{"pageNumber":"783","pageRowStart":"19550","pageSize":"25","recordCount":40764,"records":[{"id":70042479,"text":"70042479 - 2010 - Mount Rainier National Park and Olympic National Park Elk Monitoring Program Annual Report 2010","interactions":[],"lastModifiedDate":"2017-11-22T16:05:35","indexId":"70042479","displayToPublicDate":"2015-06-22T13:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":52,"text":"Natural Resource Data Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2011/289","title":"Mount Rainier National Park and Olympic National Park Elk Monitoring Program Annual Report 2010","docAbstract":"<p>Fiscal year 2010 was the third year of gathering data needed for protocol development while simultaneously implementing what is expected to be the elk monitoring protocol at Mount Rainier (MORA) and Olympic (OLYM) national parks in the North Coast and Cascades Network (NCCN). Elk monitoring in these large wilderness parks relies on aerial surveys from a helicopter. Summer surveys are planned for both parks and are intended to provide quantitative estimates of abundance, sex and age composition, and distribution of migratory elk in high elevation trend count areas. Spring surveys are planned at Olympic National Park and are intended to provide quantitative estimates of abundance of resident and migratory elk on low-elevation winter ranges within surveyed trend count areas. An unknown number of elk is not detected during surveys. The protocol under development aims to estimate the number of missed elk by applying a model that accounts for detection bias. Detection bias in elk surveys in MORA will be estimated using a double-observer sightability model that was developed based on data from surveys conducted in 2008-2010. The model was developed using elk that were previously equipped with radio collars by cooperating tribes. That model is currently in peer review. At the onset of protocol development in OLYM there were no existing radio- collars on elk. Consequently double-observer sightability models have not yet been developed for elk surveys in OLYM; the majority of the effort in OLYM has been focused on capturing and radio collaring elk to permit the development of sightability models for application in OLYM. As a result, no estimates of abundance or composition are included in this annual report, only raw counts of the numbers of elk seen in surveys. At MORA each of the two trend count areas (North Rainier herd, and South Rainier herd) were surveyed twice. 290 and 380 elk were counted on the two replicates in the North Rainier herd, and 621 and 327 elk counted on the two replicate South Rainier counts. At Olympic National Park, each of three spring trend count areas was surveyed once in March 2010. 27 elk were observed in the South Fork Hoh trend count area, 137 elk were observed in the Hoh trend count area, and 131 elk were observed in the Queets trend count area. In September 2010, 18 elk were captured and fitted with radio collars as part of a contracted animal capture, eradication and tagging of animals (ACETA) operation. These animals will be available to contribute double-observer sightability data in future spring and summer surveys. There were no summer surveys for elk in OLYM in 2010.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Griffin, P., Happe, P.J., Jenkins, K.J., Reid, M., Vales, D.J., Moeller, B.J., Tirhi, M., McCorquodale, S., and Miller, P., 2010, Mount Rainier National Park and Olympic National Park Elk Monitoring Program Annual Report 2010: Natural Resource Data Series 2011/289, 42 p.","productDescription":"42 p.","numberOfPages":"42","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030477","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":310896,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fresc.usgs.gov/products/ProductDetails.aspx?ProductNumber=2759"},{"id":310897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mt. Rainier National Park, Olympic National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.55749511718749,\n              47.111261437080344\n            ],\n            [\n              -124.55749511718749,\n              48.36537369040198\n            ],\n            [\n              -122.728271484375,\n              48.36537369040198\n            ],\n            [\n              -122.728271484375,\n              47.111261437080344\n            ],\n            [\n              -124.55749511718749,\n              47.111261437080344\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.39044189453124,\n              46.164614496897094\n            ],\n            [\n              -122.39044189453124,\n              47.253135632244216\n            ],\n            [\n              -120.4815673828125,\n              47.253135632244216\n            ],\n            [\n              -120.4815673828125,\n              46.164614496897094\n            ],\n            [\n              -122.39044189453124,\n              46.164614496897094\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389759e4b0d6133fe72fcf","contributors":{"authors":[{"text":"Griffin, Paul pgriffin@usgs.gov","contributorId":140575,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul","email":"pgriffin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":578989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Happe, Patricia J.","contributorId":50983,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":16133,"text":"National Park Service, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":578990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":578991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, Mason","contributorId":51639,"corporation":false,"usgs":true,"family":"Reid","given":"Mason","affiliations":[],"preferred":false,"id":578992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vales, David J.","contributorId":74662,"corporation":false,"usgs":true,"family":"Vales","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":578993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moeller, Barbara J.","contributorId":87446,"corporation":false,"usgs":true,"family":"Moeller","given":"Barbara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":578994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tirhi, Michelle","contributorId":28168,"corporation":false,"usgs":false,"family":"Tirhi","given":"Michelle","affiliations":[{"id":13269,"text":"Washington Department of Fish & Wildlife","active":true,"usgs":false}],"preferred":false,"id":578995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCorquodale, Scott","contributorId":28515,"corporation":false,"usgs":true,"family":"McCorquodale","given":"Scott","affiliations":[],"preferred":false,"id":578996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Pat","contributorId":149627,"corporation":false,"usgs":false,"family":"Miller","given":"Pat","email":"","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":578997,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70038618,"text":"70038618 - 2010 - Development of inferential sensors for real-time quality control of water-level data for the Everglades Depth Estimation Network","interactions":[],"lastModifiedDate":"2015-10-29T12:33:43","indexId":"70038618","displayToPublicDate":"2015-06-08T08:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Development of inferential sensors for real-time quality control of water-level data for the Everglades Depth Estimation Network","docAbstract":"<p>The Everglades Depth Estimation Network (EDEN) is an integrated network of real-time water-level gaging stations, ground-elevation models, and watersurface models designed to provide scientists, engineers, and water-resource managers with current (2000-present) water-depth information for the entire freshwater portion of the greater Everglades. The generation of EDEN waterlevel surfaces is derived from real-time data. Real-time data are automatically checked for outliers using minimum, maximum, and rate-of-change thresholds for each station. Smaller errors in the real-time data, such as gradual drift of malfunctioning pressure transducers, are more difficult to immediately identify with visual inspection of time-series plots and may only be identified during on-site inspections of the gages. Correcting smaller errors in the data often is time consuming and water-level data may not be finalized for several months. To provide water-level surfaces on a daily basis, EDEN needed an automated process to identify errors in water-level data and to provide estimates for missing or erroneous waterlevel data.</p>\n<p>A technology often used for industrial applications is &ldquo;inferential sensor.&rdquo; Rather than installing a redundant sensor to measure a process, such as an additional waterlevel gage, an inferential sensor, or virtual sensor, is developed that estimates the processes measured by the physical sensor. The advantage of an inferential sensor is that it provides a redundant signal to the sensor in the field but without exposure to environmental threats. In the event that a gage does malfunction, the inferential sensor provides an estimate for the period of missing data. The inferential sensor also can be used in the quality assurance and quality control of the data. Inferential sensors for gages in the EDEN network are currently (2010) under development. The inferential sensors will be automated so that the real-time EDEN data will continuously be compared to the inferential sensor signal and digital reports of the status of the real-time data will be sent periodically to the appropriate support personnel. The development and application of inferential sensors is easily transferable to other real-time hydrologic monitoring networks.</p>","conferenceTitle":"Proceedings of the 2010 South Carolina Water Resources Conference","conferenceDate":"October 13-14, 2010","conferenceLocation":"Columbia, South Carolina","language":"English","usgsCitation":"Daamen, R.C., Edwin A. Roehl, J., and Conrads, P., 2010, Development of inferential sensors for real-time quality control of water-level data for the Everglades Depth Estimation Network, Proceedings of the 2010 South Carolina Water Resources Conference, Columbia, South Carolina, October 13-14, 2010, 4 p.