5859375,\n 40.43022363450859\n ],\n [\n -75.91552734375,\n 40.59727063442027\n ],\n [\n -76.88232421875,\n 40.56389453066509\n ],\n [\n -77.9150390625,\n 40.38002840251183\n ],\n [\n -78.837890625,\n 40.16208338164619\n ],\n [\n -79.38720703125,\n 39.707186656826565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-16","publicationStatus":"PW","scienceBaseUri":"5566eac5e4b0d9246a9ec2df","contributors":{"authors":[{"text":"Perles, Stephanie J.","contributorId":140969,"corporation":false,"usgs":false,"family":"Perles","given":"Stephanie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":547761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":547762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manning, Douglas R.","contributorId":61154,"corporation":false,"usgs":true,"family":"Manning","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":547763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callahan, Kristina K.","contributorId":140970,"corporation":false,"usgs":false,"family":"Callahan","given":"Kristina","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547764,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marshall, Matthew R.","contributorId":140971,"corporation":false,"usgs":false,"family":"Marshall","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":547765,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70140770,"text":"70140770 - 2014 - Analysis of regional scale risk to whirling disease in populations of Colorado and Rio Grande cutthroat trout using Bayesian belief network model","interactions":[],"lastModifiedDate":"2015-02-11T11:55:06","indexId":"70140770","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3300,"text":"Risk Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of regional scale risk to whirling disease in populations of Colorado and Rio Grande cutthroat trout using Bayesian belief network model","docAbstract":"

Introduction and spread of the parasite Myxobolus cerebralis, the causative agent of whirling disease, has contributed to the collapse of wild trout populations throughout the intermountain west. Of concern is the risk the disease may have on conservation and recovery of native cutthroat trout. We employed a Bayesian belief network to assess probability of whirling disease in Colorado River and Rio Grande cutthroat trout (Oncorhynchus clarkii pleuriticus and Oncorhynchus clarkii virginalis, respectively) within their current ranges in the southwest United States. Available habitat (as defined by gradient and elevation) for intermediate oligochaete worm host, Tubifex tubifex, exerted the greatest influence on the likelihood of infection, yet prevalence of stream barriers also affected the risk outcome. Management areas that had the highest likelihood of infected Colorado River cutthroat trout were in the eastern portion of their range, although the probability of infection was highest for populations in the southern, San Juan subbasin. Rio Grande cutthroat trout had a relatively low likelihood of infection, with populations in the southernmost Pecos management area predicted to be at greatest risk. The Bayesian risk assessment model predicted the likelihood of whirling disease infection from its principal transmission vector, fish movement, and suggested that barriers may be effective in reducing risk of exposure to native trout populations. Data gaps, especially with regard to location of spawning, highlighted the importance in developing monitoring plans that support future risk assessments and adaptive management for subspecies of cutthroat trout.

","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1111/risa.12189","usgsCitation":"Kolb Ayre, K., Caldwell, C.A., Stinson, J., and Landis, W.G., 2014, Analysis of regional scale risk to whirling disease in populations of Colorado and Rio Grande cutthroat trout using Bayesian belief network model: Risk Analysis, v. 34, no. 9, p. 1589-1605, https://doi.org/10.1111/risa.12189.","productDescription":"17 p.","startPage":"1589","endPage":"1605","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045113","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":297919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.06054687499999,\n 35.08395557927643\n ],\n [\n -112.06054687499999,\n 43.29320031385282\n ],\n [\n -103.86474609375,\n 43.29320031385282\n ],\n [\n -103.86474609375,\n 35.08395557927643\n ],\n [\n -112.06054687499999,\n 35.08395557927643\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-24","publicationStatus":"PW","scienceBaseUri":"54dd2b32e4b08de9379b32a6","contributors":{"authors":[{"text":"Kolb Ayre, Kimberley","contributorId":139236,"corporation":false,"usgs":false,"family":"Kolb Ayre","given":"Kimberley","email":"","affiliations":[],"preferred":false,"id":540444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":540395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stinson, Jonah","contributorId":139237,"corporation":false,"usgs":false,"family":"Stinson","given":"Jonah","email":"","affiliations":[],"preferred":false,"id":540445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landis, Wayne G.","contributorId":73518,"corporation":false,"usgs":true,"family":"Landis","given":"Wayne","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":540446,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189093,"text":"70189093 - 2014 - Structure and tectonics of the northwestern United States from EarthScope USArray magnetotelluric data","interactions":[],"lastModifiedDate":"2017-06-29T15:06:51","indexId":"70189093","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Structure and tectonics of the northwestern United States from EarthScope USArray magnetotelluric data","docAbstract":"

