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Herbivory has played a major role in dictating vegetation abundance and species composition at Kingman Marsh in Anacostia Park, Washington, D.C., since restoration of this tidal freshwater wetland was initiated in 2000. In June 2009 an herbivory study was established to document the impacts of resident Canada goose (Branta canadensis maxima) herbivory to vegetation at Kingman Marsh. Sixteen modules consisting of paired exclosed plots and unfenced control plots were constructed. Eight of the modules were installed in vegetated portions of the restoration site that had been protected over time by fencing, while the remaining eight modules were placed in portions of the site that had not been protected over time and were basically unvegetated at the start of the experiment. Since the experiment was designed to determine the impacts of herbivory by resident Canada geese as opposed to other herbivores, exclosure fencing was elevated 0.2 m to permit access by herbivores such as fish and turtles while excluding mature Canada geese. Repeated measures analysis of variance (ANOVA) was used to analyze the differences between paired exclosure and control plots for a number of variables including total vegetative cover. Differences in total vegetative cover were not significant for the baseline data collected in June. By contrast, two months after the old protective fencing was removed from the initially-vegetated areas to allow Canada geese access to the control plots, total vegetative cover had declined dramatically in the initially-vegetated control plots, and differences between paired exclosed and control plots were significant (P = 0.0026). No herbivory by Canada geese or other herbivores such as fish or turtles was observed in the exclosures. These results show that Canada goose herbivory has inflicted significant damage to the native wetland vegetation in the portions of Kingman Marsh that had been refenced and replanted. Significant differences in total vegetative cover were limited to the eight modules installed in areas already vegetated by previous restoration efforts and protected until the start of the study, suggesting that areas of Kingman that are essentially devoid of vegetation would take longer than a growing season to show signs of improvement once goose herbivory impacts have been reduced.

","language":"English","publisher":"Department of Interior, National Park Service","publisherLocation":"Washington, D.C.","usgsCitation":"Krafft, C., Hatfield, J.S., and Hammerschlag, R.S., 2010, Tidal freshwater wetland herbivory in Anacostia Park: Natural Resource Technical Report NPS/NCR/NCRO/NRTR2010/002, vii, 28 p.","productDescription":"vii, 28 p.","numberOfPages":"38","ipdsId":"IP-035970","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":329751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58088689e4b0f497e78e24df","contributors":{"authors":[{"text":"Krafft, Cairn ckrafft@usgs.gov","contributorId":3480,"corporation":false,"usgs":true,"family":"Krafft","given":"Cairn","email":"ckrafft@usgs.gov","affiliations":[],"preferred":true,"id":651406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatfield, Jeff S.","contributorId":95187,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff","email":"","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":651407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammerschlag, Richard S.","contributorId":67206,"corporation":false,"usgs":true,"family":"Hammerschlag","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":651408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046768,"text":"dds49128 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Maximum Temperature, 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:06:07","indexId":"dds49128","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-28","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Maximum Temperature, 2002","docAbstract":"This tabular data set represents the average daily maximum temperature in Celsius multiplied by 100 for 2002, compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data were the Near-Real-Time High-Resolution Monthly Average Maximum/Minimum Temperature for the Conterminous United States for 2002 raster data set produced by the Spatial Climate Analysis Service at Oregon State University.\nThe MRB_E2RF1 catchments are based on a modified version of the Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2008). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49128","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Maximum Temperature, 2002: U.S. Geological Survey Data Series 491-28, Dataset, https://doi.org/10.3133/dds49128.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274436,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_tmax02.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f662e4b09630fbdc5275","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70009655,"text":"70009655 - 2010 - Regional estimates of ecological services derived from U.S. Department of Agriculture conservation programs in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2014-12-16T13:22:17","indexId":"70009655","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"143-013599","title":"Regional estimates of ecological services derived from U.S. Department of Agriculture conservation programs in the Mississippi Alluvial Valley","docAbstract":"

The Mississippi Alluvial Valley (MAV) is the Nation?s largest floodplain and this once predominantly forested ecosystem provided significant habitat for a diverse flora and fauna, sequestered carbon in trees and soil, and stored floodwater, sediments, and nutrients within the floodplain. This landscape has been substantially altered by the conversion of nearly 75% of the riparian forests, predominantly to agricultural cropland, with significant loss and degradation of important ecosystem services. Large-scale efforts have been employed to restore the forest and wetland resources and the U.S. Department of Agriculture (USDA) Wetlands Reserve Program (WRP) and Conservation Reserve Program (CRP) represent some of the most extensive restoration programs in the MAV. The objective of the WRP is to restore and protect the functions and values of wetlands in agricultural landscapes with an emphasis on habitat for migratory birds and wetland-dependent wildlife, protection and improvement of water quality, flood attenuation, ground water recharge, protection of native flora and fauna, and educational and scientific scholarship.

\n

 

\n

The degree to which these conservation practices can restore ecosystem functions and services is not well known. This project was initiated to quantify existing ecological services derived from USDA conservation practices in the MAV as part of the USDA Conservation Effects Assessment Project, Wetlands Component (CEAP-Wetlands). The U.S. Geological Survey (USGS), in collaboration with the USDA Natural Resources Conservation Service, the USDA Farm Service Agency, the U.S. Fish and Wildlife Service, and Ducks Unlimited, collected data on soils, vegetation, nitrogen cycling, migratory birds, and amphibians from 88 different sites between 2006 and 2008. Results from restored WRP sites were compared to baseline data from active agricultural cropland (AG) to evaluate changes in ecosystem services.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NRCS","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture Natural Resources Conservation Service","usgsCitation":"Faulkner, S.P., Baldwin, M., Barrow, W., Waddle, H., Keeland, B.D., Walls, S.C., James, D., and Moorman, T., 2010, Regional estimates of ecological services derived from U.S. Department of Agriculture conservation programs in the Mississippi Alluvial Valley, vi, 97 p.","productDescription":"vi, 97 p.","numberOfPages":"103","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018884","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":296719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296718,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs143_013599.pdf"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi Alluvial River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.30712890625,\n 29.132970130878636\n ],\n [\n -92.30712890625,\n 38.08268954483802\n ],\n [\n -87.82470703125,\n 38.08268954483802\n ],\n [\n -87.82470703125,\n 29.132970130878636\n ],\n [\n -92.30712890625,\n 29.132970130878636\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"549165d0e4b0d0759afaad93","contributors":{"authors":[{"text":"Faulkner, Stephen P. 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":374,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":536815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Michael J. 0000-0003-1939-5439 baldwinm@usgs.gov","orcid":"https://orcid.org/0000-0003-1939-5439","contributorId":3294,"corporation":false,"usgs":true,"family":"Baldwin","given":"Michael J.","email":"baldwinm@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":536816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrow, Wylie C. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":1988,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","email":"barroww@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":536817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waddle, Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":2911,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":536818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keeland, Bobby D.","contributorId":103506,"corporation":false,"usgs":true,"family":"Keeland","given":"Bobby","email":"","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":536819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":2310,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":536820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"James, Dale","contributorId":119281,"corporation":false,"usgs":false,"family":"James","given":"Dale","email":"","affiliations":[],"preferred":false,"id":513853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moorman, Tom","contributorId":118293,"corporation":false,"usgs":false,"family":"Moorman","given":"Tom","email":"","affiliations":[],"preferred":false,"id":513852,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034551,"text":"70034551 - 2010 - Modeling fire severity in black spruce stands in the Alaskan boreal forest using spectral and non-spectral geospatial data","interactions":[],"lastModifiedDate":"2017-11-22T11:30:36","indexId":"70034551","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Modeling fire severity in black spruce stands in the Alaskan boreal forest using spectral and non-spectral geospatial data","docAbstract":"