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022769","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":310764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.84814453125,\n              24.958670130576788\n            ],\n            [\n              -81.84814453125,\n              26.56396337134019\n            ],\n            [\n              -80.19195556640625,\n              26.56396337134019\n            ],\n            [\n              -80.19195556640625,\n              24.958670130576788\n            ],\n            [\n              -81.84814453125,\n              24.958670130576788\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334337e4b048076347eebd","contributors":{"authors":[{"text":"Daamen, Ruby C.","contributorId":105391,"corporation":false,"usgs":true,"family":"Daamen","given":"Ruby","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":578705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwin A. Roehl, Jr.","contributorId":121477,"corporation":false,"usgs":true,"family":"Edwin A. Roehl","given":"Jr.","affiliations":[],"preferred":false,"id":578706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":578707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044345,"text":"70044345 - 2010 - Pliocene climate","interactions":[],"lastModifiedDate":"2016-03-30T09:15:08","indexId":"70044345","displayToPublicDate":"2015-01-26T09:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Pliocene climate","docAbstract":"<p>The Pliocene Epoch, 5.3 Ma to 1.8 Ma, was a time when paleoclimate conditions ranged from very warm, equable climates (on a global scale), rhythmically varying every 40,000 years, to high-amplitude glacial-interglacial cycles that led to the &ldquo;Ice Ages&rdquo; of the Pleistocene. Evidence for paleoclimate conditions comes from fossils, geochemical data, and the integration of these data with sophisticated numerical models. The Pliocene exhibited a range in atmospheric CO<sub>2</sub> concentrations with highs estimated to be at most ~425 ppm in the early Pliocene followed by overall decrease toward preindustrial levels by the close of the Pliocene Epoch (Pagani et al. 2010). Sea levels were estimated to be 25m higher than present day and the size and position of ice sheets in Greenland and Antarctica were decidedly different from today. On the other hand, by the mid-Pliocene, the majority of fauna and flora as well as continental configurations were basically the same as today. Man&rsquo;s ability to adapt to or mitigate the effects of future climate require a deep understanding of the rates and magnitude of future climate change on an ever finer scale. Since conditions projected for the end of this century are not in the human experience, we depend upon a combination of numerical climate models and comparison to analogous conditions in the geologic past. The Pliocene contains what might be the closest analog to climate conditions expected in the near future, and therefore understanding the Pliocene is not only of academic interest but essential for human adaptation.</p>","language":"English","publisher":"Micropaleontology Project","publisherLocation":"New York, NY","usgsCitation":"Dowsett, H.J., and Caballero-Gill, R., 2010, Pliocene climate: Stratigraphy, v. 7, no. 2-3, p. 106-110.","productDescription":"5 p.","startPage":"106","endPage":"110","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023463","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":319599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319597,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-268"}],"volume":"7","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fd01c1e4b0a6037df2c984","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":625578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caballero-Gill, R. P.","contributorId":118964,"corporation":false,"usgs":true,"family":"Caballero-Gill","given":"R. P.","affiliations":[],"preferred":false,"id":517299,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70120715,"text":"70120715 - 2010 - Development of a national, dynamic reservoir-sedimentation database","interactions":[],"lastModifiedDate":"2019-06-04T09:11:49","indexId":"70120715","displayToPublicDate":"2013-08-15T15:21:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Development of a national, dynamic reservoir-sedimentation database","docAbstract":"<p>The importance of dependable, long-term water supplies, coupled with the need to quantify rates of capacity loss of the Nation’s re servoirs due to sediment deposition, were the most compelling reasons for developing the REServoir- SEDimentation survey information (RESSED) database and website. Created under the auspices of the Advisory Committee on Water Information’s Subcommittee on Sedimenta ion by the U.S. Geological Survey and the Natural Resources Conservation Service, the RESSED database is the most comprehensive compilation of data from reservoir bathymetric and dry-basin surveys in the United States. As of March 2010, the database, which contains data compiled on the 1950s vintage Soil Conservation Service’s Form SCS-34 data sheets, contained results from 6,616 surveys on 1,823 reservoirs in the United States and two surveys on one reservoir in Puerto Rico. The data span the period 1755–1997, with 95 percent of the surveys performed from 1930–1990. The reservoir surface areas range from sub-hectare-scale farm ponds to 658 km<sup>2</sup> Lake Powell. The data in the RESSED database can be useful for a number of purposes, including calculating changes in reservoir-storage characteristics, quantifying sediment budgets, and estimating erosion rates in a reservoir’s watershed.</p><p><br></p><p>The March 2010 version of the RESSED database has a number of deficiencies, including a cryptic and out-of-date database architecture; some geospatial inaccuracies (although most have been corrected); other data errors; an inability to store all data in a readily retrievable manner; and an inability to store all data types that currently exist. Perhaps most importantly, the March 2010 version of RESSED database provides no publicly available means to submit new data and corrections to existing data. To address these and other deficiencies, the Subcommittee on Sedimentation, through the U.S. Geological Survey and the U.S. Army Corps of Engineers, began a collaborative project in November 2009 to modernize the RESSED database architecture; provide public online input capability; and produce online reports. The ultimate goal of the Subcommittee on Sedimentation is to build a comprehensive, quality-assured database describing capacity changes over time for the largest suite of the Nation’s reservoirs.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and Sedimentation for a Changing Future: Existing and Emerging Issues: Las Vegas, NV, June 27-July 1, 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and Sedimentation for a Changing Future: Existing and Emerging Issues","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Gray, J.R., Bernard, J., Stewart, D.W., McFaul, E., Laurent, K., Schwarz, G., Stinson, J., Jonas, M., Randle, T., and Webb, J., 2010, Development of a national, dynamic reservoir-sedimentation database, <i>in</i> Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and Sedimentation for a Changing Future: Existing and Emerging Issues: Las Vegas, NV, June 27-July 1, 2010, Las Vegas, Nevada, June 27-July 1, 2010, 12 p.","productDescription":"12 p.","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":292330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292327,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"},{"id":294561,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/Contents/7C_Gray_ressed_3_4_2010_paper.pdf"}],"country":"United States;Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ef1ec6e4b0bfa1f993ef07","contributors":{"authors":[{"text":"Gray, J. R.","contributorId":63372,"corporation":false,"usgs":true,"family":"Gray","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":498419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernard, J.M.","contributorId":43999,"corporation":false,"usgs":true,"family":"Bernard","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":498416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, D. W.","contributorId":86194,"corporation":false,"usgs":true,"family":"Stewart","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":498420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McFaul, E.J.","contributorId":8465,"corporation":false,"usgs":true,"family":"McFaul","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":498411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laurent, K.W.","contributorId":55351,"corporation":false,"usgs":true,"family":"Laurent","given":"K.W.","affiliations":[],"preferred":false,"id":498417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwarz, G. E. 0000-0002-9239-4566","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":14852,"corporation":false,"usgs":true,"family":"Schwarz","given":"G. 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,{"id":70204141,"text":"70204141 - 2010 - Landscape indicators and land cover change in the Mid-Atlantic Region of the United States, 1973-2001","interactions":[],"lastModifiedDate":"2019-07-10T09:59:37","indexId":"70204141","displayToPublicDate":"2013-05-15T09:56:42","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landscape indicators and land cover change in the Mid-Atlantic Region of the United States, 1973-2001","docAbstract":"<div class=\"hlFld-Abstract test\"><div class=\"abstractSection abstractInFull\"><p>Landscape indicators, derived from land use and land cover data as well as other data, were used to calculate the ecological consequences of land cover change in terms of nitrate loading and physical bird habitat. Both were modeled from 1973, 1992, and 2001 land cover data in the Mid-Atlantic region of the United States. Land cover statistics and trends are calculated for three time periods. In general, forest gain and agricultural loss was found in areas of improving landscape indicators and forest loss and agricultural gain was found to occur in areas of declining indicators, which was confirmed by high-resolution aerial photographic analysis.</p></div></div>","language":"English","publisher":"Taylor & Francis","doi":"10.2747/1548-1603.47.2.163","usgsCitation":"Slonecker, E.T., Milheim, L., and Claggett, P.R., 2010, Landscape indicators and land cover change in the Mid-Atlantic Region of the United States, 1973-2001: GIScience and Remote Sensing, v. 47, no. 2, p. 163-186, https://doi.org/10.2747/1548-1603.47.2.163.","productDescription":"24 p.","startPage":"163","endPage":"186","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":365365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, North 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Terrence 0000-0002-5793-0503 tslonecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":168591,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"tslonecker@usgs.gov","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milheim, Lesley lmilheim@usgs.gov","contributorId":168592,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley","email":"lmilheim@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765692,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043154,"text":"70043154 - 2010 - HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region","interactions":[],"lastModifiedDate":"2021-01-22T16:06:01.267169","indexId":"70043154","displayToPublicDate":"2013-05-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2790,"text":"Mountain Research and Development","active":true,"publicationSubtype":{"id":10}},"title":"HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region","docAbstract":"Glaciers are the largest reservoir of freshwater on Earth, supporting one third of the world's population. The Himalaya possess one of the largest resources of snow and ice, which act as a freshwater reservoir for more than 1.3 billion people. This article describes a new project called HIMALA, which focuses on utilizing satellite-based products for better understanding of