{"pageNumber":"764","pageRowStart":"19075","pageSize":"25","recordCount":184617,"records":[{"id":70201215,"text":"gip187 - 2019 - Cooperative Fish and Wildlife Research Units program—2018 year in review postcard","interactions":[],"lastModifiedDate":"2019-03-04T16:02:44","indexId":"gip187","displayToPublicDate":"2019-03-01T17:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"187","displayTitle":"Cooperative Fish and Wildlife Research Units Program—2018 Year in Review postcard","title":"Cooperative Fish and Wildlife Research Units program—2018 year in review postcard","docAbstract":"<p>This postcard provides details about the \"Cooperative Fish and Wildlife Research Units Program—2018 Year in Review,\" U.S. Geological Survey Circular 1452, now available at <a href=\"https://doi.org/10.3133/cir1452\" data-mce-href=\"https://doi.org/10.3133/cir1452\">https://doi.org/10.3133/cir1452</a>. In this report, you will find details about the Cooperative Fish and Wildlife Research Units (CRU) program relating to its background, fish and wildlife science, students, staffing, vacancies, research funding, outreach and training, science themes, accolades, and professional services. You will see snapshots of CRU projects with information on how results have been or are being applied by cooperators. This is the essence of what we do: science that matters.</p><p>Throughout the year, keep up with CRU research projects at <a href=\"http://www.coopunits.org\" data-mce-href=\"http://www.coopunits.org\">http://www.coopunits.org</a><a>.</a></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip187","issn":"2332-3531","usgsCitation":"Organ, J.F., Thompson, J.D., Childs, D.E., and Dennerline, D.E., 2019, Cooperative Fish and Wildlife Research Units program—2018 year in review postcard: U.S. Geological Survey General Information Product 187, 2 p., https://doi.org/10.3133/gip187.","productDescription":"Postcard: 5.8 x 4.1 inches","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-098976","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":361524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0187/coverthb.jpg"},{"id":361525,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0187/gip187.pdf","text":"Report ","size":"121 KB","description":"GIP 187"},{"id":361526,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/cir1452","text":"Circular 1452","linkHelpText":"-  Cooperative Fish and Wildlife Research Units Program—2018 Year in Review"}],"contact":"<p><a href=\"https://www.coopunits.org/Headquarters/\" data-mce-href=\"https://www.coopunits.org/Headquarters/\">Cooperative Fish and Wildlife Research Units Program</a><br>U.S. Geological Survey<br>Mail Stop 303<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-03-01","noUsgsAuthors":false,"publicationDate":"2019-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":758005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, John D. 0000-0003-4113-2440 jthompson@usgs.gov","orcid":"https://orcid.org/0000-0003-4113-2440","contributorId":189375,"corporation":false,"usgs":true,"family":"Thompson","given":"John","email":"jthompson@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":758006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childs, Dawn E. 0000-0001-8544-9517 dchilds@usgs.gov","orcid":"https://orcid.org/0000-0001-8544-9517","contributorId":211155,"corporation":false,"usgs":true,"family":"Childs","given":"Dawn","email":"dchilds@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":753296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dennerline, Donald E. 0000-0001-8345-315X ddennerline@usgs.gov","orcid":"https://orcid.org/0000-0001-8345-315X","contributorId":192857,"corporation":false,"usgs":true,"family":"Dennerline","given":"Donald","email":"ddennerline@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":758007,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202472,"text":"70202472 - 2019 - Geologic map of the Hartsel Quadrangle, Park County, Colorado","interactions":[],"lastModifiedDate":"2019-03-04T16:34:20","indexId":"70202472","displayToPublicDate":"2019-03-01T16:34:17","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":128,"text":"Open-File Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"17-04","title":"Geologic map of the Hartsel Quadrangle, Park County, Colorado","docAbstract":"<p>The Hartsel quadrangle sits nearly in the center of the complex South Park Laramide structural basin. Generally, the basin can be described as an asymmetrical down-faulted feature, dipping to the east. It is bounded by two northwest-trending uplifts: the Sawatch uplift to the west and the Front Range uplift to the east. The west-verging Elkhorn thrust, which places Proterozoic intrusive and metamorphic rocks within the Front Range uplift over Phanerozoic sediments in the basin, passes just east of the quadrangle. Seismic data and deep oil and gas well logs indicate that a series of imbricate thrust faults extend west, and in front of, the Elk horn thrust fault. The Hartsel uplift is a westward-jutting structural salient of the Front Range uplift that brings Proterozoic rocks farther into the basin south of the town of Hartsel. The quadrangle also spans the late Paleozoic boundary between the central Colorado trough (DeVoto, 1972) to the west and Frontrangia (Mallory, 1958) to the east. The Neogene Rio Grande rift system lies to the west of South Park Basin in the upper Arkansas River valley. Examples of Neogene extension can be found throughout South Park, as described by Stark and others (1949), De Voto (1971), and Ruleman and others (2011). In addition, there is evidence of ongoing local deformation related to dissolution and possible collapse of Paleozoic evaporite deposits across much of the west side of the basin (Kirkham and others, 2012).</p>","language":"English","publisher":"Colorado Geological Survey","usgsCitation":"Barkmann, P.E., Houck, K.J., Dechesne, M., Lovekin, J.R., and Johnson, E.P., 2019, Geologic map of the Hartsel Quadrangle, Park County, Colorado: Open-File Report 17-04.","ipdsId":"IP-086086","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":361730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361707,"type":{"id":15,"text":"Index Page"},"url":"https://store.coloradogeologicalsurvey.org/product/geologic-map-hartsel-quadrangle-park-colorado/"}],"country":"United States","state":"Colorado","county":"Park County","otherGeospatial":"Hartsel Quadrangle","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barkmann, Peter E.","contributorId":213937,"corporation":false,"usgs":false,"family":"Barkmann","given":"Peter","email":"","middleInitial":"E.","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":758726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houck, Karen J.","contributorId":25623,"corporation":false,"usgs":true,"family":"Houck","given":"Karen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":758727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dechesne, Marieke 0000-0002-4468-7495","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":213936,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":758725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lovekin, Jonathan R.","contributorId":213939,"corporation":false,"usgs":false,"family":"Lovekin","given":"Jonathan","email":"","middleInitial":"R.","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":758728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Erinn P.","contributorId":213940,"corporation":false,"usgs":false,"family":"Johnson","given":"Erinn","email":"","middleInitial":"P.","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":758729,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204211,"text":"70204211 - 2019 - Isotopic ratios of Saturn's rings and satellites: Implications for the origin of water and Phoebe","interactions":[],"lastModifiedDate":"2019-07-12T15:37:50","indexId":"70204211","displayToPublicDate":"2019-03-01T15:37:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic ratios of Saturn's rings and satellites: Implications for the origin of water and Phoebe","docAbstract":"Isotopic ratios have long been used to learn about physical processes acting over a wide range of geological environments, and in constraining the origin and/or evolution of planetary bodies. We report the spectroscopic detection of deuterium in Saturn's rings and satellites, and use these measurements to determine the (D/H) ratios in their near-surface regions. Saturn's moons, Phoebe and Iapetus, show a strong signature of CO2 and the 13C component of this molecule is detected and quantified. Large averages of spectra obtained by the Cassini Visual and Infrared Mapping Spectrometer, VIMS, were computed for the rings and icy satellites. The observed intensities of the infrared absorptions in H2O and CO2 and their isotopes were calibrated using laboratory data and radiative transfer models to derive the D/H and 13C/12C ratios. We find that the D/H in Saturn's rings and satellites is close to the Vienna Standard Mean Ocean Water (VSMOW) and bulk Earth (4% lower than VSMOW) value except for Phoebe, which is 8.3 times the VSMOW value. This is the highest value for any Solar-System surface yet measured, and suggests that Phoebe formed from material with a different D/H ratio than the other satellites in the Saturn system. Phoebe’s 13C/12C ratio is also unusual: 4.7 times greater than terrestrial, and greater than values measured for the interstellar medium and the galactic center. The high 13C abundance in the CO2 suggests that Phoebe was never warm enough for the large D/H ratio in its surface to have originated by evaporative fractionation of its waterice (e.g., from heating in the inner Solar System before its eventual capture by Saturn). We also report the detection of a probable O-D stretch absorption due to OD in minerals on Phoebe at 3.62 μm. This absorption is not detected on other Saturnian satellites. Stronger signatures of bound water absorptions are found in the dark material of Iapetus and we report a new detection of bound water at 1.9 μm. The position of this absorption matches that seen in spectra of hydrated iron oxides but does not match absorptions seen in spectra of tholins. Despite the strong bound water signature in the Iapetus dark material, no 3.62-μm OD absorption is seen in the spectra, further indicating the high deuterium level on Phoebe is unusual. As such, it is likely that Phoebe originated in a colder part of the outer Solar System, relative to the prevailing temperatures at Saturn’s distance from the Sun.","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2018.11.029","usgsCitation":"Clark, R.N., Brown, R.H., Cruikshank, D., and Swayze, G.A., 2019, Isotopic ratios of Saturn's rings and satellites: Implications for the origin of water and Phoebe: Icarus, v. 40, no. 3, p. 431-470, https://doi.org/10.1016/j.icarus.2018.11.029.","productDescription":"40 p.","startPage":"431","endPage":"470","ipdsId":"IP-093622","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":365528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Roger N. 0000-0002-7021-1220","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":189154,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"","middleInitial":"N.