{"pageNumber":"1211","pageRowStart":"30250","pageSize":"25","recordCount":184878,"records":[{"id":70156559,"text":"ds958 - 2015 - Baseline coastal oblique aerial photographs collected from the Virginia/North Carolina border to Montauk Point, New York, <br>October 5-6, 2014","interactions":[],"lastModifiedDate":"2015-10-02T13:47:27","indexId":"ds958","displayToPublicDate":"2015-10-02T01:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"958","title":"Baseline coastal oblique aerial photographs collected from the Virginia/North Carolina border to Montauk Point, New York, <br>October 5-6, 2014","docAbstract":"<h1>Summary</h1>\n<p>The U.S. Geological Survey (USGS) conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). 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These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in five-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.</p>\n<p>In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds958","usgsCitation":"Morgan, K.L.M., 2015, Baseline coastal oblique aerial photographs collected from the Virginia/North Carolina Border to Montauk Point, New York,<br> October 5-6, 2014: U.S. Geological Survey Data Series 958, https://dx.doi.org/10.3133/ds958.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065659","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307769,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0958/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DS 958"},{"id":307768,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0958/coverthb.jpg"}],"country":"United States","state":"New York, North Carolina, Virginia","otherGeospatial":"Montauk Point","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.224365234375,\n              41.795888098191426\n            ],\n            [\n              -72.410888671875,\n              41.86956082699455\n            ],\n            [\n              -73.443603515625,\n              41.68111756290652\n            ],\n            [\n              -74.72900390625,\n              40.9052096972736\n            ],\n            [\n              -75.21240234375,\n              40.697299008636755\n            ],\n            [\n              -76.09130859375,\n              40.29628651711716\n            ],\n            [\n              -76.70654296875,\n              39.58875727696545\n            ],\n            [\n              -77.04711914062499,\n              38.94232097947902\n            ],\n            [\n              -77.1240234375,\n              38.34165619279593\n            ],\n            [\n              -77.05810546875,\n              37.735969208590504\n            ],\n            [\n              -76.783447265625,\n              36.923547681089296\n            ],\n            [\n              -76.26708984375,\n              36.8092847020594\n            ],\n            [\n              -75.750732421875,\n              36.86204269508728\n            ],\n            [\n              -74.498291015625,\n              38.60828592850559\n            ],\n            [\n              -73.90502929687499,\n              39.66491373749131\n            ],\n            [\n              -72.410888671875,\n              40.60561205826018\n            ],\n            [\n              -71.56494140625,\n              40.84706035607122\n            ],\n            [\n              -71.136474609375,\n              41.071069130806414\n            ],\n            [\n              -70.894775390625,\n              41.22824901518532\n            ],\n            [\n              -71.224365234375,\n              41.795888098191426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>St. Petersburg Coastal and Marine Science Center <br /> 600 4th Street South<br /> St. Petersburg, FL 33701<br /> (727) 502-8000<br /> <a href=\"http://coastal.er.usgs.gov/\">http://coastal.er.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Getting Started</li>\n<li>List of Figures</li>\n<li>Table of Images</li>\n<li>References Cited</li>\n<li>Acknowledgments</li>\n<li>Information Statement</li>\n<li>System Requirements</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-10-02","noUsgsAuthors":false,"publicationDate":"2015-10-02","publicationStatus":"PW","scienceBaseUri":"560f9ca8e4b0ba4884c5ee90","contributors":{"authors":[{"text":"Morgan, Karen L. 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,{"id":70134264,"text":"70134264 - 2015 - Remote sensing of land resources: Monitoring, modeling, and mapping advances over the last 50 years and a vision for the future","interactions":[],"lastModifiedDate":"2020-08-04T13:40:21.266302","indexId":"70134264","displayToPublicDate":"2015-10-02T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"26","title":"Remote sensing of land resources: Monitoring, modeling, and mapping advances over the last 50 years and a vision for the future","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Land resources monitoring, modeling, and mapping with remote sensing","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/b19355-96","isbn":"978-1-4822-1795-7","usgsCitation":"Thenkabail, P.S., 2015, Remote sensing of land resources: Monitoring, modeling, and mapping advances over the last 50 years and a vision for the future, chap. 26 <i>of</i> Land resources monitoring, modeling, and mapping with remote sensing, p. 791-828, https://doi.org/10.1201/b19355-96.","productDescription":"41 p.","startPage":"791","endPage":"828","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060648","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":310835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563486d2e4b048076347fb54","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":525777,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70158598,"text":"70158598 - 2015 - The rapid return of marine-derived nutrients to a freshwater food web following dam removal","interactions":[],"lastModifiedDate":"2016-04-26T15:15:58","indexId":"70158598","displayToPublicDate":"2015-10-02T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The rapid return of marine-derived nutrients to a freshwater food web following dam removal","docAbstract":"<p><span>Dam removal is increasingly being recognized as a viable river restoration action. Although the main beneficiaries of restored connectivity are often migratory fish populations, little is known regarding recovery of other parts of the freshwater food web, particularly terrestrial components. 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,{"id":70129390,"text":"70129390 - 2015 - Inland valley wetland cultivation and preservation for africa’s green and blue revolution using multi-sensor remote sensing","interactions":[],"lastModifiedDate":"2015-11-02T15:56:31","indexId":"70129390","displayToPublicDate":"2015-10-02T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Inland valley wetland cultivation and preservation for africa’s green and blue revolution using multi-sensor remote sensing","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote Sensing of Water Resources, Disasters, and Urban Studies","language":"English","publisher":"CRC Press","usgsCitation":"Thenkabail, P.S., and Teluguntla, P.G., 2015, Inland valley wetland cultivation and preservation for africa’s green and blue revolution using multi-sensor remote sensing, chap. <i>of</i> Remote Sensing of Water Resources, Disasters, and Urban Studies, p. 227-259.","productDescription":"33 p.","startPage":"227","endPage":"259","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057670","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":310965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389756e4b0d6133fe72fc0","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teluguntla, Pardhasaradhi G. 0000-0001-8060-9841 pteluguntla@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":5275,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","email":"pteluguntla@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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,{"id":70138032,"text":"70138032 - 2015 - Water productivity studies from earth observation data: characterization, modeling and mapping water use and water productivity","interactions":[],"lastModifiedDate":"2015-10-19T14:40:32","indexId":"70138032","displayToPublicDate":"2015-10-02T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Water productivity studies from earth observation data: characterization, modeling and mapping water use and water productivity","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of water resources, disasters, and urban studies","language":"English","publisher":"CRC Press","collaboration":"Antônio de C. Teixeira1,*, Fernando B. T. Hernandez2, Morris Scherer-Warren3, Ricardo G. Andrade1, Janice F. Leivas1, Daniel C. Victoria1, Edson L. Bolfe1, Prasad S. Thenkabail4 and Renato A. M. Franco2","usgsCitation":"de C. 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,{"id":70211112,"text":"70211112 - 2015 - Summer of Applied Geophysical Experience (SAGE): Training for our future geoscientists","interactions":[],"lastModifiedDate":"2020-07-15T13:43:09.107124","indexId":"70211112","displayToPublicDate":"2015-10-01T18:04:03","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2610,"text":"Leading Edge (Tulsa, OK)","active":true,"publicationSubtype":{"id":10}},"title":"Summer of Applied Geophysical Experience (SAGE): Training for our future geoscientists","docAbstract":"<p><span>Energy and natural resources are crucial to the sustainability of worldwide economies, security, and overall well-being. However, the future workforce in the energy and natural-resources sector is at risk, and meeting the challenges of this dwindling workforce requires well-educated geoscientists in exploration and applied geophysics and related geoscience and technology disciplines. Programs such as geophysical field courses that are supported by SEG and industry, in partnership with academic institutions and government laboratories, are important approaches to maintaining and enhancing expertise in exploration geophysics. One example of a geophysical field course devoted to educating our future workforce is the Summer of Applied Geophysical Experience (SAGE), a four-week program based in Santa Fe, New Mexico, designed to actively engage students in all phases of applied geophysical research. SAGE is a unique educational experience that combines teaching and research as a partnership among universities, industry, government agencies, and professional societies. SAGE teaches the principles and applications of refraction and reflection seismology, magnetics, gravity, GPS, heat flow, several electromagnetic (EM) methods, and ground-penetrating radar (GPR) in a field-based, hands-on setting. More than 850 students and qualified professionals have attended SAGE, many of whom have gone on to become leaders in academia, industry, and government. SAGE students are exposed to the exciting challenges that face earth scientists today, and they develop skills that are necessary to address the world's growing energy demands. Examples of SAGE research projects include mapping archaeological sites and tectonic structure and investigating water and geothermal resources in the Rio Grande rift.