Biomass burning in the Alaskan interior is already a major disturbance and source of carbon emissions, and is likely to increase in response to the warming and drying predicted for the future climate. In addition to quantifying changes to the spatial and temporal patterns of burned areas, observing variations in severity is the key to studying the impact of changes to the fire regime on carbon cycling, energy budgets, and post-fire succession. Remote sensing indices of fire severity have not consistently been well-correlated with in situ observations of important severity characteristics in Alaskan black spruce stands, including depth of burning of the surface organic layer. The incorporation of ancillary data such as in situ observations and GIS layers with spectral data from Landsat TM/ETM+ greatly improved efforts to map the reduction of the organic layer in burned black spruce stands. Using a regression tree approach, the R2 of the organic layer depth reduction models was 0.60 and 0.55 (pb0.01) for relative and absolute depth reduction, respectively. All of the independent variables used by the regression tree to estimate burn depth can be obtained independently of field observations. Implementation of a gradient boosting algorithm improved the R2 to 0.80 and 0.79 (pb0.01) for absolute and relative organic layer depth reduction, respectively. Independent variables used in the regression tree model of burn depth included topographic position, remote sensing indices related to soil and vegetation characteristics, timing of the fire event, and meteorological data. Post-fire organic layer depth characteristics are determined for a large (N200,000 ha) fire to identify areas that are potentially vulnerable to a shift in post-fire succession. This application showed that 12% of this fire event experienced fire severe enough to support a change in post-fire succession. We conclude that non-parametric models and ancillary data are useful in the modeling of the surface organic layer fire depth. Because quantitative differences in post-fire surface characteristics do not directly influence spectral properties, these modeling techniques provide better information than the use of remote sensing data alone.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.02.001","issn":"00344257","usgsCitation":"Barrett, K.M., Kasischke, E., McGuire, A., Turetsky, M., and Kane, E., 2010, Modeling fire severity in black spruce stands in the Alaskan boreal forest using spectral and non-spectral geospatial data: Remote Sensing of Environment, v. 114, no. 7, p. 1494-1503, https://doi.org/10.1016/j.rse.2010.02.001.","productDescription":"10 p.","startPage":"1494","endPage":"1503","numberOfPages":"10","ipdsId":"IP-018226","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":243722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215887,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.02.001"}],"volume":"114","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5bf8e4b0c8380cd6f937","contributors":{"authors":[{"text":"Barrett, Kirsten M. kbarrett@usgs.gov","contributorId":2979,"corporation":false,"usgs":true,"family":"Barrett","given":"Kirsten","email":"kbarrett@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":446347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasischke, E.S.","contributorId":61201,"corporation":false,"usgs":true,"family":"Kasischke","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":446349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. 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The source data were the United States Average Monthly or Annual Minimum Temperature, 1971 - 2000 raster data set produced by the PRISM Group at Oregon State University. The MRB_E2RF1 catchments are based on a modified version of the Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). 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]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f663e4b09630fbdc5285","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036420,"text":"70036420 - 2010 - Uses and biases of volunteer water quality data","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036420","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Uses and biases of volunteer water quality data","docAbstract":"State water quality monitoring has been augmented by volunteer monitoring programs throughout the United States. Although a significant effort has been put forth by volunteers, questions remain as to whether volunteer data are accurate and can be used by regulators. In this study, typical volunteer water quality measurements from laboratory and environmental samples in Iowa were analyzed for error and bias. Volunteer measurements of nitrate+nitrite were significantly lower (about 2-fold) than concentrations determined via standard methods in both laboratory-prepared and environmental samples. Total reactive phosphorus concentrations analyzed by volunteers were similar to measurements determined via standard methods in laboratory-prepared samples and environmental samples, but were statistically lower than the actual concentration in four of the five laboratory-prepared samples. Volunteer water quality measurements were successful in identifying and classifying most of the waters which violate United States Environmental Protection Agency recommended water quality criteria for total nitrogen (66%) and for total phosphorus (52%) with the accuracy improving when accounting for error and biases in the volunteer data. An understanding of the error and bias in volunteer water quality measurements can allow regulators to incorporate volunteer water quality data into total maximum daily load planning or state water quality reporting. ?? 2010 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es100164c","issn":"0013936X","usgsCitation":"Loperfido, J., Beyer, P., Just, C., and Schnoor, J., 2010, Uses and biases of volunteer water quality data: Environmental Science & Technology, v. 44, no. 19, p. 7193-7199, https://doi.org/10.1021/es100164c.","startPage":"7193","endPage":"7199","numberOfPages":"7","costCenters":[],"links":[{"id":218349,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es100164c"},{"id":246349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"19","noUsgsAuthors":false,"publicationDate":"2010-06-11","publicationStatus":"PW","scienceBaseUri":"505bc003e4b08c986b329e9a","contributors":{"authors":[{"text":"Loperfido, J.V.","contributorId":90970,"corporation":false,"usgs":true,"family":"Loperfido","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":456055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beyer, P.","contributorId":71815,"corporation":false,"usgs":true,"family":"Beyer","given":"P.","email":"","affiliations":[],"preferred":false,"id":456054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Just, C.L.","contributorId":94899,"corporation":false,"usgs":true,"family":"Just","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":456057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schnoor, J. L.","contributorId":92095,"corporation":false,"usgs":true,"family":"Schnoor","given":"J. L.","affiliations":[],"preferred":false,"id":456056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043939,"text":"70043939 - 2010 - Introduction: Tagging, telemetry, and marking compendium project","interactions":[],"lastModifiedDate":"2022-12-27T14:58:57.819871","indexId":"70043939","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":205,"text":"PNAMP Report Series","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"2010-002","chapter":"1","title":"Introduction: Tagging, telemetry, and marking compendium project","docAbstract":"

