{"pageNumber":"1266","pageRowStart":"31625","pageSize":"25","recordCount":165309,"records":[{"id":70177808,"text":"70177808 - 2014 - Comprehensive framework for ecological assessment of the Migratory Bird Habitat Initiative following the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2016-10-21T15:29:03","indexId":"70177808","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Comprehensive framework for ecological assessment of the Migratory Bird Habitat Initiative following the Deepwater Horizon oil spill","docAbstract":"<p><span>Following the Deepwater Horizon oil spill in the Gulf of Mexico in April 2010, the USDA Natural Resources Conservation Service (NRCS) established and funded the Migratory Bird Habitat Initiative (MBHI), with the goal of improving and increasing wetland habitats on private lands to benefit wintering and migrating waterbirds displaced from oil-impacted coastal wetlands. The NRCS and conservation partners provided financial and technical assistance to landowners and managers of sites enrolled in various conservation easement programs, and incorporated approximately 190,000 ha of wetlands and agricultural lands in the Mississippi Alluvial Valley (MAV) and Gulf Coast regions in the MBHI. In fall 2010, the NRCS worked with scientists and graduate students from three universities and various conservation agencies to design and implement landscape-scale evaluations of (1) the use of MBHI-managed wetlands and comparable non-MBHI wetlands by </span><i>Charadriiformes</i><span>(shorebirds), </span><i>Anseriformes</i><span> (waterfowl), and other waterbirds; and (2) the relative effectiveness of different MBHI practices for providing habitat and food resources for migrating, resident, and wintering waterbirds. In this paper, we describe the scientific framework designed to evaluate the MBHI in improving waterbird habitats on private lands in the MAV, the Gulf Coast Prairies in Louisiana and Texas, and Gulf coastal wetlands of Mississippi and Alabama. The results of our evaluation will enhance our understanding of the influence of MBHI, other Farm Bill Conservation Initiative managed lands (e.g., Wetland Reserve Program), and selected agricultural working lands (e.g., </span><i>Oryza sativa</i><span> L. [Rice] fields in southern Louisiana and Texas) on wintering and migrating waterbirds. A proactive approach that uses science to evaluate governmental conservation programs is relevant and can inform development of meaningful public policy that likely will be needed for effective delivery of future conservation programs and to justify financial incentives paid to landowners to apply best management practices.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.013.0419","usgsCitation":"Davis, J., Webb, E.B., Kaminski, R.M., Barbour, P.J., and Vilella, F., 2014, Comprehensive framework for ecological assessment of the Migratory Bird Habitat Initiative following the Deepwater Horizon oil spill: Southeastern Naturalist, v. 13, no. 4, p. G66-G81, https://doi.org/10.1656/058.013.0419.","productDescription":"16 p.","startPage":"G66","endPage":"G81","ipdsId":"IP-053870","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5810c906e4b0f497e7973e89","contributors":{"authors":[{"text":"Davis, J. Brian","contributorId":172316,"corporation":false,"usgs":false,"family":"Davis","given":"J. Brian","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":651854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":651855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaminski, Richard M.","contributorId":78205,"corporation":false,"usgs":false,"family":"Kaminski","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":651856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbour, Philip J.","contributorId":176199,"corporation":false,"usgs":false,"family":"Barbour","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":651857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":651848,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189185,"text":"70189185 - 2014 - The effects of changing land cover on streamflow simulation in Puerto Rico","interactions":[],"lastModifiedDate":"2017-07-06T14:43:52","indexId":"70189185","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The effects of changing land cover on streamflow simulation in Puerto Rico","docAbstract":"<p><span>This study quantitatively explores whether land cover changes have a substantive impact on simulated streamflow within the tropical island setting of Puerto Rico. The Precipitation Runoff Modeling System (PRMS) was used to compare streamflow simulations based on five static parameterizations of land cover with those based on dynamically varying parameters derived from four land cover scenes for the period 1953-2012. The PRMS simulations based on static land cover illustrated consistent differences in simulated streamflow across the island. It was determined that the scale of the analysis makes a difference: large regions with localized areas that have undergone dramatic land cover change may show negligible difference in total streamflow, but streamflow simulations using dynamic land cover parameters for a highly altered subwatershed clearly demonstrate the effects of changing land cover on simulated streamflow. Incorporating dynamic parameterization in these highly altered watersheds can reduce the predictive uncertainty in simulations of streamflow using PRMS. Hydrologic models that do not consider the projected changes in land cover may be inadequate for water resource management planning for future conditions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12227","usgsCitation":"Van Beusekom, A.E., Hay, L.E., Viger, R.J., Gould, W.A., Collazo, J., and Henareh Khalyani, A., 2014, The effects of changing land cover on streamflow simulation in Puerto Rico: Journal of the American Water Resources Association, v. 50, no. 6, p. 1575-1593, https://doi.org/10.1111/jawr.12227.","productDescription":"19 p.","startPage":"1575","endPage":"1593","ipdsId":"IP-054092","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Puerto 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,{"id":70129182,"text":"70129182 - 2014 - Eruptions at Lone Star geyser, Yellowstone National Park, USA: 2. Constraints on subsurface dynamics","interactions":[],"lastModifiedDate":"2019-03-14T08:19:45","indexId":"70129182","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Eruptions at Lone Star geyser, Yellowstone National Park, USA: 2. Constraints on subsurface dynamics","docAbstract":"<p><span>We use seismic, tilt, lidar, thermal, and gravity data from 32 consecutive eruption cycles of Lone Star geyser in Yellowstone National Park to identify key subsurface processes throughout the geyser's eruption cycle. Previously, we described measurements and analyses associated with the geyser's erupting jet dynamics. Here we show that seismicity is dominated by hydrothermal tremor (~5&ndash;40&thinsp;Hz) attributed to the nucleation and/or collapse of vapor bubbles. Water discharge during eruption preplay triggers high-amplitude tremor pulses from a back azimuth aligned with the geyser cone, but during the rest of the eruption cycle it is shifted to the east-northeast. Moreover, ~4&thinsp;min period ground surface displacements recur every 26&thinsp;&plusmn;&thinsp;8&thinsp;min and are uncorrelated with the eruption cycle. Based on these observations, we conclude that (1) the dynamical behavior of the geyser is controlled by the thermo-mechanical coupling between the geyser conduit and a laterally offset reservoir periodically filled with a highly compressible two-phase mixture, (2) liquid and steam slugs periodically ascend into the shallow crust near the geyser system inducing detectable deformation, (3) eruptions occur when the pressure decrease associated with overflow from geyser conduit during preplay triggers an unstable feedback between vapor generation (cavitation) and mass discharge, and (4) flow choking at a constriction in the conduit arrests the runaway process and increases the saturated vapor pressure in the reservoir by a factor of ~10 during eruptions.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2014JB011526","usgsCitation":"Vandemeulebrouck, J., Sohn, R.A., Rudolph, M., Hurwitz, S., Manga, M., Johnston, M.J., Soule, S., McPhee, D., Glen, J., Karlstrom, L., and Murphy, F., 2014, Eruptions at Lone Star geyser, Yellowstone National Park, USA: 2. Constraints on subsurface dynamics: Journal of Geophysical Research B: Solid Earth, v. 119, no. 12, p. 8688-8707, https://doi.org/10.1002/2014JB011526.","productDescription":"20 p.","startPage":"8688","endPage":"8707","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060505","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":472627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011526","text":"Publisher Index Page"},{"id":325073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Lone Star geyser, Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05804443359375,\n              44.39454219215587\n            ],\n            [\n              -111.05804443359375,\n              44.69013547299005\n            ],\n            [\n              -110.57189941406249,\n              44.69013547299005\n            ],\n            [\n              -110.57189941406249,\n              44.39454219215587\n            ],\n            [\n              -111.05804443359375,\n              44.39454219215587\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"12","noUsgsAuthors":false,"publicationDate":"2014-12-05","publicationStatus":"PW","scienceBaseUri":"579dcfdee4b0589fa1cbd7e5","contributors":{"authors":[{"text":"Vandemeulebrouck, Jean","contributorId":101973,"corporation":false,"usgs":true,"family":"Vandemeulebrouck","given":"Jean","email":"","affiliations":[],"preferred":false,"id":519816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sohn, Robert A.","contributorId":37258,"corporation":false,"usgs":true,"family":"Sohn","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":519813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rudolph, Maxwell L.","contributorId":42122,"corporation":false,"usgs":true,"family":"Rudolph","given":"Maxwell L.","affiliations":[],"preferred":false,"id":519814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":519809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manga, Michael","contributorId":66559,"corporation":false,"usgs":true,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":519815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Malcolm J.S.","contributorId":105171,"corporation":false,"usgs":true,"family":"Johnston","given":"Malcolm","email":"","middleInitial":"J.S.","affiliations":[],"preferred":false,"id":519807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Soule, S. 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G.","affiliations":[],"preferred":false,"id":519808,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karlstrom, Leif","contributorId":23048,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Leif","affiliations":[],"preferred":false,"id":519812,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Murphy, Fred fmurphy@usgs.gov","contributorId":4572,"corporation":false,"usgs":true,"family":"Murphy","given":"Fred","email":"fmurphy@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":519811,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70137569,"text":"70137569 - 2014 - Verifying success of artificial spawning reefs in the St. Clair-Detroit River System for lake sturgeon (<i>Acipenser fulvescens</i> Rafinesque, 1817)","interactions":[],"lastModifiedDate":"2015-01-22T09:03:48","indexId":"70137569","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Verifying success of artificial spawning reefs in the St. Clair-Detroit River System for lake sturgeon (<i>Acipenser fulvescens</i> Rafinesque, 1817)","docAbstract":"<p><span>Lake sturgeon (</span><i>Acipenser fulvescens</i><span>) were historically abundant in the St. Clair &ndash; Detroit River System (SCDRS), a 160&nbsp;km river/channel network. In the SCDRS, lake sturgeon populations have been negatively affected by the loss/degradation of natural spawning habitat. To address habitat loss for lake sturgeon and other species, efforts are underway to restore spawning substrate by constructing artificial reefs. The main objective of this study was to conduct post-construction monitoring of lake sturgeon egg deposition and larval emergence near two of these artificial reefs: Fighting Island Reef (FIR) in the Detroit River, and Middle Channel Reef in the St. Clair River. An additional site in the St. Clair River where lake sturgeon spawn on a coal clinker bed was also investigated. From 2010 to 2012, viable eggs and larvae were collected from all of these reefs, indicating that conditions are suitable for egg deposition, incubation, and larval emergence. In the St. Clair River, the results indicate the likelihood of other spawning sites upstream of these artificial reef sites.