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":766018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Robert H.","contributorId":147246,"corporation":false,"usgs":false,"family":"Brown","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":766019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruikshank, D.P.","contributorId":216896,"corporation":false,"usgs":false,"family":"Cruikshank","given":"D.P.","email":"","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":766020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":766017,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203078,"text":"70203078 - 2019 - Topographic mapping evolution: From field and photogrammetric data collection to GIS production and Linked Open Data","interactions":[],"lastModifiedDate":"2019-04-18T15:37:18","indexId":"70203078","displayToPublicDate":"2019-03-01T15:34:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1187,"text":"Cartographic Journal","active":true,"publicationSubtype":{"id":10}},"title":"Topographic mapping evolution: From field and photogrammetric data collection to GIS production and Linked Open Data","docAbstract":"Whither the topographic map? Topographic mapping historically has been approached as a map factory operation through the period 1879-1990. During this time, data were field and photogrammetrically collected; cartographically verified and annotated creating a compilation manuscript; further edited, generalized, symbolized, and produced as a graphic output product using lithography, or more recently, through digital means. Adoption of geographic information systems (GIS) as the primary production process for topographic maps, including digital database preparation (1975-2000) and product generation operations (2001-present), has led to faster and more standardized production in a semi-automated process. However, the topographic product has remained the same static graphic.\nGlobal Navigation Systems (GNS) began in the post 1990s, led to publicly and commercially produced location-based information traditionally provided by surveyors for topographic maps.  Advances in GIS technology, computer processing, memory, and storage devices, along with GNS spawned new location systems and led to ubiquitous, consumer-based cartography through commercial entities on the World Wide Web (Web). This global availability of cartography has provided consumer access and the ability to produce topographic types of map products previously supplied only by traditional National Mapping Agencies (NMAs). Information provided by location-based services made available through connected databases has led to completely new business models based on cartography and geospatial data.\nA new form of topographic map as an interactive, linked knowledge base is now being created. The appearance of the Semantic Web and Linked Open Data allows the map to become an interactive knowledge base. In this current theory and implementation of topographic mapping, the map is a graphics-based interface to a triplestore knowledge base which includes a topographic feature ontology, semantics and relations, and instance data with geometry and topology available. The topographic map graphic becomes an interactive link to the knowledge base and additional linked data through the Linked Open Data cloud.","language":"English","publisher":"British Cartographic Society","doi":"10.1080/00087041.2018.1539555","usgsCitation":"Usery, E., Varanka, D.E., and Davis, L., 2019, Topographic mapping evolution: From field and photogrammetric data collection to GIS production and Linked Open Data: Cartographic Journal, v. 55, no. 4, p. 378-390, https://doi.org/10.1080/00087041.2018.1539555.","productDescription":"13 p.","startPage":"378","endPage":"390","ipdsId":"IP-099204","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":363049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Usery, E. Lynn 0000-0002-2766-2173","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":204684,"corporation":false,"usgs":true,"family":"Usery","given":"E. Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":761077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":761078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Larry 0000-0003-2479-7432","orcid":"https://orcid.org/0000-0003-2479-7432","contributorId":206695,"corporation":false,"usgs":true,"family":"Davis","given":"Larry","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":761079,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202806,"text":"70202806 - 2019 - Recent trends in nutrient and sediment loading to coastal areas of the conterminous U.S.: Insights and global context","interactions":[],"lastModifiedDate":"2019-03-26T14:28:56","indexId":"70202806","displayToPublicDate":"2019-03-01T13:53:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Recent trends in nutrient and sediment loading to coastal areas of the conterminous U.S.: Insights and global context","docAbstract":"<p>Coastal areas in the U.S. and worldwide have experienced massive population and land use changes contributing to significant degradation of coastal ecosystems. Excess nutrient pollution causes coastal ecosystem degradation, and both regulatory and management efforts have targeted reducing nutrient and sediment loading to coastal rivers. Decadal trends in flow-normalized nutrient and sediment loads were determined for 95 monitoring locations on 88 U.S. coastal rivers, including tributaries of the Great Lakes, between 2002 and 2012 for nitrogen (N), phosphorus (P), and sediment. N and P loading from urban watersheds generally decreased between 2002 and 2012. In contrast, N and P trends in agricultural watersheds were variable indicating uneven progress in decreasing nutrient loading. Coherent decreases in N loading from agricultural watersheds occurred in the Lake Erie basin, but limited benefit is expected from these changes because P is the primary driver of degradation in the lake. Nutrient loading from undeveloped watersheds was low, but increased between 2002 and 2012, possibly indicating degradation of coastal watersheds with a lower intensity of anthropogenic influence. Regional differences in trends were evident, with stable nutrient loads from the Mississippi River to the Gulf of Mexico, but commonly decreasing N loads and increasing P loads in Chesapeake Bay. Compared to global rivers, coastal rivers of the conterminous U.S have somewhat lower TN yields and slightly higher TP yields, but similarities exist among land use, nutrient sources, and changes in nutrient loads. Despite widespread decreases in N loading in coastal watersheds, recent N:P ratios remained elevated compared to historic values in many areas. Additional progress in reducing N and P loading to U.S. coastal waters, particularly outside of urban areas, would benefit coastal ecosystems.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.10.437","usgsCitation":"Oelsner, G.P., and Stets, E.G., 2019, Recent trends in nutrient and sediment loading to coastal areas of the conterminous U.S.: Insights and global context: Science of the Total Environment, v. 654, p. 1225-1240, https://doi.org/10.1016/j.scitotenv.2018.10.437.","productDescription":"16 p. ","startPage":"1225","endPage":"1240","ipdsId":"IP-096879","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.10.437","text":"Publisher Index Page"},{"id":362341,"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      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                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            -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n      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          ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                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29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"654","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oelsner, Gretchen P. 0000-0001-9329-7357 goelsner@usgs.gov","orcid":"https://orcid.org/0000-0001-9329-7357","contributorId":4440,"corporation":false,"usgs":true,"family":"Oelsner","given":"Gretchen","email":"goelsner@usgs.gov","middleInitial":"P.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":760099,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202715,"text":"70202715 - 2019 - Landscape connectivity planning for adaptation to future climate and land-use change","interactions":[],"lastModifiedDate":"2019-03-21T16:33:11","indexId":"70202715","displayToPublicDate":"2019-03-01T12:56:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5476,"text":"Current Landscape Ecology Reports","active":true,"publicationSubtype":{"id":10}},"title":"Landscape connectivity planning for adaptation to future climate and land-use change","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Purpose of Review</strong></p><p id=\"Par1\" class=\"Para\">We examined recent literature on promoting habitat connectivity in the context of climate change (CC) and land-use change (LUC). These two global change forcings have wide-reaching ecological effects that are projected to worsen in the future. Improving connectivity is a common adaptation strategy, but CC and LUC can also degrade planned connections, potentially reducing their effectiveness. We synthesize advances in connectivity design approaches, identify challenges confronted by researchers and practitioners, and offer suggestions for future research.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Recent Findings</strong></p><p id=\"Par2\" class=\"Para\">Recent studies incorporated future CC into connectivity design more often than LUC and rarely considered the two drivers jointly. When considering CC, most studies have focused on relatively broad spatial and temporal extents and have included either species-based targets or coarse-filter targets like geodiversity and climate gradients. High levels of uncertainty about future LUC and lack of consistent, readily available model simulations are likely hindering its inclusion in connectivity modeling. This high degree of uncertainty extends to efforts to jointly consider future CC and LUC.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Summary</strong></p><p id=\"Par3\" class=\"Para\">We argue that successful promotion of connectivity as a means to adapt to CC and LUC will depend on (1) the velocity of CC, (2) the velocity of LUC, and (3) the degree of existing landscape fragmentation. We present a new conceptual framework to assist in identifying connectivity networks given these three factors. Given the high uncertainty associated with future CC and LUC, incorporating insights from decision science into connectivity planning will facilitate the development of more robust adaptation strategies.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s40823-019-0035-2","usgsCitation":"Costanza, J.K., and Terando, A.J., 2019, Landscape connectivity planning for adaptation to future climate and land-use change: Current Landscape Ecology Reports, v. 4, no. 1, p. 1-13, https://doi.org/10.1007/s40823-019-0035-2.","productDescription":"13 p. ","startPage":"1","endPage":"13","ipdsId":"IP-088295","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":362244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Costanza, Jennifer K.","contributorId":176907,"corporation":false,"usgs":false,"family":"Costanza","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":759627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":759626,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202683,"text":"70202683 - 2019 - Adjudicating groundwater: A judge’s guide to understanding groundwater and modeling","interactions":[],"lastModifiedDate":"2019-03-19T13:10:49","indexId":"70202683","displayToPublicDate":"2019-03-01T12:54:59","publicationYear":"2019","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Adjudicating groundwater: A judge’s guide to understanding groundwater and modeling","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><strong></strong></span><i>Dividing the Waters</i><span>&nbsp;offers this groundwater science bench book that cannot be matched by any other scientific or judicial publication.&nbsp;&nbsp;</span><i>Adjudicating Groundwater</i><span>&nbsp;combines the expertise and experience of academic scientists (UC Davis/Stanford), federal scientists (U.S. Geological Survey), and judicial officers to create a resource that can fulfill the needs of judges tackling the most difficult groundwater conflicts.&nbsp; This bench book explains both the fundamentals of groundwater science (hydrogeology) and groundwater modeling. &nbsp;The bench book received peer review from scientists and judges, with oversight by the U.S. Geological Survey, making this book among the most reliable resources for judges with water cases.