Goal and Objectives of the Compendium

\n

The goal of this compendium is to integrate profiles of on-going, individual, disparate efforts implementing the science of tagging, telemetry, and marking (TTM) into a compilation of experience to inform the development of fish population monitoring. This is accomplished by meeting the following objectives:

\n

• Provide the region with information and peer reviewed analyses to facilitate optimization of the use of TTM technology and designs in a comparable and consistent manner.

\n

• Provide findings that are organized, peer reviewed, and communicated widely.

\n

• Increase the opportunity for data collection to provide more reliable information and result in improved analyses and higher confidence in data analyses for making informed and more relevant decisions.

","largerWorkTitle":"Tagging, telemetry, and marking measures for monitoring fish populations: A compendium of new and recent science for use in informing technique and decision modalities","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","publisherLocation":"Seattle, WA","usgsCitation":"Wolf, K.S., and Waste, S., 2010, Introduction: Tagging, telemetry, and marking compendium project: PNAMP Report Series 2010-002, 4 p.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018295","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":307458,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b9e4b0518e354dd196","contributors":{"authors":[{"text":"Wolf, Keith S.","contributorId":177730,"corporation":false,"usgs":false,"family":"Wolf","given":"Keith","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":516963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waste, Stephen M. swaste@usgs.gov","contributorId":3837,"corporation":false,"usgs":true,"family":"Waste","given":"Stephen M.","email":"swaste@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":569840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037051,"text":"70037051 - 2010 - Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037051","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification","docAbstract":"Natural tags based on DNA fingerprints or natural features of animals are now becoming very widely used in wildlife population biology. However, classic capture-recapture models do not allow for misidentification of animals which is a potentially very serious problem with natural tags. Statistical analysis of misidentification processes is extremely difficult using traditional likelihood methods but is easily handled using Bayesian methods. We present a general framework for Bayesian analysis of categorical data arising from a latent multinomial distribution. Although our work is motivated by a specific model for misidentification in closed population capture-recapture analyses, with crucial assumptions which may not always be appropriate, the methods we develop extend naturally to a variety of other models with similar structure. Suppose that observed frequencies f are a known linear transformation f = A???x of a latent multinomial variable x with cell probability vector ?? = ??(??). Given that full conditional distributions [?? | x] can be sampled, implementation of Gibbs sampling requires only that we can sample from the full conditional distribution [x | f, ??], which is made possible by knowledge of the null space of A???. We illustrate the approach using two data sets with individual misidentification, one simulated, the other summarizing recapture data for salamanders based on natural marks. ?? 2009, The International Biometric Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biometrics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1541-0420.2009.01244.x","issn":"0006341X","usgsCitation":"Link, W., Yoshizaki, J., Bailey, L., and Pollock, K.H., 2010, Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification: Biometrics, v. 66, no. 1, p. 178-185, https://doi.org/10.1111/j.1541-0420.2009.01244.x.","startPage":"178","endPage":"185","numberOfPages":"8","costCenters":[],"links":[{"id":475979,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1541-0420.2009.01244.x","text":"Publisher Index Page"},{"id":217074,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1541-0420.2009.01244.x"},{"id":244986,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-03-17","publicationStatus":"PW","scienceBaseUri":"505bbc31e4b08c986b328ac5","contributors":{"authors":[{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":459153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoshizaki, J.","contributorId":79596,"corporation":false,"usgs":true,"family":"Yoshizaki","given":"J.","email":"","affiliations":[],"preferred":false,"id":459156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, L.L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":61006,"corporation":false,"usgs":true,"family":"Bailey","given":"L.L.","affiliations":[],"preferred":false,"id":459154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollock, K. H.","contributorId":65184,"corporation":false,"usgs":false,"family":"Pollock","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":459155,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036481,"text":"70036481 - 2010 - Sap flux-scaled transpiration by tamarisk (Tamarix spp.) before, during and after episodic defoliation by the saltcedar leaf beetle (Diorhabda carinulata)","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70036481","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Sap flux-scaled transpiration by tamarisk (Tamarix spp.) before, during and after episodic defoliation by the saltcedar leaf beetle (Diorhabda carinulata)","docAbstract":"The release of the saltcedar beetle (Diorhabda carinulata) has resulted in the periodic defoliation of tamarisk (Tamarix spp.) along more than 1000 river km in the upper Colorado River Basin and is expected to spread along many other river reaches throughout the upper basin, and possibly into the lower Colorado River Basin. Identifying the impacts of these release programs on tamarisk water use and subsequent water cycling in arid riparian systems are largely unknown, due in part to the difficulty of measuring water fluxes in these systems. We used lab-calibrated, modified heat-dissipation sap flux sensors to monitor tamarisk water use (n=20 trees) before, during and after defoliation by the saltcedar leaf beetle during the 2008 and 2009 growing seasons (May-October) in southeastern Utah. We incorporated a simple model that related mean stem sap flux density (Js) with atmospheric vapor pressure deficit (vpd) before the onset of defoliation in 2008. The model was used to calculate differences between predicted Js and Js measured throughout the two growing seasons. Episodic defoliation resulted in a 16% reduction in mean annual rates of Js in both 2008 and 2009, with decreases occurring only during the periods in which the trees were defoliated (about 6-8 weeks per growing season). In other words, rates of Js rebounded to values predicted by the model when the trees produced new leaves after defoliation. Sap flux data were scaled to stand water use by constructing a tamarisk-specific allometric equation to relate conducting sapwood area to stem diameter, and by measuring the size distribution of stems within the stand. Total water use in both years was 0.224m, representing a reduction of about 0.04myr-1. Results showed that repeated defoliation/refoliation cycles did not result in a progressive decrease in either leaf production or water use over the duration of the study. This investigation improves ground-based estimates of tamarisk water use, and will support future efforts to characterize impacts of the beetle on basin-wide hydrologic processes. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural and Forest Meteorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.agrformet.2010.07.009","issn":"01681923","usgsCitation":"Hultine, K.R., Nagler, P., Morino, K., Bush, S., Burtch, K., Dennison, P., Glenn, E.P., and Ehleringer, J., 2010, Sap flux-scaled transpiration by tamarisk (Tamarix spp.) before, during and after episodic defoliation by the saltcedar leaf beetle (Diorhabda carinulata): Agricultural and Forest Meteorology, v. 150, no. 11, p. 1467-1475, https://doi.org/10.1016/j.agrformet.2010.07.009.","startPage":"1467","endPage":"1475","numberOfPages":"9","costCenters":[],"links":[{"id":218265,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agrformet.2010.07.009"},{"id":246261,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"150","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86bde4b08c986b3160de","contributors":{"authors":[{"text":"Hultine, K. R.","contributorId":102281,"corporation":false,"usgs":false,"family":"Hultine","given":"K.","middleInitial":"R.","affiliations":[],"preferred":false,"id":456352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, P.L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":29937,"corporation":false,"usgs":true,"family":"Nagler","given":"P.L.","affiliations":[],"preferred":false,"id":456348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morino, K.","contributorId":10614,"corporation":false,"usgs":true,"family":"Morino","given":"K.","affiliations":[],"preferred":false,"id":456345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bush, S.E.","contributorId":78567,"corporation":false,"usgs":true,"family":"Bush","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":456351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burtch, K.G.","contributorId":18213,"corporation":false,"usgs":true,"family":"Burtch","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":456346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dennison, P.E.","contributorId":73430,"corporation":false,"usgs":true,"family":"Dennison","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":456350,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glenn, E. P.","contributorId":24463,"corporation":false,"usgs":false,"family":"Glenn","given":"E.","middleInitial":"P.","affiliations":[],"preferred":false,"id":456347,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ehleringer, J.R.","contributorId":47965,"corporation":false,"usgs":true,"family":"Ehleringer","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":456349,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70036423,"text":"70036423 - 2010 - Assessment of extreme quantitative precipitation forecasts and development of regional extreme event thresholds using data from HMT-2006 and COOP observers","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036423","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of extreme quantitative precipitation forecasts and development of regional extreme event thresholds using data from HMT-2006 and COOP observers","docAbstract":"Extreme precipitation events, and the quantitative precipitation forecasts (QPFs) associated with them, are examined. The study uses data from the Hydrometeorology Testbed (HMT), which conducted its first field study in California during the 2005/06 cool season. National Weather Service River Forecast Center (NWS RFC) gridded QPFs for 24-h periods at 24-h (day 1), 48-h (day 2), and 72-h (day 3) forecast lead times plus 24-h quantitative precipitation estimates (QPEs) fromsites in California (CA) and Oregon-Washington (OR-WA) are used. During the 172-day period studied, some sites received more than 254 cm (100 in.) of precipitation. The winter season produced many extreme precipitation events, including 90 instances when a site received more than 7.6 cm (3.0 in.) of precipitation in 24 h (i.e., an \"event\") and 17 events that exceeded 12.7 cm (24 h)-1 [5.0 in. (24 h)-1]. For the 90 extreme events f.7.6 cm (24 h)-1 [3.0 in. (24 h)-1]g, almost 90% of all the 270 QPFs (days 1-3) were biased low, increasingly so with greater lead time. Of the 17 observed events exceeding 12.7 cm (24 h)-1 [5.0 in. (24 h)-1], only 1 of those events was predicted to be that extreme. Almost all of the extreme events correlated with the presence of atmospheric river conditions. Total seasonal QPF biases for all events fi.e., $0.025 cm (24 h)-1 [0.01 in. (24 h)-1]g were sensitive to local geography and were generally biased low in the California-Nevada River Forecast Center (CNRFC) region and high in the Northwest River Forecast Center(NWRFC) domain. The low bias in CA QPFs improved with shorter forecast lead time and worsened for extreme events. Differences were also noted between the CNRFC and NWRFC in terms of QPF and the frequency of extreme events. A key finding from this study is that there were more precipitation events .7.6 cm (24 h)-1 [3.0 in. (24 h)21] in CA than in OR-WA. Examination of 422 Cooperative Observer Program (COOP) sites in the NWRFC domain and 400 in the CNRFC domain found that the thresholds for the top 1% and top 0.1%of precipitation events were 7.6 cm (24 h)21 [3.0 in. (24 h)-1] and 14.2 cm (24 h)-1 [5.6 in. (24 h)-1] or greater for the CNRFC and only 5.1 cm (24 h)-1 [2.0 in. (24 h)-1] and 9.4 cm (24 h)-1 [3.7 in. (24 h)-1] for the NWRFC, respectively. Similar analyses for all NWS RFCs showed that the threshold for the top 1% of events varies from;3.8 cm (24 h)-1 [1.5 in. (24 h)-1] in the Colorado Basin River Forecast Center (CBRFC) to~5.1 cm (24 h)-1 [3.0 in. (24 h)-1] in the northern tier of RFCs and;7.6 cm (24 h)-1 [3.0 in. (24 h)-1] in both the southern tier and the CNRFC. It is recommended that NWS QPF performance in the future be assessed for extreme events using these thresholds. ?? 2010 American Meteorological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrometeorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2010JHM1232.1","issn":"1525755X","usgsCitation":"Ralph, F., Sukovich, E., Reynolds, D., Dettinger, M., Weagle, S., Clark, W., and Neiman, P., 2010, Assessment of extreme quantitative precipitation forecasts and development of regional extreme event thresholds using data from HMT-2006 and COOP observers: Journal of Hydrometeorology, v. 11, no. 6, p. 1286-1304, https://doi.org/10.1175/2010JHM1232.1.","startPage":"1286","endPage":"1304","numberOfPages":"19","costCenters":[],"links":[{"id":475889,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010jhm1232.1","text":"Publisher Index Page"},{"id":218377,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2010JHM1232.1"},{"id":246379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"5059ee2fe4b0c8380cd49bf1","contributors":{"authors":[{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":456078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sukovich, E.","contributorId":25395,"corporation":false,"usgs":true,"family":"Sukovich","given":"E.","email":"","affiliations":[],"preferred":false,"id":456077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, D.","contributorId":76149,"corporation":false,"usgs":true,"family":"Reynolds","given":"D.","affiliations":[],"preferred":false,"id":456080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, M. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":78909,"corporation":false,"usgs":true,"family":"Dettinger","given":"M.","affiliations":[],"preferred":false,"id":456081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weagle, S.","contributorId":74616,"corporation":false,"usgs":true,"family":"Weagle","given":"S.","email":"","affiliations":[],"preferred":false,"id":456079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, W.","contributorId":102315,"corporation":false,"usgs":true,"family":"Clark","given":"W.","affiliations":[],"preferred":false,"id":456082,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neiman, P.J.","contributorId":14991,"corporation":false,"usgs":true,"family":"Neiman","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":456076,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046631,"text":"ds587A - 2010 - National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 1, Northwest United States: IMPV01_1","interactions":[],"lastModifiedDate":"2013-06-17T15:25:24","indexId":"ds587A","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"587","chapter":"A","title":"National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 1, Northwest United States: IMPV01_1","docAbstract":"This 30-meter resolution data set represents the imperviousness layer for the conterminous United States for the 2001 time period. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System, browse graphic: nlcd01-partition. The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer and others (2004) and http://www.mrlc.gov/mrlc2k.asp.. The NLCD 2001 was created by partitioning the United States into mapping-zones. A total of 68 mapping-zones browse graphic: nlcd01-mappingzones.jpg were delineated within the conterminous United States based on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat mosaics. Mapping-zones encompass the whole or parts of several states. Questions about the NLCD mapping zones can be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds587A","usgsCitation":"LaMotte, A.E., and Wieczorek, M., 2010, National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 1, Northwest United States: IMPV01_1 (Version 1): U.S. Geological Survey Data Series 587, Dataset, https://doi.org/10.3133/ds587A.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273856,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/impv01_1.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.307900,36.820901 ], [ -128.307900,51.834455 ], [ -98.182478,51.834455 ], [ -98.182478,36.820901 ], [ -128.307900,36.820901 ] ] ] } } ] }","edition":"Version 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff2e4b0ee1529ed3d20","contributors":{"authors":[{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479904,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046763,"text":"dds49126 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics","interactions":[],"lastModifiedDate":"2013-11-25T16:06:02","indexId":"dds49126","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-26","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics","docAbstract":"This tabular data set represents estimated soil variables compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The variables included are cation exchange capacity, percent calcium carbonate, slope, water-table depth, soil thickness, hydrologic soil group, soil erodibility (k-factor), permeability, average water capacity, bulk density, percent organic material, percent clay, percent sand, and percent silt. The source data set is the State Soil ( STATSGO ) Geographic Database (Wolock, 1997). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49126","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: STATSGO Soil Characteristics: U.S. Geological Survey Data Series 491-26, Dataset, https://doi.org/10.3133/dds49126.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274427,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_statsgo.