hydrological processes of the river basins of the region. With support from the US Agency for International Development (USAID), the International Centre for Integrated Mountain Development (ICIMOD), together with its partners and member countries, has been working on the application of satellite-based rainfall estimates for flood prediction. The US National Aeronautics and Space Administration (NASA) partners are working with ICIMOD to incorporate snowmelt and glacier melt into a widely used hydrological model. Thus, through improved modeling of the contribution of snow and ice meltwater to river flow in the region, the HIMALA project will improve the ability of ICIMOD and its partners to understand the impact of weather and climate on floods, droughts, and other water- and climate-induced natural hazards in the Himalayan region in Afghanistan, Bangladesh, Bhutan, China, India, Myanmar, Nepal, and Pakistan.","language":"English","publisher":"International Mountain Society","publisherLocation":"Bern, Switzerland","doi":"10.1659/MRD-JOURNAL-D-10-00071.1","usgsCitation":"Brown, M.E., Ouyang, H., Habib, S., Shrestha, B., Shrestha, M., Panday, P., Tzortziou, M., Policelli, F., Artan, G.A., Giriraj, A., Bajracharya, S.R., and Racoviteanu, A., 2010, HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region: Mountain Research and Development, v. 30, no. 4, p. 401-404, https://doi.org/10.1659/MRD-JOURNAL-D-10-00071.1.","productDescription":"4 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}","volume":"30","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5187716be4b078fc9c244b5b","contributors":{"authors":[{"text":"Brown, Molly Elizabeth","contributorId":50066,"corporation":false,"usgs":true,"family":"Brown","given":"Molly","email":"","middleInitial":"Elizabeth","affiliations":[],"preferred":false,"id":473061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ouyang, Hua","contributorId":42505,"corporation":false,"usgs":true,"family":"Ouyang","given":"Hua","email":"","affiliations":[],"preferred":false,"id":473059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Habib, Shahid","contributorId":103952,"corporation":false,"usgs":true,"family":"Habib","given":"Shahid","email":"","affiliations":[],"preferred":false,"id":473069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, Basanta","contributorId":69036,"corporation":false,"usgs":true,"family":"Shrestha","given":"Basanta","email":"","affiliations":[],"preferred":false,"id":473064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Mandira","contributorId":87051,"corporation":false,"usgs":true,"family":"Shrestha","given":"Mandira","email":"","affiliations":[],"preferred":false,"id":473068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Panday, Prajjwal","contributorId":60520,"corporation":false,"usgs":true,"family":"Panday","given":"Prajjwal","email":"","affiliations":[],"preferred":false,"id":473063,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tzortziou, Maria","contributorId":55309,"corporation":false,"usgs":true,"family":"Tzortziou","given":"Maria","email":"","affiliations":[],"preferred":false,"id":473062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Policelli, Frederick","contributorId":69440,"corporation":false,"usgs":true,"family":"Policelli","given":"Frederick","email":"","affiliations":[],"preferred":false,"id":473065,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Artan, Guleid A. 0000-0001-8409-6182 gartan@usgs.gov","orcid":"https://orcid.org/0000-0001-8409-6182","contributorId":2938,"corporation":false,"usgs":true,"family":"Artan","given":"Guleid","email":"gartan@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473066,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Giriraj, Amarnath","contributorId":75414,"corporation":false,"usgs":true,"family":"Giriraj","given":"Amarnath","email":"","affiliations":[],"preferred":false,"id":473067,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bajracharya, Sagar R.","contributorId":44443,"corporation":false,"usgs":true,"family":"Bajracharya","given":"Sagar","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":473060,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Racoviteanu, Adina","contributorId":21049,"corporation":false,"usgs":true,"family":"Racoviteanu","given":"Adina","email":"","affiliations":[],"preferred":false,"id":473058,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70044480,"text":"70044480 - 2010 - A model for Iapetan rifting of Laurentia based on Neoproterozoic dikes and related rocks","interactions":[],"lastModifiedDate":"2013-04-04T15:22:53","indexId":"70044480","displayToPublicDate":"2013-04-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1726,"text":"GSA Memoirs","active":true,"publicationSubtype":{"id":10}},"title":"A model for Iapetan rifting of Laurentia based on Neoproterozoic dikes and related rocks","docAbstract":"Geologic evidence of the Neoproterozoic rifting of Laurentia during breakup of Rodinia is recorded in basement massifs of the cratonic margin by dike swarms, volcanic and plutonic rocks, and rift-related clastic sedimentary sequences. The spatial and temporal distribution of these geologic features varies both within and between the massifs but preserves evidence concerning the timing and nature of rifting. The most salient features include: (1) a rift-related magmatic event recorded in the French Broad massif and the southern and central Shenandoah massif that is distinctly older than that recorded in the northern Shenandoah massif and northward; (2) felsic volcanic centers at the north ends of both French Broad and Shenandoah massifs accompanied by dike swarms; (3) differences in volume between massifs of cover-sequence volcanic rocks and rift-related clastic rocks; and (4) WNW orientation of the Grenville dike swarm in contrast to the predominately NE orientation of other Neoproterozoic dikes. Previously proposed rifting mechanisms to explain these features include rift-transform and plume–triple-junction systems. The rift-transform system best explains features 1, 2, and 3, listed here, and we propose that it represents the dominant rifting mechanism for most of the Laurentian margin. To explain feature 4, as well as magmatic ages and geochemical trends in the Northern Appalachians, we propose that a plume–triple-junction system evolved into the rift-transform system. A ca. 600 Ma mantle plume centered east of the Sutton Mountains generated the radial dike swarm of the Adirondack massif and the Grenville dike swarm, and a collocated triple junction generated the northern part of the rift-transform system. An eastern branch of this system produced the Long Range dike swarm in Newfoundland, and a subsequent western branch produced the ca. 554 Ma Tibbit Hill volcanics and the ca. 550 Ma rift-related magmatism of Newfoundland.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Memoirs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2010.1206(20)","usgsCitation":"Burton, W.C., and Southworth, S., 2010, A model for Iapetan rifting of Laurentia based on Neoproterozoic dikes and related rocks: GSA Memoirs, v. 206, p. 455-476, https://doi.org/10.1130/2010.1206(20).","productDescription":"22 p.","startPage":"455","endPage":"476","ipdsId":"IP-016466","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":270585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270584,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2010.1206(20)"}],"country":"Canada;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,83.1 ], [ -52.6,83.1 ], [ -52.6,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"206","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515e92f2e4b088aa22580912","contributors":{"authors":[{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":475697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Southworth, Scott","contributorId":93933,"corporation":false,"usgs":true,"family":"Southworth","given":"Scott","affiliations":[],"preferred":false,"id":475698,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042496,"text":"70042496 - 2010 - Viscoelastic-cycle model of interseismic deformation in the northwestern United States","interactions":[],"lastModifiedDate":"2013-01-10T14:48:14","indexId":"70042496","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Viscoelastic-cycle model of interseismic deformation in the northwestern United States","docAbstract":"We apply a viscoelastic cycle model to a compilation of GPS velocity fields in order to address the kinematics of deformation in the northwestern United States. A viscoelastic cycle model accounts for time-dependent deformation following large crustal earthquakes and is an alternative to block models for explaining the interseismic crustal velocity field. Building on the approach taken in Pollitz et al., we construct a deformation model for the entire western United States-based on combined fault slip and distributed deformation-and focus on the implications for the Mendocino triple junction (MTJ), Cascadia megathrust, and western Washington. We find significant partitioning between strike-slip and dip-slip motion near the MTJ as the tectonic environment shifts from northwest-directed shear along the San Andreas fault system to east-west convergence along the Juan de Fuca Plate. By better accounting for the budget of aseismic and seismic slip along the Cascadia subduction interface in conjunction with an assumed rheology, we revise a previous model of slip for the M~ 9 1700 Cascadia earthquake. In western Washington, we infer slip rates on a number of strike-slip and dip-slip faults that accommodate northward convergence of the Oregon Coast block and northwestward convergence of the Juan de Fuca Plate. Lateral variations in first order mechanical properties (e.g. mantle viscosity, vertically averaged rigidity) explain, to a large extent, crustal strain that cannot be rationalized with cyclic deformation on a laterally homogeneous viscoelastic structure. Our analysis also shows that present crustal deformation measurements, particularly with the addition of the Plate Boundary Observatory, can constrain such lateral variations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-246X.2010.04546.x","usgsCitation":"Pollitz, F., McCrory, P., Wilson, D., Svarc, J., Puskas, C., and Smith, R.B., 2010, Viscoelastic-cycle model of interseismic deformation in the northwestern United States: Geophysical Journal International, v. 181, no. 2, p. 665-696, https://doi.org/10.1111/j.1365-246X.2010.04546.x.","productDescription":"32 p.","startPage":"665","endPage":"696","numberOfPages":"32","ipdsId":"IP-013321","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2010.04546.x","text":"Publisher Index Page"},{"id":265514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265513,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2010.04546.x"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,49.99 ], [ -107.36,49.99 ], [ -107.36,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"181","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7b1ee4b0b2908510dece","contributors":{"authors":[{"text":"Pollitz, F. 