The magnetotelluric component of the EarthScope USArray program has covered over 35% of the continental United States. Resistivity tomography models derived from these data image lithospheric structure and provide constraints on the distribution of fluids and melt within the lithosphere. We present a three-dimensional resistivity model of the northwestern United States which provides new insight into the tectonic assembly of western North America from the Archean to present. Comparison with seismic tomography models reveals regions of correlated and anti-correlated resistivity and velocity that help identify thermal and compositional variations within the lithosphere. Recent (Neogene) tectonic features reflected in the model include the subducting Juan de Fuca–Gorda plate which can be traced beneath the forearc to more than 100 km depth, high lithospheric conductivity along the Snake River Plain, and pronounced lower-crustal and upper-mantle conductivity beneath the Basin and Range. The latter is abruptly terminated to the northwest by the Klamath–Blue Mountains Lineament, which we interpret as an important structure during and since the Mesozoic assembly of the region. This boundary is interpreted to separate hot extended lithosphere from colder, less extended lithosphere. The western edge of Proterozoic North America, as indicated by the Cretaceous initial 87Sr/86Sr = 0.706 contour, is clearly reflected in the resistivity model. We further image an Archean crustal block (“Pend Oreille block”) straddling the Washington/Idaho border, which we speculate separated from the Archean Medicine Hat block in the Proterozoic. Finally, in the modern Cascades forearc, the geometry and internal structure of the Eocene Siletz terrane is reflected in the resistivity model. The apparent eastern edge of the Siletz terrane under the Cascades arc suggests that pre-Tertiary rocks fill the Washington and Oregon back-arc.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.07.035","usgsCitation":"Bedrosian, P.A., and Feucht, D.W., 2014, Structure and tectonics of the northwestern United States from EarthScope USArray magnetotelluric data: Earth and Planetary Science Letters, v. 402, p. 275-289, https://doi.org/10.1016/j.epsl.2013.07.035.","productDescription":"15 p.","startPage":"275","endPage":"289","ipdsId":"IP-049294","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.3759765625,\n 35.639441068973944\n ],\n [\n -105,\n 35.639441068973944\n ],\n [\n -105,\n 49.009050809382046\n ],\n [\n -125.3759765625,\n 49.009050809382046\n ],\n [\n -125.3759765625,\n 35.639441068973944\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"402","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c0e4b0d1f9f0506798","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feucht, Daniel W. dfeucht@usgs.gov","contributorId":5022,"corporation":false,"usgs":true,"family":"Feucht","given":"Daniel","email":"dfeucht@usgs.gov","middleInitial":"W.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702836,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187373,"text":"70187373 - 2014 - Comparison of radio-telemetric home range analysis and acoustic detection for Little Brown Bat habitat evaluation","interactions":[],"lastModifiedDate":"2017-05-01T11:25:53","indexId":"70187373","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of radio-telemetric home range analysis and acoustic detection for Little Brown Bat habitat evaluation","docAbstract":"

With dramatic declines of bat populations due to mortality caused by Pseudogymnoascus destructans (White-nose Syndrome), assessing habitat preferences of bats in the northeastern US is now critical to guide the development of regional conservation efforts. In the summer of 2012, we conducted fixed-station simultaneous telemetry to determine nocturnal spatial use and fixed-kernel home-range estimates of available habitat of a Myotis lucifugus (Le Conte) (Little Brown Bat) maternity colony in an artificial bat house. In summers of 2011 and 2012, we also deployed a 52-ha grid of 4 × 4 Anabat acoustic detectors over five 6–8-day sampling periods in various riparian and non-riparian environments in close proximity to the same bat house. The mean telemetry home range of 143 ha for bats (n = 7) completely overlapped the acoustic grid. Rankings of habitats from telemetry data for these 7 bats and 5 additional bats not included in home-range calculations but added for habitat-use measures (n = 13) revealed a higher proportional use of forested riparian habitats than other types at the landscape scale. Pair-wise comparisons of habitats indicated that bats were found significantly closer to forested riparian habitats and forests than to open water, developed areas, fields, shrublands, or wetland habitats at the landscape scale. Acoustic sampling showed that naïve occupancy was 0.8 and 0.6 and mean nightly detection probabilities were 0.23 and 0.08 at riparian and non-riparian sites, respectively. Our findings suggest that Little Brown Bats select forested riparian and forested habitats for foraging at the landscape scale but may be most easily detected acoustically at riparian sites when a simple occupancy determination for an area is required.