</span></p>","language":"English","publisher":"The National Judicial College","usgsCitation":"Harter, T., Moran, T., and Wildman, E., 2019, Adjudicating groundwater: A judge’s guide to understanding groundwater and modeling.","ipdsId":"IP-097084","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362145,"type":{"id":15,"text":"Index Page"},"url":"https://www.judges.org/dtw/adjudicating-groundwater/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Brandt, Alf","contributorId":214284,"corporation":false,"usgs":false,"family":"Brandt","given":"Alf","email":"","affiliations":[],"preferred":false,"id":759544,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759545,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759546,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Harter, Thomas","contributorId":178245,"corporation":false,"usgs":false,"family":"Harter","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":759547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Tara","contributorId":214282,"corporation":false,"usgs":false,"family":"Moran","given":"Tara","email":"","affiliations":[],"preferred":false,"id":759548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wildman, Eric","contributorId":214283,"corporation":false,"usgs":false,"family":"Wildman","given":"Eric","email":"","affiliations":[],"preferred":false,"id":759549,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204452,"text":"70204452 - 2019 - When the earth doesn’t stop shaking: How experiences over time influenced information needs, communication, and interpretation of aftershock information during the Canterbury Earthquake Sequence, New Zealand","interactions":[],"lastModifiedDate":"2019-07-25T12:18:28","indexId":"70204452","displayToPublicDate":"2019-03-01T12:17:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"When the earth doesn’t stop shaking: How experiences over time influenced information needs, communication, and interpretation of aftershock information during the Canterbury Earthquake Sequence, New Zealand","docAbstract":"The Canterbury Earthquake Sequence (CES) began with the Darfield earthquake on 4\nSeptember 2010. Continual large and small aftershocks since that time have meant\ncommunities have cycled through repeated periods of impact, response and recovery.\nScientific communication about aftershocks during such a prolonged sequence has faced\ndistinct challenges. We conducted research to better understand aftershock information needs\nfor agencies and the public, and how people interpreted and responded to such information.\nWe found that a wide range of information was needed from basic facts about aftershocks\nthrough to more technical information, and in different formats (e.g. maps, tables, graphs,\ntext, analogies). Information needs also evolved throughout the sequence, and differed\ndepending on people’s roles and experiences, and the phase of impact, response and recovery\ncommunities were in. Interpretation of aftershock information was influenced by a variety of\nfactors including how understandable and relevant the information was, whether people had\nprior knowledge or experience of aftershocks, whether the information was personalised or\ncontextualised, emotions and feelings, credibility and trust, and external influences. Given\nthat such a diversity of evolving information is required, it is imperative that geoscientists\nstrategize how to provide such information before a significant earthquake occurs.","language":"English","publisher":"Springer","doi":"10.1016/j.ijdrr.2018.12.009","usgsCitation":"Becker, J.S., Potter, S.H., McBride, S., Wein, A.M., and Paton, D., 2019, When the earth doesn’t stop shaking: How experiences over time influenced information needs, communication, and interpretation of aftershock information during the Canterbury Earthquake Sequence, New Zealand: Natural Hazards, v. 34, p. 397-411, https://doi.org/10.1016/j.ijdrr.2018.12.009.","productDescription":"15 p.","startPage":"397","endPage":"411","ipdsId":"IP-101271","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467854,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2018.12.009","text":"Publisher Index Page"},{"id":365942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[173.02037,-40.91905],[173.24723,-41.332],[173.95841,-40.9267],[174.24759,-41.34916],[174.24852,-41.77001],[173.87645,-42.23318],[173.22274,-42.97004],[172.71125,-43.37229],[173.08011,-43.85334],[172.30858,-43.86569],[171.45293,-44.24252],[171.18514,-44.8971],[170.6167,-45.90893],[169.83142,-46.35577],[169.33233,-46.64124],[168.41135,-46.61994],[167.76374,-46.2902],[166.67689,-46.21992],[166.50914,-45.8527],[167.04642,-45.11094],[168.30376,-44.12397],[168.94941,-43.93582],[169.66781,-43.55533],[170.52492,-43.03169],[171.12509,-42.51275],[171.56971,-41.76742],[171.94871,-41.51442],[172.09723,-40.9561],[172.79858,-40.49396],[173.02037,-40.91905]]],[[[174.61201,-36.1564],[175.33662,-37.2091],[175.3576,-36.52619],[175.80889,-36.79894],[175.95849,-37.55538],[176.7632,-37.88125],[177.43881,-37.96125],[178.01035,-37.57982],[178.51709,-37.69537],[178.27473,-38.58281],[177.97046,-39.16634],[177.20699,-39.14578],[176.93998,-39.44974],[177.03295,-39.87994],[176.88582,-40.06598],[176.50802,-40.60481],[176.01244,-41.28962],[175.23957,-41.68831],[175.0679,-41.42589],[174.65097,-41.28182],[175.22763,-40.45924],[174.90016,-39.90893],[173.82405,-39.50885],[173.85226,-39.1466],[174.5748,-38.79768],[174.74347,-38.02781],[174.69702,-37.38113],[174.29203,-36.71109],[174.319,-36.53482],[173.841,-36.12198],[173.05417,-35.23713],[172.63601,-34.52911],[173.00704,-34.45066],[173.5513,-35.00618],[174.32939,-35.2655],[174.61201,-36.1564]]]]},\"properties\":{\"name\":\"New Zealand\"}}]}","volume":"34","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Becker, Julia S. 0000-0002-2456-1174","orcid":"https://orcid.org/0000-0002-2456-1174","contributorId":217518,"corporation":false,"usgs":false,"family":"Becker","given":"Julia","email":"","middleInitial":"S.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":766991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Potter, Sally H. 0000-0003-3785-474X","orcid":"https://orcid.org/0000-0003-3785-474X","contributorId":217519,"corporation":false,"usgs":false,"family":"Potter","given":"Sally","email":"","middleInitial":"H.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":766992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":766990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wein, Anne M. 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":192951,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":766993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paton, Douglas 0000-0002-8673-2178","orcid":"https://orcid.org/0000-0002-8673-2178","contributorId":217520,"corporation":false,"usgs":false,"family":"Paton","given":"Douglas","email":"","affiliations":[{"id":12877,"text":"Charles Darwin University","active":true,"usgs":false}],"preferred":false,"id":766994,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204785,"text":"70204785 - 2019 - Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems","interactions":[],"lastModifiedDate":"2019-08-16T11:44:10","indexId":"70204785","displayToPublicDate":"2019-03-01T11:43:38","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems","docAbstract":"We applied magnetotellurics (MT), diagnostic structural affiliations, soil gas flux, and fluid geochemistry to assist in identifying hidden, high-enthalpy geothermal systems in extensional regimes of the U.S. Great Basin. We are specifically looking for high-angle, low-resistivity zones and dilatant geologic structures that can carry fluids from magmatic or high-grade metamorphic conditions in the deep crust upward to exploitable depths, and to verify the nature of the deep sources through soil gas and fluid compositions. The project was motivated by prior MT transect coverage of western and central Nevada centered upon the Dixie Valley producing geothermal system where such favorable indicators were first recognized. The high-angle MT structures are taken to be fluidized fault zones connecting deep magmatic/metamorphic activity with the geothermal system, but the concept required verification by testing at other systems.\nThe project was set up with a two-phased organization. Phase I was carried out at the McGinness Hills system, central Nevada, where Ormat Inc flagship power facility is located and a considerable amount of pre-existing data were available. Resistivity models along MT transects also showed a strong low-resistivity upwelling originating from interpreted deep crustal magmatic underplating. Controlling structures on production as indicated by Ormat data and our new mapping were favorable to dilatancy, comprising an accommodation zone between major normal faults of opposing dip. A 3D MT survey and inversion confirmed the existence of the steep low-resistivity zone dipping ESE toward the deep crust and placed N-S bounds upon the feature. In cooperation with Ormat personnel, we sampled well fluids from production intervals for He isotope composition. Elevated 3He was verified through mass spectrometry analysis confirming a magmatic connection with the producing system. High CO2 soil gas flux including possibly metamorphic 13C and 14C component was measured over the area of dilatant structures. Hence, the triad of indicators posed above was confirmed in Phase I.\nSubsequently, Phase II of the project proceeded in the greenfield Kumiva-Blackrock Desert district of northwestern Nevada to see if a new system could be identified. Transect MT data also showed a low-resistivity upwelling originating from interpreted deep crustal magmatic underplating. An MT survey of 131 sites was imaged through 3D inversion using an in-house, DOE-supported finite element algorithm. Low resistivity upwellings that warranted follow up study occur under the flanks of the Seven Troughs Range, under Kumiva Playa immediately west of the Blue Wing Mountains, and under northern Granite Springs Valley. Structural assessment of the project area by Co-I J. Faulds at UNR provided numerous favorable Quaternary fault settings, which were correlated to the MT upwelling structures. Soil CO2 gas flux anomalies generally were not large but did show correlation with resistivity upwelling structure and favorable geological structures. Isotope analyses showed presence of possible inorganic/metamorphic 13C but 14C concentrations did not exceed background values.