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle34101214.1","usgsCitation":"Baldridge, W., Bedrosian, P.A., Biehler, S., Braile, L., Ferguson, J., Folsom, M., Jiracek, G., Kelley, S.A., McPhee, D., Pellerin, L., and Snelson, C.M., 2015, Summer of Applied Geophysical Experience (SAGE): Training for our future geoscientists: Leading Edge (Tulsa, OK), v. 34, no. 10, p. 1214-1219, https://doi.org/10.1190/tle34101214.1.","productDescription":"6 p.","startPage":"1214","endPage":"1219","ipdsId":"IP-068332","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":376397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldridge, W.S.","contributorId":63956,"corporation":false,"usgs":true,"family":"Baldridge","given":"W.S.","affiliations":[],"preferred":false,"id":792803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":792804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biehler, Shawn","contributorId":69168,"corporation":false,"usgs":true,"family":"Biehler","given":"Shawn","email":"","affiliations":[],"preferred":false,"id":792805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braile, L.W.","contributorId":85332,"corporation":false,"usgs":true,"family":"Braile","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":792806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferguson, John","contributorId":196881,"corporation":false,"usgs":false,"family":"Ferguson","given":"John","affiliations":[],"preferred":false,"id":792807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Folsom, Matthew","contributorId":229011,"corporation":false,"usgs":false,"family":"Folsom","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":792808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jiracek, G.R.","contributorId":90121,"corporation":false,"usgs":true,"family":"Jiracek","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":792809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kelley, Shari A.","contributorId":216179,"corporation":false,"usgs":false,"family":"Kelley","given":"Shari","email":"","middleInitial":"A.","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":792810,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":792811,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pellerin, Louise","contributorId":20824,"corporation":false,"usgs":true,"family":"Pellerin","given":"Louise","email":"","affiliations":[],"preferred":false,"id":792812,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Snelson, Catherine M.","contributorId":106369,"corporation":false,"usgs":true,"family":"Snelson","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":792813,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70154751,"text":"70154751 - 2015 - Landfill leachate as a mirror of today's disposable society: Pharmaceuticals and other contaminants of emerging concern in final leachate from landfills in the conterminous United States","interactions":[],"lastModifiedDate":"2021-06-01T14:43:31.062569","indexId":"70154751","displayToPublicDate":"2015-10-01T17:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Landfill leachate as a mirror of today's disposable society: Pharmaceuticals and other contaminants of emerging concern in final leachate from landfills in the conterminous United States","docAbstract":"<p>Final leachates (leachate after storage or treatment processes) from 22 landfills in 12 states were analyzed for 190 pharmaceuticals and other contaminants of emerging concern (CECs), which were detected in every sample, with the number of CECs ranging from 1 to 58 (median&thinsp;=&thinsp;22). In total, 101 different CECs were detected in leachate samples, including 43 prescription pharmaceuticals, 22 industrial chemicals, 15 household chemicals, 12 nonprescription pharmaceuticals, 5 steroid hormones, and 4 animal/plant sterols. The most frequently detected CECs were lidocaine (91%, local anesthetic), cotinine (86%, nicotine degradate), carisoprodol (82%, muscle relaxant), bisphenol A (77%, component of plastics and thermal paper), carbamazepine (77%, anticonvulsant), and N,N-diethyltoluamide (68%, insect repellent). Concentrations of CECs spanned 7 orders of magnitude, ranging from 2.0&thinsp;ng/L (estrone) to 17&thinsp;200&thinsp;000&thinsp;ng/L (bisphenol A). Concentrations of household and industrial chemicals were the greatest (&sim;1000-1&thinsp;000&thinsp;000&thinsp;ng/L), followed by plant/animal sterols (&sim;1000-100&thinsp;000&thinsp;ng/L), nonprescription pharmaceuticals (&sim;100-10&thinsp;000&thinsp;ng/L), prescription pharmaceuticals (&sim;10-10&thinsp;000&thinsp;ng/L), and steroid hormones (&sim;10-100&thinsp;ng/L). The CEC concentrations in leachate from active landfills were significantly greater than those in leachate from closed, unlined landfills (p&thinsp;=&thinsp;0.05). The CEC concentrations were significantly greater (p&thinsp;&lt;&thinsp;0.01) in untreated leachate compared with treated leachate. The CEC concentrations were significantly greater in leachate disposed to wastewater treatment plants from modern lined landfills than in leachate released to groundwater from closed, unlined landfills (p&thinsp;=&thinsp;0.04). The CEC concentrations were significantly greater (p&thinsp;=&thinsp;0.06) in the fresh leachate (leachate before storage or treatment) reported in a previous study compared with the final leachate sampled for the present study.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1002/etc.3219","usgsCitation":"Masoner, J.R., Kolpin, D.W., Furlong, E.T., Cozzarelli, I.M., and Gray, J.L., 2015, Landfill leachate as a mirror of today's disposable society: Pharmaceuticals and other contaminants of emerging concern in final leachate from landfills in the conterminous United States: Environmental Toxicology and Chemistry, v. 35, no. 4, p. 906-918, https://doi.org/10.1002/etc.3219.","productDescription":"13 p.","startPage":"906","endPage":"918","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063934","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":516,"text":"Oklahoma 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,{"id":70160007,"text":"70160007 - 2015 - Advantage of hyperspectral EO-1 Hyperion over multispectral IKONOS, GeoEye-1, WorldView-2, Landsat ETM+, and MODIS vegetation indices in crop biomass estimation","interactions":[],"lastModifiedDate":"2016-01-06T15:55:53","indexId":"70160007","displayToPublicDate":"2015-10-01T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Advantage of hyperspectral EO-1 Hyperion over multispectral IKONOS, GeoEye-1, WorldView-2, Landsat ETM+, and MODIS vegetation indices in crop biomass estimation","docAbstract":"<p>Crop biomass is increasingly being measured with surface reflectance data derived from multispectral broadband (MSBB) and hyperspectral narrowband (HNB) space-borne remotely sensed data to increase the accuracy and efficiency of crop yield models used in a wide array of agricultural applications. However, few studies compare the ability of MSBBs versus HNBs to capture crop biomass variability. Therefore, we used standard data mining techniques to identify a set of MSBB data from the IKONOS, GeoEye-1, Landsat ETM+, MODIS, WorldView-2 sensors and compared their performance with HNB data from the EO-1 Hyperion sensor in explaining crop biomass variability of four important field crops (rice, alfalfa, cotton, maize). The analysis employed two-band (ratio) vegetation indices (TBVIs) and multiband (additive) vegetation indices (MBVIs) derived from Singular Value Decomposition (SVD) and stepwise regression. Results demonstrated that HNB-derived TBVIs and MBVIs performed better than MSBB-derived TBVIs and MBVIs on a per crop basis and for the pooled data: overall, HNB TBVIs explained 5&ndash;31% greater variability when compared with various MSBB TBVIs; and HNB MBVIs explained 3&ndash;33% greater variability when compared with various MSBB MBVIs. The performance of MSBB MBVIs and TBVIs improved mildly, by combining spectral information across multiple sensors involving IKONOS, GeoEye-1, Landsat ETM+, MODIS, and WorldView-2. A number of HNBs that advance crop biomass modeling were determined. Based on the highest factor loadings on the first component of the SVD, the &ldquo;red-edge&rdquo; spectral range (700&ndash;740 nm) centered at 722 nm (bandwidth = 10 nm) stood out prominently, while five additional and distinct portions of the recorded spectral range (400&ndash;2500 nm) centered at 539 nm, 758 nm, 914 nm, 1130 nm, 1320 nm (bandwidth = 10 nm) were also important. The best HNB vegetation indices for crop biomass estimation involved 549 and 752 nm for rice (<i>R</i><sup>2</sup> = 0.91); 925 and 1104 nm for alfalfa (<i>R</i><sup>2</sup> = 0.81); 722 and 732 nm for cotton (<i>R</i><sup>2</sup> = 0.97); and 529 and 895 nm for maize (<i>R</i><sup>2</sup> = 0.94). The higher spectral resolution of the EO-1 Hyperion hyperspectral sensor and the ability of users to choose distinct HNBs for improved crop biomass estimation outweigh the benefits that come with higher spatial resolution of MSBBs.