","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.021.0309","usgsCitation":"Coleman, L.S., Ford, W.M., Dobony, C.A., and Britzke, E.R., 2014, Comparison of radio-telemetric home range analysis and acoustic detection for Little Brown Bat habitat evaluation: Northeastern Naturalist, v. 21, no. 3, p. 431-445, https://doi.org/10.1656/045.021.0309.","productDescription":"15 p.","startPage":"431","endPage":"445","ipdsId":"IP-046135","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084930e4b0fc4e448ffd76","contributors":{"authors":[{"text":"Coleman, Laci S.","contributorId":171672,"corporation":false,"usgs":false,"family":"Coleman","given":"Laci","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobony, Christopher A.","contributorId":171455,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":693720,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191834,"text":"70191834 - 2014 - Organic petrology of the Aptian-age section in the downdip Mississippi Interior Salt Basin, Mississippi, USA: Observations and preliminary implications for thermal maturation history","interactions":[],"lastModifiedDate":"2017-10-19T16:26:20","indexId":"70191834","displayToPublicDate":"2014-09-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Organic petrology of the Aptian-age section in the downdip Mississippi Interior Salt Basin, Mississippi, USA: Observations and preliminary implications for thermal maturation history","docAbstract":"

This study identifies a thermal maturity anomaly within the downdip Mississippi Interior Salt Basin (MISB) of southern Mississippi, USA, through examination of bitumen reflectance data from Aptian-age strata (Sligo Formation, Pine Island Shale, James Limestone, and Rodessa Formation). U.S. Geological Survey (USGS) reconnaissance investigations conducted in 2011–2012 examined Aptian-age thermal maturity trends across the onshore northern Gulf of Mexico region and indicated that the section in the downdip MISB is approaching the wet gas/condensate window (Ro~1.2%). A focused study in 2012–2013 used 6 whole core, one sidewall core, and 49 high-graded cutting samples (depth range of 13,000–16,500 ft [3962.4–5029.2 m] below surface) collected from 15 downdip MISB wells for mineralogy, fluid inclusion, organic geochemistry, and organic petrographic analysis. Based on native solid bitumen reflectance (Ro generally > 0.8%; interpreted to be post-oil indigenous bitumens matured in situ), Ro values increase regionally across the MISB from the southeast to the northwest. Thermal maturity in the eastern half of the basin (Ro range 1.0 to 1.25%) appears to be related to present-day burial depth and shows a gradual increase with respect to depth. To the west, thermal maturity continues to increase even as the Aptian section shallows structurally on the Adams County High (Ro range 1.4 to > 1.8%). After evaluating the possible thermal agents responsible for increasing maturity at shallower depths (i.e., igneous activity, proximity to salt, variations in regional heat flux, and uplift), we tentatively propose that either greater paleoheat flow or deeper burial coupled with uplift in the western part of the MISB could be responsible for the thermal maturity anomaly. Further research and additional data are needed to determine the cause(s) of the thermal anomaly.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2014.07.001","usgsCitation":"Valentine, B.J., Hackley, P.C., Enomoto, C.B., Bove, A.M., Dulong, F.T., Lohr, C., and Scott, K.R., 2014, Organic petrology of the Aptian-age section in the downdip Mississippi Interior Salt Basin, Mississippi, USA: Observations and preliminary implications for thermal maturation history: International Journal of Coal Geology, v. 131, p. 378-391, https://doi.org/10.1016/j.coal.2014.07.001.","productDescription":"14 p.","startPage":"378","endPage":"391","ipdsId":"IP-054351","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":347013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mississippi Interior Salt Basin (MISB)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.032470703125,\n 32.36140331527543\n ],\n [\n -92.1533203125,\n 31.653381399664\n ],\n [\n -89.659423828125,\n 31.23159167205059\n ],\n [\n -87.857666015625,\n 31.50362930577303\n ],\n [\n -87.95654296875,\n 31.89621446335144\n ],\n [\n -88.41796875,\n 32.13840869677249\n ],\n [\n -90.06591796875,\n 32.58384932565662\n ],\n [\n -90.85693359375,\n 32.8149783969858\n ],\n [\n -92.032470703125,\n 32.36140331527543\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b998e4b05fe04cd65ce1","contributors":{"authors":[{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":713286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":713287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":713288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bove, Alana