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f663e4b09630fbdc527d","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480184,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037291,"text":"70037291 - 2010 - A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037291","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA","docAbstract":"Five palynological biozones are proposed for the uppermost Santonian and Campanian Stages of South Carolina. In ascending stratigraphic order, these highest-occurrence interval zones are the Osculapollis vestibulus (Ov) Biozone, the Holkopollenites propinquus (Hp) Biozone, the Holkopollenites forix (Hf) Biozone, the Complexiopollis abditus (Ca) Biozone, and the Osculapollis aequalis (Oa) Biozone. These biozones are based on an analysis of more than 400 subsurface and outcrop samples throughout the Coastal Plain Province of South Carolina, and the adjacent states of Georgia and North Carolina. Integration of the biostratigraphy with lithostratigraphy and geophysical log data suggests that the lower and upper boundaries of each biozone are bounded by regional unconformities. Five new species are described, and an emendation is presented for one additional species. ?? 2009 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cretaceous Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cretres.2009.09.004","issn":"01956671","usgsCitation":"Christopher, R.A., and Prowell, D., 2010, A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA: Cretaceous Research, v. 31, no. 2, p. 101-129, https://doi.org/10.1016/j.cretres.2009.09.004.","startPage":"101","endPage":"129","numberOfPages":"29","costCenters":[],"links":[{"id":217404,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cretres.2009.09.004"},{"id":245350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4d1e4b0c8380cd4694e","contributors":{"authors":[{"text":"Christopher, R. A.","contributorId":53775,"corporation":false,"usgs":true,"family":"Christopher","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prowell, D.C.","contributorId":95475,"corporation":false,"usgs":true,"family":"Prowell","given":"D.C.","affiliations":[],"preferred":false,"id":460301,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037295,"text":"70037295 - 2010 - Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70037295","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish","docAbstract":"We developed stochastic matrix models to evaluate the effects of hydrologic alteration and variable mortality on the population dynamics of a lotie fish in a regulated river system. Models were applied to a representative lotic fish species, the flathead catfish (Pylodictis olivaris), for which two populations were examined: a native population from a regulated reach of the Coosa River (Alabama, USA) and an introduced population from an unregulated section of the Ocmulgee River (Georgia, USA). Size-classified matrix models were constructed for both populations, and residuals from catch-curve regressions were used as indices of year class strength (i.e., recruitment). A multiple regression model indicated that recruitment of flathead catfish in the Coosa River was positively related to the frequency of spring pulses between 283 and 566 m3/s. For the Ocmulgee River population, multiple regression models indicated that year class strength was negatively related to mean March discharge and positively related to June low flow. When the Coosa population was modeled to experience five consecutive years of favorable hydrologic conditions during a 50-year projection period, it exhibited a substantial spike in size and increased at an overall 0.2% annual rate. When modeled to experience five years of unfavorable hydrologic conditions, the Coosa population initially exhibited a decrease in size but later stabilized and increased at a 0.4% annual rate following the decline. When the Ocmulgee River population was modeled to experience five years of favorable conditions, it exhibited a substantial spike in size and increased at an overall 0.4% annual rate. After the Ocmulgee population experienced five years of unfavorable conditions, a sharp decline in population size was predicted. However, the population quickly recovered, with population size increasing at a 0.3% annual rate following the decline. In general, stochastic population growth in the Ocmulgee River was more erratic and variable than population growth in the Coosa River. We encourage ecologists to develop similar models for other lotic species, particularly in regulated river systems. Successful management of fish populations in regulated systems requires that we are able to predict how hydrology affects recruitment and will ultimately influence the population dynamics of fishes. ?? 2010 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-0305.1","issn":"10510761","usgsCitation":"Sakaris, P., and Irwin, E., 2010, Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish: Ecological Applications, v. 20, no. 2, p. 483-496, https://doi.org/10.1890/08-0305.1.","startPage":"483","endPage":"496","numberOfPages":"14","costCenters":[],"links":[{"id":216999,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-0305.1"},{"id":244907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb8eae4b08c986b327b17","contributors":{"authors":[{"text":"Sakaris, P.C.","contributorId":18954,"corporation":false,"usgs":true,"family":"Sakaris","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":460314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, E.R.","contributorId":90269,"corporation":false,"usgs":true,"family":"Irwin","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":460315,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037298,"text":"70037298 - 2010 - Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska","interactions":[],"lastModifiedDate":"2018-08-20T19:39:40","indexId":"70037298","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska","docAbstract":"We studied the vegetation of Kasatochi Island, central Aleutian Islands, to provide a general field assessment regarding the survival of plants, lichens, and fungi following a destructive volcanic eruption that occurred in 2008. Plant community data were analyzed using multivariate methods to explore the relationship between pre- and post-eruption plant cover; 5 major vegetation types were identified: Honckenya peploides beach, Festuca rubra cliff shelf, Lupinus nootkatensisFestuca rubra meadow, Leymus mollis bluff ridge (and beach), and Aleuria aurantia lower slope barrens. Our study provided a very unusual glimpse into the early stages of plant primary succession on a remote island where most of the vegetation was destroyed. Plants that apparently survived the eruption dominated early plant communities. Not surprisingly, the most diverse post-eruption community most closely resembled a widespread pre-eruption type. Microhabitats where early plant communities were found were distinct and apparently crucial in determining plant survival. Comparison with volcanic events in related boreal regions indicated some post-eruption pattern similarities. ?? 2010 Regents of the University of Colorado.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Arctic, Antarctic, and Alpine Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1657/1938-4246-42.3.285","issn":"15230430","usgsCitation":"Talbot, S., Talbot, S.L., and Walker, L.R., 2010, Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska: Arctic, Antarctic, and Alpine Research, v. 42, no. 3, p. 285-296, https://doi.org/10.1657/1938-4246-42.3.285.","startPage":"285","endPage":"296","numberOfPages":"12","costCenters":[],"links":[{"id":475814,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1657/1938-4246-42.3.285","text":"External Repository"},{"id":217028,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1657/1938-4246-42.3.285"},{"id":244939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2018-01-17","publicationStatus":"PW","scienceBaseUri":"505a7e62e4b0c8380cd7a4ee","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":460319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra Looman 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":131088,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"Looman","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":460321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Lawrence R.","contributorId":12177,"corporation":false,"usgs":true,"family":"Walker","given":"Lawrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":460320,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037290,"text":"70037290 - 2010 - Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder","interactions":[],"lastModifiedDate":"2017-08-26T16:28:19","indexId":"70037290","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder","docAbstract":"The southern edge of San Francisco Bay is surrounded by former salt evaporation ponds, where tidal flow has been restricted since the mid to late 1890s. These ponds are now the focus of a large wetland restoration project, and accurate measurement of current pond bathymetry and adjacent mud flats has been critical to restoration planning. Aerial light detection and ranging (lidar) has become a tool for mapping surface elevations, but its accuracy had rarely been assessed for wetland habitats. We used a singlebeam echosounder system we developed for surveying shallow wetlands to map submerged pond bathymetry in January of 2004 and compared those results with aerial lidar surveys in two ponds that were dry in May of 2004. From those data sets, we compared elevations for 5164 (Pond E9, 154 ha) and 2628 (Pond E14, 69 ha) echosounder and lidar points within a 0.375-m radius of each other (0.750-m diameter lidar spot size). We found that mean elevations of the lidar points were lower than the echosounder results by 5 ?? 