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.isprsjprs.2015.08.001","usgsCitation":"Marshall, M.T., and Thenkabail, P.S., 2015, Advantage of hyperspectral EO-1 Hyperion over multispectral IKONOS, GeoEye-1, WorldView-2, Landsat ETM+, and MODIS vegetation indices in crop biomass estimation: ISPRS Journal of Photogrammetry and Remote Sensing, v. 108, p. 205-218, https://doi.org/10.1016/j.isprsjprs.2015.08.001.","productDescription":"14 p.","startPage":"205","endPage":"218","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060745","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2015.08.001","text":"Publisher Index Page"},{"id":313981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.05810546875,\n              40.730608477796636\n            ],\n            [\n              -122.82714843749999,\n              40.3130432088809\n            ],\n            [\n              -122.56347656249999,\n              39.90973623453719\n            ],\n            [\n              -122.62939453125001,\n              39.38526381099774\n            ],\n            [\n              -122.23388671874999,\n              38.496593518947556\n            ],\n            [\n              -121.70654296874999,\n              37.78808138412046\n            ],\n            [\n              -121.17919921875001,\n              37.43997405227057\n            ],\n            [\n              -121.00341796874999,\n              36.96744946416934\n            ],\n            [\n              -120.60791015625,\n              36.4566360115962\n            ],\n            [\n              -120.16845703125,\n              36.01356058518153\n            ],\n            [\n              -119.7509765625,\n              35.35321610123821\n            ],\n            [\n              -119.39941406249999,\n              34.95799531086792\n            ],\n            [\n              -118.93798828125,\n              34.97600151317591\n            ],\n            [\n              -118.63037109375,\n              35.15584570226544\n            ],\n            [\n              -118.63037109375,\n              35.764343479667176\n            ],\n            [\n              -118.89404296875,\n              36.24427318493909\n            ],\n            [\n              -119.39941406249999,\n              36.84446074079564\n            ],\n            [\n              -119.88281249999999,\n              37.23032838760387\n            ],\n            [\n              -120.41015624999999,\n              37.80544394934274\n            ],\n            [\n              -120.84960937499999,\n              38.34165619279595\n            ],\n            [\n              -121.28906250000001,\n              38.89103282648849\n            ],\n            [\n              -121.61865234375,\n              39.52099229357195\n            ],\n            [\n              -121.9921875,\n              39.9434364619742\n            ],\n            [\n              -122.05810546875,\n              40.730608477796636\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568e48dee4b0e7a44bc4186b","contributors":{"authors":[{"text":"Marshall, Michael T. mmarshall@usgs.gov","contributorId":5480,"corporation":false,"usgs":true,"family":"Marshall","given":"Michael","email":"mmarshall@usgs.gov","middleInitial":"T.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":581537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":581536,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168726,"text":"70168726 - 2015 - Black-tailed and white-tailed jackrabbits in the American West: History, ecology, ecological significance, and survey methods","interactions":[],"lastModifiedDate":"2016-07-11T13:01:36","indexId":"70168726","displayToPublicDate":"2015-10-01T16:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Black-tailed and white-tailed jackrabbits in the American West: History, ecology, ecological significance, and survey methods","docAbstract":"<p>Across the western United States, Leporidae are the most important prey item in the diet of Golden Eagles (<i>Aquila chrysaetos</i>). Leporids inhabiting the western United States include black-tailed (<i>Lepus californicus</i>) and white-tailed jackrabbits (<i>Lepus townsendi</i>i) and various species of cottontail rabbit (<i>Sylvilagus</i> spp.). Jackrabbits (<i>Lepus</i> spp.) are particularly important components of the ecological and economic landscape of western North America because their abundance influences the reproductive success and population trends of predators such as coyotes (<i>Canis latrans</i>), bobcats (<i>Lynx rufus</i>), and a number of raptor species. Here, we review literature pertaining to black-tailed and white-tailed jackrabbits comprising over 170 published journal articles, notes, technical reports, conference proceedings, academic theses and dissertations, and other sources dating from the late 19th century to the present. Our goal is to present information to assist those in research and management, particularly with regard to protected raptor species (e.g., Golden Eagles), mammalian predators, and ecological monitoring. We classified literature sources as (1) general information on jackrabbit species, (2) black-tailed or (3) white-tailed jackrabbit ecology and natural history, or (4) survey methods. These categories, especially 2, 3, and 4, were further subdivided as appropriate. The review also produced several tables on population trends, food habits, densities within various habitats, and jackrabbit growth and development. Black-tailed and white-tailed jackrabbits are ecologically similar in general behaviors, use of forms, parasites, and food habits, and they are prey to similar predators; but they differ in their preferred habitats. While the black-tailed jackrabbit inhabits agricultural land, deserts, and shrublands, the white-tailed jackrabbit is associated with prairies, alpine tundra, and sagebrush-steppe. Frequently considered abundant, jackrabbit numbers in western North America fluctuate temporally and spatially. We also reviewed methods used to investigate jackrabbit populations, including spotlight line transects, flushing transects, drive counts, pellet plot counts, collections, roadside counts, mark-recapture studies, and radio-telemetry studies. Our review of jackrabbit literature illustrates a number of deficiencies in our understanding of jackrabbits in general. As an example, a detailed quantitative description of habitat preferences is lacking, as is a thorough understanding of sympatric jackrabbit species interactions. Even the existence of the oft-cited jackrabbit &ldquo;cycle&rdquo; is a matter of debate. Survey methods generally do not address efficacy or accuracy in measuring jackrabbit density or abundance. In addition, there is a paucity of information about jackrabbits in the Mojave Desert, with no real understanding of home ranges, habitat preferences, and population dynamics or demographics in this region.</p>","language":"English","publisher":"Brigham Young University","publisherLocation":"Provo, UT","doi":"10.3398/064.075.0406","usgsCitation":"Simes, M., Longshore, K.M., Nussear, K.E., Beatty, G.L., Brown, D.E., and Esque, T., 2015, Black-tailed and white-tailed jackrabbits in the American West: History, ecology, ecological significance, and survey methods: Western North American Naturalist, v. 75, no. 4, p. 491-519, https://doi.org/10.3398/064.075.0406.","productDescription":"19 p.","startPage":"491","endPage":"519","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068600","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488410,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Center","active":true,"usgs":true}],"preferred":true,"id":621431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":621432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":621433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beatty, Greg L.","contributorId":167232,"corporation":false,"usgs":false,"family":"Beatty","given":"Greg","email":"","middleInitial":"L.","affiliations":[{"id":24651,"text":"USFWS, Phoenix, AZ","active":true,"usgs":false}],"preferred":false,"id":621434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, David E.","contributorId":49421,"corporation":false,"usgs":true,"family":"Brown","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":621435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":145679,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":621430,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70158916,"text":"70158916 - 2015 - Mining for metals in society's waste","interactions":[],"lastModifiedDate":"2016-06-17T09:38:56","indexId":"70158916","displayToPublicDate":"2015-10-01T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5008,"text":"The Conversation","active":true,"publicationSubtype":{"id":10}},"title":"Mining for metals in society's waste","docAbstract":"<p>Metals are crucial to society and enable our modern standard of living. Look around and you can't help but see products made of metals. For instance, a typical gasoline-powered automobile contains over a ton of iron and steel, 240 pounds of aluminum, 42 pounds of copper, 41 pounds of silicon, 22 pounds of zinc and more than 30 other mineral commodities including titanium, platinum and gold.</p>\n<p>Metals and minerals are natural resources that human beings have been mining for thousands of years. Contemporary metal mining is dominated by iron ore, copper and gold, with 2 billion tons of iron ore, nearly 20 million tons of copper and 2,000 tons of gold produced every year. Tens to hundreds of tons of other metals that are essential components for electronics, green energy production, and high-technology products are produced annually.</p>","language":"English","publisher":"The Conversation US","publisherLocation":"Boston, MA","usgsCitation":"Smith, K.S., Plumlee, G.S., and Hageman, P.L., 2015, Mining for metals in society's waste: The Conversation, p. 1-5.","productDescription":"5 p.","startPage":"1","endPage":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068802","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":309709,"type":{"id":15,"text":"Index Page"},"url":"https://theconversation.com/mining-for-metals-in-societys-waste-43766"},{"id":309721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56164257e4b0ba4884c614ad","contributors":{"authors":[{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":576829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":576831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":576830,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70158912,"text":"70158912 - 2015 - Groundwater recharge assessment at local and episodic scale in a soil mantled perched karst aquifer in southern Italy","interactions":[],"lastModifiedDate":"2015-10-07T11:11:03","indexId":"70158912","displayToPublicDate":"2015-10-01T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater recharge assessment at local and episodic scale in a soil mantled perched karst aquifer in southern Italy","docAbstract":"<p id=\"sp0010\">Groundwater recharge assessment of karst aquifers, at various spatial and temporal scales, is a major scientific topic of current importance, since these aquifers play an essential role for both socio-economic development and fluvial ecosystems.</p>\n<p id=\"sp0015\">In this study, groundwater recharge was estimated at local and episodic scales in a representative perched karst aquifer in a region of southern Italy with a Mediterranean climate. The research utilized measurements of precipitation, air temperature, soil water content, and water-table depth, obtained in 2008 at the Acqua della Madonna test area (Terminio Mount karst aquifer, Campania region). At this location the aquifer is overlain by ash-fall pyroclastic soils. The Episodic Master Recession (EMR) method, an improved version of the Water Table Fluctuation (WTF) method, was applied to estimate the amount of recharge generated episodically by individual rainfall events. The method also quantifies the amount of precipitation generating each recharge episode, thus permitting calculation of the Recharge to the Precipitation Ratio (RPR) on a storm-by-storm basis.