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F.","affiliations":[],"preferred":false,"id":471650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCrory, Patricia","contributorId":96560,"corporation":false,"usgs":true,"family":"McCrory","given":"Patricia","affiliations":[],"preferred":false,"id":471649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Doug","contributorId":7581,"corporation":false,"usgs":true,"family":"Wilson","given":"Doug","email":"","affiliations":[],"preferred":false,"id":471645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svarc, Jerry","contributorId":82012,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","affiliations":[],"preferred":false,"id":471647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puskas, Christine","contributorId":17109,"corporation":false,"usgs":true,"family":"Puskas","given":"Christine","email":"","affiliations":[],"preferred":false,"id":471646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Robert B.","contributorId":90824,"corporation":false,"usgs":true,"family":"Smith","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471648,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047109,"text":"70047109 - 2010 - Analytical models for the groundwater tidal prism and associated benthic water flux","interactions":[],"lastModifiedDate":"2013-07-18T13:32:25","indexId":"70047109","displayToPublicDate":"2013-01-01T13:29:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Analytical models for the groundwater tidal prism and associated benthic water flux","docAbstract":"The groundwater tidal prism is defined as the volume of water that inundates a porous medium, forced by one tidal oscillation in surface water. The pressure gradient that generates the prism acts on the subterranean estuary. Analytical models for the groundwater tidal prism and associated benthic flux are presented. The prism and flux are shown to be directly proportional to porosity, tidal amplitude, and the length of the groundwater wave; flux is inversely proportional to tidal period. The duration of discharge flux exceeds the duration of recharge flux over one tidal period; and discharge flux continues for some time following low tide. Models compare favorably with laboratory observations and are applied to a South Atlantic Bight study area, where tide generates an 11-m<sup>3</sup> groundwater tidal prism per m of shoreline, and drives 81 m<sup>3</sup> s<sup> −1</sup> to the study area, which describes 23% of an observational estimate. In a marine water body, the discharge component of any oscillatory benthic water flux is submarine groundwater discharge. Benthic flux transports constituents between groundwater and surface water, and is a process by which pollutant loading and saltwater intrusion may occur in coastal areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0519-y","usgsCitation":"King, J.N., Mehta, A.J., and Dean, R., 2010, Analytical models for the groundwater tidal prism and associated benthic water flux: Hydrogeology Journal, v. 18, no. 1, p. 203-215, https://doi.org/10.1007/s10040-009-0519-y.","productDescription":"13","startPage":"203","endPage":"215","ipdsId":"IP-010801","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":275147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275145,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10040-009-0519-y"},{"id":275144,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-009-0519-y"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-10-02","publicationStatus":"PW","scienceBaseUri":"51e90e5fe4b0e157e9e86ef4","contributors":{"authors":[{"text":"King, Jeffrey N. jking@usgs.gov","contributorId":10783,"corporation":false,"usgs":true,"family":"King","given":"Jeffrey","email":"jking@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":false,"id":481076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mehta, Ashish J.","contributorId":21051,"corporation":false,"usgs":true,"family":"Mehta","given":"Ashish","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, Robert G.","contributorId":11916,"corporation":false,"usgs":true,"family":"Dean","given":"Robert G.","affiliations":[],"preferred":false,"id":481077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047163,"text":"70047163 - 2010 - Making lidar more photogenic: creating band combinations from lidar information","interactions":[],"lastModifiedDate":"2013-07-23T12:46:44","indexId":"70047163","displayToPublicDate":"2013-01-01T12:32:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Making lidar more photogenic: creating band combinations from lidar information","docAbstract":"Over the past five to ten years the use and applicability of light detection and ranging (lidar) technology has increased dramatically. As a result, an almost exponential amount of lidar data is being collected across the country for a wide range of applications, and it is currently the technology of choice for high resolution terrain model creation, 3-dimensional city and infrastructure modeling, forestry and a wide range of scientific applications (Lin and Mills, 2010). The amount of data that is being delivered across the country is impressive. For example, the U.S. Geological Survey’s (USGS) Center for Lidar Information Coordination and Knowledge (CLICK), which is a National repository of USGS and partner lidar point cloud datasets (Stoker et al., 2006), currently has 3.5 percent of the United States covered by lidar, and has approximately another 5 percent in the processing queue. The majority of data being collected by the commercial sector are from discrete-return systems, which collect billions of lidar points in an average project. There are also a lot of discussions involving a potential National-scale Lidar effort (Stoker et al., 2008).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Photogrammetric Engineering and Remote Sensing","usgsCitation":"Stoker, J.M., 2010, Making lidar more photogenic: creating band combinations from lidar information: Photogrammetric Engineering and Remote Sensing, v. 76, no. 3, p. 216-220.","productDescription":"5 p.","startPage":"216","endPage":"220","ipdsId":"IP-018975","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275294,"type":{"id":11,"text":"Document"},"url":"https://digital.ipcprintservices.com/publication/?i=32898&&l=&m=&ver=&pp=&p=15"}],"volume":"76","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51efa5f2e4b0b09fbe58f199","contributors":{"authors":[{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":481196,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047018,"text":"70047018 - 2010 - Emerging themes in the ecology and management of North American forests","interactions":[],"lastModifiedDate":"2013-07-15T10:48:34","indexId":"70047018","displayToPublicDate":"2013-01-01T10:41:44","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2043,"text":"International Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Emerging themes in the ecology and management of North American forests","docAbstract":"The 7th North American Forest Ecology Workshop, consisting of 149 presentations in 16 oral sessions and a poster session, reflected a broad range of topical areas currently under investigation in forest ecology and management. There was an overarching emphasis on the role of disturbance, both natural and anthropogenic, in the dynamics of forest ecosystems, and the recognition that legacies from past disturbances strongly influence future trajectories. Climate was invoked as a major driver of ecosystem change. An emphasis was placed on application of research findings for predicting system responses to changing forest management initiatives. Several “needs” emerged from the discussions regarding approaches to the study of forest ecosystems, including (1) consideration of variable spatial and temporal scales, (2) long-term monitoring, (3) development of universal databases more encompassing of time and space to facilitate meta-analyses, (4) combining field studies and modeling approaches, (5) standardizing methods of measurement and assessment, (6) guarding against oversimplification or overgeneralization from limited site-specific results, (7) greater emphasis on plant-animal interactions, and (8) better alignment of needs and communication of results between researchers and managers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Forestry Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","doi":"10.1155/2010/964260","usgsCitation":"Sharik, T.L., Adair, W., Baker, F.A., Battaglia, M., Comfort, E.J., D’Amato, A.W., Delong, C., DeRose, R., Ducey, M.J., Harmon, M., Levy, L., Logan, J.A., O'Brien, J., Palik, B.J., Roberts, S.D., Rogers, P., Shinneman, D., Spies, T., Taylor, S.L., Woodall, C., and Youngblood, A., 2010, Emerging themes in the ecology and management of North American forests: International Journal of Forestry Research, v. 2010, Article ID 964260; 11 p., https://doi.org/10.1155/2010/964260.","productDescription":"Article ID 964260; 11 p.","ipdsId":"IP-015599","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":475463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2010/964260","text":"Publisher Index Page"},{"id":274970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274960,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0378112712007086"},{"id":274969,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1155/2010/964260"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"2010","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e9e4b069f8d27ccad3","contributors":{"authors":[{"text":"Sharik, Terry L.","contributorId":98201,"corporation":false,"usgs":true,"family":"Sharik","given":"Terry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adair, William","contributorId":88636,"corporation":false,"usgs":true,"family":"Adair","given":"William","email":"","affiliations":[],"preferred":false,"id":480879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Fred A.","contributorId":73096,"corporation":false,"usgs":true,"family":"Baker","given":"Fred","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglia, Michael","contributorId":30529,"corporation":false,"usgs":true,"family":"Battaglia","given":"Michael","affiliations":[],"preferred":false,"id":480870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comfort, Emily J.","contributorId":103551,"corporation":false,"usgs":true,"family":"Comfort","given":"Emily","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":480868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delong, Craig","contributorId":27341,"corporation":false,"usgs":true,"family":"Delong","given":"Craig","email":"","affiliations":[],"preferred":false,"id":480867,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeRose, R. Justin","contributorId":11494,"corporation":false,"usgs":true,"family":"DeRose","given":"R. 