\nWe view the initial concept of a confluence of low-resistivity upwelling, favorably dilatant 3D geological structure, and elevated soil gas flux including 13C component to be supported by the further evidence of this project although the indicators in the Phase II study were more diffuse. Mass balance calculations based upon 3He R/Ra values indicates that the proportion of magmatic fluids in a producing system is fairly low, 10-15% by volume. We suggest that the diagnostic MT geophysical structures denote zones of concentrated extensional deformation that increases permeability, potentially enabling a circulating upper crustal geothermal system, while at the same time connecting telltale deep component signatures to the upper crust. The northern Granite Springs Valley structure is receiving followup stu","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 44nd Workshop on Geothermal Reservoir Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Stanford Geothermal Conference","conferenceDate":"Feb 11-13, 2019","language":"English","publisher":"Stanford Universtiy","usgsCitation":"Philip E. Wannamaker, Faulds, J.E., B. Mack Kennedy, Maris, V., Siler, D.L., Craig Ulrich, and Moore, J., 2019, Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems, <i>in</i> Proceedings, 44nd Workshop on Geothermal Reservoir Engineering, v. 44, Feb 11-13, 2019, SGP-TR-214, 19 p.","productDescription":"SGP-TR-214, 19 p.","ipdsId":"IP-104742","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":366604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366576,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=29105"}],"country":"United States","state":"Nevada","otherGeospatial":"McGinness Hills","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.39715576171875,\n              39.31942523123949\n            ],\n            [\n              -116.224365234375,\n              39.31942523123949\n            ],\n            [\n              -116.224365234375,\n              39.87601941962116\n            ],\n            [\n              -117.39715576171875,\n              39.87601941962116\n            ],\n            [\n              -117.39715576171875,\n              39.31942523123949\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Philip E. Wannamaker","contributorId":218146,"corporation":false,"usgs":false,"family":"Philip E. Wannamaker","affiliations":[{"id":39762,"text":"EGI/University of Utah","active":true,"usgs":false}],"preferred":false,"id":768472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faulds, James E","contributorId":218147,"corporation":false,"usgs":false,"family":"Faulds","given":"James","email":"","middleInitial":"E","affiliations":[{"id":39739,"text":"Nevada Bureau of Mines and Geology, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":768473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"B. Mack Kennedy","contributorId":218148,"corporation":false,"usgs":false,"family":"B. Mack Kennedy","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":768474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maris, Virginie","contributorId":218149,"corporation":false,"usgs":false,"family":"Maris","given":"Virginie","email":"","affiliations":[{"id":39762,"text":"EGI/University of Utah","active":true,"usgs":false}],"preferred":false,"id":768475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":768471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Craig Ulrich","contributorId":218150,"corporation":false,"usgs":false,"family":"Craig Ulrich","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":768476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Joseph","contributorId":218163,"corporation":false,"usgs":false,"family":"Moore","given":"Joseph","affiliations":[],"preferred":false,"id":768501,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202430,"text":"70202430 - 2019 - Evidence for a duplicated mitochondrial region in Audubon’s shearwater based on MinION sequencing","interactions":[],"lastModifiedDate":"2019-03-01T11:25:18","indexId":"70202430","displayToPublicDate":"2019-03-01T11:25:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5807,"text":"Mitochondrial DNA Part A","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for a duplicated mitochondrial region in Audubon’s shearwater based on MinION sequencing","docAbstract":"<p><span>Mitochondrial genetic markers have been extensively used to study the phylogenetics and phylogeography of many birds, including seabirds of the order Procellariiformes. Evidence suggests that part of the mitochondrial genome of Procellariiformes, especially albatrosses, is duplicated, but no DNA fragment covering the entire duplication has been sequenced. We sequenced the complete mitochondrial genome of a non-albatross species of Procellariiformes,&nbsp;</span><i>Puffinus lherminieri</i><span>&nbsp;(Audubon’s shearwater) using the long-read MinION (ONT) technology. Two mitogenomes were assembled from the same individual, differing by 52 SNPs and in length. The shorter was 19 kb long while the longer was 21 kb, due to the presence of two identical copies of&nbsp;</span><i>nad6</i><span>, three tRNA, and two dissimilar copies of the control region (CR). Contrary to albatrosses,&nbsp;</span><i>cob</i><span>was not duplicated. We further detected a complex repeated region of undetermined length between the CR and 12S. Long-read sequencing suggests heteroplasmy and a novel arrangement within the duplicated region, indicating a complex evolution of the mitogenome in Procellariiformes.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24701394.2018.1484116","usgsCitation":"Torres, L., Welch, A., Zanchetta, C., Chesser, T., Manno, M., Donnadieu, C., Bretagnolle, V., and Pante, E., 2019, Evidence for a duplicated mitochondrial region in Audubon’s shearwater based on MinION sequencing: Mitochondrial DNA Part A, v. 30, no. 2, p. 256-263, https://doi.org/10.1080/24701394.2018.1484116.","productDescription":"8 p.","startPage":"256","endPage":"263","ipdsId":"IP-098747","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467855,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1329728","text":"External Repository"},{"id":361640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Torres, Lucas","contributorId":213753,"corporation":false,"usgs":false,"family":"Torres","given":"Lucas","email":"","affiliations":[{"id":37603,"text":"Université de La Rochelle","active":true,"usgs":false}],"preferred":false,"id":758418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welch, Andreanna J.","contributorId":79313,"corporation":false,"usgs":false,"family":"Welch","given":"Andreanna J.","affiliations":[],"preferred":false,"id":758419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zanchetta, Catherine","contributorId":213754,"corporation":false,"usgs":false,"family":"Zanchetta","given":"Catherine","email":"","affiliations":[{"id":38847,"text":"Centre INRA de Toulouse Midi-Pyrénées","active":true,"usgs":false}],"preferred":false,"id":758420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chesser, Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":177781,"corporation":false,"usgs":true,"family":"Chesser","given":"Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":758417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manno, Maxime","contributorId":213755,"corporation":false,"usgs":false,"family":"Manno","given":"Maxime","email":"","affiliations":[{"id":38847,"text":"Centre INRA de Toulouse Midi-Pyrénées","active":true,"usgs":false}],"preferred":false,"id":758421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Donnadieu, Cecile","contributorId":213756,"corporation":false,"usgs":false,"family":"Donnadieu","given":"Cecile","email":"","affiliations":[{"id":38847,"text":"Centre INRA de Toulouse Midi-Pyrénées","active":true,"usgs":false}],"preferred":false,"id":758422,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bretagnolle, Vincent","contributorId":213757,"corporation":false,"usgs":false,"family":"Bretagnolle","given":"Vincent","email":"","affiliations":[{"id":38848,"text":"CNRS & Université de La Rochelle","active":true,"usgs":false}],"preferred":false,"id":758423,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pante, Eric","contributorId":213758,"corporation":false,"usgs":false,"family":"Pante","given":"Eric","email":"","affiliations":[{"id":38848,"text":"CNRS & Université de La Rochelle","active":true,"usgs":false}],"preferred":false,"id":758424,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70202433,"text":"70202433 - 2019 - Practical tips to establish an actionable science portfolio for climate adaptation","interactions":[],"lastModifiedDate":"2020-12-08T17:52:07.268093","indexId":"70202433","displayToPublicDate":"2019-03-01T11:21:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5808,"text":"Science and Public Policy","active":true,"publicationSubtype":{"id":10}},"title":"Practical tips to establish an actionable science portfolio for climate adaptation","docAbstract":"<p><span>The delivery of climate adaptation science products and services to inform resource management decisions—otherwise known as actionable climate adaptation science—is the primary driver and intended outcome of the science portfolios administered within the Department of the Interior's Climate Adaptation Science Center (CASC) network in the USA. This commitment hinges on the essential requirement that natural and cultural resource managers (science users) and scientists (science producers) work in unison with one another. This partnership may be illustrated by the conventional demand and supply relationship, where resource managers create the demand term by explicitly describing&nbsp;</span><i>a priori</i><span>&nbsp;top decisions or priority actions concerning the natural or cultural resources they administer, and scientists supply relevant research products and services. But an ideal interaction of users and producers is not trivial and presents challenges in the process of establishing an actionable science portfolio. A few practical suggestions are presented here to set up a productive dialogue between resource managers and scientists, and broker that conversation as they work side-by-side toward agreed-upon common objectives. These useful tips stem from working towards the goal of establishing actionable science portfolios within the CASC network and may prove valuable to similar entities committed to delivering climate adaptation science to address resource management concerns.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/scipol/scy070","usgsCitation":"Bisbal, G.A., 2019, Practical tips to establish an actionable science portfolio for climate adaptation: Science and Public Policy, v. 46, no. 1, p. 148-153, https://doi.org/10.1093/scipol/scy070.","productDescription":"6 p.","startPage":"148","endPage":"153","ipdsId":"IP-089395","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":361639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bisbal, Gustavo A. 0000-0002-6674-9941","orcid":"https://orcid.org/0000-0002-6674-9941","contributorId":213767,"corporation":false,"usgs":true,"family":"Bisbal","given":"Gustavo","email":"","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":758436,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202666,"text":"70202666 - 2019 - Mineral resource of the month: Garnet","interactions":[],"lastModifiedDate":"2019-03-15T10:57:17","indexId":"70202666","displayToPublicDate":"2019-03-01T10:57:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1410,"text":"EARTHCARE: Global Protection of Natural Areas.","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Garnet","docAbstract":"<p><span>Garnet is the general name given to a group of complex silicate minerals, all with isometric crystal structure and similar properties and chemical composition. The most common garnet minerals are classified into three groups: the aluminum-garnet group, the chromium-garnet group and the iron-garnet group. Worldwide, garnet resources are large and occur in a wide variety of rocks, principally in metamorphic rocks such as gneisses and schists. Garnet also occurs in veins, contact metamorphic rocks, metamorphosed crystalline limestones, pegmatites and serpentinites. In addition, alluvial garnet sands are associated with heavy-mineral sand and gravel deposits in many parts of the world.&nbsp;</span></p>","language":"English","publisher":"AGI","usgsCitation":"Curry, K.C., 2019, Mineral resource of the month: Garnet: EARTHCARE: Global Protection of Natural Areas., v. 64, p. 98-99.","productDescription":"2 p.","startPage":"98","endPage":"99","ipdsId":"IP-103051","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":362095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362091,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-garnet-0"}],"volume":"64","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Curry, Kenneth C. 0000-0001-6317-097X","orcid":"https://orcid.org/0000-0001-6317-097X","contributorId":214224,"corporation":false,"usgs":true,"family":"Curry","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":759391,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202677,"text":"70202677 - 2019 - Louisiana black bear post-delisting monitoring: 3rd annual report","interactions":[],"lastModifiedDate":"2019-06-26T10:59:59","indexId":"70202677","displayToPublicDate":"2019-03-01T10:51:04","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Louisiana black bear post-delisting monitoring: 3rd annual report","docAbstract":"This report details population and habitat monitoring results as required for post-delisting monitoring under the US Endangered Species Act.","language":"English","publisher":"USFWS","usgsCitation":"Clark, J.D., Davidson, M., Greco, R., and Soileau, D., 2019, Louisiana black bear post-delisting monitoring: 3rd annual report, 14 p.","productDescription":"14 p.","ipdsId":"IP-104192","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":365061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362131,"type":{"id":15,"text":"Index Page"},"url":"https://ecos.fws.gov/ServCat/DownloadFile/162421"}],"country":"United 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Jr.","contributorId":13004,"corporation":false,"usgs":true,"family":"Soileau","given":"D.M.