</p>\n<p id=\"sp0020\">Depending on the seasonally varying air temperature, evapotranspiration, and precipitation patterns, calculated values of RPR varied between 35% and 97% among the individual episodes. A multiple linear correlation of the RPR with both the average intensity of recharging rainfall events and the antecedent soil water content was calculated. Given the relatively easy measurability of precipitation and soil water content, such an empirical model would have great hydrogeological and practical utility. It would facilitate short-term forecasting of recharge in karst aquifers of the Mediterranean region and other aquifers with similar hydrogeological characteristics. By establishing relationships between the RPR and climate-dependent variables such as average storm intensity, it would facilitate prediction of climate-change effects on groundwater recharge. The EMR methodology could further be applied to other aquifers for evaluating the relationship of recharge to various hydrometeorological and hydrogeological processes.</p>","language":"English","publisher":"European Geophysical Society","publisherLocation":"New York, NY","doi":"10.1016/j.jhydrol.2015.08.032","usgsCitation":"Allocca, V., De Vita, P., Manna, F., and Nimmo, J.R., 2015, Groundwater recharge assessment at local and episodic scale in a soil mantled perched karst aquifer in southern Italy: Journal of Hydrology, v. 529, no. 3, p. 843-853, https://doi.org/10.1016/j.jhydrol.2015.08.032.","productDescription":"11 p.","startPage":"843","endPage":"853","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068702","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":309722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"529","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5616423ee4b0ba4884c61494","contributors":{"authors":[{"text":"Allocca, V.","contributorId":149077,"corporation":false,"usgs":false,"family":"Allocca","given":"V.","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":576822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Vita, P.","contributorId":26207,"corporation":false,"usgs":true,"family":"De Vita","given":"P.","affiliations":[],"preferred":false,"id":576821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manna, F.","contributorId":149078,"corporation":false,"usgs":false,"family":"Manna","given":"F.","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":576823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":576820,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148003,"text":"70148003 - 2015 - Ground motion-simulations of 1811-1812 New Madrid earthquakes, central United States","interactions":[],"lastModifiedDate":"2016-01-29T10:55:09","indexId":"70148003","displayToPublicDate":"2015-10-01T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Ground motion-simulations of 1811-1812 New Madrid earthquakes, central United States","docAbstract":"<p>We performed a suite of numerical simulations based on the 1811&ndash;1812 New Madrid seismic zone (NMSZ) earthquakes, which demonstrate the importance of 3D geologic structure and rupture directivity on the ground‐motion response throughout a broad region of the central United States (CUS) for these events. Our simulation set consists of 20 hypothetical earthquakes located along two faults associated with the current seismicity trends in the NMSZ. The hypothetical scenarios range in magnitude from <strong>M</strong> 7.0 to 7.7 and consider various epicenters, slip distributions, and rupture characterization approaches. The low‐frequency component of our simulations was computed deterministically up to a frequency of 1 Hz using a regional 3D seismic velocity model and was combined with higher‐frequency motions calculated for a 1D medium to generate broadband synthetics (0&ndash;40 Hz in some cases). For strike‐slip earthquakes located on the southwest&ndash;northeast‐striking NMSZ axial arm of seismicity, our simulations show 2&ndash;10 s period energy channeling along the trend of the Reelfoot rift and focusing strong shaking northeast toward Paducah, Kentucky, and Evansville, Indiana, and southwest toward Little Rock, Arkansas. These waveguide effects are further accentuated by rupture directivity such that an event with a western epicenter creates strong amplification toward the northeast, whereas an eastern epicenter creates strong amplification toward the southwest. These effects are not as prevalent for simulations on the reverse‐mechanism Reelfoot fault, and large peak ground velocities (&gt;40&thinsp;&thinsp;cm/s) are typically confined to the near‐source region along the up‐dip projection of the fault. Nonetheless, these basin response and rupture directivity effects have a significant impact on the pattern and level of the estimated intensities, which leads to additional uncertainty not previously considered in magnitude estimates of the 1811&ndash;1812 sequence based only on historical reports.</p>\n<p>The region covered by our simulation domain encompasses a large portion of the CUS centered on the NMSZ, including several major metropolitan areas. Based on our simulations, more than eight million people living and working near the NMSZ would experience potentially damaging ground motion and modified Mercalli intensities ranging from VI to VIII if a repeat of the 1811&ndash;1812 earthquakes occurred today. Moreover, the duration of strong ground shaking in the greater Memphis metropolitan area could last from 30 to more than 60 s, depending on the magnitude and epicenter.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120140330","usgsCitation":"Ramirez-Guzman, L., Graves, R., Olsen, K., Boyd, O.S., Cramer, C.H., Hartzell, S.H., Ni, S., Somerville, P.G., Williams, R., and Zhong, J., 2015, Ground motion-simulations of 1811-1812 New Madrid earthquakes, central United States: Bulletin of the Seismological Society of America, v. 105, no. 4, p. 1961-1988, https://doi.org/10.1785/0120140330.","productDescription":"28 p.","startPage":"1961","endPage":"1988","numberOfPages":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065550","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":315045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Missouri, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.6976318359375,\n              35.290468565908775\n            ],\n            [\n              -90.6536865234375,\n              35.764343479667176\n            ],\n            [\n              -90.5108642578125,\n              36.1733569352216\n            ],\n            [\n              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rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":546726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olsen, Kim","contributorId":117549,"corporation":false,"usgs":false,"family":"Olsen","given":"Kim","email":"","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":546727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":546728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cramer, Chris H.","contributorId":32196,"corporation":false,"usgs":true,"family":"Cramer","given":"Chris","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":546729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":546730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ni, Sidao","contributorId":140740,"corporation":false,"usgs":false,"family":"Ni","given":"Sidao","email":"","affiliations":[{"id":13552,"text":"URS Corportation","active":true,"usgs":false}],"preferred":false,"id":546731,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Somerville, Paul G.","contributorId":47392,"corporation":false,"usgs":true,"family":"Somerville","given":"Paul","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":546732,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Robert 0000-0002-2973-8493 rawilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":140741,"corporation":false,"usgs":true,"family":"Williams","given":"Robert","email":"rawilliams@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":546733,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhong, Jinquan","contributorId":140742,"corporation":false,"usgs":false,"family":"Zhong","given":"Jinquan","email":"","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":546734,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70159484,"text":"70159484 - 2015 - <i>Malaclemys terrapin rhizophorarum</i> (mangrove diamond-backed terrapin)","interactions":[],"lastModifiedDate":"2016-07-11T15:42:06","indexId":"70159484","displayToPublicDate":"2015-10-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"<i>Malaclemys terrapin rhizophorarum</i> (mangrove diamond-backed terrapin)","docAbstract":"<p>MALACLEMYS TERRAPIN RHIZOPHORARUM (Mangrove Diamond-backed Terrapin). DIET. Malaclemys terrapin rhizophorarum, one of seven subspecies of M. terrapin, inhabits subtropical mangrove habitats in South Florida, USA. In temperate climates M. terrapin is largely carnivorous, feeding primarily on gastropods, bivalves, and decapod crustaceans (Tucker et. al. 1995. Herpetologica 51:167&ndash;181; Butler et. al. 2012. Chelon. Conserv. Biol. 11:124&ndash;128). In addition to its preferred prey, M. t. rhizophorarum has also been reported to consume barnacles, fish, and vegetation (Tucker et. al. 1995, op. cit.; Butler et. al. 2012, op. cit.; Tulipani 2013. Ph.D. Dissertation. The College of William and Mary, Williamsburg, Virginia. 224 pp.). Herein, we report observations regarding the diet of M. t. rhizophorarum from the southernmost extent of their range in the Florida Keys, USA.