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,{"id":70042326,"text":"70042326 - 2010 - Summer stream water temperature models for Great Lakes streams: New York","interactions":[],"lastModifiedDate":"2022-09-02T14:52:18.036633","indexId":"70042326","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Summer stream water temperature models for Great Lakes streams: New York","docAbstract":"Temperature is one of the most important environmental influences on aquatic organisms. It is a primary driver of physiological rates and many abiotic processes. However, despite extensive research and measurements, synoptic estimates of water temperature are not available for most regions, limiting our ability to make systemwide and large-scale assessments of aquatic resources or estimates of aquatic species abundance and biodiversity. We used subwatershed averaging of point temperature measurements and associated multiscale landscape habitat conditions from over 3,300 lotic sites throughout New York State to develop and train artificial neural network models. Separate models predicting water temperature (in cold, cool, and warm temperature classes) within small catchment–stream order groups were developed for four modeling units, which together encompassed the entire state. Water temperature predictions were then made for each stream segment in the state. All models explained more than 90% of data variation. Elevation, riparian forest cover, landscape slope, and growing degree-days were among the most important model predictors of water temperature classes. Geological influences varied among regions. Predicted temperature distributions within stream networks displayed patterns of generally increasing temperature downstream but were patchy due to the averaging of water temperatures within stream size-classes of small drainages. Models predicted coldwater streams to be most numerous and warmwater streams to be generally associated with the largest rivers and relatively flat agricultural areas and urban areas. Model predictions provide a complete, georeferenced map of summer daytime mean stream temperature potential throughout New York State that can be used for planning and assessment at spatial scales from the stream segment class to the entire state.","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MA","doi":"10.1577/T09-153.1","usgsCitation":"McKenna, J., Butryn, R.S., and McDonald, R.P., 2010, Summer stream water temperature models for Great Lakes streams: New York: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1399-1414, https://doi.org/10.1577/T09-153.1.","productDescription":"16 p.","startPage":"1399","endPage":"1414","ipdsId":"IP-015655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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York\",\"nation\":\"USA  \"}}]}","volume":"139","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"51372214e4b02ab8869c003a","contributors":{"authors":[{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":471280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butryn, Ryan S.","contributorId":87042,"corporation":false,"usgs":true,"family":"Butryn","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":471282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard P.","contributorId":73895,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471281,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042334,"text":"70042334 - 2010 - Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","interactions":[],"lastModifiedDate":"2013-05-02T14:57:27","indexId":"70042334","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","docAbstract":"Dreissenid mussels have been regarded as a “dead end” in Great Lakes food webs because the degree of predation on dreissenid mussels, on a lakewide basis, is believed to be low. Waterfowl predation on dreissenid mussels in the Great Lakes has primarily been confined to bays, and therefore its effects on the dreissenid mussel population have been localized rather than operating on a lakewide level. Based on results from a previous study, annual consumption of dreissenid mussels by the round goby (Neogobius melanostomus) population in central Lake Erie averaged only 6 kilotonnes (kt; 1 kt = one thousand metric tons) during 1995–2002. In contrast, our coupling of lake whitefish (Coregonus clupeaformis) population models with a lake whitefish bioenergetics model revealed that lake whitefish populations in Lakes Michigan and Huron consumed 109 and 820 kt, respectively, of dreissenid mussels each year. Our results indicated that lake whitefish can be an important predator on dreissenid mussels in the Great Lakes, and that dreissenid mussels do not represent a “dead end” in Great Lakes food webs. The Lake Michigan dreissenid mussel population has been estimated to be growing more than three times faster than the Lake Huron dreissenid mussel population during the 2000s. One plausible explanation for the higher population growth rate in Lake Michigan would be the substantially higher predation rate by lake whitefish on dreissenid mussels in Lake Huron.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2009.09.001","usgsCitation":"Madenijan, C.P., Pothoven, S.A., Schneeberger, P.J., Ebener, M.P., Mohr, L.C., Nalepa, T., and Bence, J., 2010, Dreissenid mussels are not a \"dead end\" in Great Lakes food webs: Journal of Great Lakes Research, v. 36, no. SP1, p. 73-77, https://doi.org/10.1016/j.jglr.2009.09.001.","productDescription":"5 p.","startPage":"73","endPage":"77","ipdsId":"IP-006302","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271771,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.09.001"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.8,41.18 ], [ -75.8,49.1 ], [ -92.11,49.1 ], [ -92.11,41.18 ], [ -75.8,41.18 ] ] ] } } ] }","volume":"36","issue":"SP1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae7e4b0a21483941a99","contributors":{"authors":[{"text":"Madenijan, Charles P.","contributorId":101169,"corporation":false,"usgs":true,"family":"Madenijan","given":"Charles","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneeberger, Philip J.","contributorId":43313,"corporation":false,"usgs":true,"family":"Schneeberger","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":471302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohr, Lloyd C.","contributorId":77493,"corporation":false,"usgs":false,"family":"Mohr","given":"Lloyd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":471303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":471307,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042554,"text":"70042554 - 2010 - Rupture directivity of moderate earthquakes in northern California","interactions":[],"lastModifiedDate":"2013-03-26T16:09:42","indexId":"70042554","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Rupture directivity of moderate earthquakes in northern California","docAbstract":"We invert peak ground velocity and acceleration (PGV and PGA) to estimate rupture direction and rupture velocity for 47 moderate earthquakes (3.5≥M≥5.4) in northern California. We correct sets of PGAs and PGVs recorded at stations less than 55–125 km, depending on source depth, for site amplification and source–receiver distance, then fit the residual peak motions to the unilateral directivity function of Ben-Menahem (1961). We independently invert PGA and PGV. The rupture direction can be determined using as few as seven peak motions if the station distribution is sufficient. The rupture velocity is unstable, however, if there are no takeoff angles within 30° of the rupture direction. Rupture velocities are generally subsonic (0.5β–0.9β); for stability, we limit the rupture velocity at v=0.92β, the Rayleigh wave speed. For 73 of 94 inversions, the rupture direction clearly identifies one of the nodal planes as the fault plane. The 35 strike-slip earthquakes have rupture directions that range from nearly horizontal (6 events) to directly updip (5 events); the other 24 rupture partly along strike and partly updip. Two strike-slip earthquakes rupture updip in one inversion and downdip in the other. All but 1 of the 11 thrust earthquakes rupture predominantly updip. We compare the rupture directions for 10 M≥4.0 earthquakes to the relative location of the mainshock and the first two weeks of aftershocks. Spatial distributions of 8 of 10 aftershock sequences agree well with the rupture directivity calculated for the mainshock.","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":"El Cerrito, CA","doi":"10.1785/0120090161","usgsCitation":"Seekins, L.C., and Boatwright, J., 2010, Rupture directivity of moderate earthquakes in northern California: Bulletin of the Seismological Society of America, v. 100, no. 3, p. 1107-1119, https://doi.org/10.1785/0120090161.","productDescription":"13 p.","startPage":"1107","endPage":"1119","ipdsId":"IP-015629","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":270221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270220,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090161"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"100","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-05-14","publicationStatus":"PW","scienceBaseUri":"5152c3b4e4b01197b08e9cfe","contributors":{"authors":[{"text":"Seekins, Linda C.","contributorId":14811,"corporation":false,"usgs":true,"family":"Seekins","given":"Linda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471802,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042407,"text":"70042407 - 2010 - The effect of error in theoretical Earth tide on calibration of borehole strainmeters","interactions":[],"lastModifiedDate":"2013-03-06T17:15:30","indexId":"70042407","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The effect of error in theoretical Earth tide on calibration of borehole strainmeters","docAbstract":"Since the installation of borehole strainmeters into the ground locally distorts the strain in the rock, these strainmeters require calibration from a known source which typically is the Earth tide. Consequently, the accuracy of the observed strain changes from borehole strainmeters depends upon the calibration derived from modeling the Earth tide. Previous work from the mid-1970s, which is replicated here, demonstrate that the theoretical tide can differ by 30% from the tide observed at surface-mounted, long-baseline strainmeters. In spite of possible inaccurate tidal models, many of the 74 borehole strainmeters installed since 2005 can be “calibrated”. However, inaccurate tidal models affect the amplitude and phase of observed transient strain changes which needs to be considered along with the precision of the data from the inherent drift of these borehole instruments. In particular, the error from inaccurate tidal model dominates the error budget in the observation of impulsive, sub-daily, strain-transients.