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":765110,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202437,"text":"70202437 - 2019 - Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate","interactions":[],"lastModifiedDate":"2019-06-18T10:27:40","indexId":"70202437","displayToPublicDate":"2019-03-01T10:39:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate","docAbstract":"<p><span>In response to warming winter air temperatures, freeze-sensitive mangrove forests are expected to expand at the expense of freeze-tolerant salt marshes. To better anticipate and prepare for mangrove range expansion, there is a need to advance understanding of the modulating role of microclimate. Here, we synthesized hypotheses regarding the effects of microclimatic variation on temperature gradients and mangrove freeze damage. Temperature data from the literature and from temperature loggers were used to quantify ecologically relevant temperature gradients. Then, literature-derived mangrove freeze damage data were used to quantify the ecological effects of these temperature gradients. Six microclimatic factors are described that produce air temperature gradients that modulate mangrove responses to winter temperature extremes: (1) distance from the ocean; (2) distance from wind buffers; (3) mangrove canopy cover; (4) height above the soil surface; (5) local slope concavity; and (6) tidal inundation. Variation in these factors produces local temperature differences that range from 2 to 14&nbsp;°C, with concomitant effects on horizontal and vertical patterns of biological damage from freezing. Collectively, our results elucidate the influence of microclimate on spatial patterns of biological damage and mortality due to winter temperature extremes. As mangrove ranges expand in response to climate change, we anticipate that microclimatic variation will produce adverse environments where mangrove expansion is prohibited as well as expansion hot spots where mangroves are protected. Subsequent expansion into newly available habitat will occur from protection zones, and microclimatic gradients may even produce positive feedback cycles that ultimately accelerate the rate of range expansion in response to warming.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00533-1","usgsCitation":"Osland, M.J., Hartmann, A.M., Day, R.H., Ross, M.S., Hall, C., Feher, L.C., and Vervaeke, W., 2019, Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate: Estuaries and Coasts, v. 42, no. 4, p. 1084-1096, https://doi.org/10.1007/s12237-019-00533-1.","productDescription":"13 p.","startPage":"1084","endPage":"1096","ipdsId":"IP-098812","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YWSV4O","text":"USGS data release","linkHelpText":"Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate"},{"id":361637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartmann, Arik M.","contributorId":213401,"corporation":false,"usgs":false,"family":"Hartmann","given":"Arik","email":"","middleInitial":"M.","affiliations":[{"id":38748,"text":"Hartmann Consulting Services at the U.S. Geological Survey, Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":758507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Michael S.","contributorId":202431,"corporation":false,"usgs":false,"family":"Ross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":36434,"text":"Florida International University, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":758509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Courtney T. 0000-0003-0990-5212","orcid":"https://orcid.org/0000-0003-0990-5212","contributorId":176330,"corporation":false,"usgs":true,"family":"Hall","given":"Courtney T.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vervaeke, William 0000-0002-1518-5197 vervaekew@usgs.gov","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":3265,"corporation":false,"usgs":true,"family":"Vervaeke","given":"William","email":"vervaekew@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758512,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202442,"text":"70202442 - 2019 - Hillslope hydrology in global change research and earth system modeling","interactions":[],"lastModifiedDate":"2019-03-26T16:04:00","indexId":"70202442","displayToPublicDate":"2019-03-01T10:35:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hillslope hydrology in global change research and earth system modeling","docAbstract":"<p><span>Earth System Models (ESMs) are essential tools for understanding and predicting global change, but they cannot explicitly resolve hillslope‐scale terrain structures that fundamentally organize water, energy, and biogeochemical stores and fluxes at subgrid scales. Here we bring together hydrologists, Critical Zone scientists, and ESM developers, to explore how hillslope structures may modulate ESM grid‐level water, energy, and biogeochemical fluxes. In contrast to the one‐dimensional (1‐D), 2‐ to 3‐m deep, and free‐draining soil hydrology in most ESM land models, we hypothesize that 3‐D, lateral ridge‐to‐valley flow through shallow and deep paths and insolation contrasts between sunny and shady slopes are the top two globally quantifiable organizers of water and energy (and vegetation) within an ESM grid cell. We hypothesize that these two processes are likely to impact ESM predictions where (and when) water and/or energy are limiting. We further hypothesize that, if implemented in ESM land models, these processes will increase simulated continental water storage and residence time, buffering terrestrial ecosystems against seasonal and interannual droughts. We explore efficient ways to capture these mechanisms in ESMs and identify critical knowledge gaps preventing us from scaling up hillslope to global processes. One such gap is our extremely limited knowledge of the subsurface, where water is stored (supporting vegetation) and released to stream baseflow (supporting aquatic ecosystems). We conclude with a set of organizing hypotheses and a call for global syntheses activities and model experiments to assess the impact of hillslope hydrology on global change predictions.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023903","usgsCitation":"Fan, Y., Clark, M., Lawrence, D.M., Swenson, S., Band, L.E., Brantley, S.L., Brooks, P.D., Dietrich, W.E., Flores, A., Grant, G., Kirchner, J.W., Mackay, D., McDonnell, J., Milly, P.C., Sullivan, P.L., Tague, C., Ajami, H., Chaney, N.W., Hartmann, A., Hazenberg, P., McNamara, J., Pelletier, J., Perket, J., Rouholahnejad-Freund, E., Wagener, T., Zeng, X., Beighley, E., Buzan, J., Huang, M., Livneh, B., Mohanty, B.P., Nijssen, B., Safeeq, M., Shen, C., van Verseveld, W., Volk, J., and Yamazaki, D., 2019, Hillslope hydrology in global change research and earth system modeling: Water Resources Research, v. 55, no. 2, p. 1737-1772, https://doi.org/10.1029/2018WR023903.","productDescription":"36 p.","startPage":"1737","endPage":"1772","ipdsId":"IP-102674","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr023903","text":"Publisher Index Page"},{"id":361636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Fan, Ying","contributorId":213846,"corporation":false,"usgs":false,"family":"Fan","given":"Ying","email":"","affiliations":[{"id":38903,"text":"Rutgers Univ.","active":true,"usgs":false}],"preferred":false,"id":758550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Martyn","contributorId":176319,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","affiliations":[],"preferred":false,"id":758551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, David M.","contributorId":105206,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":758552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swenson, Sean","contributorId":213847,"corporation":false,"usgs":false,"family":"Swenson","given":"Sean","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":758553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Band, L. E.","contributorId":213848,"corporation":false,"usgs":false,"family":"Band","given":"L.","email":"","middleInitial":"E.","affiliations":[{"id":38904,"text":"Univ. Virginia","active":true,"usgs":false}],"preferred":false,"id":758554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brantley, S. L.","contributorId":213849,"corporation":false,"usgs":false,"family":"Brantley","given":"S.","email":"","middleInitial":"L.","affiliations":[{"id":25381,"text":"Penn State Univ.","active":true,"usgs":false}],"preferred":false,"id":758555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, P. D.","contributorId":213850,"corporation":false,"usgs":false,"family":"Brooks","given":"P.","email":"","middleInitial":"D.","affiliations":[{"id":38905,"text":"Univ. Utah","active":true,"usgs":false}],"preferred":false,"id":758556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dietrich, W. 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D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":758549,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sullivan, P. L.","contributorId":213856,"corporation":false,"usgs":false,"family":"Sullivan","given":"P.","email":"","middleInitial":"L.","affiliations":[{"id":38908,"text":"Univ. Kansas","active":true,"usgs":false}],"preferred":false,"id":758563,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tague, C.","contributorId":213857,"corporation":false,"usgs":false,"family":"Tague","given":"C.","email":"","affiliations":[{"id":38909,"text":"Univ. 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,{"id":70201001,"text":"70201001 - 2019 - Spatiotemporal remote sensing of ecosystem change and causation across Alaska","interactions":[],"lastModifiedDate":"2024-05-17T15:00:39.48988","indexId":"70201001","displayToPublicDate":"2019-03-01T10:33:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal remote sensing of ecosystem change and causation across Alaska","docAbstract":"<p><span>Contemporary climate change in Alaska has resulted in amplified rates of press and pulse disturbances that drive ecosystem change with significant consequences for socio‐environmental systems. Despite the vulnerability of Arctic and boreal landscapes to change, little has been done to characterize landscape change and associated drivers across northern high‐latitude ecosystems. Here we characterize the historical sensitivity of Alaska's ecosystems to environmental change and anthropogenic disturbances using expert knowledge, remote sensing data, and spatiotemporal analyses and modeling. Time‐series analysis of moderate—and high‐resolution imagery was used to characterize land‐ and water‐surface dynamics across Alaska. Some 430,000 interpretations of ecological and geomorphological change were made using historical air photos and satellite imagery, and corroborate land‐surface greening, browning, and wetness/moisture trend parameters derived from peak‐growing season Landsat imagery acquired from 1984 to 2015. The time series of change metrics, together with climatic data and maps of landscape characteristics, were incorporated into a modeling framework for mapping and understanding of drivers of change throughout Alaska. According to our analysis, approximately 13% (~174,000&nbsp;±&nbsp;8700&nbsp;km</span><sup>2</sup><span>) of Alaska has experienced directional change in the last 32&nbsp;years (±95% confidence intervals). At the ecoregions level, substantial increases in remotely sensed vegetation productivity were most pronounced in western and northern foothills of Alaska, which is explained by vegetation growth associated with increasing air temperatures. Significant browning trends were largely the