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.12603","collaboration":"Emily K. Bouckaert; Nancy A. Auer;  James Boase","usgsCitation":"Bouckaert, E.K., Auer, N.A., Roseman, E., and Boase, J., 2014, Verifying success of artificial spawning reefs in the St. Clair-Detroit River System for lake sturgeon (<i>Acipenser fulvescens</i> Rafinesque, 1817): Journal of Applied Ichthyology, v. 30, no. 6, p. 1393-1401, https://doi.org/10.1111/jai.12603.","productDescription":"9 p.","startPage":"1393","endPage":"1401","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050306","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472799,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.12603","text":"Publisher Index Page"},{"id":297448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Detroit River, St. Clair River","volume":"30","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-24","publicationStatus":"PW","scienceBaseUri":"54dd2acae4b08de9379b320b","contributors":{"authors":[{"text":"Bouckaert, Emliy K.","contributorId":138589,"corporation":false,"usgs":false,"family":"Bouckaert","given":"Emliy","email":"","middleInitial":"K.","affiliations":[{"id":12453,"text":"Michigan Technological University, Department of Biology, Houghton, MI","active":true,"usgs":false}],"preferred":false,"id":537979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Auer, Nancy A.","contributorId":138854,"corporation":false,"usgs":false,"family":"Auer","given":"Nancy","email":"","middleInitial":"A.","affiliations":[{"id":12453,"text":"Michigan Technological University, Department of Biology, Houghton, MI","active":true,"usgs":false}],"preferred":false,"id":538967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":534,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":537978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boase, James","contributorId":138590,"corporation":false,"usgs":false,"family":"Boase","given":"James","email":"","affiliations":[{"id":12454,"text":"3USFWS Alpena National Fish and Wildlife Conservation Office, Waterford Substation, 7806 Gale Road, Waterford, MI 48327","active":true,"usgs":false}],"preferred":false,"id":537980,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70137759,"text":"70137759 - 2014 - Book review: Implementing the Endangered Species Act on the Platte Basin water commons","interactions":[],"lastModifiedDate":"2018-01-05T11:17:43","indexId":"70137759","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3580,"text":"The Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Implementing the Endangered Species Act on the Platte Basin water commons","docAbstract":"<p>The Platte River is a unique midcontinent ecosystem that is world-renowned for its natural resources, particularly the spectacular spring concentrations of migratory birds, such as sandhill cranes (<i>Grus canadensis</i>), ducks, and geese. The Platte River basin also provides habitat for four federally listed endangered or threatened species&mdash;interior least tern (<i>Sternula antillarum athalassos</i>), piping plover (<i>Charadrius melodus</i>), whooping crane (<i>G. americana</i>), and pallid sturgeon (<i>Scaphirhynchus albus</i>)&mdash;that require specific hydrological conditions in order for habitat to be suitable. Flows on the Platte River are subject to regulation by a number of dams, and it is heavily relied upon for irrigation in Colorado, Wyoming, and Nebraska. Accordingly, it also has become a political battleground for the simple reason that the demand for water exceeds supply. David Freeman&rsquo;s book takes a detailed look at water-use issues on the Platte River, focusing on how implementation of the Endangered Species Act influences decision-making about water allocations.&nbsp;</p>\n<p>Review info:&nbsp;<i>Implementing the Endangered Species Act on the Platte Basin Water Commons.</i>&nbsp;By David M. Freeman, 2010. ISBN: 978-1607320548, 483 pp.</p>","language":"English","publisher":"Great Plains Natural Science Society","usgsCitation":"Sherfy, M.H., 2014, Book review: Implementing the Endangered Species Act on the Platte Basin water commons: The Prairie Naturalist, v. 46, no. 1, p. 115-116.","productDescription":"2 p.","startPage":"115","endPage":"116","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059916","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":297227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297137,"type":{"id":15,"text":"Index Page"},"url":"https://www.sdstate.edu/nrm/organizations/gpnss/tpn/2014-volume-46.cfm"}],"volume":"46","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5be4b08de9379b3006","contributors":{"authors":[{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":538085,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70150433,"text":"70150433 - 2014 - Monitoring fish distributions along electrofishing segments","interactions":[],"lastModifiedDate":"2015-07-24T12:04:15","indexId":"70150433","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring fish distributions along electrofishing segments","docAbstract":"<p><span>Electrofishing is widely used to monitor fish species composition and relative abundance in streams and lakes. According to standard protocols, multiple segments are selected in a body of water to monitor population relative abundance as the ratio of total catch to total sampling&nbsp;effort. The standard protocol provides an assessment of fish distribution at a macrohabitat scale among segments, but not within segments. An ancillary protocol was developed for assessing fish distribution at a finer scale within electrofishing segments. The ancillary protocol was used to estimate spacing, dispersion, and association of two species along shore segments in two local reservoirs. The added information provided by the ancillary protocol may be useful for assessing fish distribution relative to fish of the same species, to fish of different species, and to environmental or habitat characteristics.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-014-4053-6","usgsCitation":"Miranda, L.E., 2014, Monitoring fish distributions along electrofishing segments: Environmental Monitoring and Assessment, v. 186, no. 12, p. 8899-8905, https://doi.org/10.1007/s10661-014-4053-6.","productDescription":"7 p.","startPage":"8899","endPage":"8905","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054281","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Oktibbeha County Lake; Ross Barnett Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.11260986328125,\n              32.35444302709291\n            ],\n            [\n              -90.11260986328125,\n              32.55144352864431\n            ],\n            [\n              -89.89837646484375,\n              32.55144352864431\n            ],\n            [\n              -89.89837646484375,\n              32.35444302709291\n            ],\n            [\n              -90.11260986328125,\n              32.35444302709291\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.95441055297852,\n              33.5004648191553\n            ],\n            [\n              -88.95441055297852,\n              33.5172111895567\n            ],\n            [\n              -88.92539978027344,\n              33.5172111895567\n            ],\n            [\n              -88.92539978027344,\n              33.5004648191553\n            ],\n            [\n              -88.95441055297852,\n              33.5004648191553\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"186","issue":"12","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-20","publicationStatus":"PW","scienceBaseUri":"55b361b3e4b09a3b01b5daad","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556876,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70150317,"text":"70150317 - 2014 - Impacts of drought and crayfish invasion on stream ecosystem structure and function","interactions":[],"lastModifiedDate":"2015-07-01T13:08:24","indexId":"70150317","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of drought and crayfish invasion on stream ecosystem structure and function","docAbstract":"<p><span>Drought and seasonal drying can be important disturbance events in many small streams, leading to intermittent or isolated habitats. Many small streams contain crayfish populations that are often keystone or dominant species in these systems. I conducted an experiment in stream mesocosms to examine the effects of drought and potential ecological redundancy of a native and invasive crayfish species. I examined the effects of drought (drought or control) and crayfish presence (none, native crayfish&nbsp;</span><i>Orconectes eupunctus</i><span>&nbsp;or invasive crayfish&nbsp;</span><i>Orconectes neglectus</i><span>) on stream mesocosm structure and function (leaf breakdown, community metabolism, periphyton, sediment and chironomid densities) in a fully factorial design. Each mesocosm contained a deep and shallow section, and drought treatments had surface water present (5-cm depth) in deep sections where tiles and leaf packs were placed. Drought and crayfish presence did not interact for any response variable. Drought significantly reduced leaf breakdown, and crayfish presence significantly increased leaf breakdown. However, the native and invasive crayfish species did not differ significantly in their effects on leaf breakdown. Drought significantly reduced primary production and community respiration overall, whereas crayfish presence did not significantly affect primary production and community respiration. Neither drought nor crayfish presence significantly affected periphyton overall. However, drought significantly reduced autotrophic index (AI), and crayfish presence increased AI. Inorganic sediment and chironomid density were not affected by drought, but both were significantly reduced by crayfish presence.&nbsp;</span><i>O.&thinsp;eupunctus</i><span>&nbsp;reduced AI and sediment more than&nbsp;</span><i>O.&thinsp;neglectus</i><span>&nbsp;did. Neither drought nor crayfish species significantly affected crayfish growth or survival. Drought can have strong effects on ecosystem function, but weaker effects on benthic structure. Crayfish can have strong effects on ecosystem structure and function regardless of drought. In stream mesocosms, native and invasive crayfish species appeared largely ecologically redundant, although subtle differences in crayfish effects could cascade throughout the food web, and further research is needed to address this question.