M. above@usgs.gov","contributorId":4987,"corporation":false,"usgs":true,"family":"Bove","given":"Alana","email":"above@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":713289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dulong, Frank T. 0000-0001-7388-647X fdulong@usgs.gov","orcid":"https://orcid.org/0000-0001-7388-647X","contributorId":650,"corporation":false,"usgs":true,"family":"Dulong","given":"Frank","email":"fdulong@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":713290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":713292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scott, Krystina R.","contributorId":197356,"corporation":false,"usgs":true,"family":"Scott","given":"Krystina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713291,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70118654,"text":"ds875 - 2014 - Geochemical and modal data for igneous rocks associated with epithermal mineral deposits","interactions":[],"lastModifiedDate":"2014-08-29T11:52:06","indexId":"ds875","displayToPublicDate":"2014-08-29T11:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"875","title":"Geochemical and modal data for igneous rocks associated with epithermal mineral deposits","docAbstract":"

The purposes of this report are to (1) present available geochemical and modal data for igneous rocks associated with epithermal mineral deposits and (2) to make those data widely and readily available for subsequent, more in-depth consideration and interpretation. Epithermal precious and base-metal deposits are commonly associated with subduction-related calc-alkaline to alkaline arc magmatism as well as back-arc continental rift magmatism. These deposits form in association with compositionally diverse extrusive and intrusive igneous rocks. Temperature and depth regimes prevailing during deposit formation are highly variable. The deposits form from hydrothermal fluids that range from acidic to near-neutral pH, and they occur in a variety of structural settings. The disparate temperature, pressure, fluid chemistry, and structural controls have resulted in deposits with wide ranging characteristics. Economic geologists have employed these characteristics to develop classification schemes for epithermal deposits and to constrain the important genetic processes responsible for their formation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds875","usgsCitation":"du Bray, E.A., 2014, Geochemical and modal data for igneous rocks associated with epithermal mineral deposits: U.S. Geological Survey Data Series 875, Report: iii, 13 p.; Appendix 1, https://doi.org/10.3133/ds875.","productDescription":"Report: iii, 13 p.; Appendix 1","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-056326","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":293197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds875.jpg"},{"id":293196,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/875/downloads/EpiMdlDB.xlsx"},{"id":293195,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/875/pdf/ds875.pdf"},{"id":293194,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/875/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540185b0e4b0ae951d95c972","contributors":{"authors":[{"text":"du Bray, Edward A. 0000-0002-4383-8394 edubray@usgs.gov","orcid":"https://orcid.org/0000-0002-4383-8394","contributorId":755,"corporation":false,"usgs":true,"family":"du Bray","given":"Edward","email":"edubray@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":497166,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70118103,"text":"sir20145142 - 2014 - Hydroclimate of the Spring Mountains and Sheep Range, Clark County, Nevada","interactions":[],"lastModifiedDate":"2014-08-29T10:22:58","indexId":"sir20145142","displayToPublicDate":"2014-08-29T10:15:00","publicationYear":"2014","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":"2014-5142","title":"Hydroclimate of the Spring Mountains and Sheep Range, Clark County, Nevada","docAbstract":"Precipitation, potential evapotranspiration, and actual evapotranspiration often are used to characterize the hydroclimate of a region. Quantification of these parameters in mountainous terrains is difficult because limited access often hampers the collection of representative ground data. To fulfill a need to characterize ecological zones in the Spring Mountains and Sheep Range of southern Nevada, spatially and temporally explicit estimates of these hydroclimatic parameters are determined from remote-sensing and model-based