result of recent wildfires in interior Alaska, but browning trends are also driven by increases in evaporative demand and surface‐water gains that have predominately occurred over warming permafrost landscapes. Increased rates of photosynthetic activity are associated with stabilization and recovery processes following wildfire, timber harvesting, insect damage, thermokarst, glacial retreat, and lake infilling and drainage events. Our results fill a critical gap in the understanding of historical and potential future trajectories of change in northern high‐latitude regions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14279","usgsCitation":"Pastick, N.J., Jorgenson, M., Goetz, S., Jones, B.M., Wylie, B.K., Minsley, B.J., Genet, H., Knight, J.F., Swanson, D.K., and Jorgenson, J.C., 2019, Spatiotemporal remote sensing of ecosystem change and causation across Alaska: Global Change Biology, v. 25, no. 3, p. 1171-1189, https://doi.org/10.1111/gcb.14279.","productDescription":"18 p.","startPage":"1171","endPage":"1189","ipdsId":"IP-096342","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":437552,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DV1J6N","text":"USGS data release","linkHelpText":"Probabilistic estimates of landscape change in Alaska (1984 to 2015)"},{"id":359597,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Torre","affiliations":[],"preferred":false,"id":751666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goetz, Scott J.","contributorId":22232,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott J.","affiliations":[],"preferred":false,"id":751667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":751668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":751669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Genet, Hélène","contributorId":195179,"corporation":false,"usgs":false,"family":"Genet","given":"Hélène","affiliations":[],"preferred":false,"id":751671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knight, Joseph F.","contributorId":55311,"corporation":false,"usgs":true,"family":"Knight","given":"Joseph","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":751672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swanson, David K.","contributorId":178902,"corporation":false,"usgs":false,"family":"Swanson","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":751673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jorgenson, Janet C.","contributorId":191903,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Janet","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":751674,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70202444,"text":"70202444 - 2019 - Prediction of ice‐free conditions for a perennially ice‐covered Antarctic lake","interactions":[],"lastModifiedDate":"2019-03-26T16:04:41","indexId":"70202444","displayToPublicDate":"2019-03-01T10:31:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of ice‐free conditions for a perennially ice‐covered Antarctic lake","docAbstract":"<p><span>Although perennially ice‐covered Antarctic lakes have experienced variable ice thicknesses over the past several decades, future ice thickness trends and associated aquatic biological responses under projected global warming remain unknown. Heat stored in the water column in chemically stratified Antarctic lakes that have middepth temperature maxima can significantly influence the ice thickness trends via upward heat flux to the ice/water interface. We modeled the ice thickness of the west lobe of Lake Bonney, Antarctica, based on possible future climate scenarios utilizing a 1D thermodynamic model that accounts for surface radiative fluxes as well as the heat flux associated with the temperature evolution of the water column. Model results predict that the ice cover of Lake Bonney will shift from perennial to seasonal within one to four decades, a change that will drastically influence ecosystem processes within the lake.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JF004756","usgsCitation":"Obryk, M., Doran, P.T., and Priscu, J.C., 2019, Prediction of ice‐free conditions for a perennially ice‐covered Antarctic lake: Journal of Geophysical Research F: Earth Surface, v. 124, no. 2, p. 686-694, https://doi.org/10.1029/2018JF004756.","productDescription":"9 p.","startPage":"686","endPage":"694","ipdsId":"IP-097873","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jf004756","text":"Publisher Index Page"},{"id":361635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Taylor Valley, McMurdo Dry Valleys, Antarctica","volume":"124","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, P. T.","contributorId":213879,"corporation":false,"usgs":false,"family":"Doran","given":"P.","email":"","middleInitial":"T.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":758590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Priscu, J. C.","contributorId":213880,"corporation":false,"usgs":false,"family":"Priscu","given":"J.","email":"","middleInitial":"C.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":758591,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202431,"text":"70202431 - 2019 - An improved mechanical owl for efficient capture of nesting raptors","interactions":[],"lastModifiedDate":"2019-03-01T10:28:12","indexId":"70202431","displayToPublicDate":"2019-03-01T10:28:08","publicationYear":"2019","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":"An improved mechanical owl for efficient capture of nesting raptors","docAbstract":"<p><span>Scientific study of raptors often requires the use of a lure to capture individuals for marking or collecting various data and samples. Live lure owls in the genus&nbsp;</span><i>Bubo</i><span>&nbsp;are commonly used with mist nets or dho-gazas to trap nesting raptors, but the use of these live lures presents ethical, logistical, and financial challenges. Although owls mounted by taxidermists and mechanical owls have been used in place of a live bird, the success of these types of lures varies widely. We created a more realistic mechanical owl with a greater range of motion than previous models, and then tested the owl on six raptor species in a variety of habitats. For all but one species, capture rates using our mechanical owl were similar to or slightly higher than those reported in studies using live lure owls or previously designed mechanical owls. Time to capture of Northern Goshawks (</span><i>Accipiter gentilis</i><span>) was, on average, 8 min faster when using our mechanical owl compared to a live owl. Cost analysis revealed that both the initial expense and long-term maintenance of a mechanical owl were less than that of a live lure owl. Mechanical owls can be a useful tool for capturing raptors. Although there are some drawbacks to using a mechanical owl, our results suggest that mechanical birds are comparable to live lure owls and we believe the benefits of using a mechanical owl often outweigh the costs.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-18-30","usgsCitation":"Jensen, M.K., Hamburg, S.D., Rota, C.T., Brinker, D.F., Coles, D.L., Manske, M.A., Slabe, V.A., Stuber, M.J., Welsh, A.B., and Katzner, T., 2019, An improved mechanical owl for efficient capture of nesting raptors: Journal of Raptor Research, v. 53, no. 1, p. 14-25, https://doi.org/10.3356/JRR-18-30.","productDescription":"12 p.","startPage":"14","endPage":"25","ipdsId":"IP-096341","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-18-30","text":"Publisher Index Page"},{"id":361634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jensen, Meghan K.","contributorId":213759,"corporation":false,"usgs":false,"family":"Jensen","given":"Meghan","email":"","middleInitial":"K.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamburg, Shanti D.","contributorId":213760,"corporation":false,"usgs":false,"family":"Hamburg","given":"Shanti","email":"","middleInitial":"D.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rota, Christopher T.","contributorId":213761,"corporation":false,"usgs":false,"family":"Rota","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinker, David F.","contributorId":207103,"corporation":false,"usgs":false,"family":"Brinker","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":758429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coles, Dustin L.","contributorId":213762,"corporation":false,"usgs":false,"family":"Coles","given":"Dustin","email":"","middleInitial":"L.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manske, Mark A.","contributorId":213763,"corporation":false,"usgs":false,"family":"Manske","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38850,"text":"Paul Smiths College","active":true,"usgs":false}],"preferred":false,"id":758431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Slabe, Vincent A.","contributorId":213764,"corporation":false,"usgs":false,"family":"Slabe","given":"Vincent","email":"","middleInitial":"A.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stuber, Matthew J.","contributorId":213765,"corporation":false,"usgs":false,"family":"Stuber","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":758433,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":758434,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":758425,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70250106,"text":"70250106 - 2019 - Genetic  and morphological differences between water chestnut (Myrtales: Lythraceae: Trapa) populations in the northeastern United States, Japan, and South Africa","interactions":[],"lastModifiedDate":"2023-11-20T16:36:49.182804","indexId":"70250106","displayToPublicDate":"2019-03-01T10:27:09","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC/EL TR-19-3","displayTitle":"Genetic  and morphological differences between water chestnut (Myrtales: Lythraceae: <i>Trapa</i>) populations in the northeastern United States, Japan, and South Africa","title":"Genetic  and morphological differences between water chestnut (Myrtales: Lythraceae: Trapa) populations in the northeastern United States, Japan, and South Africa","docAbstract":"This Special Report (SR) outlines preliminary work conducted under the Aquatic Plant Control Research Program (APCRP) to investigate genetic and morphological differences of Trapa taxa (water chestnut) in the Northeastern (NE) US.  Comparisons of morphological characteristics and genetics were made between Trapa populations from the native region of Eurasia and Africa versus the NE US.  Unpublished data suggests a new introduction of Trapa (herein referred to as Trapa sp.) has occurred in the Commonwealth of Virginia, US with unknown biology and life history.  Observations of morphological and phenological characteristics of this potential new taxon of Trapa differ from those typically found with naturalized Trapa natans reported in the NE US.  