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.2747","usgsCitation":"Magoulick, D.D., 2014, Impacts of drought and crayfish invasion on stream ecosystem structure and function: River Research and Applications, v. 30, no. 10, p. 1309-1317, https://doi.org/10.1002/rra.2747.","productDescription":"9 p.","startPage":"1309","endPage":"1317","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043564","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"10","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950f31e4b0b6d21dd6cbeb","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556704,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70138724,"text":"70138724 - 2014 - Drivers of waterfowl population dynamics: from teal to swans","interactions":[],"lastModifiedDate":"2015-01-21T15:12:25","indexId":"70138724","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of waterfowl population dynamics: from teal to swans","docAbstract":"<p><span>Waterfowl</span><span>&nbsp;are among the best studied and most extensively monitored species in the&nbsp;world. Given their global importance for sport and subsistence hunting, viewing and&nbsp;ecosystem functioning, great effort has been devoted since the middle part&nbsp;</span><span>of</span><span>&nbsp;the&nbsp;20th century&nbsp;</span><span>to</span><span>&nbsp;understanding both the environmental and demographic mechanisms&nbsp;that influence&nbsp;</span><span>waterfowl</span><span>&nbsp;</span><span>population</span><span>&nbsp;and community dynamics. Here we use&nbsp;comparative approaches&nbsp;</span><span>to</span><span>&nbsp;summarise and contrast our understanding&nbsp;</span><span>of</span><span>waterfowl</span><span>&nbsp;</span><span>population</span><span>&nbsp;dynamics across species as short-lived as the&nbsp;</span><span>teal</span><span>&nbsp;Anas discors and A.crecca&nbsp;</span><span>to</span><span>&nbsp;those such as the swans Cygnus sp. which have long life-spans. Specifically, we focus&nbsp;on&nbsp;</span><span>population</span><span>&nbsp;responses&nbsp;</span><span>to</span><span>&nbsp;vital rate perturbations across life history strategies,&nbsp;discuss bottom-up and top-down responses&nbsp;</span><span>of</span><span>&nbsp;</span><span>waterfowl</span><span>populations&nbsp;</span><span>to</span><span>&nbsp;global&nbsp;change, and summarise our current understanding&nbsp;</span><span>of</span><span>&nbsp;density dependence across&nbsp;</span><span>waterfowl</span><span>&nbsp;species. We close by identifying research needs and highlight ways&nbsp;</span><span>to</span><span>&nbsp;overcome the challenges&nbsp;</span><span>of</span><span>&nbsp;sustainably managing&nbsp;</span><span>waterfowl</span><span>&nbsp;populations in the 21st&nbsp;century.</span></p>","language":"English","publisher":"Wildfowl and Wetlands Trust","usgsCitation":"Koons, D.N., Gunnarsson, G., Schmutz, J.A., and Rotella, J.J., 2014, Drivers of waterfowl population dynamics: from teal to swans: Wildfowl, no. Special Issue 4, p. 169-191.","productDescription":"23 p.","startPage":"169","endPage":"191","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052740","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297435,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2606"}],"issue":"Special Issue 4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a6de4b08de9379b3057","contributors":{"authors":[{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":538939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gunnarsson, Gunnar","contributorId":138846,"corporation":false,"usgs":false,"family":"Gunnarsson","given":"Gunnar","email":"","affiliations":[],"preferred":false,"id":538940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":538941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70138723,"text":"70138723 - 2014 - Waterfowl habitat use and selection during the remigial moult period in the northern hemisphere","interactions":[],"lastModifiedDate":"2015-01-22T11:36:18","indexId":"70138723","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl habitat use and selection during the remigial moult period in the northern hemisphere","docAbstract":"<p><span>This paper reviews factors affecting site selection amongst waterfowl (Anatidae)&nbsp;during the flightless remigial moult, emphasising the roles of predation and food&nbsp;supply (especially protein and energy). The current literature suggests survival during&nbsp;flightless moult is at least as high as at other times of the annual cycle, but documented&nbsp;cases of predation of flightless waterfowl under particular conditions lead us to infer&nbsp;that habitat selection is generally highly effective in mitigating or avoiding predation.&nbsp;High energetic costs of feather replacement and specific amino-acid requirements for&nbsp;their construction imply adoption of special energetic and nutritional strategies at a&nbsp;time when flightlessness limits movements. Some waterfowl meet their energy needs&nbsp;from endogenous stores accumulated prior to remigial moult, others rely on&nbsp;exogenous supply, but this varies with species, age, reproductive status and site.&nbsp;Limited evidence suggests feather proteins are derived from endogenous and&nbsp;exogenous sources which may affect site selection. Remigial moult does not occur&nbsp;independently of other annual cycle events and is affected by reproductive investment&nbsp;and success. Hence, moult strategies are affected by age, sex and reproductive history,&nbsp;and may be influenced by the need to attain a certain internal state for the next stage&nbsp;in the annual cycle (e.g. autumn migration). We know little about habitat selection&nbsp;during moult and urge more research of this poorly known part of the annual cycle,&nbsp;with particular emphasis on identifying key concentrations and habitats for specific&nbsp;flyway populations and the effects of disturbance upon these. This knowledge will&nbsp;better inform conservation actions and management actions concerning waterfowl&nbsp;during moult and the habitats that they exploit.</span></p>","language":"English","publisher":"Wildfowl & Wetlands Trust","usgsCitation":"Fox, A.D., Flint, P.L., Hohman, W.L., and Savard, J.L., 2014, Waterfowl habitat use and selection during the remigial moult period in the northern hemisphere: Wildfowl, no. 4, p. 131-168.","productDescription":"38 p.","startPage":"131","endPage":"168","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050972","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297434,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2605/0"}],"issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2acfe4b08de9379b3219","contributors":{"authors":[{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":538888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hohman, William L.","contributorId":73141,"corporation":false,"usgs":false,"family":"Hohman","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":538889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savard, Jean-Pierre L.","contributorId":101776,"corporation":false,"usgs":false,"family":"Savard","given":"Jean-Pierre","email":"","middleInitial":"L.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":538890,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144518,"text":"70144518 - 2014 - Temporal and spatial changes in golden eagle reproduction in relation to increased off highway vehicle activity","interactions":[],"lastModifiedDate":"2018-09-18T16:17:18","indexId":"70144518","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial changes in golden eagle reproduction in relation to increased off highway vehicle activity","docAbstract":"<p><span>We used &gt;40 years of data on golden eagles (</span><i>Aquila chrysaetos</i><span>) nesting in southwestern Idaho, USA, to assess whether the proportion of territories and pairs producing young has changed over time, and whether territories in areas where off highway vehicle (OHV) use has increased significantly were less likely to be productive than those in areas that continued to have little or no motorized recreation. The proportion of territories that produced young was similar across southwestern Idaho from the late 1960s to 1999. After a dramatic increase in OHV use from 1999 to 2009, occupancy and success of territories in close proximity to recreational trails and parking areas declined, and the proportion of these territories producing young differed significantly from territories not impacted by OHVs. We could not pinpoint which types of motorized activity are most disturbing, nor could we identify disturbance thresholds at which eagles abandon their eggs, their young, and finally their territory. Timing, proximity, duration, and frequency of disturbance could all play a role. &copy; 2014 The Wildlife Society.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.451","usgsCitation":"Steenhof, K., Brown, J.L., and Kochert, M.N., 2014, Temporal and spatial changes in golden eagle reproduction in relation to increased off highway vehicle activity: Wildlife Society Bulletin, v. 38, no. 4, p. 682-688, https://doi.org/10.1002/wsb.451.","productDescription":"7 p.","startPage":"682","endPage":"688","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053499","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":499899,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/3b673162db474e6fa1251ea6a8b396a9","text":"External Repository"},{"id":299203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.63635253906249,\n              42.58544425738491\n            ],\n            [\n              -116.63635253906249,\n              43.32118142926663\n            ],\n            [\n              -115.697021484375,\n              43.32118142926663\n            ],\n            [\n              -115.697021484375,\n              42.58544425738491\n            ],\n            [\n              -116.63635253906249,\n              42.58544425738491\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bc52ee4b0323842783a57","chorus":{"doi":"10.1002/wsb.451","url":"http://dx.doi.org/10.1002/wsb.451","publisher":"Wiley-Blackwell","authors":"Steenhof Karen, Brown Jessi L., Kochert Michael N.","journalName":"Wildlife Society Bulletin","publicationDate":"7/1/2014","auditedOn":"2/8/2015"},"contributors":{"authors":[{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":30585,"corporation":false,"usgs":true,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":543676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jessi L.","contributorId":44817,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","email":"","middleInitial":"L.","affiliations":[{"id":13184,"text":"Program in Ecology, Evolution and Conservation Biology, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":543677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":543675,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148080,"text":"70148080 - 2014 - The role of citizen science in bird conservation: The Christmas Bird Count and Breeding Bird Survey","interactions":[],"lastModifiedDate":"2016-12-14T09:49:06","indexId":"70148080","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":696,"text":"All Bird Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The role of citizen science in bird conservation: The Christmas Bird Count and Breeding Bird Survey","docAbstract":"<p>Many birders in the United States, Canada, and Mexico are critical participants in bird monitoring and conservation activities. This linkage between recreational birders and avian conservation surveys is not new. It was established long before the internet and long before any fast communication facilitated the connection of birders to scientists. It started because a few key individuals realized that birding with a purpose added a new and important dimension to a recreational activity—and birders loved the idea that they were helping to study and conserve the birds they watch. And they still do today. </p>","language":"English","publisher":"North American Bird Conservation Initiative","usgsCitation":"Sauer, J.R., and Butcher, G.S., 2014, The role of citizen science in bird conservation: The Christmas Bird Count and Breeding Bird Survey: All Bird Bulletin, no. Fall 2014, p. 3-6.","productDescription":"4 p.","startPage":"3","endPage":"6","ipdsId":"IP-059169","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":300515,"type":{"id":15,"text":"Index Page"},"url":"https://nabci-us.org/committee/all-bird-bulletin/"}],"issue":"Fall 2014","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d13a41e4b0571647cf8e35","contributors":{"authors":[{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":138949,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":547194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butcher, Gregory S.","contributorId":140856,"corporation":false,"usgs":false,"family":"Butcher","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":6762,"text":"U.S. Forest Service, La Grande, Oregon","active":true,"usgs":false}],"preferred":false,"id":547195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155253,"text":"70155253 - 2014 - Understanding recent eastern Horn of Africa rainfall variability and change","interactions":[],"lastModifiedDate":"2018-03-23T13:50:22","indexId":"70155253","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Understanding recent eastern Horn of Africa rainfall variability and change","docAbstract":"<p>Observations and sea surface temperature (SST)-forced ECHAM5 simulations are examined to study the seasonal cycle of eastern Africa rainfall and its SST sensitivity during 1979&ndash;2012, focusing on interannual variability and trends. The eastern Horn is drier than the rest of equatorial Africa, with two distinct wet seasons, and whereas the October&ndash;December wet season has become wetter, the March&ndash;May season has become drier.