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2010GL044454","usgsCitation":"Langbein, J.O., 2010, The effect of error in theoretical Earth tide on calibration of borehole strainmeters: Geophysical Research Letters, v. 37, no. 21, L21303, https://doi.org/10.1029/2010GL044454.","productDescription":"L21303","ipdsId":"IP-021866","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl044454","text":"Publisher Index Page"},{"id":268834,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL044454"},{"id":268835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"21","noUsgsAuthors":false,"publicationDate":"2010-11-03","publicationStatus":"PW","scienceBaseUri":"5138738de4b02c509e50c4ed","contributors":{"authors":[{"text":"Langbein, John O.","contributorId":72438,"corporation":false,"usgs":true,"family":"Langbein","given":"John","middleInitial":"O.","affiliations":[],"preferred":false,"id":471476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043234,"text":"70043234 - 2010 - A procedure for radiometric recalibration of Landsat 5 TM reflective-band data","interactions":[],"lastModifiedDate":"2013-02-27T17:49:39","indexId":"70043234","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A procedure for radiometric recalibration of Landsat 5 TM reflective-band data","docAbstract":"From the Landsat program's inception in 1972 to the present, the Earth science user community has been benefiting from a historical record of remotely sensed data. The multispectral data from the Landsat 5 (L5) Thematic Mapper (TM) sensor provide the backbone for this extensive archive. Historically, the radiometric calibration procedure for the L5 TM imagery used the detectors' response to the internal calibrator (IC) on a scene-by-scene basis to determine the gain and offset for each detector. The IC system degraded with time, causing radiometric calibration errors up to 20%. In May 2003, the L5 TM data processed and distributed by the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center through the National Landsat Archive Production System (NLAPS) were updated to use a lifetime lookup-table (LUT) gain model to radiometrically calibrate TM data instead of using scene-specific IC gains. Further modification of the gain model was performed in 2007. The L5 TM data processed using IC prior to the calibration update do not benefit from the recent calibration revisions. A procedure has been developed to give users the ability to recalibrate their existing level-1 products. The best recalibration results are obtained if the work-order report that was included in the original standard data product delivery is available. However, if users do not have the original work-order report, the IC trends can be used for recalibration. The IC trends were generated using the radiometric gain trends recorded in the NLAPS database. This paper provides the details of the recalibration procedure for the following: 1) data processed using IC where users have the work-order file; 2) data processed using IC where users do not have the work-order file; 3) data processed using prelaunch calibration parameters; and 4) data processed using the previous version of the LUT (e.g., LUT03) that was released before April 2, 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2009.2026166","usgsCitation":"Chander, G., Haque, M., Micijevic, E., and Barsi, J., 2010, A procedure for radiometric recalibration of Landsat 5 TM reflective-band data: IEEE Transactions on Geoscience and Remote Sensing, v. 48, no. 1, p. 556-574, https://doi.org/10.1109/TGRS.2009.2026166.","productDescription":"19 p.","startPage":"556","endPage":"574","ipdsId":"IP-010187","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268395,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2009.2026166"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"512f38f3e4b0cad81a732d8e","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":473203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, M.O. 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":73087,"corporation":false,"usgs":true,"family":"Haque","given":"M.O.","affiliations":[],"preferred":false,"id":473205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Micijevic, E. 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":59939,"corporation":false,"usgs":true,"family":"Micijevic","given":"E.","affiliations":[],"preferred":false,"id":473204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":473202,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044453,"text":"70044453 - 2010 - A proposed lexicon of terms and concepts for human-bear management in North America","interactions":[],"lastModifiedDate":"2013-04-09T23:47:48","indexId":"70044453","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"A proposed lexicon of terms and concepts for human-bear management in North America","docAbstract":"We believe that communication within and among agency personnel in the United States and Canada about the successes and failures of their human–bear (Ursidae) management programs will increase the effectiveness of these programs and of bear research. To communicate more effectively, we suggest agencies clearly define terms and concepts used in human–bear management and use them in a consistent manner. We constructed a human–bear management lexicon of terms and concepts using a modified Delphi method to provide a resource that facilitates more effective communication among human–bear management agencies. Specifically, we defined 40 terms and concepts in human–bear management and suggest definitions based on discussions with 13 other professionals from the United States and Canada. Although new terms and concepts will emerge in the future and definitions will evolve as we learn more about bear behavior and ecology, our purpose is to suggest working definitions for terms and concepts to help guide human–bear management and research activities in North America. Applications or revisions of these definitions may be useful outside of North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ursus","publisherLocation":"http://www.bearbiology.com","doi":"10.2192/URSUS-D-10-00005.1","usgsCitation":"Hopkins, J.B., Herrero, S., Shideler, R.T., Gunther, K.A., Schwartz, C.C., and Kalinowski, S.T., 2010, A proposed lexicon of terms and concepts for human-bear management in North America: Ursus, v. 21, no. 2, p. 154-168, https://doi.org/10.2192/URSUS-D-10-00005.1.","productDescription":"15 p.","startPage":"154","endPage":"168","ipdsId":"IP-020665","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":270764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270763,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-10-00005.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"21","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5165385fe4b077fa94dadf57","contributors":{"authors":[{"text":"Hopkins, John B. III","contributorId":42112,"corporation":false,"usgs":true,"family":"Hopkins","given":"John","suffix":"III","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":475650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrero, Stephen","contributorId":39269,"corporation":false,"usgs":true,"family":"Herrero","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":475649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shideler, Richard T.","contributorId":7979,"corporation":false,"usgs":true,"family":"Shideler","given":"Richard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":475648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":475653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":475651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalinowski, Steven T.","contributorId":78465,"corporation":false,"usgs":true,"family":"Kalinowski","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":475652,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044309,"text":"70044309 - 2010 - Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland","interactions":[],"lastModifiedDate":"2018-10-10T15:50:12","indexId":"70044309","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland","docAbstract":"<p><span>A series of tracer experiments were conducted biannually at the start and end of the vegetation growing season in a surface flow wastewater treatment wetland located near Phoenix, AZ. Tracer experiments were conducted prior to and following reconfiguration and replanting of a 1.2 ha treatment wetland from its original design of alternating shallow and deep zones to incorporate hummocks (shallow planting beds situated perpendicular to flow). Tracer test data were analyzed using analysis of moments and the one‐dimensional transport with inflow and storage numerical model to evaluate the effects of the seasonal vegetation growth cycle and hummocks on solute transport. Following reconfiguration, vegetation coverage was relatively small, and minor changes in spatial distribution influenced wetland hydraulics. During start‐up conditions, the wetland underwent an acclimation period characterized by small vegetation coverage and large transport cross‐sectional areas. At the start of the growing season, new growth of emergent vegetation enhanced hydraulic performance. At the end of the growing season, senescing vegetation created short‐circuiting. Wetland hydrodynamics were associated with high volumetric efficiencies and velocity heterogeneities. The hummock design resulted in breakthrough curves characterized by multiple secondary tracer peaks indicative of varied flow paths created by bottom topography.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009512","usgsCitation":"Keefe, S.H., Daniels, J.S., Runkel, R.L., Wass, R.D., Stiles, E.A., and Barber, L.B., 2010, Influence of hummocks and emergent vegetation on hydraulic performance in a surface flow wastewater treatment wetland: Water Resources Research, v. 46, no. 11, W11518; 13 p., https://doi.org/10.1029/2010WR009512.","productDescription":"W11518; 13 p.","ipdsId":"IP-007397","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr009512","text":"Publisher Index 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,{"id":70043294,"text":"70043294 - 2010 - A self-trained classification technique for producing 30 m percent-water maps from Landsat data","interactions":[],"lastModifiedDate":"2013-02-26T20:04:00","indexId":"70043294","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A self-trained classification technique for producing 30 m percent-water maps from Landsat data","docAbstract":"Small bodies of water can be mapped with moderate-resolution satellite data using methods where water is mapped as subpixel fractions using field measurements or high-resolution images as training datasets. A new method, developed from a regression-tree technique, uses a 30 m Landsat image for training the regression tree that, in turn, is applied to the same image to map subpixel water. The self-trained method was evaluated by comparing the percent-water map with three other maps generated from established percent-water mapping methods: (1) a regression-tree model trained with a 5 m SPOT 5 image, (2) a regression-tree model based on endmembers and (3) a linear unmixing classification technique. The results suggest that subpixel water fractions can be accurately estimated when high-resolution satellite data or intensively interpreted training datasets are not available, which increases our ability to map small water bodies or small changes in lake size at a regional scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/01431161003667455","usgsCitation":"Rover, J.R., Wylie, B.K., and Ji, L., 2010, A self-trained classification technique for producing 30 m percent-water maps from Landsat data: International Journal of Remote Sensing, v. 31, no. 8, p. 2197-2203, https://doi.org/10.1080/01431161003667455.","productDescription":"7 