0.1 cm in Pond E9 and 2 ?? 0.2 cm in Pond E14. Only a few points (5% in Pond E9, 2% in Pond E14) differed by more than 20 cm, and some of these values may be explained by residual water in the ponds during the lidar survey or elevation changes that occurred between surveys. Our results suggest that aerial lidar may be a very accurate and rapid way to assess terrain elevations for wetland restoration projects. ?? 2010 Coastal Education and Research Foundation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2112/08-1076.1","issn":"07490208","usgsCitation":"Athearn, N., Takekawa, J.Y., Jaffe, B., Hattenbach, B., and Foxgrover, A., 2010, Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder: Journal of Coastal Research, v. 26, no. 2, p. 312-319, https://doi.org/10.2112/08-1076.1.","startPage":"312","endPage":"319","numberOfPages":"8","costCenters":[],"links":[{"id":217374,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/08-1076.1"},{"id":245319,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5056e4b0c8380cd6b60c","contributors":{"authors":[{"text":"Athearn, N.D.","contributorId":86958,"corporation":false,"usgs":true,"family":"Athearn","given":"N.D.","affiliations":[],"preferred":false,"id":460298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":460296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, B.","contributorId":78517,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","affiliations":[],"preferred":false,"id":460297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hattenbach, B.J.","contributorId":103902,"corporation":false,"usgs":true,"family":"Hattenbach","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":460299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foxgrover, A.C.","contributorId":34321,"corporation":false,"usgs":true,"family":"Foxgrover","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":460295,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70037289,"text":"70037289 - 2010 - Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037289","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2615,"text":"Letters in Applied Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR","docAbstract":"Aims: The aim of this study was to evaluate the variability in lots of a DNA extraction kit using real-time PCR assays for Bacillus anthracis, Francisella tularensis and Vibrio cholerae. Methods and Results: Replicate aliquots of three bacteria were processed in duplicate with three different lots of a commercial DNA extraction kit. This experiment was repeated in triplicate. Results showed that cycle threshold values were statistically different among the different lots. Conclusions: Differences in DNA extraction reagent lots were found to be a significant source of variability for qPCR results. Steps should be taken to ensure the quality and consistency of reagents. Minimally, we propose that standard curves should be constructed for each new lot of extraction reagents, so that lot-to-lot variation is accounted for in data interpretation. Significance and Impact of the Study: This study highlights the importance of evaluating variability in DNA extraction procedures, especially when different reagent lots are used. Consideration of this variability in data interpretation should be an integral part of studies investigating environmental samples with unknown concentrations of organisms. ?? 2010 The Society for Applied Microbiology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Letters in Applied Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1472-765X.2009.02788.x","issn":"02668254","usgsCitation":"Bushon, R., Kephart, C., Koltun, G., Francy, D., Schaefer, F.W., and Lindquist, H.A., 2010, Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR: Letters in Applied Microbiology, v. 50, no. 3, p. 276-282, https://doi.org/10.1111/j.1472-765X.2009.02788.x.","startPage":"276","endPage":"282","numberOfPages":"7","costCenters":[],"links":[{"id":217373,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1472-765X.2009.02788.x"},{"id":245318,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b971ee4b08c986b31b8bf","contributors":{"authors":[{"text":"Bushon, R.N.","contributorId":68086,"corporation":false,"usgs":true,"family":"Bushon","given":"R.N.","affiliations":[],"preferred":false,"id":460293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kephart, C.M.","contributorId":20577,"corporation":false,"usgs":true,"family":"Kephart","given":"C.M.","affiliations":[],"preferred":false,"id":460289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":460292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Francy, D.S. 0000-0001-9229-3557","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":86809,"corporation":false,"usgs":true,"family":"Francy","given":"D.S.","affiliations":[],"preferred":false,"id":460294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaefer, F. W. III","contributorId":26475,"corporation":false,"usgs":true,"family":"Schaefer","given":"F.","suffix":"III","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":460290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindquist, H.D. Alan","contributorId":48666,"corporation":false,"usgs":true,"family":"Lindquist","given":"H.D.","email":"","middleInitial":"Alan","affiliations":[],"preferred":false,"id":460291,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70037325,"text":"70037325 - 2010 - Determination of stress parameters for eight well-recorded earthquakes in eastern North America","interactions":[],"lastModifiedDate":"2012-12-19T14:44:57","indexId":"70037325","displayToPublicDate":"2010-01-01T00:00:00","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":"Determination of stress parameters for eight well-recorded earthquakes in eastern North America","docAbstract":"We determined the stress parameter, Δσ, for the eight earthquakes studied by Atkinson and Boore (2006), using an updated dataset and a revised point-source stochastic model that captures the effect of a finite fault. We consider four geometrical-spreading functions, ranging from 1/R at all distances to two- or three-part functions. The Δσ values are sensitive to the rate of geometrical spreading at close distances, with 1/R1.3 spreading implying much higher Δσ than models with 1/R spreading. The important difference in ground motions of most engineering concern, however, arises not from whether the geometrical spreading is 1/R1.3 or 1/R at close distances, but from whether a region of flat or increasing geometrical spreading at intermediate distances is present, as long as Δσ is constrained by data that are largely at distances of 100 km–800 km. The simple 1/R model fits the sparse data for the eight events as well as do more complex models determined from larger datasets (where the larger datasets were used in our previous ground-motion prediction equations); this suggests that uncertainty in attenuation rates is an important component of epistemic uncertainty in ground-motion modeling. For the attenuation model used by Atkinson and Boore (2006), the average value of Δσ from the point-source model ranges from 180 bars to 250 bars, depending on whether or not the stress parameter from the 1988 Saguenay earthquake is included in the average. We also find that Δσ for a given earthquake is sensitive to its moment magnitude M, with a change of 0.1 magnitude units producing a factor of 1.3 change in the derived Δσ.","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":"10.1785/0120090328","issn":"00371106","usgsCitation":"Boore, D., Campbell, K., and Atkinson, G.M., 2010, Determination of stress parameters for eight well-recorded earthquakes in eastern North America: Bulletin of the Seismological Society of America, v. 100, no. 4, p. 1632-1645, https://doi.org/10.1785/0120090328.","productDescription":"14 p.","startPage":"1632","endPage":"1645","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":245384,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217436,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090328"}],"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":"100","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-27","publicationStatus":"PW","scienceBaseUri":"5059ffcae4b0c8380cd4f3d3","contributors":{"authors":[{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":460480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, K.W.","contributorId":26309,"corporation":false,"usgs":true,"family":"Campbell","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":460479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, G. M.","contributorId":69283,"corporation":false,"usgs":true,"family":"Atkinson","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":460481,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037326,"text":"70037326 - 2010 - Poroelastic stress-triggering of the 2005 M8.7 Nias earthquake by the 2004 M9.2 Sumatra-Andaman earthquake","interactions":[],"lastModifiedDate":"2020-05-04T15:50:57.831693","indexId":"70037326","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Poroelastic stress-triggering of the 2005 M8.7 Nias earthquake by the 2004 M9.2 Sumatra-Andaman earthquake","docAbstract":"