</p>\n<p>The climatological rainfall in simulations driven by observed SSTs captures this bimodal regime. The simulated trends also qualitatively reproduce the opposite-sign changes in the two rainy seasons, suggesting that SST forcing has played an important role in the observed changes. The consistency between the sign of 1979&ndash;2012 trends and interannual SST&ndash;precipitation correlations is exploited to identify the most likely locations of SST forcing of precipitation trends in the model, and conceivably also in nature. Results indicate that the observed March&ndash;May drying since 1979 is due to sensitivity to an increased zonal gradient in SST between Indonesia and the central Pacific. In contrast, the October&ndash;December precipitation increase is mostly due to western Indian Ocean warming.</p>\n<p class=\"last\">The recent upward trend in the October&ndash;December wet season is rather weak, however, and its statistical significance is compromised by strong year-to-year fluctuations. October&ndash;December eastern Horn rain variability is strongly associated with El Ni&ntilde;o&ndash;Southern Oscillation and Indian Ocean dipole phenomena on interannual scales, in both model and observations. The interannual October&ndash;December correlation between the ensemble-average and observed Horn rainfall 0.87. By comparison, interannual March&ndash;May Horn precipitation is only weakly constrained by SST anomalies.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JCLI-D-13-00714.1","usgsCitation":"Liebmann, B., Hoerling, M.P., Funk, C.C., Blade, I., Dole, R.M., Allured, D., Quan, X., and Eischeid, J.K., 2014, Understanding recent eastern Horn of Africa rainfall variability and change: Journal of Climate, v. 27, p. 8660-8645, https://doi.org/10.1175/JCLI-D-13-00714.1.","productDescription":"16 p.","startPage":"8660","endPage":"8645","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056089","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472804,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jcli-d-13-00714.1","text":"Publisher Index Page"},{"id":306510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Horn of Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              40.166015625,\n              -2.811371193331128\n            ],\n            [\n              42.275390625,\n              -0.7031073524364783\n            ],\n            [\n              48.69140625,\n              5.266007882805511\n            ],\n            [\n              51.064453125,\n              10.487811882056683\n            ],\n            [\n              50.9765625,\n              12.21118019150401\n            ],\n            [\n              49.21875,\n              11.60919340793894\n            ],\n            [\n              46.93359375,\n            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PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-05","publicationStatus":"PW","scienceBaseUri":"57f7f023e4b0bc0bec09f59a","contributors":{"authors":[{"text":"Liebmann, Brant","contributorId":145807,"corporation":false,"usgs":false,"family":"Liebmann","given":"Brant","email":"","affiliations":[{"id":16238,"text":"NOAA Earth Systems Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":565379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoerling, Martin P.","contributorId":145817,"corporation":false,"usgs":false,"family":"Hoerling","given":"Martin","email":"","middleInitial":"P.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":565380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blade, Ileana","contributorId":145806,"corporation":false,"usgs":false,"family":"Blade","given":"Ileana","email":"","affiliations":[{"id":16237,"text":"Institut Catala de Ciencies del Clima","active":true,"usgs":false}],"preferred":false,"id":567573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dole, Randall M.","contributorId":146364,"corporation":false,"usgs":false,"family":"Dole","given":"Randall","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":567574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allured, Dave","contributorId":146365,"corporation":false,"usgs":false,"family":"Allured","given":"Dave","email":"","affiliations":[],"preferred":false,"id":567575,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Quan, Xiaowei","contributorId":146366,"corporation":false,"usgs":false,"family":"Quan","given":"Xiaowei","affiliations":[],"preferred":false,"id":567576,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eischeid, Jon K.","contributorId":70214,"corporation":false,"usgs":true,"family":"Eischeid","given":"Jon","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":567577,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70189809,"text":"70189809 - 2014 - Paleogeomorphology of the early Colorado River inferred from relationships in Mohave and Cottonwood Valleys, Arizona, California and Nevada","interactions":[],"lastModifiedDate":"2017-07-26T15:40:00","indexId":"70189809","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Paleogeomorphology of the early Colorado River inferred from relationships in Mohave and Cottonwood Valleys, Arizona, California and Nevada","docAbstract":"<p><span>Geologic investigations of late Miocene–early Pliocene deposits in Mohave and Cottonwood valleys provide important insights into the early evolution of the lower Colorado River system. In the latest Miocene these valleys were separate depocenters; the floor of Cottonwood Valley was ∼200 m higher than the floor of Mohave Valley. When Colorado River water arrived from the north after 5.6 Ma, a shallow lake in Cottonwood Valley spilled into Mohave Valley, and the river then filled both valleys to ∼560 m above sea level (asl) and overtopped the bedrock divide at the southern end of Mohave Valley. Sediment-starved water spilling to the south gradually eroded the outlet as siliciclastic Bouse deposits filled the lake upstream. When sediment accumulation reached the elevation of the lowering outlet, continued erosion of the outlet resulted in recycling of stored lacustrine sediment into downstream basins; depth of erosion of the outlet and upstream basins was limited by the water levels in downstream basins. The water level in the southern Bouse basin was ∼300 m asl (modern elevation) at 4.8 Ma. It must have drained and been eroded to a level &lt;150 m asl soon after that to allow for deep erosion of bedrock divides and basins upstream, leading to removal of large volumes of Bouse sediment prior to massive early Pliocene Colorado River aggradation. Abrupt lowering of regional base level due to spilling of a southern Bouse lake to the Gulf of California could have driven observed upstream river incision without uplift. Rapid uplift of the entire region immediately after 4.8 Ma would have been required to drive upstream incision if the southern Bouse was an estuary.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00988.1","usgsCitation":"Pearthree, P., and House, K., 2014, Paleogeomorphology of the early Colorado River inferred from relationships in Mohave and Cottonwood Valleys, Arizona, California and Nevada: Geosphere, v. 10, no. 6, p. 1139-1160, https://doi.org/10.1130/GES00988.1.","productDescription":"22 p.","startPage":"1139","endPage":"1160","ipdsId":"IP-053171","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00988.1","text":"Publisher Index Page"},{"id":344345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Colorado River, Cottonwood Valley, Mohave Valley","volume":"10","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-12","publicationStatus":"PW","scienceBaseUri":"5979aa56e4b0ec1a488b8c19","contributors":{"authors":[{"text":"Pearthree, Philip","contributorId":195166,"corporation":false,"usgs":false,"family":"Pearthree","given":"Philip","affiliations":[],"preferred":false,"id":706436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":706435,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70140709,"text":"70140709 - 2014 - Characterizing riverbed sediment using high-frequency acoustics 2: scattering signatures of Colorado River bed sediment in Marble and Grand Canyons","interactions":[],"lastModifiedDate":"2015-02-12T11:10:07","indexId":"70140709","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","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":"Characterizing riverbed sediment using high-frequency acoustics 2: scattering signatures of Colorado River bed sediment in Marble and Grand Canyons","docAbstract":"<p>In this, the second of a pair of papers on the statistical signatures of riverbed sediment in high-frequency acoustic backscatter, spatially explicit maps of the stochastic geometries (length- and amplitude-scales) of backscatter are related to patches of riverbed surfaces composed of known sediment types, as determined by geo-referenced underwater video observations. Statistics of backscatter magnitudes alone are found to be poor discriminators between sediment types. However, the variance of the power spectrum, and the intercept and slope from a power-law spectral form (termed the spectral strength and exponent, respectively) successfully discriminate between sediment types. A decision-tree approach was able to classify spatially heterogeneous patches of homogeneous sands, gravels (and sand-gravel mixtures), and cobbles/boulders with 95, 88, and 91% accuracy, respectively. Application to sites outside the calibration, and surveys made at calibration sites at different times, were plausible based on observations from underwater video. Analysis of decision trees built with different training data sets suggested that the spectral exponent was consistently the most important variable in the classification. In the absence of theory concerning how spatially variable sediment surfaces scatter high-frequency sound, the primary advantage of this data-driven approach to classify bed sediment over alternatives is that spectral methods have well understood properties and make no assumptions about the distributional form of the fluctuating component of backscatter over small spatial scales.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JF003191","usgsCitation":"Buscombe, D.D., Grams, P.E., and Kaplinski, M.A., 2014, Characterizing riverbed sediment using high-frequency acoustics 2: scattering signatures of Colorado River bed sediment in Marble and Grand Canyons: Journal of Geophysical Research F: Earth Surface, v. 119, no. 12, p. 2692-2710, https://doi.org/10.1002/2014JF003191.","productDescription":"19 p.","startPage":"2692","endPage":"2710","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056184","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jf003191","text":"Publisher Index Page"},{"id":297948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon, Marble Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.82409667968749,\n              35.733136223133926\n            ],\n            [\n              -112.82409667968749,\n              36.99377838872517\n            ],\n            [\n              -111.3848876953125,\n              36.99377838872517\n            ],\n            [\n              -111.3848876953125,\n              35.733136223133926\n            ],\n            [\n              -112.82409667968749,\n              35.733136223133926\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-19","publicationStatus":"PW","scienceBaseUri":"54dd2a5de4b08de9379b3012","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaplinski, Matthew A.","contributorId":139210,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":540358,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70141076,"text":"70141076 - 2014 - Coastal fog, climate change, and the environment","interactions":[],"lastModifiedDate":"2015-04-03T14:18:06","indexId":"70141076","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Coastal fog, climate change, and the environment","docAbstract":"<p><span>Coastal marine fog, a characteristic feature of climates generated at the eastern boundaries of ocean basins worldwide, evokes different feelings in those who experience it (see Figure&nbsp;1). Authors and poets use fog to represent mystery, bleakness, and confusion. Film directors seek out fog to shroud scenes in eerie gloominess. Tourists visiting beaches bemoan the cool and damp conditions that create a striking contrast to the sunny warm conditions typically found less than a few kilometers inland. Airline passengers delayed by fog impatiently wait for the skies to clear. Residents get used to the Sun &ldquo;rising&rdquo; in midday after fog dissipates.