p.","startPage":"2197","endPage":"2203","ipdsId":"IP-017132","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268425,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161003667455"}],"volume":"31","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-04-28","publicationStatus":"PW","scienceBaseUri":"53cd4a8be4b0b290850efd77","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":473315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473314,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045050,"text":"70045050 - 2010 - Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration","interactions":[],"lastModifiedDate":"2013-05-14T10:11:09","indexId":"70045050","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration","docAbstract":"Shallow rainfall-induced landslides commonly occur under conditions of transient infiltration into initially unsaturated soils. In an effort to predict the timing and location of such landslides, we developed a model of the infiltration process using a two-layer system that consists of an unsaturated zone above a saturated zone and implemented this model in a geographic information system (GIS) framework. The model links analytical solutions for transient, unsaturated, vertical infiltration above the water table to pressure-diffusion solutions for pressure changes below the water table. The solutions are coupled through a transient water table that rises as water accumulates at the base of the unsaturated zone. This scheme, though limited to simplified soil-water characteristics and moist initial conditions, greatly improves computational efficiency over numerical models in spatially distributed modeling applications. Pore pressures computed by these coupled models are subsequently used in one-dimensional slope-stability computations to estimate the timing and locations of slope failures. Applied over a digital landscape near Seattle, Washington, for an hourly rainfall history known to trigger shallow landslides, the model computes a factor of safety for each grid cell at any time during a rainstorm. The unsaturated layer attenuates and delays the rainfall-induced pore-pressure response of the model at depth, consistent with observations at an instrumented hillside near Edmonds, Washington. This attenuation results in realistic estimates of timing for the onset of slope instability (7 h earlier than observed landslides, on average). By considering the spatial distribution of physical properties, the model predicts the primary source areas of landslides.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2009JF001321","usgsCitation":"Baum, R.L., Godt, J.W., and Savage, W.Z., 2010, Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration: Journal of Geophysical Research F: Earth Surface, v. 115, no. F3, F03013, https://doi.org/10.1029/2009JF001321.","productDescription":"F03013","ipdsId":"IP-012858","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272206,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009JF001321"}],"volume":"115","issue":"F3","noUsgsAuthors":false,"publicationDate":"2010-07-31","publicationStatus":"PW","scienceBaseUri":"53cd5816e4b0b290850f7ddd","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":476693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savage, William Z.","contributorId":107686,"corporation":false,"usgs":true,"family":"Savage","given":"William","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":476695,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043619,"text":"70043619 - 2010 - Effect of clay content and mineralogy on frictional sliding behavior of simulated gouges: binary and ternary mixtures of quartz, illite, and montmorillonite","interactions":[],"lastModifiedDate":"2013-05-09T10:31:44","indexId":"70043619","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Effect of clay content and mineralogy on frictional sliding behavior of simulated gouges: binary and ternary mixtures of quartz, illite, and montmorillonite","docAbstract":"We investigated the frictional sliding behavior of simulated quartz-clay gouges under stress conditions relevant to seismogenic depths. Conventional triaxial compression tests were conducted at 40 MPa effective normal stress on saturated saw cut samples containing binary and ternary mixtures of quartz, montmorillonite, and illite. In all cases, frictional strengths of mixtures fall between the end-members of pure quartz (strongest) and clay (weakest). The overall trend was a decrease in strength with increasing clay content. In the illite/quartz mixture the trend was nearly linear, while in the montmorillonite mixtures a sigmoidal trend with three strength regimes was noted. Microstructural observations were performed on the deformed samples to characterize the geometric attributes of shear localization within the gouge layers. Two micromechanical models were used to analyze the critical clay fractions for the two-regime transitions on the basis of clay porosity and packing of the quartz grains. The transition from regime 1 (high strength) to 2 (intermediate strength) is associated with the shift from a stress-supporting framework of quartz grains to a clay matrix embedded with disperse quartz grains, manifested by the development of P-foliation and reduction in Riedel shear angle. The transition from regime 2 (intermediate strength) to 3 (low strength) is attributed to the development of shear localization in the clay matrix, occurring only when the neighboring layers of quartz grains are separated by a critical clay thickness. Our mixture data relating strength degradation to clay content agree well with strengths of natural shear zone materials obtained from scientific deep drilling projects.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2009JB006383","usgsCitation":"Tembe, S., Lockner, D.A., and Wong, T., 2010, Effect of clay content and mineralogy on frictional sliding behavior of simulated gouges: binary and ternary mixtures of quartz, illite, and montmorillonite: Journal of Geophysical Research B: Solid Earth, v. 115, no. B3, B03416, https://doi.org/10.1029/2009JB006383.","productDescription":"B03416","ipdsId":"IP-008421","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jb006383","text":"Publisher Index Page"},{"id":272127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272126,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009JB006383"}],"volume":"115","issue":"B3","noUsgsAuthors":false,"publicationDate":"2010-03-24","publicationStatus":"PW","scienceBaseUri":"518cc563e4b05ebc8f7cc111","contributors":{"authors":[{"text":"Tembe, Sheryl","contributorId":87436,"corporation":false,"usgs":true,"family":"Tembe","given":"Sheryl","email":"","affiliations":[],"preferred":false,"id":473991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":473989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong, Teng-Fong","contributorId":83005,"corporation":false,"usgs":true,"family":"Wong","given":"Teng-Fong","affiliations":[],"preferred":false,"id":473990,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043486,"text":"70043486 - 2010 - Longitudinal structure in temperate stream fish communities: evaluating conceptual models with temporal data","interactions":[],"lastModifiedDate":"2013-03-26T14:31:33","indexId":"70043486","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Longitudinal structure in temperate stream fish communities: evaluating conceptual models with temporal data","docAbstract":"Five conceptual models of longitudinal fish community organization in streams were examined: (1) niche diversity model (NDM), (2) stream continuum model (SCM), (3) immigrant accessibility model (IAM), (4) environmental stability model (ESM), and (5) adventitious stream model (ASM). We used differences among models in their predictions about temporal species turnover, along with five spatiotemporal fish community data sets, to evaluate model applicability. Models were similar in predicting a positive species richness–stream size relationship and longitudinal species nestedness, but differed in predicting either similar temporal species turnover throughout the stream continuum (NDM, SCM), higher turnover upstream (IAM, ESM), or higher turnover downstream (ASM). We calculated measures of spatial and temporal variation from spatiotemporal fish data in five wadeable streams in central and eastern North America spanning 34–68 years (French Creek [New York], Piasa Creek [Illinois], Spruce Run [Virginia], Little Stony Creek [Virginia], and Sinking Creek [Virginia]). All streams exhibited substantial species turnover (i.e., at least 27% turnover in stream-scale species pools), in contrast to the predictions of the SCM. Furthermore, community change was greater in downstream than upstream reaches in four of five streams. This result is most consistent with the ASM and suggests that downstream communities are strongly influenced by migrants to and from species pools outside the focal stream. In Sinking Creek, which is isolated from external species pools, temporal species turnover (via increased richness) was higher upstream than downstream, which is a pattern most consistent with the IAM or ESM. These results corroborate the hypothesis that temperate stream habitats and fish communities are temporally dynamic and that fish migration and environmental disturbances play fundamental roles in stream fish community organization.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Community ecology of stream fishes : concepts, approaches, and techniques; American Fisheries Symposium 73","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Roberts, J.H., and Hitt, N.P., 2010, Longitudinal structure in temperate stream fish communities: evaluating conceptual models with temporal data, <i>in</i> Community ecology of stream fishes : concepts, approaches, and techniques; American Fisheries Symposium 73, 19 p.","productDescription":"19 p.","ipdsId":"IP-024159","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c398e4b01197b08e9cb5","contributors":{"authors":[{"text":"Roberts, James H.","contributorId":83811,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":473692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473691,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043688,"text":"70043688 - 2010 - An experimental vaccine against Aeromonas hydrophila can induce protection in rainbow trout, Oncorhynchus mykiss (Walbaum)","interactions":[],"lastModifiedDate":"2013-04-11T13:48:42","indexId":"70043688","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"An experimental vaccine against Aeromonas hydrophila can induce protection in rainbow trout, Oncorhynchus mykiss (Walbaum)","docAbstract":"A candidate vaccine against Aeromonas hydrophila in rainbow trout, Oncorhynchus mykiss, was developed using a bacterial lysate. To test the strength of protection, A. hydrophila challenge models were compared using injection into both the intraperitoneal (IP) cavity and the dorsal sinus (DS) with selected doses of live bacteria washed in saline or left untreated. Unlike the IP route, injection into the DS with either saline washed or unwashed cells resulted in consistent cumulative mortality and a dose response that could be used to establish a standard challenge having an LD<sub>50</sub> of approximately 3 × 10<sup>7</sup> colony forming units per fish. Survivors of the challenge suffered significantly lower mortality upon