methodologies. Parameter-elevation Regressions on Independent Slopes Model (PRISM) precipitation estimates for this area ranges from about 100 millimeters (mm) in the low elevations of the study area (700 meters [m]) to more than 700 mm in the high elevations of the Spring Mountains (> 2,800 m). The PRISM model underestimates precipitation by 7–15 percent based on a comparison with four high‑elevation precipitation gages having more than 20 years of record. Precipitation at 3,000-m elevation is 50 percent greater in the Spring Mountains than in the Sheep Range. The lesser amount of precipitation in the Sheep Range is attributed to partial moisture depletion by the Spring Mountains of eastward-moving, cool-season (October–April) storms. Cool-season storms account for 66–76 percent of annual precipitation. Potential evapotranspiration estimates by the Basin Characterization Model range from about 700 mm in the high elevations of the Spring Mountains to 1,600 mm in the low elevations of the study area. The model realistically simulates lower potential evapotranspiration on northeast-to-northwest facing slopes compared to adjacent southeast-to-southwest facing slopes. Actual evapotranspiration, estimated using a Moderate Resolution Imaging Spectroradiometer based water-balance model, ranges from about 100 to 600 mm. The magnitude and spatial variation of simulated, actual evapotranspiration was validated by comparison to PRISM precipitation. Estimated groundwater recharge, computed as the residual of precipitation depleted by actual evapotranspiration, is within the range of previous estimates. A climatic water deficit dataset and aridity-index-based climate zones are derived from precipitation and evapotranspiration datasets. Climate zones range from arid in the lower elevations of the study area to humid in small pockets on north- to northeast-facing slopes in the high elevations of the Spring Mountains. Correlative analyses between hydroclimatic variables and mean ecosystem elevations indicate that the climatic water deficit is the best predictor of ecosystem distribution (R2 = 0.92). Computed water balances indicate that substantially more recharge is generated in the Spring Mountains than in the Sheep Range. A geospatial database containing compiled and developed hydroclimatic data and other pertinent information accompanies this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145142","collaboration":"Prepared in cooperation with the U.S. Forest Service, Bureau of Land Management, and U.S. Fish and Wildlife Service","usgsCitation":"Moreo, M.T., Senay, G.B., Flint, A.L., Damar, N.A., Laczniak, R.J., and Hurja, J., 2014, Hydroclimate of the Spring Mountains and Sheep Range, Clark County, Nevada: U.S. Geological Survey Scientific Investigations Report 2014-5142, Report: 38 p.; 2 Appendices, https://doi.org/10.3133/sir20145142.","productDescription":"Report: 38 p.; 2 Appendices","numberOfPages":"48","ipdsId":"IP-033212","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":293178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145142.jpg"},{"id":293176,"type":{"id":3,"text":"Appendix"},"url":"https://water.usgs.gov/lookup/getspatial?sir2014-5142_App1"},{"id":293177,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5142/downloads/sir2014-5142_appendixB.xlsx"},{"id":293175,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5142/pdf/sir2014-5142.pdf"},{"id":293173,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5142/"}],"country":"United States","state":"Nevada","county":"Clark County","otherGeospatial":"Spring Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.81,35.97 ], [ -115.81,36.96 ], [ -114.88,36.96 ], [ -114.88,35.97 ], [ -115.81,35.97 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540185b2e4b0ae951d95c981","contributors":{"authors":[{"text":"Moreo, Michael T. 0000-0002-9122-6958 mtmoreo@usgs.gov","orcid":"https://orcid.org/0000-0002-9122-6958","contributorId":2363,"corporation":false,"usgs":true,"family":"Moreo","given":"Michael","email":"mtmoreo@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":496312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":496310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Damar, Nancy A. 0000-0002-7520-7386 nadamar@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-7386","contributorId":4154,"corporation":false,"usgs":true,"family":"Damar","given":"Nancy","email":"nadamar@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hurja, James","contributorId":91795,"corporation":false,"usgs":true,"family":"Hurja","given":"James","email":"","affiliations":[],"preferred":false,"id":496315,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}