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2014EO500001","usgsCitation":"Torregrosa, A.A., O’Brien, T.A., and Faloona, I.C., 2014, Coastal fog, climate change, and the environment: Eos, Transactions, American Geophysical Union, v. 95, no. 50, p. 473-474, https://doi.org/10.1002/2014EO500001.","productDescription":"2 p.","startPage":"473","endPage":"474","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058114","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472621,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/9db6d6v7","text":"External Repository"},{"id":299362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"50","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-16","publicationStatus":"PW","scienceBaseUri":"551fb9b3e4b027f0aee3bb01","contributors":{"authors":[{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":540542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, Travis A.","contributorId":139259,"corporation":false,"usgs":false,"family":"O’Brien","given":"Travis","email":"","middleInitial":"A.","affiliations":[{"id":12710,"text":"Lawrence Berkeley Lab, Earth Science Division","active":true,"usgs":false}],"preferred":false,"id":540543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faloona, Ian C.","contributorId":139260,"corporation":false,"usgs":false,"family":"Faloona","given":"Ian","email":"","middleInitial":"C.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":540544,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70170849,"text":"70170849 - 2014 - Fate of injected CO2 in the Wilcox Group, Louisiana, Gulf Coast Basin: Chemical and isotopic tracers of microbial–brine–rock–CO2 interactions","interactions":[],"lastModifiedDate":"2018-02-01T12:46:38","indexId":"70170849","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Fate of injected CO<sub>2</sub> in the Wilcox Group, Louisiana, Gulf Coast Basin: Chemical and isotopic tracers of microbial-brine-rock-CO<sub>2</sub> interactions","title":"Fate of injected CO2 in the Wilcox Group, Louisiana, Gulf Coast Basin: Chemical and isotopic tracers of microbial–brine–rock–CO2 interactions","docAbstract":"<p><span>The &ldquo;2800&rsquo; sandstone&rdquo; of the Olla oil field is an oil and gas-producing reservoir in a coal-bearing interval of the Paleocene&ndash;Eocene Wilcox Group in north-central Louisiana, USA. In the 1980s, this producing unit was flooded with CO</span><sub>2</sub><span>&nbsp;in an enhanced oil recovery (EOR) project, leaving &sim;30% of the injected CO</span><sub>2</sub><span>&nbsp;in the 2800&rsquo; sandstone post-injection. This study utilizes isotopic and geochemical tracers from co-produced natural gas, oil and brine to determine the fate of the injected CO</span><sub>2</sub><span>, including the possibility of enhanced microbial conversion of CO</span><sub>2</sub><span>&nbsp;to CH</span><sub>4</sub><span>&nbsp;via methanogenesis. Stable carbon isotopes of CO</span><sub>2</sub><span>, CH</span><sub>4</sub><span>&nbsp;and DIC, together with mol% CO</span><sub>2</sub><span>&nbsp;show that 4 out of 17 wells sampled in the 2800&rsquo; sandstone are still producing injected CO</span><sub>2</sub><span>. The dominant fate of the injected CO</span><sub>2</sub><span>appears to be dissolution in formation fluids and gas-phase trapping. There is some isotopic and geochemical evidence for enhanced microbial methanogenesis in 2 samples; however, the CO</span><sub>2</sub><span>&nbsp;spread unevenly throughout the reservoir, and thus cannot explain the elevated indicators for methanogenesis observed across the entire field. Vertical migration out of the target 2800&rsquo; sandstone reservoir is also apparent in 3 samples located stratigraphically above the target sand. Reservoirs comparable to the 2800&rsquo; sandstone, located along a 90-km transect, were also sampled to investigate regional trends in gas composition, brine chemistry and microbial activity. Microbial methane, likely sourced from biodegradation of organic substrates within the formation, was found in all oil fields sampled, while indicators of methanogenesis (e.g. high alkalinity, &delta;</span><sup>13</sup><span>C-CO</span><sub>2</sub><span>&nbsp;and &delta;</span><sup>13</sup><span>C-DIC values) and oxidation of propane were greatest in the Olla Field, likely due to its more ideal environmental conditions (i.e. suitable range of pH, temperature, salinity, sulfate and iron concentrations).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.09.015","usgsCitation":"Shelton, J., McIntosh, J.C., Warwick, P.D., and Lee Zhi Yi, A., 2014, Fate of injected CO2 in the Wilcox Group, Louisiana, Gulf Coast Basin: Chemical and isotopic tracers of microbial–brine–rock–CO2 interactions: Applied Geochemistry, v. 51, p. 155-169, https://doi.org/10.1016/j.apgeochem.2014.09.015.","productDescription":"15 p.","startPage":"155","endPage":"169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049302","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":320987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.70263671874999,\n              31.019986671412497\n            ],\n            [\n              -92.70263671874999,\n              32.03602003973757\n            ],\n            [\n              -91.658935546875,\n              32.03602003973757\n            ],\n            [\n              -91.658935546875,\n              31.019986671412497\n            ],\n            [\n              -92.70263671874999,\n              31.019986671412497\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"572c6eaee4b09acee7535b77","contributors":{"authors":[{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":628812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Jennifer C.","contributorId":139870,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":13301,"text":"Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":628813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":628814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee Zhi Yi, Amelia","contributorId":169185,"corporation":false,"usgs":false,"family":"Lee Zhi Yi","given":"Amelia","email":"","affiliations":[{"id":6651,"text":"Bryn Mawr College, Bryn Mawr, PA","active":true,"usgs":false}],"preferred":false,"id":628815,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196600,"text":"70196600 - 2014 - Layered hydrothermal barite-sulfide mound field, East Diamante Caldera, Mariana volcanic arc","interactions":[],"lastModifiedDate":"2018-06-27T15:58:46","indexId":"70196600","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Layered hydrothermal barite-sulfide mound field, East Diamante Caldera, Mariana volcanic arc","docAbstract":"<p>East Diamante is a submarine volcano in the southern Mariana arc that is host to a complex caldera ~5 × 10 km (elongated ENE-WSW) that is breached along its northern and southwestern sectors. A large field of barite-sulfide mounds was discovered in June 2009 and revisited in July 2010 with the R/V<span>&nbsp;</span><i>Natsushima</i>, using the ROV<span>&nbsp;</span><i>Hyper-Dolphin</i>. The mound field occurs on the northeast flank of a cluster of resurgent dacite domes in the central caldera, near an active black smoker vent field. A<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar age of 20,000 ± 4000 years was obtained from a dacite sample. The mound field is aligned along a series of fractures and extends for more than 180 m east-west and &gt;120 m north-south. Individual mounds are typically 1 to 3 m tall and 0.5 to 2 m wide, with lengths from about 3 to 8 m. The mounds are dominated by barite + sphalerite layers with the margins of each layer composed of barite with disseminated sulfides. Rare, inactive spires and chimneys sit atop some mounds and also occur as clusters away from the mounds. Iron and Mn oxides are currently forming small (&lt;1-m diam, ~0.5-m tall) knolls on the top surface of some of the barite-sulfide mounds and may also drape their flanks. Both diffusely and focused fluids emanate from the small oxide knolls. Radiometric ages of the layered barite-sulfide mounds and chimneys vary from ~3,920 to 3,350 years. One layer, from an outcrop of 10- to 100-cm-thick Cu-rich layers, is notably younger with an age of 2,180 years. The Fe-Mn oxides were &lt;5 years old at the time of collection in 2009.</p><p>Most mound, chimney, and layered outcrop samples are dominated by barite, silica, and sphalerite; other sulfides, in decreasing order of abundance, are galena, chalcopyrite, and rare pyrite. Anglesite, cerussite, and unidentified Pb oxychloride and Pb phosphate minerals occur as late-stage interstitial phases. The samples contain high Zn (up to 23 wt %), Pb (to 16 wt %), Ag (to 487 ppm), and Au (to 19 ppm) contents. Some layered outcrop samples are dominated by chalcopyrite resulting in ≤4.78 wt % Cu in a bulk sample (28 wt % for a single lens), with a mean of 0.28 wt % for other samples. Other significant metal enrichments are Sb (to 1,320 ppm), Cd (to 1,150 ppm), and Hg (to 55 ppm).</p><p>The East Diamante mound field has a unique set of characteristics compared to other hydrothermal sites in the Mariana arc and elsewhere. The geochemical differences may predominantly reflect the distribution of fractures and faults and consequently the rock/water ratio, temperature of the fluid in the upper parts of the circulation system, and extensive and prolonged mixing with seawater. The location of mineralization is controlled by fractures. Following resurgent doming within the caldera, mineralization resulted from focused flow along small segments of linear fractures rather than from a point source, typical of hydrothermal chimney fields. Based on the mineral assemblage, the maximum fluid temperatures were ~260°C, near the boiling point for the water depths of the mound field (367–406 m). Lateral fluid flow within the mounds precipitated interstitial sphalerite, silica, and Pb minerals within a network of barite with disseminated sulfides; silica was the final phase to precipitate. The current low-temperature precipitation of Fe and Mn oxides and silica may represent rejuvenation of the system.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.109.8.2179","usgsCitation":"Hein, J.R., de Ronde, C.E., Koski, R.A., Ditchburn, R.G., Mizell, K., Tamura, Y., Stern, R.J., Conrad, T., Ishizuka, O., and Leybourne, M.I., 2014, Layered hydrothermal barite-sulfide mound field, East Diamante Caldera, Mariana volcanic arc: Economic Geology, v. 109, no. 8, p. 2179-2206, https://doi.org/10.2113/econgeo.109.8.2179.","productDescription":"28 p.","startPage":"2179","endPage":"2206","ipdsId":"IP-049293","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":353613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-10-30","publicationStatus":"PW","scienceBaseUri":"5afeed73e4b0da30c1bfc708","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":2828,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":733756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Ronde, Cornel E. J.","contributorId":98109,"corporation":false,"usgs":true,"family":"de Ronde","given":"Cornel","email":"","middleInitial":"E. J.","affiliations":[],"preferred":false,"id":733757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koski, Randolph A. rkoski@usgs.gov","contributorId":2949,"corporation":false,"usgs":true,"family":"Koski","given":"Randolph","email":"rkoski@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":733758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ditchburn, Robert G.","contributorId":204359,"corporation":false,"usgs":false,"family":"Ditchburn","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":733759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tamura, Yoshihiko","contributorId":204360,"corporation":false,"usgs":false,"family":"Tamura","given":"Yoshihiko","email":"","affiliations":[],"preferred":false,"id":733761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stern, Robert J.","contributorId":204361,"corporation":false,"usgs":false,"family":"Stern","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":733762,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Conrad, Tracey