re-challenge than naïve fish, suggesting a high level of acquired resistance was elicited by infection. Passive immunization using serum from hyper-immunized fish also resulted in significantly reduced mortality indicating protection can be transferred and that some portion of resistance may be antibody mediated. Vaccination of groups of rainbow trout with A. hydrophila lysate resulted in significant protection against a high challenge dose but only when injected along with Freund’s complete adjuvant. At a low challenge dose, mortality in all groups was low, but the bacterial lysate alone appeared to offer some protection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Publishing Ltd","publisherLocation":"Oxford, UK","doi":"10.1111/j.1365-2761.2009.01098.x","usgsCitation":"LaPatra, S., Plant, K., Alcorn, S., Ostland, V., and Winton, J., 2010, An experimental vaccine against Aeromonas hydrophila can induce protection in rainbow trout, Oncorhynchus mykiss (Walbaum): Journal of Fish Diseases, v. 33, no. 2, p. 143-151, https://doi.org/10.1111/j.1365-2761.2009.01098.x.","productDescription":"9 p.","startPage":"143","endPage":"151","ipdsId":"IP-017127","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270821,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2761.2009.01098.x"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-01-14","publicationStatus":"PW","scienceBaseUri":"5167db66e4b0ec0efb666f0e","contributors":{"authors":[{"text":"LaPatra, S. E.","contributorId":55371,"corporation":false,"usgs":false,"family":"LaPatra","given":"S. E.","affiliations":[],"preferred":false,"id":474078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, K.P.","contributorId":92141,"corporation":false,"usgs":true,"family":"Plant","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":474080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alcorn, S.","contributorId":17814,"corporation":false,"usgs":true,"family":"Alcorn","given":"S.","email":"","affiliations":[],"preferred":false,"id":474077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostland, V.","contributorId":97776,"corporation":false,"usgs":true,"family":"Ostland","given":"V.","email":"","affiliations":[],"preferred":false,"id":474081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winton, J.","contributorId":55627,"corporation":false,"usgs":true,"family":"Winton","given":"J.","email":"","affiliations":[],"preferred":false,"id":474079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043683,"text":"70043683 - 2010 - Amplification and transport of an endemic fish disease by an introduced species","interactions":[],"lastModifiedDate":"2013-04-11T13:32:43","indexId":"70043683","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Amplification and transport of an endemic fish disease by an introduced species","docAbstract":"The introduction of American shad from the Atlantic to the Pacific coast of North America in the late 1800’s and the subsequent population expansion in the 1980’s resulted in the amplification of Ichthyophonus sp., a Mesomycetozoean parasite of wild marine fishes. Sequence analysis of the ribosomal DNA gene complex (small subunit and internal transcribed spacer regions) and Ichthyophonus epidemiological characteristics indicate a low probability that Ichthyophonus was co-introduced with American shad from the Atlantic; rather, Ichthyophonus was likely endemic to marine areas of the Pacific region and amplified by the expanding population of a highly susceptible host species. The migratory life history of shad resulted in the transport of amplified Ichthyophonus from its endemic region in the NE Pacific to the Columbia River watershed. An Ichthyophonus epizootic occurred among American shad in the Columbia River during 2007, when infection prevalence was 72%, and 57% of the infections were scored as moderate or heavy intensities. The epizootic occurred near the record peak of shad biomass in the Columbia River, and corresponded to an influx of 1,595 mt of infected shad tissues into the Columbia River. A high potential for parasite spillback and the establishment of a freshwater Ichthyophonus life cycle in the Columbia River results from currently elevated infection pressures, broad host range, plasticity in Ichthyophonus life history stages, and precedents for establishment of the parasite in other freshwater systems. The results raise questions regarding the risk for sympatric salmonids and the role of Ichthyophonus as a population-limiting factor affecting American shad in the Columbia River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-010-9760-5","usgsCitation":"Hershberger, P., Leeuw, B., Jacob, G., Grady, C., Lujan, K., Gutenberger, S., Purcell, M., Woodson, J., Winton, J., and Parsley, M., 2010, Amplification and transport of an endemic fish disease by an introduced species: Biological Invasions, v. 12, no. 11, p. 3665-3675, https://doi.org/10.1007/s10530-010-9760-5.","productDescription":"11 p.","startPage":"3665","endPage":"3675","ipdsId":"IP-021310","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270817,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-010-9760-5"}],"volume":"12","issue":"11","noUsgsAuthors":false,"publicationDate":"2010-04-17","publicationStatus":"PW","scienceBaseUri":"5167db66e4b0ec0efb666f0a","contributors":{"authors":[{"text":"Hershberger, Paul","contributorId":92557,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[],"preferred":false,"id":474067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leeuw, Bjorn","contributorId":45981,"corporation":false,"usgs":true,"family":"Leeuw","given":"Bjorn","email":"","affiliations":[],"preferred":false,"id":474062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacob, Gregg","contributorId":14709,"corporation":false,"usgs":true,"family":"Jacob","given":"Gregg","email":"","affiliations":[],"preferred":false,"id":474060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grady, Courtney","contributorId":39671,"corporation":false,"usgs":true,"family":"Grady","given":"Courtney","affiliations":[],"preferred":false,"id":474061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lujan, Kenneth","contributorId":80159,"corporation":false,"usgs":true,"family":"Lujan","given":"Kenneth","email":"","affiliations":[],"preferred":false,"id":474065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gutenberger, Susan","contributorId":98190,"corporation":false,"usgs":true,"family":"Gutenberger","given":"Susan","email":"","affiliations":[],"preferred":false,"id":474068,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474059,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woodson, James","contributorId":86664,"corporation":false,"usgs":true,"family":"Woodson","given":"James","affiliations":[],"preferred":false,"id":474066,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winton, James","contributorId":53897,"corporation":false,"usgs":true,"family":"Winton","given":"James","affiliations":[],"preferred":false,"id":474064,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parsley, Michael","contributorId":52060,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","affiliations":[],"preferred":false,"id":474063,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70043685,"text":"70043685 - 2010 - Improving inferences from fisheries capture-recapture studies through remote detection of PIT tags","interactions":[],"lastModifiedDate":"2013-06-06T13:58:33","indexId":"70043685","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Improving inferences from fisheries capture-recapture studies through remote detection of PIT tags","docAbstract":"Models for capture-recapture data are commonly used in analyses of the dynamics of fish and wildlife populations, especially for estimating vital parameters such as survival. Capture-recapture methods provide more reliable inferences than other methods commonly used in fisheries studies. However, for rare or elusive fish species, parameter estimation is often hampered by small probabilities of re-encountering tagged fish when encounters are obtained through traditional sampling methods. We present a case study that demonstrates how remote antennas for passive integrated transponder (PIT) tags can increase encounter probabilities and the precision of survival estimates from capture-recapture models. Between 1999 and 2007, trammel nets were used to capture and tag over 8,400 endangered adult Lost River suckers (Deltistes luxatus) during the spawning season in Upper Klamath Lake, Oregon. Despite intensive sampling at relatively discrete spawning areas, encounter probabilities from Cormack-Jolly-Seber models were consistently low (< 0.2) and the precision of apparent annual survival estimates was poor. Beginning in 2005, remote PIT tag antennas were deployed at known spawning locations to increase the probability of re-encountering tagged fish. We compare results based only on physical recaptures with results based on both physical recaptures and remote detections to demonstrate the substantial improvement in estimates of encounter probabilities (approaching 100%) and apparent annual survival provided by the remote detections. The richer encounter histories provided robust inferences about the dynamics of annual survival and have made it possible to explore more realistic models and hypotheses about factors affecting the conservation and recovery of this endangered species. Recent advances in technology related to PIT tags have paved the way for creative implementation of large-scale tagging studies in systems where they were previously considered impracticable.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1577/1548-8446-35.5.217","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B., and Shively, R.S., 2010, Improving inferences from fisheries capture-recapture studies through remote detection of PIT tags: Fisheries, v. 35, no. 5, p. 217-231, https://doi.org/10.1577/1548-8446-35.5.217.","productDescription":"15 p.","startPage":"217","endPage":"231","ipdsId":"IP-016069","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":273408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273407,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/1548-8446-35.5.217"}],"volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-05-01","publicationStatus":"PW","scienceBaseUri":"51b1bbd3e4b022a6a540f9e4","contributors":{"authors":[{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janney, Eric C. 0000-0002-0228-2174","orcid":"https://orcid.org/0000-0002-0228-2174","contributorId":83629,"corporation":false,"usgs":true,"family":"Janney","given":"Eric","email":"","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Brian S. 0000-0001-8229-4070","orcid":"https://orcid.org/0000-0001-8229-4070","contributorId":37022,"corporation":false,"usgs":true,"family":"Hayes","given":"Brian S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shively, Rip S. rsshively@usgs.gov","contributorId":233,"corporation":false,"usgs":true,"family":"Shively","given":"Rip","email":"rsshively@usgs.gov","middleInitial":"S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":474069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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