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","publisherLocation":"Lawrence, KS","usgsCitation":"Denton, M.J., Hart, K.M., Oelinik, A., Wood, R., and Baldwin, J.N., 2015, <i>Malaclemys terrapin rhizophorarum</i> (mangrove diamond-backed terrapin): Herpetological Review, v. 46, no. 3, p. 426-427.","productDescription":"2 p.","startPage":"426","endPage":"427","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061838","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":310999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563b3a45e4b0d6133fe75c68","contributors":{"authors":[{"text":"Denton, Mathew J. 0000-0002-1024-3722 mdenton@usgs.gov","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":4862,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","email":"mdenton@usgs.gov","middleInitial":"J.","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":579170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":579171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oelinik, Anton","contributorId":149693,"corporation":false,"usgs":false,"family":"Oelinik","given":"Anton","email":"","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":579172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Roger","contributorId":149694,"corporation":false,"usgs":false,"family":"Wood","given":"Roger","email":"","affiliations":[{"id":17785,"text":"Richard Stockton College of New Jersey","active":true,"usgs":false}],"preferred":false,"id":579173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldwin, John N.","contributorId":58551,"corporation":false,"usgs":true,"family":"Baldwin","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":579174,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159290,"text":"70159290 - 2015 - Z chromosome divergence, polymorphism and relative effective population size in a genus of lekking birds","interactions":[],"lastModifiedDate":"2015-10-21T10:15:15","indexId":"70159290","displayToPublicDate":"2015-10-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1890,"text":"Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Z chromosome divergence, polymorphism and relative effective population size in a genus of lekking birds","docAbstract":"<p><span>Sex chromosomes contribute disproportionately to species boundaries as they diverge faster than autosomes and often have reduced diversity. Their hemizygous nature contributes to faster divergence and reduced diversity, as do some types of selection. In birds, other factors (mating system and bottlenecks) can further decrease the effective population size of Z-linked loci and accelerate divergence (Fast-Z). We assessed Z-linked divergence and effective population sizes for two polygynous sage-grouse species and compared them to estimates from birds with various mating systems. We found lower diversity and higher F</span><sub>ST</sub><span>&nbsp;for Z-linked loci than for autosomes, as expected. The&nbsp;</span><span class=\"mb\">&pi;</span><sub>Z</sub><span class=\"mb\">/</span><span class=\"mb\">&pi;</span><sub>A</sub><span>&nbsp;ratio was 0.38 in Centrocercus minimus, 0.48 in Centrocercus urophasianus and 0.59 in a diverged, parapatric population of C. urophasianus, a broad range given the mating system among these groups is presumably equivalent. The full data set had unequal males and females across groups, so we compared an equally balanced reduced set of C. minimus and individuals pooled from both C. urophasianus subgroups recovering similar estimates: 0.54 for C. urophasianus and 0.38 for C. minimus. We provide further evidence that N</span><sub>eZ</sub><span class=\"mb\">/</span><span>N</span><sub>eA</sub><span>&nbsp;in birds is often lower than expected under random mating or monogamy. The lower ratio in C. minimus could be a consequence of stronger selection or drift acting on Z loci during speciation, as this species differs strongly from C. urophasianus in sexually selected characters with minimal mitochondrial divergence. As C. minimus also exhibited lower genomic diversity, it is possible that a more severe demographic history may contribute to its lower ratio.</span></p>","language":"English","publisher":"Genetical Society","publisherLocation":"London","doi":"10.1038/hdy.2015.46","usgsCitation":"Oyler-McCance, S.J., Cornman, R.S., Jones, K.L., and Fike, J.A., 2015, Z chromosome divergence, polymorphism and relative effective population size in a genus of lekking birds: Heredity, v. 115, p. 452-459, https://doi.org/10.1038/hdy.2015.46.","productDescription":"8 p.","startPage":"452","endPage":"459","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052506","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/hdy.2015.46","text":"Publisher Index Page"},{"id":310254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-27","publicationStatus":"PW","scienceBaseUri":"5628b750e4b0d158f5926c6a","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":577970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":577971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Kenneth L.","contributorId":149326,"corporation":false,"usgs":false,"family":"Jones","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[{"id":17704,"text":"University of Colorado, School of Medicine","active":true,"usgs":false}],"preferred":false,"id":577972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fike, Jennifer A. 0000-0001-8797-7823 fikej@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":140875,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer","email":"fikej@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":577973,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159488,"text":"70159488 - 2015 - Seasonal thermal ecology of adult walleye (Sander vitreus) in Lake Huron and Lake Erie","interactions":[],"lastModifiedDate":"2015-11-04T10:12:15","indexId":"70159488","displayToPublicDate":"2015-10-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal thermal ecology of adult walleye (Sander vitreus) in Lake Huron and Lake Erie","docAbstract":"<p><span>The purpose of this study was to characterize thermal patterns and generate occupancy models for adult walleye from lakes Erie and Huron with internally implanted biologgers coupled with a telemetry study to assess the effects of sex, fish size, diel periods, and lake. Sex, size, and diel periods had no effect on thermal occupancy of adult walleye in either lake. Thermal occupancy differed between lakes and seasons. Walleye from Lake Erie generally experienced higher temperatures throughout the spring and summer months than did walleye in Lake Huron, due to limnological differences between the lakes. Tagged walleye that remained in Saginaw Bay, Lake Huron (i.e., adjacent to the release location), as opposed to those migrating to the main basin of Lake Huron, experienced higher temperatures, and thus accumulated more thermal units (the amount of temperature units amassed over time) throughout the year. Walleye that migrated toward the southern end of Lake Huron occupied higher temperatures than those that moved toward the north. Consequently, walleye that emigrated from Saginaw Bay experienced thermal environments that were more favorable for growth as they spent more time within their thermal optimas than those that remained in Saginaw Bay. Results presented in this paper provide information on the thermal experience of wild fish in a large lake, and could be used to refine sex- and lake-specific bioenergetics models of walleye in the Great Lakes to enable the testing of ecological hypotheses.</span></p>","language":"English","publisher":"Elsevier Science","publisherLocation":"New York, NY","doi":"10.1016/j.jtherbio.2015.08.009","usgsCitation":"Peat, T., Hayden, T.A., Gutowsky, L.F., Vandergoot, C.S., Fielder, D., Madenjian, C.P., Murchie, K.J., Dettmers, J.M., Krueger, C., and Cooke, S., 2015, Seasonal thermal ecology of adult walleye (Sander vitreus) in Lake Huron and Lake Erie: Journal of Thermal Biology, v. 53, p. 98-106, https://doi.org/10.1016/j.jtherbio.2015.08.009.","productDescription":"9 p.","startPage":"98","endPage":"106","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062613","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":310998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563b3a47e4b0d6133fe75c6d","contributors":{"authors":[{"text":"Peat, Tyler B","contributorId":149695,"corporation":false,"usgs":false,"family":"Peat","given":"Tyler B","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":579180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayden, Todd A. 0000-0002-0451-0425 thayden@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-0425","contributorId":5987,"corporation":false,"usgs":true,"family":"Hayden","given":"Todd","email":"thayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":579181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gutowsky, Lee F G","contributorId":149696,"corporation":false,"usgs":false,"family":"Gutowsky","given":"Lee","email":"","middleInitial":"F G","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":579182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher S.","contributorId":71849,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":579183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fielder, David G.","contributorId":85434,"corporation":false,"usgs":true,"family":"Fielder","given":"David G.","affiliations":[],"preferred":false,"id":579184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":579179,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murchie, Karen J","contributorId":149697,"corporation":false,"usgs":false,"family":"Murchie","given":"Karen","email":"","middleInitial":"J","affiliations":[{"id":17787,"text":"College of The Bahamas","active":true,"usgs":false}],"preferred":false,"id":579185,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dettmers, John M.","contributorId":27395,"corporation":false,"usgs":true,"family":"Dettmers","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":579186,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":579187,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":579188,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70156840,"text":"sir20155121 - 2015 - Groundwater-level and storage-volume changes in the <i>Equus</i> Beds aquifer near Wichita, Kansas, predevelopment through January 2015","interactions":[],"lastModifiedDate":"2015-10-01T10:16:44","indexId":"sir20155121","displayToPublicDate":"2015-10-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5121","title":"Groundwater-level and storage-volume changes in the <i>Equus</i> Beds aquifer near Wichita, Kansas, predevelopment through January 2015","docAbstract":"<p>Development of the Wichita well field began in the 1940s in the <i>Equus</i> Beds aquifer to provide the city of Wichita, Kansas, a new water-supply source. After development of the Wichita well field began, groundwater levels began to decline. Extensive development of irrigation wells that began in the 1970s also contributed to substantial groundwater-level declines. Groundwater-level declines likely enhance movement of brine from past oil and gas production near Burrton, Kansas, and natural saline water from the Arkansas River into the Wichita well field. Groundwater levels reached a historical minimum in 1993 because of drought conditions, irrigation, and the city of Wichita&rsquo;s withdrawals from the aquifer. In 1993, the city of Wichita adopted the Integrated Local Water Supply Program to ensure that Wichita&rsquo;s water needs would be met through the year 2050 and beyond as part of its efforts to manage the part of the <i>Equus</i> Beds aquifer Wichita uses. A key component of the Integrated Local Water Supply Program was the <i>Equus</i> Beds Aquifer Storage and Recovery project. The Aquifer Storage and Recovery project&rsquo;s goal is to store and eventually recover groundwater and help protect the <i>Equus</i> Beds aquifer from oil-field brine water near Burrton, Kansas, and saline water from the Arkansas River. Since 1940, the U.S. Geological Survey has monitored groundwater levels and storage-volume changes in the <i>Equus</i> Beds aquifer to provide data to the city of Wichita in order to better manage its water supply.