tconrad@usgs.gov","contributorId":5021,"corporation":false,"usgs":true,"family":"Conrad","given":"Tracey","email":"tconrad@usgs.gov","affiliations":[],"preferred":true,"id":733763,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ishizuka, Osamu","contributorId":204362,"corporation":false,"usgs":false,"family":"Ishizuka","given":"Osamu","affiliations":[],"preferred":false,"id":733764,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leybourne, Matthew I.","contributorId":204363,"corporation":false,"usgs":false,"family":"Leybourne","given":"Matthew","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":733765,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70192528,"text":"70192528 - 2014 - What do we gain from simplicity versus complexity in species distribution models?","interactions":[],"lastModifiedDate":"2017-10-26T13:28:48","indexId":"70192528","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"What do we gain from simplicity versus complexity in species distribution models?","docAbstract":"<p><span>Species distribution models (SDMs) are widely used to explain and predict species ranges and environmental niches. They are most commonly constructed by inferring species' occurrence–environment relationships using statistical and machine-learning methods. The variety of methods that can be used to construct SDMs (e.g. generalized linear/additive models, tree-based models, maximum entropy, etc.), and the variety of ways that such models can be implemented, permits substantial flexibility in SDM complexity. Building models with an appropriate amount of complexity for the study objectives is critical for robust inference. We characterize complexity as the shape of the inferred occurrence–environment relationships and the number of parameters used to describe them, and search for insights into whether additional complexity is informative or superfluous. By building ‘under fit’ models, having insufficient flexibility to describe observed occurrence–environment relationships, we risk misunderstanding the factors shaping species distributions. By building ‘over fit’ models, with excessive flexibility, we risk inadvertently ascribing pattern to noise or building opaque models. However, model selection can be challenging, especially when comparing models constructed under different modeling approaches. Here we argue for a more pragmatic approach: researchers should constrain the complexity of their models based on study objective, attributes of the data, and an understanding of how these interact with the underlying biological processes. We discuss guidelines for balancing under fitting with over fitting and consequently how complexity affects decisions made during model building. Although some generalities are possible, our discussion reflects differences in opinions that favor simpler versus more complex models. We conclude that combining insights from both simple and complex SDM building approaches best advances our knowledge of current and future species ranges.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.00845","usgsCitation":"Merow, C., Smith, M.J., Edwards, T., Guisan, A., McMahon, S.M., Normand, S., Thuiller, W., Wuest, R.O., Zimmermann, N.E., and Elith, J., 2014, What do we gain from simplicity versus complexity in species distribution models?: Ecography, v. 37, no. 12, p. 1267-1281, https://doi.org/10.1111/ecog.00845.","productDescription":"15 p.","startPage":"1267","endPage":"1281","ipdsId":"IP-055634","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472622,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ecog.00845","text":"External Repository"},{"id":347474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-16","publicationStatus":"PW","scienceBaseUri":"5a07ece2e4b09af898c8cd32","contributors":{"authors":[{"text":"Merow, Cory","contributorId":198540,"corporation":false,"usgs":false,"family":"Merow","given":"Cory","email":"","affiliations":[],"preferred":false,"id":716369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Matthew J.","contributorId":61701,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guisan, Antoine","contributorId":47943,"corporation":false,"usgs":true,"family":"Guisan","given":"Antoine","email":"","affiliations":[],"preferred":false,"id":716371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Sean M. 0000-0001-8302-6908","orcid":"https://orcid.org/0000-0001-8302-6908","contributorId":197833,"corporation":false,"usgs":false,"family":"McMahon","given":"Sean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Normand, Signe","contributorId":30545,"corporation":false,"usgs":true,"family":"Normand","given":"Signe","email":"","affiliations":[],"preferred":false,"id":716373,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thuiller, Wilfried","contributorId":38059,"corporation":false,"usgs":true,"family":"Thuiller","given":"Wilfried","email":"","affiliations":[],"preferred":false,"id":716374,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wuest, Rafael O.","contributorId":198544,"corporation":false,"usgs":false,"family":"Wuest","given":"Rafael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":716375,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zimmermann, Niklaus E.","contributorId":68446,"corporation":false,"usgs":true,"family":"Zimmermann","given":"Niklaus","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716376,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elith, Jane","contributorId":14546,"corporation":false,"usgs":true,"family":"Elith","given":"Jane","email":"","affiliations":[],"preferred":false,"id":716377,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70176408,"text":"70176408 - 2014 - Comparison of the physical and geotechnical properties of gas-hydrate-bearing sediments from offshore India and other gas-hydrate-reservoir systems","interactions":[],"lastModifiedDate":"2016-09-13T09:18:07","indexId":"70176408","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2382,"text":"Journal of Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of the physical and geotechnical properties of gas-hydrate-bearing sediments from offshore India and other gas-hydrate-reservoir systems","docAbstract":"<p id=\"abspara0010\">The sediment characteristics of hydrate-bearing reservoirs profoundly affect the formation, distribution, and morphology of gas hydrate. The presence and type of gas, porewater chemistry, fluid migration, and subbottom temperature may govern the hydrate formation process, but it is the host sediment that commonly dictates final hydrate habit, and whether hydrate may be economically developed.</p><p id=\"abspara0015\">In this paper, the physical properties of hydrate-bearing regions offshore eastern India (Krishna-Godavari and Mahanadi Basins) and the Andaman Islands, determined from Expedition NGHP-01 cores, are compared to each other, well logs, and published results of other hydrate reservoirs. Properties from the hydrate-free Kerala-Konkan basin off the west coast of India are also presented. Coarser-grained reservoirs (permafrost-related and marine) may contain high gas-hydrate-pore saturations, while finer-grained reservoirs may contain low-saturation disseminated or more complex gas-hydrates, including nodules, layers, and high-angle planar and rotational veins. However, even in these fine-grained sediments, gas hydrate preferentially forms in coarser sediment or fractures, when present. The presence of hydrate in conjunction with other geologic processes may be responsible for sediment porosity being nearly uniform for almost 500&nbsp;m off the Andaman Islands.</p><p id=\"abspara0020\">Properties of individual NGHP-01 wells and regional trends are discussed in detail. However, comparison of marine and permafrost-related Arctic reservoirs provides insight into the inter-relationships and common traits between physical properties and the morphology of gas-hydrate reservoirs regardless of location. Extrapolation of properties from one location to another also enhances our understanding of gas-hydrate reservoir systems. Grain size and porosity effects on permeability are critical, both locally to trap gas and regionally to provide fluid flow to hydrate reservoirs. Index properties corroborate more advanced consolidation and triaxial strength test results and can be used for predicting behavior in other NGHP-01 regions. Pseudo-overconsolidation is present near the seafloor and is underlain by underconsolidation at depth at some NGHP-01 locations.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2014.07.024","usgsCitation":"Winters, W.J., Wilcox-Cline, R., Long, P., Dewri, S., Kumar, P., Stern, L.A., and Kerr, L.A., 2014, Comparison of the physical and geotechnical properties of gas-hydrate-bearing sediments from offshore India and other gas-hydrate-reservoir systems: Journal of Marine and Petroleum Geology, v. 58, no. A, p. 139-167, https://doi.org/10.1016/j.marpetgeo.2014.07.024.","productDescription":"29 p.","startPage":"139","endPage":"167","ipdsId":"IP-057504","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2014.07.024","text":"Publisher Index Page"},{"id":328583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              65,\n              5\n            ],\n            [\n              65,\n              20\n            ],\n            [\n              100,\n              20\n            ],\n            [\n              100,\n              5\n            ],\n            [\n              65,\n              5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"A","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d92332e4b090824ffa1a40","contributors":{"authors":[{"text":"Winters, William J. bwinters@usgs.gov","contributorId":522,"corporation":false,"usgs":true,"family":"Winters","given":"William","email":"bwinters@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcox-Cline, R.W.","contributorId":174579,"corporation":false,"usgs":false,"family":"Wilcox-Cline","given":"R.W.","email":"","affiliations":[{"id":100,"text":"AASG National Geologic Map Database Project","active":false,"usgs":true}],"preferred":false,"id":648636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, P.","contributorId":8628,"corporation":false,"usgs":true,"family":"Long","given":"P.","email":"","affiliations":[],"preferred":false,"id":648637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewri, S.K.","contributorId":174580,"corporation":false,"usgs":false,"family":"Dewri","given":"S.K.","email":"","affiliations":[{"id":27472,"text":"Oil and Natural Gas Corporation Ltd., ONGC Complex, Phase 2, Panvel – 410 221, Navi-Mumbai, India","active":true,"usgs":false}],"preferred":false,"id":648638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, P.","contributorId":45476,"corporation":false,"usgs":true,"family":"Kumar","given":"P.","affiliations":[],"preferred":false,"id":648639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stern, Laura A. 0000-0003-3440-5674 lstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":1197,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"lstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":648640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kerr, Laura A.","contributorId":42241,"corporation":false,"usgs":true,"family":"Kerr","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":648641,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70186700,"text":"70186700 - 2014 - Mineral resource of the month: Mica","interactions":[],"lastModifiedDate":"2017-04-07T13:02:46","indexId":"70186700","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Mica","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"true\"><i><span>The mica mineral group includes 34 phyllosilicate minerals, all with a layered, platy texture. The mineral has been known for millennia: Mica was first mined in India about 4,000 years ago, where it was used primarily in medicines. The Mayans used it for decorative effect in stucco to make their temples sparkle in the sun. Today it is used in everything from electrical products to makeup.</span></i></span><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"AGI","usgsCitation":"Willett, J.C., 2014, Mineral resource of the month: Mica: Earth, v. December 2014, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-059831","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339414,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-mica"}],"volume":"December 2014","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a545e4b09da6799d63af","contributors":{"authors":[{"text":"Willett, Jason C. 0000-0002-7598-3174 jwillett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-3174","contributorId":3516,"corporation":false,"usgs":true,"family":"Willett","given":"Jason","email":"jwillett@usgs.gov","middleInitial":"C.