The M9.2 Sumatra-Andaman earthquake (SAE) occurred three months prior to the M8.7 Nias earthquake (NE). We propose that the NE was mechanically triggered by the SAE, and that poroelastic effects were a major component of this triggering. This study uses 3D finite element models (FEMs) of the Sumatra-Andaman subduction zone (SASZ) to predict the deformation, stress, and pore pressure fields of the SAE. The coseismic slip distribution for the SAE is calibrated to near-field GPS data using FEM-generated Green's Functions and linear inverse methods. The calibrated FEM is then used to predict the postseismic poroelastic contribution to stress-triggering along the rupture surface of the NE, which is adjacent to the southern margin of the SAE. The coseismic deformation of the SAE, combined with the rheologic configuration of the SASZ produces two transient fluid flow regimes having separate time constants. SAE coseismic pore pressures in the relatively shallow forearc and volcanic arc regions (within a few km depth) dissipate within one month after the SAE. However, pore pressures in the oceanic crust of the down-going slab persist several months after the SAE. Predictions suggest that the SAE initially induced MPa-scale negative pore pressure near the hypocenter of the NE. This pore pressure slowly recovered (increased) during the three-month interval separating the SAE and NE due to lateral migration of pore fluids, driven by coseismic pressure gradients, within the subducting oceanic crust. Because pore pressure is a fundamental component of Coulomb stress, the MPa-scale increase in pore pressure significantly decreased stability of the NE fault during the three-month interval after the SAE and prior to rupture of the NE. A complete analysis of stress-triggering due to the SAE must include a poroelastic component. Failure to include poroelastic mechanics will lead to an incomplete model that cannot account for the time interval between the SAE and NE. Our transient poroelastic model explains both the spatial and temporal characteristics of triggering of the NE by the SAE. 