</p>\n<p>Groundwater mostly flowed from west to east in the shallow and deep parts of the <i>Equus</i> Beds aquifer in January 2015. A large area of declines greater than 10 feet in the shallow part of the <i>Equus</i> Beds aquifer from predevelopment (before substantial pumpage began in the area in September 1940) to January 2015 covered most of the central part of the study area, where the city of Wichita well field is located, and extended beyond it. Groundwater-level rises of greater than 10 feet from 1993 (the historical minimum groundwater levels) to January 2015 covered most of the central part of the study area in the shallow and deep parts of the <i>Equus</i> Beds aquifer; rises of greater than 20 feet mostly were within the north-central part of the study area. The 1993 to January 2015 recovery of storage volume previously lost from predevelopment to 1993 was about 46 percent (55,200 acre-feet) for the central part of the study area and the percentage recovery was larger than the 31 percent (59,800 acre-feet) recovery for the entire study area. Groundwater-level rises and the larger percentage recovery of storage volume in the central part of the study area was most likely a result of the city of Wichita adopting the Integrated Local Water Supply Program strategy which reduced Wichita&rsquo;s pumpage from the <i>Equus</i> Beds aquifer in 2014 to the smallest amount since 1940. January 2015 storage volumes were about 96 percent (3,057,000 acre-feet) and 94 percent (960,000 acre-feet) of total aquifer storage for the study area and the central part of the study area, respectively.</p>\n<p>Groundwater levels from January 2014 to January 2015 in the central part of the study area rose about 3 feet in some places, probably because Wichita reduced its withdrawals from the aquifer in 2014 by more than 50 percent. Groundwater levels probably recovered less than anticipated because of decreased recharge and net groundwater flow and increased agricultural pumpage. A volumetric water budget for the central part of the study area between 2013 and 2014 showed that the substantial decrease in total pumping (10,412 acre-feet) did not result in an increase in storage volume because it was more than offset by decreased recharge (6,502 acre-feet; artificial and from precipitation) and an even greater decrease in net groundwater flow (11,710 acre-feet).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155121","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Whisnant, J.A., Hansen, C.V., and Eslick, P.J., 2015, Groundwater-level and storage-volume changes in the <i>Equus</i> Beds Aquifer near Wichita, Kansas, predevelopment through January 2015: U.S. Geological Survey Scientific Investigations Report 2015–5121, 27 p., https://dx.doi.org/10.3133/sir20155121.","productDescription":"Report: vi, 27 p.; Appendix","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067226","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":308476,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5121/sir20155121Apptable1.xlsx","text":"Appendix 1 Table 1–1","size":"97.2 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1"},{"id":308474,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5121/coverthb.jpg"},{"id":308475,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5121/sir20155121.pdf","text":"Report","size":"8.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5121"}],"country":"United States","state":"Kansas","city":"Wichita","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n    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Quail Crest Place<br /> Lawrence, KS 66049<br /><a href=\"http://ks.water.usgs.gov/\">http://ks.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Potentiometric-Surface Maps, Predevelopment and January 2015</li>\n<li>Groundwater-Level and Storage-Volume Changes in the <em>Equus</em> Beds Aquifer</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendix 1</li>\n</ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2015-10-01","noUsgsAuthors":false,"publicationDate":"2015-10-01","publicationStatus":"PW","scienceBaseUri":"563486bfe4b048076347fb2b","contributors":{"authors":[{"text":"Whisnant, Joshua A. jwhisnant@usgs.gov","contributorId":5808,"corporation":false,"usgs":true,"family":"Whisnant","given":"Joshua","email":"jwhisnant@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":570787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Cristi V. chansen@usgs.gov","contributorId":147217,"corporation":false,"usgs":true,"family":"Hansen","given":"Cristi V.","email":"chansen@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":570788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eslick, Patrick J. 0000-0003-2611-6012 peslick@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-6012","contributorId":147218,"corporation":false,"usgs":true,"family":"Eslick","given":"Patrick","email":"peslick@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":570789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168422,"text":"70168422 - 2015 - Evidence that dorsally mounted satellite transmitters affect migration chronology of Northern Pintails","interactions":[],"lastModifiedDate":"2018-07-14T14:02:35","indexId":"70168422","displayToPublicDate":"2015-10-01T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence that dorsally mounted satellite transmitters affect migration chronology of Northern Pintails","docAbstract":"<p>We compared migration movements and chronology between Northern Pintails (<i>Anas acuta</i>) marked with dorsally mounted satellite transmitters and pintails marked only with tarsus rings. During weekly intervals of spring and autumn migration between their wintering area in Japan and nesting areas in Russia, the mean distance that ringed pintails had migrated was up to 1000 km farther than the mean distance radiomarked pintails migrated. Radiomarked pintails were detected at spring migration sites on average 9.9 days (90 % CI 8.0, 11.8) later than ringed pintails that were recovered within 50 km. Although ringed and radiomarked pintails departed from Japan on similar dates, the disparity in detection of radiomarked versus ringed pintails at shared sites increased 7.7 days (90 % CI 5.2, 10.2) for each 1000 km increase in distance from Japan. Thus, pintails marked with satellite transmitters arrived at nesting areas that were 2500 km from Japan on average 19 days later than ringed birds. Radiomarked pintails were detected at autumn migration stopovers on average 13.1 days (90 % CI 9.8, 16.4) later than ringed birds that were recovered within 50 km. We hypothesize that dorsal attachment of 12&ndash;20 g satellite transmitters to Northern Pintails increased the energetic cost of flight, which resulted in more rapid depletion of energetic reserves and shortened the distance pintails could fly without refueling. Radiomarked pintails may have used more stopovers or spent longer periods at stopovers. causing their migration schedule to diverge from ringed pintails. We urge further evaluation of the effects of dorsally mounted transmitters on migration chronology of waterfowl.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer Berlin","publisherLocation":"Heidelberg","doi":"10.1007/s10336-015-1218-1","usgsCitation":"Hupp, J.W., Kharitonov, S., Yamaguchi, N.M., Ozaki, K., Flint, P.L., Pearce, J.M., Tokita, K., Shimada, T., and Higuchi, H., 2015, Evidence that dorsally mounted satellite transmitters affect migration chronology of Northern Pintails: Journal of Ornithology, v. 156, no. 4, p. 977-989, https://doi.org/10.1007/s10336-015-1218-1.","productDescription":"13 p.","startPage":"977","endPage":"989","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059194","costCenters":[{"id":117,"text":"Alaska Science Center Biology 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Hiroyoshi","contributorId":69850,"corporation":false,"usgs":true,"family":"Higuchi","given":"Hiroyoshi","email":"","affiliations":[],"preferred":false,"id":620023,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70158672,"text":"70158672 - 2015 - Life stage influences the resistance and resilience of black mangrove forests to winter climate extremes","interactions":[],"lastModifiedDate":"2016-07-17T23:27:26","indexId":"70158672","displayToPublicDate":"2015-10-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Life stage influences the resistance and resilience of black mangrove forests to winter climate extremes","docAbstract":"<p>In subtropical coastal wetlands on multiple continents, climate change-induced reductions in the frequency and intensity of freezing temperatures are expected to lead to the expansion of woody plants (i.e., mangrove forests) at the expense of tidal grasslands (i.e., salt marshes). Since some ecosystem goods and services would be affected by mangrove range expansion, there is a need to better understand mangrove sensitivity to freezing temperatures as well as the implications of changing winter climate extremes for mangrove-salt marsh interactions. In this study, we investigated the following questions: (1) how does plant life stage (i.e., ontogeny) influence the resistance and resilience of black mangrove (Avicennia germinans) forests to freezing temperatures; and (2) how might differential life stage responses to freeze events affect the rate of mangrove expansion and salt marsh displacement due to climate change? To address these questions, we quantified freeze damage and recovery for different life stages (seedling, short tree, and tall tree) following extreme winter air temperature events that occurred near the northern range limit of A. germinans in North America. We found that life stage affects black mangrove forest resistance and resilience to winter climate extremes in a nonlinear fashion. Resistance to winter climate extremes was high for tall A. germinans trees and seedlings, but lowest for short trees. Resilience was highest for tall A. germinans trees. These results suggest the presence of positive feedbacks and indicate that climate-change induced decreases in the frequency and intensity of extreme minimum air temperatures could lead to a nonlinear increase in mangrove forest resistance and resilience. This feedback could accelerate future mangrove expansion and salt marsh loss at rates beyond what would be predicted from climate change alone. In general terms, our study highlights the importance of accounting for differential life stage responses and positive feedbacks when evaluating the ecological effects of changes in the frequency and magnitude of climate extremes.