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690314,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187391,"text":"70187391 - 2014 - Mark-resight abundance estimation under incomplete identification of marked individuals","interactions":[],"lastModifiedDate":"2017-05-01T12:22:50","indexId":"70187391","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Mark-resight abundance estimation under incomplete identification of marked individuals","docAbstract":"<ol id=\"mee312140-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Often less expensive and less invasive than conventional mark–recapture, so-called 'mark-resight' methods are popular in the estimation of population abundance. These methods are most often applied when a subset of the population of interest is marked (naturally or artificially), and non-invasive sighting data can be simultaneously collected for both marked and unmarked individuals. However, it can often be difficult to identify marked individuals with certainty during resighting surveys, and incomplete identification of marked individuals is potentially a major source of bias in mark-resight abundance estimators. Previously proposed solutions are ad hoc and will tend to underperform unless marked individual identification rates are relatively high (&gt;90%) or individual sighting heterogeneity is negligible.</li><li>Based on a complete data likelihood, we present an approach that properly accounts for uncertainty in marked individual detection histories when incomplete identifications occur. The models allow for individual heterogeneity in detection, sampling with (e.g. Poisson) or without (e.g. Bernoulli) replacement, and an unknown number of marked individuals. Using a custom Markov chain Monte Carlo algorithm to facilitate Bayesian inference, we demonstrate these models using two example data sets and investigate their properties via simulation experiments.</li><li>We estimate abundance for grassland sparrow populations in Pennsylvania, USA when sampling was conducted with replacement and the number of marked individuals was either known or unknown. To increase marked individual identification probabilities, extensive territory mapping was used to assign incomplete identifications to individuals based on location. Despite marked individual identification probabilities as low as 67% in the absence of this territorial mapping procedure, we generally found little return (or need) for this time-consuming investment when using our proposed approach. We also estimate rookery abundance from Alaskan Steller sea lion counts when sampling was conducted without replacement, the number of marked individuals was unknown, and individual heterogeneity was suspected as non-negligible.</li><li>In terms of estimator performance, our simulation experiments and examples demonstrated advantages of our proposed approach over previous methods, particularly when marked individual identification probabilities are low and individual heterogeneity levels are high. Our methodology can also reduce field effort requirements for marked individual identification, thus, allowing potential investment into additional marking events or resighting surveys.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12140","usgsCitation":"McClintock, B.T., Hill, J.M., Fritz, L., Chumbley, K., Luxa, K., and Diefenbach, D.R., 2014, Mark-resight abundance estimation under incomplete identification of marked individuals: Methods in Ecology and Evolution, v. 5, no. 12, p. 1294-1304, https://doi.org/10.1111/2041-210X.12140.","productDescription":"11 p.","startPage":"1294","endPage":"1304","ipdsId":"IP-045819","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-14","publicationStatus":"PW","scienceBaseUri":"5908492ce4b0fc4e448ffd68","contributors":{"authors":[{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":true,"id":693737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Jason M.","contributorId":191616,"corporation":false,"usgs":false,"family":"Hill","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritz, Lowell","contributorId":191659,"corporation":false,"usgs":false,"family":"Fritz","given":"Lowell","email":"","affiliations":[],"preferred":false,"id":693739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chumbley, Kathryn","contributorId":191660,"corporation":false,"usgs":false,"family":"Chumbley","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":693740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luxa, Katie","contributorId":191661,"corporation":false,"usgs":false,"family":"Luxa","given":"Katie","email":"","affiliations":[],"preferred":false,"id":693741,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693733,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189303,"text":"70189303 - 2014 - The future of nearshore processes research","interactions":[],"lastModifiedDate":"2017-11-12T11:04:59","indexId":"70189303","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The future of nearshore processes research","docAbstract":"<p>The nearshore is the transition region between land and the continental shelf including (from onshore to offshore) coastal plains, wetlands, estuaries, coastal cliffs, dunes, beaches, surf zones (regions of wave breaking), and the inner shelf (Figure ES-1). Nearshore regions are vital to the national economy, security, commerce, and recreation. The nearshore is dynamically evolving, is often densely populated, and is under increasing threat from sea level rise, long-term erosion, extreme storms, and anthropogenic influences. Worldwide, almost one billion people live at elevations within 10 m of present sea level. Long-term erosion threatens communities, infrastructure, ecosystems, and habitat. Extreme storms can cause billions of dollars of damage. Degraded water quality impacts ecosystem and human health. Nearshore processes, the complex interactions between water, sediment, biota, and humans, must be understood and predicted to manage this often highly developed yet vulnerable nearshore environment. </p><p>Over the past three decades, the understanding of nearshore processes has improved. However, societal needs are growing with increased coastal urbanization and threats of future climate change, and significant scientific challenges remain. To address these challenges, members of academia, industry, and federal agencies (USGS, USACE, NPS, NOAA, FEMA, ONR) met at the “The Past and Future of Nearshore Processes Research: Reflections on the Sallenger Years and a New Vision for the Future” workshop to develop a nearshore processes research vision where societal needs and science challenges intersect. The resulting vision is comprised of three broad research themes: </p><p><ol><li>Long-term coastal evolution due to natural and anthropogenic processes: As global climate change alters the rates of sea level rise and potentially storm patterns and coastal urbanization increases over the coming decades, an understanding of coastal evolution is critical. Improved knowledge of long-term morphological, ecological, and societal processes and their interactions will result in an improved ability to simulate coastal change. This will enable proactive solutions for resilient coasts and better guidance for reducing coastal vulnerability.<br></li><li>Extreme Events: Flooding, erosion, and the subsequent recovery: Hurricane Sandy caused flooding and erosion along hundreds of miles of shoreline, flooded New York City, and impacted communities and infrastructure. Overall U.S. coastal extreme event related economic losses have increased substantially. Furthermore, climate change may cause an increase in coastal extreme events and rising sea levels could increase the occurrence of extreme events. Addressing this research theme will result in an improved understanding of the physical processes during extreme events, leading to improved models of flooding, erosion, and recovery. The resulting societal benefit will be more resilient coastal communities.<br></li><li>The physical, biological and chemical processes impacting human and ecosystem health: Nearshore regions are used for recreation, tourism, and human habitation, and provide habitat and valuable ecosystem services. These areas must be sustained for future generations, however overall coastal water quality is declining due to microbial pathogens, fertilizers, pesticides, and heavy metal contamination, threatening ecosystem and human health. To ensure sustainable nearshore regions, predictive real-time water- and sediment-based based pollutant modeling capabilities must be developed, which requires expanding our knowledge of the physics, chemistry, and biology of the nearshore. The resulting societal benefits will include better beach safety, healthier ecosystems, and improved mitigation and regulatory policies.<br></li></ol></p><p>The scientists and engineers of the U.S. nearshore community are poised to make significant progress on these research themes, which have significant societal impact. The U.S. nearshore community, including academic, government, and industry colleagues, recommends multi-agency investment into a coordinated development of observational and modeling research infrastructure to address these themes, as discussed in&nbsp;the whitepaper. The observational infrastructure should include development of new sensors and methods, focused observational programs, and expanded nearshore observing systems. The modeling infrastructure should include improved process representation, better model coupling, incorporation of data assimilation techniques, and testing of real-time models. The observations will provide test beds to compare and improve models.</p>","language":"English","publisher":"The Nearshore Processes Community","usgsCitation":"2014, The future of nearshore processes research, 32 p.","productDescription":"32 p.","ipdsId":"IP-063052","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":343516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343509,"type":{"id":11,"text":"Document"},"url":"https://scripps.ucsd.edu/centers/nearshorefuture/wp-content/uploads/sites/37/2014/12/Future_Nearshore_Processes_Research.pdf"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59649235e4b0d1f9f05acd48","contributors":{"editors":[{"text":"Elko, Nicole A.","contributorId":50960,"corporation":false,"usgs":true,"family":"Elko","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704063,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Feddersen, Falk","contributorId":194420,"corporation":false,"usgs":false,"family":"Feddersen","given":"Falk","email":"","affiliations":[],"preferred":false,"id":704064,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Foster, Diane","contributorId":194421,"corporation":false,"usgs":false,"family":"Foster","given":"Diane","affiliations":[],"preferred":false,"id":704065,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":704066,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"McNinch, Jesse E.","contributorId":93804,"corporation":false,"usgs":true,"family":"McNinch","given":"Jesse E.","affiliations":[],"preferred":false,"id":704067,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Mulligan, Ryan P.","contributorId":194423,"corporation":false,"usgs":false,"family":"Mulligan","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":35723,"text":"Queen's University - Kingston, Ontario","active":true,"usgs":false}],"preferred":false,"id":704068,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Tuba Ozkan-Haller, H.","contributorId":194424,"corporation":false,"usgs":false,"family":"Tuba Ozkan-Haller","given":"H.","email":"","affiliations":[],"preferred":false,"id":704069,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":704070,"contributorType":{"id":2,"text":"Editors"},"rank":8},{"text":"Raubenheimer, Britt","contributorId":194340,"corporation":false,"usgs":false,"family":"Raubenheimer","given":"Britt","email":"","affiliations":[],"preferred":false,"id":704071,"contributorType":{"id":2,"text":"Editors"},"rank":9}]}}