A better understanding of the biology and ecology of Trapa sp. is warranted to identify control strategies that would benefit water resource managers tasked with management of water chestnut.","language":"English","publisher":"U.S. Army Corps of Engineers","usgsCitation":"Dodd, L.L., Rybicki, N.B., Thum, R., Kadono, Y., and Ingram, K.S., 2019, Genetic  and morphological differences between water chestnut (Myrtales: Lythraceae: Trapa) populations in the northeastern United States, Japan, and South Africa: Technical Report ERDC/EL TR-19-3, vii, 36 p.","productDescription":"vii, 36 p.","ipdsId":"IP-089017","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":422733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422715,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://apps.dtic.mil/sti/citations/AD1070329","linkFileType":{"id":5,"text":"html"}}],"country":"Japan, South Africa, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.62089570792712,\n              44.171243851906866\n            ],\n            [\n              -79.62089570792712,\n              36.680307489374314\n            ],\n            [\n              -76.73273032527511,\n              36.38128680032565\n            ],\n            [\n              -74.63571312075906,\n              38.14249864798751\n            ],\n            [\n              -72.24435294806024,\n              44.89716089495792\n            ],\n            [\n              -79.62089570792712,\n              44.171243851906866\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              132.03867276862462,\n              35.64102455015066\n            ],\n            [\n              132.92461937868143,\n              33.001746575754\n            ],\n            [\n              138.6198528234483,\n              34.57872581660037\n            ],\n            [\n              141.0345151944726,\n              37.94043116264548\n            ],\n            [\n              132.03867276862462,\n              35.64102455015066\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              30.720968748818848,\n              -28.431359205592166\n            ],\n            [\n              30.720968748818848,\n              -29.430525112691086\n            ],\n            [\n              31.302469390140345,\n              -29.421046764376126\n            ],\n            [\n              32.32378348122495,\n              -28.605125359461624\n            ],\n            [\n              32.18272265452467,\n              -28.431359205592166\n            ],\n            [\n              30.720968748818848,\n              -28.431359205592166\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dodd, Lynde L.","contributorId":331651,"corporation":false,"usgs":false,"family":"Dodd","given":"Lynde","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":888372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":888373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thum, Ryan","contributorId":150630,"corporation":false,"usgs":false,"family":"Thum","given":"Ryan","email":"","affiliations":[{"id":18056,"text":"3. Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":888374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kadono, Yasuro","contributorId":204998,"corporation":false,"usgs":false,"family":"Kadono","given":"Yasuro","email":"","affiliations":[{"id":37018,"text":"University of Kobe, Japan","active":true,"usgs":false}],"preferred":false,"id":888375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingram, Kadiera Searfoss 0000-0001-7410-1224","orcid":"https://orcid.org/0000-0001-7410-1224","contributorId":331652,"corporation":false,"usgs":true,"family":"Ingram","given":"Kadiera","email":"","middleInitial":"Searfoss","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":888376,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203032,"text":"70203032 - 2019 - A constant slip rate for the western Qilian Shan frontal thrust during the last 200 ka consistent with GPS-derived and geological shortening rates","interactions":[],"lastModifiedDate":"2019-04-15T10:01:45","indexId":"70203032","displayToPublicDate":"2019-03-01T10:01:20","publicationYear":"2019","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":"A constant slip rate for the western Qilian Shan frontal thrust during the last 200 ka consistent with GPS-derived and geological shortening rates","docAbstract":"Active thrust faulting at the front of the Qilian Shan accommodates the northeastward growth of the Tibetan Plateau, however, the lifespan of individual faults and their slip history on different timescales remain largely unknown. Here, we show that the main range-bounding thrust fault of the western Qilian Shan has accrued tectonic slip at an almost constant rate during the last ∼200 ka, and possibly since fault initiation in the mid-Miocene. Our finding is based on 10Be ages from a flight of five deformed fluvial terraces along the Hongshuiba river, which constrain the vertical slip rate of the Qilian Shan frontal thrust to be  m/ka during the last 200 ka. With a fault dip of ° constrained by seismic reflection data, we obtain a horizontal shortening rate of  m/ka. This value is consistent with both the short-term shortening rate of  mm/a derived from GPS data and the long-term shortening rate of  m/ka, which is based on a balanced geological cross-section. The latter provides a total shortening estimate of  km since the thrust fault initiated  Ma ago. The agreement between the shortening rates on the range of timescales between 100 and 107 years suggests that the western Qilian Shan frontal thrust has slipped at a steady rate since its initiation and implies that this fault is the main structure responsible for the growth of the western Qilian Shan.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.12.032","usgsCitation":"Hetzel, R., Hampel, A., Gebbeken, P., Xu, Q., and Gold, R.D., 2019, A constant slip rate for the western Qilian Shan frontal thrust during the last 200 ka consistent with GPS-derived and geological shortening rates: Earth and Planetary Science Letters, v. 509, p. 100-113, https://doi.org/10.1016/j.epsl.2018.12.032.","productDescription":"14 p.","startPage":"100","endPage":"113","ipdsId":"IP-103897","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":362946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Tibetan Plateau, Qilian Shan","volume":"509","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hetzel, Ralf","contributorId":214815,"corporation":false,"usgs":false,"family":"Hetzel","given":"Ralf","email":"","affiliations":[{"id":39121,"text":"Institut für Geologie und Paläontologie, Westfälische Wilhelms-Universität Münster, Corrensstr","active":true,"usgs":false}],"preferred":false,"id":760861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hampel, Andrea","contributorId":214816,"corporation":false,"usgs":false,"family":"Hampel","given":"Andrea","email":"","affiliations":[{"id":39122,"text":"Institut für Geologie, Leibniz Universität Hannover, Callinstr","active":true,"usgs":false}],"preferred":false,"id":760862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gebbeken, Pia","contributorId":214817,"corporation":false,"usgs":false,"family":"Gebbeken","given":"Pia","email":"","affiliations":[{"id":39121,"text":"Institut für Geologie und Paläontologie, Westfälische Wilhelms-Universität Münster, Corrensstr","active":true,"usgs":false}],"preferred":false,"id":760863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xu, Qiang","contributorId":214818,"corporation":false,"usgs":false,"family":"Xu","given":"Qiang","email":"","affiliations":[{"id":39123,"text":"Key Laboratory of Continental Collision and Plateau Uplift, Institute of Tibetan Plateau Research and Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":760864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760865,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204631,"text":"70204631 - 2019 - Principles of translational science education","interactions":[],"lastModifiedDate":"2019-08-07T09:58:03","indexId":"70204631","displayToPublicDate":"2019-03-01T09:56:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Principles of translational science education","docAbstract":"In a recent special issue in Frontiers in Ecology and the Environment,\nEnquist et al. (2017) present a welcome streamlining of modern applied\necology emphasizing a collaborative approach to applied ecological\nresearch involving resource-managers and scientists to produce actionable\nscience: translational ecology (TE). The authors, including ecologists, social\nscientists, and conservation professionals, identified six principles defining\nthe practice of translational ecology: collaboration, engagement,\ncommitment, communication, process, and framing (Figure 1). In thinking\nabout how science education can be enhanced by directly involving\nresearchers in science education, we recognized remarkable overlap\nbetween the principles of translational ecology (Enquist et al. 2017) and a\nframework for developing mutually beneficial integrative partnerships\nbetween scientists and educators. Here, we describe scientist-educator\nanalogies of the six principles of translational ecology: translational science\neducation (TSE).","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2007","usgsCitation":"Sutherland, C., Padilla, B., and Campbell Grant, E.H., 2019, Principles of translational science education: Frontiers in Ecology and Evolution, v. 17, no. 2, p. 82-84, https://doi.org/10.1002/fee.2007.","productDescription":"3 p.","startPage":"82","endPage":"84","ipdsId":"IP-096063","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":366330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":767843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Padilla, B","contributorId":217935,"corporation":false,"usgs":false,"family":"Padilla","given":"B","email":"","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":767844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767842,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227748,"text":"70227748 - 2019 - Factors influencing anuran wetland occupancy in an agricultural landscape","interactions":[],"lastModifiedDate":"2022-01-28T15:45:44.931393","indexId":"70227748","displayToPublicDate":"2019-03-01T09:30:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing anuran wetland occupancy in an agricultural landscape","docAbstract":"<p>Habitat disturbance is an important cause of global amphibian declines, with especially strong effects in areas of high agricultural use. Determining the influence of site characteristics on amphibian presence and success is vital to developing effective conservation strategies. We used occupancy analysis to estimate presence of four anuran species at wetlands in northern Iowa as a function of eight environmental covariates hypothesized to affect occupancy: fish and salamander abundance, invertebrate density, aquatic vegetative cover, wetland area, atrazine concentration in water, surrounding agricultural land use, and an overall wetland health score (wetland condition index [WCI]). We surveyed 27 wetlands multiple times in 2015 and 2016. Leopard Frogs (<i>Lithobates pipiens</i>) and American Toads (<i>Anaxyrus americanus</i>) were observed at 100% of the sites, Boreal Chorus Frogs (<i>Pseudacris maculata</i>) at 96%, and Gray Treefrogs (<i>Hyla</i><span>&nbsp;</span>spp.) at 81%. Wetland site occupancy for all species in our study ranged from 0.23 (<i>Hyla</i><span>&nbsp;</span>spp. tadpoles) to 0.95 (<i>L. pipiens</i><span>&nbsp;</span>adults), indicating that agricultural wetlands can provide refuge or habitat for amphibians. Fish abundance, percentage of cropland cover within 500 m of the wetland, and salamander abundance were among the variables best supported by our models although their estimated effects were weak. Wetland area, atrazine concentration, vegetative cover, and WCI also influenced occupancy probability, but for only a small number of species and life stages. The direction of predicted effects varied by species and life stage. Despite only weak evidence that the environmental factors we measured influenced anuran occupancy, our results provide insights for managers seeking to understand how amphibians use landscapes modified by agriculture.