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES15-00042.1","usgsCitation":"Osland, M.J., Day, R.H., From, A.S., McCoy, M.L., McLeod, J.L., and Kelleway, J., 2015, Life stage influences the resistance and resilience of black mangrove forests to winter climate extremes: Ecosphere, v. 6, no. 9, art160: 15 p., https://doi.org/10.1890/ES15-00042.1.","productDescription":"art160: 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061879","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471740,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es15-00042.1","text":"Publisher Index Page"},{"id":309541,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Leeville","otherGeospatial":"Port Fourchon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.24890899658203,\n              29.10777630556152\n            ],\n            [\n              -90.24890899658203,\n              29.245367227657756\n            ],\n            [\n              -90.15655517578125,\n              29.245367227657756\n            ],\n            [\n              -90.15655517578125,\n              29.10777630556152\n            ],\n            [\n              -90.24890899658203,\n              29.10777630556152\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"9","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-28","publicationStatus":"PW","scienceBaseUri":"56139f44e4b0ba4884c60faa","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":576431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":576432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":576433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCoy, Megan L.","contributorId":149005,"corporation":false,"usgs":false,"family":"McCoy","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":17616,"text":"McLemore Consulting, U.S. Geological Survey, National Wetlands Research Center, Lafayette, Louisiana, USA","active":true,"usgs":false}],"preferred":false,"id":576434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLeod, Jennie L.","contributorId":149006,"corporation":false,"usgs":false,"family":"McLeod","given":"Jennie","email":"","middleInitial":"L.","affiliations":[{"id":17617,"text":"McLeod Consulting, U.S. Geological Survey, National Wetlands Research Center, Lafayette, Louisiana, USA","active":true,"usgs":false}],"preferred":false,"id":576435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelleway, Jeffrey","contributorId":149007,"corporation":false,"usgs":false,"family":"Kelleway","given":"Jeffrey","email":"","affiliations":[{"id":17618,"text":"Plant Functional Biology and Climate Change Cluster, University of Technology, Sydney, Broadway, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":576436,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227649,"text":"70227649 - 2015 - Olistostrome shed eastward from the Antler orogenic forebulge, Bisoni-McKay area, Fish Creek Range, central Nevada","interactions":[],"lastModifiedDate":"2022-01-24T15:36:21.49209","indexId":"70227649","displayToPublicDate":"2015-10-01T09:24:06","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Olistostrome shed eastward from the Antler orogenic forebulge, Bisoni-McKay area, Fish Creek Range, central Nevada","docAbstract":"<p>The Bisoni-McKay area, a structurally isolated, fault-bounded horst, offset eastward at the south end of the Fish Creek Range, displays a geologic terrane that is previously unrecorded in Nevada, and perhaps elsewhere in North America. This unique terrane is an olistostrome that was shed eastward by listric faulting from the east side of the migrating Antler orogenic forebulge in Late Devonian (early Famennian, ca. 373 Ma) time. Stratigraphic identification of Devonian olistoliths and enclosing matrix that constitute the olistostrome, as well as overlying postemplacement units, is supported by correlation to formations in the main part of the Fish Creek Range and to the northwest in the northern Antelope Range. Precise zonal dating of map units and revised dating of Antler orogenic events are provided by 38 conodont collections recorded in the Devonian/Carboniferous (D/C) Conodont Database and by small collections of conodonts embedded in siltstone and mudstone. Our revision of regional geologic history uses Devonian conodont zones to measure “deep time” to circa millions of years before present.</p><p>The upper Upper Devonian (Famennian) tongue of the Woodruff Formation was deposited directly on the olistostrome and is overlain by clastic Mississippian synorogenic deposits. These deposits were shed eastward from the evolving Antler highland and related Roberts Mountains allochthon into the Antler foredeep.</p><p>We propose the following revised dates for important Devonian tectonic events in Nevada: initiation of Antler orogeny, ca. 385 Ma; downwarping of Pilot backbulge basin, ca. 382 Ma; initial uplift of the Antler highland, ca. 373 Ma; third, major pulse of highland uplift, ca. 364 Ma. A summation of regional geologic history indicates that the elapsed time from start of Antler orogeny to start of Roberts Mountains thrusting was ~30 m.y.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unusual central Nevada geologic terranes produced by Late Devonian antler orogeny and Alamo impact","largerWorkSubtype":{"id":15,"text":"Monograph"},"doi":"10.1130/2015.2517(01)","usgsCitation":"Poole, F.G., and Sandberg, C., 2015, Olistostrome shed eastward from the Antler orogenic forebulge, Bisoni-McKay area, Fish Creek Range, central Nevada, chap. <i>of</i> Unusual central Nevada geologic terranes produced by Late Devonian antler orogeny and Alamo impact, p. 1-38, https://doi.org/10.1130/2015.2517(01).","productDescription":"38 p.","startPage":"1","endPage":"38","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science 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,{"id":70249416,"text":"70249416 - 2015 - Emerging technologies to conserve biodiversity","interactions":[],"lastModifiedDate":"2023-10-06T14:20:37.859874","indexId":"70249416","displayToPublicDate":"2015-10-01T09:11:55","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Emerging technologies to conserve biodiversity","docAbstract":"<p><span>Technologies to identify individual animals, follow their movements, identify and locate animal and plant species, and assess the status of their habitats remotely have become better, faster, and cheaper as threats to the survival of species are increasing. New technologies alone do not save species, and new data create new problems. For example, improving technologies alone cannot prevent poaching: solutions require providing appropriate tools to the right people. Habitat loss is another driver: the challenge here is to connect existing sophisticated remote sensing with species occurrence data to predict where species remain. Other challenges include assembling a wider public to crowdsource data, managing the massive quantities of data generated, and developing solutions to rapidly emerging threats.</span></p>","language":"English","publisher":"CellPress","doi":"10.1016/j.tree.2015.08.008","usgsCitation":"Pimm, S.L., Alibhai, S., Bergl, R., Dehgan, A., Giri, C., Jewell, Z., Joppa, L.N., Kays, R., and Loarie, S., 2015, Emerging technologies to conserve biodiversity: Trends in Ecology and Evolution, v. 30, no. 11, p. 685-696, https://doi.org/10.1016/j.tree.2015.08.008.","productDescription":"12 p.","startPage":"685","endPage":"696","ipdsId":"IP-088487","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":421734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pimm, Stuart L.","contributorId":7148,"corporation":false,"usgs":true,"family":"Pimm","given":"Stuart","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":885778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alibhai, Sky","contributorId":330742,"corporation":false,"usgs":false,"family":"Alibhai","given":"Sky","email":"","affiliations":[],"preferred":false,"id":885779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergl, Richard","contributorId":330743,"corporation":false,"usgs":false,"family":"Bergl","given":"Richard","email":"","affiliations":[],"preferred":false,"id":885780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dehgan, Alex","contributorId":330744,"corporation":false,"usgs":false,"family":"Dehgan","given":"Alex","email":"","affiliations":[],"preferred":false,"id":885781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":189128,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jewell, Zoe","contributorId":330745,"corporation":false,"usgs":false,"family":"Jewell","given":"Zoe","email":"","affiliations":[],"preferred":false,"id":885782,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Joppa, Lucas N.","contributorId":99905,"corporation":false,"usgs":false,"family":"Joppa","given":"Lucas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":885783,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kays, Roland","contributorId":243449,"corporation":false,"usgs":false,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":885784,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loarie, Scott","contributorId":330746,"corporation":false,"usgs":false,"family":"Loarie","given":"Scott","email":"","affiliations":[],"preferred":false,"id":885785,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70269717,"text":"70269717 - 2015 - Remote sensing of actual evapotranspiration from croplands","interactions":[],"lastModifiedDate":"2025-12-30T17:26:35.319451","indexId":"70269717","displayToPublicDate":"2015-10-01T09:08:22","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Remote sensing of actual evapotranspiration from croplands","docAbstract":"<p><span>Agriculture accounted for the majority of human water use and for more than 90% of global freshwater consumption during the twentieth century (Hoekstra and Mekonnen, 2012; Shiklomanov, 2000). Streamflow depletion due to enhanced evapotranspiration (ET) from irrigated crops impacts freshwater ecosystems globally (Foley et al., 2005). Water scarcity limits crop production in many arid and semiarid regions, and water is likely to be a key resource limiting food production and food security in the twenty-first century (Foley et al., 2011; Vorosmarty et al., 2000). Despite this, estimates of the location and temporal dynamics of ET from croplands are often uncertain at a variety of spatial and temporal scales. Better information on ET can be useful in several applications at a range of spatial scales, including water resources, agronomy, and meteorology (e.g., Rivas and Caselles, 2004). At the scale of irrigation projects, maps of ET can assist with irrigation scheduling and demand assessment. Measurements of ET are required for monitoring plant water requirements, plant growth, and productivity, as well as for irrigation management and deciding when to carry out cultivation procedures (e.g., Consolli et al., 2006; Glenn et al., 2007; Yang et al., 2010).