,{"id":70187401,"text":"70187401 - 2014 - On the effects of scale for ecosystem services mapping","interactions":[],"lastModifiedDate":"2017-05-01T15:56:58","indexId":"70187401","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"On the effects of scale for ecosystem services mapping","docAbstract":"<p><span>Ecosystems provide life-sustaining services upon which human civilization depends, but their degradation largely continues unabated. Spatially explicit information on ecosystem services (ES) provision is required to better guide decision making, particularly for mountain systems, which are characterized by vertical gradients and isolation with high topographic complexity, making them particularly sensitive to global change. But while spatially explicit ES quantification and valuation allows the identification of areas of abundant or limited supply of and demand for ES, the accuracy and usefulness of the information varies considerably depending on the scale and methods used. Using four case studies from mountainous regions in Europe and the U.S., we quantify information gains and losses when mapping five ES - carbon sequestration, flood regulation, agricultural production, timber harvest, and scenic beauty - at coarse and fine resolution (250 m vs. 25 m in Europe and 300 m vs. 30 m in the U.S.). We analyze the effects of scale on ES estimates and their spatial pattern and show how these effects are related to different ES, terrain structure and model properties. ES estimates differ substantially between the fine and coarse resolution analyses in all case studies and across all services. This scale effect is not equally strong for all ES. We show that spatially explicit information about non-clustered, isolated ES tends to be lost at coarse resolution and against expectation, mainly in less rugged terrain, which calls for finer resolution assessments in such contexts. The effect of terrain ruggedness is also related to model properties such as dependency on land use-land cover data. We close with recommendations for mapping ES to make the resulting maps more comparable, and suggest a four-step approach to address the issue of scale when mapping ES that can deliver information to support ES-based decision making with greater accuracy and reliability.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0112601","usgsCitation":"Gret-Regamey, A., Weibel, B., Bagstad, K.J., Ferrari, M., Geneletti, D., Klug, H., Schirpke, U., and Tappeiner, U., 2014, On the effects of scale for ecosystem services mapping: PLoS ONE, v. 9, no. 12, e112601; 26 p., https://doi.org/10.1371/journal.pone.0112601.","productDescription":"e112601; 26 p.","ipdsId":"IP-056762","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0112601","text":"Publisher Index Page"},{"id":340707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"12","noUsgsAuthors":false,"publicationDate":"2014-12-30","publicationStatus":"PW","scienceBaseUri":"5908492ce4b0fc4e448ffd66","contributors":{"authors":[{"text":"Gret-Regamey, Adrienne","contributorId":191685,"corporation":false,"usgs":false,"family":"Gret-Regamey","given":"Adrienne","email":"","affiliations":[],"preferred":false,"id":693849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weibel, Bettina","contributorId":108378,"corporation":false,"usgs":true,"family":"Weibel","given":"Bettina","email":"","affiliations":[],"preferred":false,"id":693850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrari, Marika","contributorId":191686,"corporation":false,"usgs":false,"family":"Ferrari","given":"Marika","email":"","affiliations":[],"preferred":false,"id":693852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geneletti, Davide","contributorId":191687,"corporation":false,"usgs":false,"family":"Geneletti","given":"Davide","email":"","affiliations":[],"preferred":false,"id":693853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klug, Hermann","contributorId":189515,"corporation":false,"usgs":false,"family":"Klug","given":"Hermann","email":"","affiliations":[],"preferred":false,"id":693854,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schirpke, Uta","contributorId":191688,"corporation":false,"usgs":false,"family":"Schirpke","given":"Uta","email":"","affiliations":[],"preferred":false,"id":693855,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tappeiner, Ulrike","contributorId":191689,"corporation":false,"usgs":false,"family":"Tappeiner","given":"Ulrike","email":"","affiliations":[],"preferred":false,"id":693856,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70128627,"text":"70128627 - 2014 - Potential reduction in terrestrial salamander ranges associated with Marcellus shale development","interactions":[],"lastModifiedDate":"2016-07-08T14:45:20","indexId":"70128627","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Potential reduction in terrestrial salamander ranges associated with Marcellus shale development","docAbstract":"<p><span>Natural gas production from the Marcellus shale is rapidly increasing in the northeastern United States. Most of the endemic terrestrial salamander species in the region are classified as &lsquo;globally secure&rsquo; by the IUCN, primarily because much of their ranges include state- and federally protected lands, which have been presumed to be free from habitat loss. However, the proposed and ongoing development of the Marcellus gas resources may result in significant range restrictions for these and other terrestrial forest salamanders. To begin to address the gaps in our knowledge of the direct impacts of shale gas development, we developed occurrence models for five species of terrestrial plethodontid salamanders found largely within the Marcellus shale play. We predicted future Marcellus shale development under several scenarios. Under scenarios of 10,000, 20,000, and 50,000 new gas wells, we predict 4%, 8%, and 20% forest loss, respectively, within the play. Predictions of habitat loss vary among species, but in general,&nbsp;</span><i>Plethodon electromorphus</i><span>&nbsp;and&nbsp;</span><i>Plethodon</i><i>wehrlei</i><span>&nbsp;are predicted to lose the greatest proportion of forested habitat within their ranges if future Marcellus development is based on characteristics of the shale play. If development is based on current well locations,</span><i>Plethodon</i><i>richmondi</i><span>&nbsp;is predicted to lose the greatest proportion of habitat. Models showed high uncertainty in species&rsquo; ranges and emphasize the need for distribution data collected by widespread and repeated, randomized surveys.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2014.10.008","usgsCitation":"Brand, A.B., Wiewel, A., and Grant, E., 2014, Potential reduction in terrestrial salamander ranges associated with Marcellus shale development: Biological Conservation, v. 180, p. 233-240, https://doi.org/10.1016/j.biocon.2014.10.008.","productDescription":"8 p.","startPage":"233","endPage":"240","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060365","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":324946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"180","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cebde4b08116168223a0","contributors":{"authors":[{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":519740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiewel, Amber N. M. awiewel@usgs.gov","contributorId":146573,"corporation":false,"usgs":true,"family":"Wiewel","given":"Amber N. M.","email":"awiewel@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":641978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Evan H. Campbell ehgrant@usgs.gov","contributorId":3696,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":519741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70139547,"text":"70139547 - 2014 - Anuran site occupancy and species richness as tools for evaluating restoration of a hydrologically-modified landscape","interactions":[],"lastModifiedDate":"2015-01-28T14:28:41","indexId":"70139547","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Anuran site occupancy and species richness as tools for evaluating restoration of a hydrologically-modified landscape","docAbstract":"<p><span>A fundamental goal of wetland restoration is to reinstate pre-disturbance hydrological conditions to degraded landscapes, facilitating recolonization by native species and the production of resilient, functional ecosystems. To evaluate restoration success, baseline conditions need to be determined and a reference target needs to be established that will serve as an ecological blueprint in the restoration process. During the summer wet seasons of 2010 and 2011, we used automated recording units to monitor a community of calling anuran amphibians in the Picayune Strand State Forest of Southwest Florida, USA. This area is undergoing hydrological restoration as part of the Comprehensive Everglades Restoration Plan. We compared occurrence of anurans at sites in the restoration area, to nearby locations in relatively undisturbed habitat (reference sites). We assessed the utility of the latter as restoration targets, using a hierarchical model of community species occupancy to estimate the probability of occurrence of anurans in restoration and reference locations. We detected 14 species, 13 of which were significantly more likely to occur in reference areas. All 14 species were estimated by our model to occur at these sites but, across both years, only 8&ndash;13 species were estimated to occur at restoration sites. The composition and structure of these habitats within and adjacent to the Picayune Strand State Forest indicate that they are suitable targets for habitat restoration, as measured by amphibian occurrence and species richness. These areas are important sources for recolonization of anuran amphibians as the hydrologically degraded Picayune Strand undergoes restoration to mitigate the effects of overdrainage and habitat loss.</span></p>","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s11273-014-9356-4","usgsCitation":"Walls, S.C., Waddle, J.H., Barichivich, W.J., Bartoszek, I.A., Brown, M., Hefner, J.M., and Schuman, M., 2014, Anuran site occupancy and species richness as tools for evaluating restoration of a hydrologically-modified landscape: Wetlands Ecology and Management, v. 22, no. 6, p. 625-639, https://doi.org/10.1007/s11273-014-9356-4.","productDescription":"15 p.","startPage":"625","endPage":"639","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045360","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Picayune Strand State Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.617431640625,\n              25.942609332852275\n            ],\n            [\n              -81.617431640625,\n              26.19795726272403\n            ],\n            [\n              -81.32972717285156,\n              26.19795726272403\n            ],\n            [\n              -81.32972717285156,\n              25.942609332852275\n            ],\n            [\n              -81.617431640625,\n              25.942609332852275\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-14","publicationStatus":"PW","scienceBaseUri":"54dd2a55e4b08de9379b2fe9","contributors":{"authors":[{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartoszek, Ian A.","contributorId":138954,"corporation":false,"usgs":false,"family":"Bartoszek","given":"Ian","email":"","middleInitial":"A.","affiliations":[{"id":12592,"text":"Conservancy of Southwest Florida, Naples, FL","active":true,"usgs":false}],"preferred":false,"id":539437,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brown, Mary E. 0000-0002-5580-137X","orcid":"https://orcid.org/0000-0002-5580-137X","contributorId":38112,"corporation":false,"usgs":true,"family":"Brown","given":"Mary E.","affiliations":[],"preferred":false,"id":539438,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hefner, J. M.","contributorId":39427,"corporation":false,"usgs":true,"family":"Hefner","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":539439,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schuman, Melinda J.","contributorId":138955,"corporation":false,"usgs":false,"family":"Schuman","given":"Melinda J.","affiliations":[{"id":12592,"text":"Conservancy of Southwest Florida, Naples, FL","active":true,"usgs":false}],"preferred":false,"id":539440,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
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