</p>","language":"English","publisher":"Allen Press","doi":"10.1655/HERPETOLOGICA-D-18-00013.1","usgsCitation":"Swanson, J.E., Pierce, C., Dinsmore, S., Smalling, K., Vandever, M.W., Stewart, T.W., and Muths, E., 2019, Factors influencing anuran wetland occupancy in an agricultural landscape: Herpetologica, v. 75, no. 1, p. 47-56, https://doi.org/10.1655/HERPETOLOGICA-D-18-00013.1.","productDescription":"10 p.","startPage":"47","endPage":"56","ipdsId":"IP-090725","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":395063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.339111328125,\n              42.00032514831621\n            ],\n            [\n              -90.010986328125,\n              42.00848901572399\n            ],\n            [\n              -90.19775390625,\n              42.26917949243506\n            ],\n            [\n              -90.538330078125,\n              42.54498667313236\n            ],\n            [\n              -90.560302734375,\n              42.68243539838623\n            ],\n            [\n              -90.977783203125,\n              42.79540065303723\n            ],\n            [\n              -91.065673828125,\n              43.13306116240612\n            ],\n            [\n              -90.977783203125,\n              43.28520334369384\n            ],\n            [\n              -91.175537109375,\n              43.51668853502906\n            ],\n            [\n              -96.64672851562499,\n              43.51668853502906\n            ],\n            [\n              -96.64672851562499,\n              43.30919109985686\n            ],\n            [\n              -96.580810546875,\n              43.1090040242731\n            ],\n            [\n              -96.800537109375,\n              42.76314586689492\n            ],\n            [\n              -96.45996093749999,\n              42.45588764197166\n            ],\n            [\n              -96.339111328125,\n              42.00032514831621\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Swanson, Jennifer E.","contributorId":140894,"corporation":false,"usgs":false,"family":"Swanson","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":832143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinsmore, Stephen J.","contributorId":61718,"corporation":false,"usgs":true,"family":"Dinsmore","given":"Stephen J.","affiliations":[],"preferred":false,"id":832144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Timothy W.","contributorId":171433,"corporation":false,"usgs":false,"family":"Stewart","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":832145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245922,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832027,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204531,"text":"70204531 - 2019 - Fish growth changes over time in a Midwestern U.S. lake","interactions":[],"lastModifiedDate":"2019-08-01T09:17:55","indexId":"70204531","displayToPublicDate":"2019-03-01T09:17:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Fish growth changes over time in a Midwestern U.S. lake","docAbstract":"Growth of Walleyes Sander vitreus, Yellow Bass Morone mississippiensis, Common Carp Cyprinus carpio, and Black Bullheads Ameiurus melas was assessed in Clear Lake, Iowa, over several decades and in relation to environmental variables. Growth of Common Carp was positively correlated with phytoplankton concentration. Recent Black Bullhead growth was faster than in the 1950s and 1990s, which may be a consequence of their recent decline in abundance. Growth of Common Carp and Yellow Bass was faster in the 1940s than in more recent time periods. Relative to their entire range, Common Carp first‐year growth was below average, whereas length at later ages was above average. Walleye relative growth showed a similar pattern. The large changes in growth over several decades suggest that as the Clear Lake ecosystem continues to change, growth rates of its important fish species are also likely to continue changing.","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10149","usgsCitation":"Pierce, C., 2019, Fish growth changes over time in a Midwestern U.S. lake: Transactions of the American Fisheries Society, v. 148, no. 2, p. 493-506, https://doi.org/10.1002/tafs.10149.","productDescription":"14 p.","startPage":"493","endPage":"506","ipdsId":"IP-084903","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":366063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":767416,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206132,"text":"70206132 - 2019 - Role of recovering river herring population on smallmouth bass diet and growth","interactions":[],"lastModifiedDate":"2019-10-30T06:31:02","indexId":"70206132","displayToPublicDate":"2019-03-01T09:06:53","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Role of recovering river herring population on smallmouth bass diet and growth","docAbstract":"Fish assemblages in Atlantic coastal rivers have undergone extensive ecological change in the last two and a half centuries due to human influence, including extirpation of many migratory fish species, such as river herring (Alosa spp.) and introduction of nonnative piscivores, notably Smallmouth Bass Micropterus dolomieu. Recently, dam removals and fish passage improvements in the Penobscot River, Maine, have allowed river herring to return to reaches of the river that have been inaccessible since the late 19th century. Alosine populations have increased and this trend is anticipated to continue. This may increase forage in the system which could potentially increase growth for Smallmouth Bass, the dominant piscivore. We examined the diet and growth of Smallmouth Bass collected from areas of the Penobscot River watershed with and without access to river herring as prey. We collected 765 Smallmouth Bass throughout 2015, examined the stomach contents of 573 individuals, and found notable differences in diet among three river reaches with common seasonal trends. Juvenile river herring composed an average of 19% (SE = ±6%) of stomach contents by mass from Smallmouth Bass collected in the freshwater tidal area but were rarely observed in the diets upstream. We used estimates from von Bertalanffy growth models to examine differences in growth among reaches and found that asymptotic length was the longest (425 mm TL) in the Tidal reach where access to river herring was unrestricted. We then used these data to predict changes to growth associated with increased access to juvenile river herring prey with bioenergetics models. Results indicated that substituting juvenile river herring for less energy-dense prey (e.g.,invertebrates) may lead to increases in seasonal growth throughout the watershed as river herring populations continue to rebound in response to dam removal. Our results provide insight into the diet and growth of Smallmouth Bass in a large New England river, and provide a foundation for future work investigating unfolding changes to these characteristics following recent dam removals.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing centrarchid fisheries in rivers and streams","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","isbn":"9781934874523","usgsCitation":"Watson, J.M., Coghlan, S.M., Zydlewski, J.D., Hayes, D.B., and Stich, D.S., 2019, Role of recovering river herring population on smallmouth bass diet and growth, chap. <i>of</i> Managing centrarchid fisheries in rivers and streams, 18 p.","productDescription":"18 p.","ipdsId":"IP-086810","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":368699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368671,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54087p/"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.8348388671875,\n              44.70770622183535\n            ],\n            [\n              -68.34869384765625,\n              44.70770622183535\n            ],\n            [\n              -68.34869384765625,\n              45.94160076422081\n            ],\n            [\n              -68.8348388671875,\n              45.94160076422081\n            ],\n            [\n              -68.8348388671875,\n              44.70770622183535\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Jonathan M.","contributorId":207174,"corporation":false,"usgs":false,"family":"Watson","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":773683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Daniel B.","contributorId":16799,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":773994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":773995,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227085,"text":"70227085 - 2019 - Activity patterns of bats during the fall and spring along ridgelines in the central Appalachians","interactions":[],"lastModifiedDate":"2021-12-29T15:02:50.279575","indexId":"70227085","displayToPublicDate":"2019-03-01T08:57:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Activity patterns of bats during the fall and spring along ridgelines in the central Appalachians","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Many central Appalachian ridges offer high wind potential, making them attractive to future wind-energy development. Understanding seasonal and hourly activity patterns of migratory bat species may help to reduce fatalities at wind-energy facilities and provide guidance for the development of best management practices for bats. To examine hourly migratory bat activity patterns in the fall and spring in Virginia in an exploratory fashion with a suite of general temporal, environmental, and weather variables, we acoustically monitored bat activity on five ridgelines and side slopes from early September through mid-November 2015 and 2016 and from early March through late April 2016 and 2017. On ridges, bat activity decreased through the autumn sample period, but was more variable through the spring sample period. In autumn, migratory bat activity had largely ceased by mid-November. Activity patterns were species specific in both autumn and spring sample periods. Generally, migratory bat activity was negatively associated with hourly wind speeds but positively associated with ambient temperatures. These data provide further evidence that operational mitigation strategies at wind-energy facilities could help protect migratory bat species in the Appalachians; substantially slowing or locking wind turbine blade spin during periods of low wind speeds, often below where electricity is generated, and warm ambient temperatures may minimize mortality during periods of high bat activity.</p></div>","language":"English","publisher":"Allen Press","doi":"10.3996/082018-JFWM-072","usgsCitation":"Muthersbaugh, M.S., Ford, W., and Powers, K., 2019, Activity patterns of bats during the fall and spring along ridgelines in the central Appalachians: Journal of Fish and Wildlife Management, v. 10, no. 1, p. 180-195, https://doi.org/10.3996/082018-JFWM-072.","productDescription":"16 p.","startPage":"180","endPage":"195","ipdsId":"IP-099510","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/082018-jfwm-072","text":"Publisher Index Page"},{"id":393583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.4251708984375,\n              37.19533058280065\n            ],\n            [\n              -81.19445800781249,\n              36.94111143010769\n            ],\n            [\n              -80.74951171875,\n              36.98500309285596\n            ],\n            [\n              -80.04638671875,\n              37.37015718405753\n            ],\n            [\n              -78.64013671875,\n              38.18638677411551\n            ],\n            [\n              -77.95898437499999,\n              38.87392853923629\n            ],\n            [\n              -77.3876953125,\n              39.45316112807394\n            ],\n            [\n              -77.5360107421875,\n              39.76632525654491\n            ],\n            [\n              -77.9150390625,\n              39.842286020743394\n            ],\n            [\n              -79.024658203125,\n              39.499802162332884\n            ],\n            [\n              -79.716796875,\n              39.21523130910491\n            ],\n            [\n              -80.79345703125,\n              38.30718056188316\n            ],\n            [\n              -81.474609375,\n              37.47485808497102\n            ],\n            [\n              -81.4251708984375,\n              37.19533058280065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Muthersbaugh, Michael S.","contributorId":270591,"corporation":false,"usgs":false,"family":"Muthersbaugh","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":829596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, Karen E.","contributorId":270592,"corporation":false,"usgs":false,"family":"Powers","given":"Karen E.","affiliations":[{"id":34752,"text":"Radford University","active":true,"usgs":false}],"preferred":false,"id":829598,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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