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of water resources, disasters, and urban studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781003541400","usgsCitation":"Biggs, T.W., Petropoulos, G.P., Velpuri, N.M., Marshall, M., Glenn, E., Nagler, P.L., and Messina, A., 2015, Remote sensing of actual evapotranspiration from croplands, chap. 3 <i>of</i> Remote sensing of water resources, disasters, and urban studies, p. 59-100, https://doi.org/10.1201/9781003541400.","productDescription":"41 p.","startPage":"59","endPage":"100","ipdsId":"IP-162608","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":493178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-10-30","publicationStatus":"PW","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":944523,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Biggs, Trent W.","contributorId":187592,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","email":"","middleInitial":"W.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":944508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petropoulos, George P.","contributorId":174669,"corporation":false,"usgs":false,"family":"Petropoulos","given":"George","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":944515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":944522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marshall, Michael","contributorId":145855,"corporation":false,"usgs":false,"family":"Marshall","given":"Michael","affiliations":[{"id":16265,"text":"Dept. of Geography, UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":944514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":944517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":944509,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Messina, Alex","contributorId":174670,"corporation":false,"usgs":false,"family":"Messina","given":"Alex","email":"","affiliations":[],"preferred":false,"id":944516,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70176427,"text":"70176427 - 2015 - Estuarine fish communities respond to climate variability over both river and ocean basins","interactions":[],"lastModifiedDate":"2017-05-18T11:36:41","indexId":"70176427","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Estuarine fish communities respond to climate variability over both river and ocean basins","docAbstract":"<p><span>Estuaries are dynamic environments at the land–sea interface that are strongly affected by interannual climate variability. Ocean–atmosphere processes propagate into estuaries from the sea, and atmospheric processes over land propagate into estuaries from watersheds. We examined the effects of these two separate climate-driven processes on pelagic and demersal fish community structure along the salinity gradient in the San Francisco Estuary, California, USA. A 33-year data set (1980–2012) on pelagic and demersal fishes spanning the freshwater to marine regions of the estuary suggested the existence of five estuarine salinity fish guilds: limnetic (salinity&nbsp;=&nbsp;0–1), oligohaline (salinity&nbsp;=&nbsp;1–12), mesohaline (salinity&nbsp;=&nbsp;6–19), polyhaline (salinity&nbsp;=&nbsp;19–28), and euhaline (salinity&nbsp;=&nbsp;29–32). Climatic effects propagating from the adjacent Pacific Ocean, indexed by the North Pacific Gyre Oscillation (NPGO), affected demersal and pelagic fish community structure in the euhaline and polyhaline guilds. Climatic effects propagating over land, indexed as freshwater outflow from the watershed (OUT), affected demersal and pelagic fish community structure in the oligohaline, mesohaline, polyhaline, and euhaline guilds. The effects of OUT propagated further down the estuary salinity gradient than the effects of NPGO that propagated up the estuary salinity gradient, exemplifying the role of variable freshwater outflow as an important driver of biotic communities in river-dominated estuaries. These results illustrate how unique sources of climate variability interact to drive biotic communities and, therefore, that climate change is likely to be an important driver in shaping the future trajectory of biotic communities in estuaries and other transitional habitats.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12969","usgsCitation":"Feyrer, F.V., Cloern, J.E., Brown, L.R., Fish, M., Hieb, K., and Baxter, R., 2015, Estuarine fish communities respond to climate variability over both river and ocean basins: Global Change Biology, v. 21, no. 10, p. 3608-3619, https://doi.org/10.1111/gcb.12969.","productDescription":"12 p.","startPage":"3608","endPage":"3619","ipdsId":"IP-064895","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.12969","text":"Publisher Index Page"},{"id":328606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.54837036132811,\n              37.413800350662875\n            ],\n            [\n              -122.54837036132811,\n              38.18638677411551\n            ],\n            [\n              -121.55273437499999,\n              38.18638677411551\n            ],\n            [\n              -121.55273437499999,\n              37.413800350662875\n            ],\n            [\n              -122.54837036132811,\n              37.413800350662875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-16","publicationStatus":"PW","scienceBaseUri":"57d92338e4b090824ffa1a71","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":5901,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":648721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fish, Maxfield","contributorId":174608,"corporation":false,"usgs":false,"family":"Fish","given":"Maxfield","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":648723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hieb, Kathryn","contributorId":174609,"corporation":false,"usgs":false,"family":"Hieb","given":"Kathryn","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":648724,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baxter, Randall","contributorId":43284,"corporation":false,"usgs":true,"family":"Baxter","given":"Randall","email":"","affiliations":[],"preferred":false,"id":648725,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191658,"text":"70191658 - 2015 - FORUM: Effective management of ecological resilience – are we there yet?","interactions":[],"lastModifiedDate":"2017-10-17T16:15:44","indexId":"70191658","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"FORUM: Effective management of ecological resilience – are we there yet?","docAbstract":"<ol id=\"jpe12497-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Ecological resilience is developing into a credible paradigm for policy development and environmental management for preserving natural capital in a rapidly changing world. However, resilience emerges from complex interactions, limiting the translation of theory into practice.</li><li>Main limitations include the following: (i) difficulty in quantification and detection of changes in ecological resilience, (ii) a lack of empirical evidence to support preventative or&nbsp;proactive management and (iii) difficulties in managing processes operating across socio-ecological systems that vary in space and time.</li><li>We highlight recent research with the potential to address these limitations including new and/or improved indicators of resilience and tools to assess scale as a driver of resilience.</li><li><i>Synthesis and applications</i>. Effective resilience-based management must be adaptive in nature. To support this, we propose an operational model using resilience-based iterative management actions operating across scales.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12497","usgsCitation":"Spears, B.M., Ives, S.C., Angeler, D., Allen, C.R., Birk, S., Carvalho, L., Cavers, S., Daunt, F., Morton, R.D., Pocock, M.J., Rhodes, G., and Thackeray, S.J., 2015, FORUM: Effective management of ecological resilience – are we there yet?: Journal of Applied Ecology, v. 52, no. 5, p. 1311-1315, https://doi.org/10.1111/1365-2664.12497.","productDescription":"5 p.","startPage":"1311","endPage":"1315","ipdsId":"IP-067089","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12497","text":"Publisher Index Page"},{"id":346753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-31","publicationStatus":"PW","scienceBaseUri":"59e71693e4b05fe04cd331c8","contributors":{"authors":[{"text":"Spears, Bryan M.","contributorId":197235,"corporation":false,"usgs":false,"family":"Spears","given":"Bryan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ives, Stephen C.","contributorId":197236,"corporation":false,"usgs":false,"family":"Ives","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":713050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":713051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birk, Sebastian","contributorId":197237,"corporation":false,"usgs":false,"family":"Birk","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":713053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carvalho, Laurence","contributorId":197238,"corporation":false,"usgs":false,"family":"Carvalho","given":"Laurence","email":"","affiliations":[],"preferred":false,"id":713054,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cavers, Stephen","contributorId":197239,"corporation":false,"usgs":false,"family":"Cavers","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":713055,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Daunt, Francis","contributorId":197240,"corporation":false,"usgs":false,"family":"Daunt","given":"Francis","email":"","affiliations":[{"id":36704,"text":"NERC Centre for Ecology & Hydrology, Penicuik, UK","active":true,"usgs":false}],"preferred":false,"id":713056,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morton, R. Daniel","contributorId":197241,"corporation":false,"usgs":false,"family":"Morton","given":"R.","email":"","middleInitial":"Daniel","affiliations":[],"preferred":false,"id":713057,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pocock, Michael J. O.","contributorId":197251,"corporation":false,"usgs":false,"family":"Pocock","given":"Michael","email":"","middleInitial":"J. O.","affiliations":[],"preferred":false,"id":713058,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rhodes, Glenn","contributorId":197252,"corporation":false,"usgs":false,"family":"Rhodes","given":"Glenn","email":"","affiliations":[],"preferred":false,"id":713059,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thackeray, Stephen J.","contributorId":197253,"corporation":false,"usgs":false,"family":"Thackeray","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713060,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
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