","largerWorkTitle":"","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2010.02.043","issn":"","usgsCitation":"Hughes, K., Masterlark, T., and Mooney, W.D., 2010, Poroelastic stress-triggering of the 2005 M8.7 Nias earthquake by the 2004 M9.2 Sumatra-Andaman earthquake: Earth and Planetary Science Letters, v. 293, no. 3-4, p. 289-299, https://doi.org/10.1016/j.epsl.2010.02.043.","productDescription":"11 p.","startPage":"289","endPage":"299","numberOfPages":"11","costCenters":[],"links":[{"id":244910,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Indian Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 24.2578125,\n -39.6395375643667\n ],\n [\n 120.9375,\n -39.6395375643667\n ],\n [\n 120.9375,\n 27.059125784374068\n ],\n [\n 24.2578125,\n 27.059125784374068\n ],\n [\n 24.2578125,\n -39.6395375643667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"293","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7dd6e4b0c8380cd7a1be","contributors":{"authors":[{"text":"Hughes, K.L.H.","contributorId":96919,"corporation":false,"usgs":true,"family":"Hughes","given":"K.L.H.","email":"","affiliations":[],"preferred":false,"id":460484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masterlark, Timothy","contributorId":92829,"corporation":false,"usgs":false,"family":"Masterlark","given":"Timothy","email":"","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":460483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":460482,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037251,"text":"70037251 - 2010 - The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037251","displayToPublicDate":"2010-01-01T00:00:00","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":"The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States","docAbstract":"I analyze the sensitivity of seismic-hazard estimates in the central and eastern United States (CEUS) to maximum magnitude (mmax) by exercising the U.S. Geological Survey (USGS) probabilistic hazard model with several mmax alternatives. Seismicity-based sources control the hazard in most of the CEUS, but data seldom provide an objective basis for estimating mmax. The USGS uses preferred mmax values of moment magnitude 7.0 and 7.5 for the CEUS craton and extended margin, respectively, derived from data in stable continental regions worldwide. Other approaches, for example analysis of local seismicity or judgment about a source's seismogenic potential, often lead to much smaller mmax. Alternative models span the mmax ranges from the 1980s Electric Power Research Institute/Seismicity Owners Group (EPRI/SOG) analysis. Results are presented as haz-ard ratios relative to the USGS national seismic hazard maps. One alternative model specifies mmax equal to moment magnitude 5.0 and 5.5 for the craton and margin, respectively, similar to EPRI/SOG for some sources. For 2% probability of exceedance in 50 years (about 0.0004 annual probability), the strong mmax truncation produces hazard ratios equal to 0.35-0.60 for 0.2-sec spectral acceleration, and 0.15-0.35 for 1.0-sec spectral acceleration. Hazard-controlling earthquakes interact with mmax in complex ways. There is a relatively weak dependence on probability level: hazardratios increase 0-15% for 0.002 annual exceedance probability and decrease 5-25% for 0.00001 annual exceedance probability. Although differences at some sites are tempered when faults are added, mmax clearly accounts for some of the discrepancies that are seen in comparisons between USGS-based and EPRI/SOG-based hazard results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090114","issn":"00371106","usgsCitation":"Mueller, C., 2010, The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States: Bulletin of the Seismological Society of America, v. 100, no. 2, p. 699-711, https://doi.org/10.1785/0120090114.","startPage":"699","endPage":"711","numberOfPages":"13","costCenters":[],"links":[{"id":217256,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090114"},{"id":245187,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-15","publicationStatus":"PW","scienceBaseUri":"505bad2ee4b08c986b323a30","contributors":{"authors":[{"text":"Mueller, C.S.","contributorId":45310,"corporation":false,"usgs":true,"family":"Mueller","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":460084,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037386,"text":"70037386 - 2010 - Santa Barbara Basin diatom and silicoflagellate response to global climate anomalies during the past 2200 years","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037386","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Santa Barbara Basin diatom and silicoflagellate response to global climate anomalies during the past 2200 years","docAbstract":"Santa Barbara Basin (SBB) diatom and silicoflagellate assemblages are quantified from a box core record spanning AD 1940-2001 and an Ocean Drilling Program Hole 893A record from ???220 BC to AD 1880. The combined relative abundance of the diatoms Fragilariopsis doliolus and Nitzschia interrupteseriata from continuous two-year sampling intervals in the box core varies with sea surface temperature (SST), suggesting its utility in SST reconstruction. The assemblage data from the ODP 893A record indicate a broad interval of generally cooler SSTs between ???AD 800 and 1350, which corresponds to the Medieval Climate Anomaly (MCA), a period of generally warmer temperatures across other regions of the northern hemisphere. The assemblages also indicate an interval of generally warmer SSTs between ???AD 1400 and 1800, a period of otherwise global cooling referred to as the Little Ice Age (LIA). The changes in assemblages of diatoms and silicoflagellates support the hypothesis that the widespread droughts of the Medieval Climate Anomaly in the Western US were associated with cooler eastern North Pacific SST. The box core assemblages have higher percentages of tropical and subtropical compared to temperate and subpolar species than the ODP samples, reflecting a response of phytoplankton communities to an unusual 20th century warming. Pseudonitzschia australis, a diatom linked with domoic acid production, begins to become more common (>3% of the diatom assemblage) in the box core only after AD 1985, suggesting a link to anthropogenic activity. ?? 2008 Elsevier Ltd and INQUA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.quaint.2008.08.007","issn":"10406182","usgsCitation":"Barron, J., Bukry, D., and Field, D., 2010, Santa Barbara Basin diatom and silicoflagellate response to global climate anomalies during the past 2200 years: Quaternary International, v. 215, no. 1-2, p. 34-44, https://doi.org/10.1016/j.quaint.2008.08.007.","startPage":"34","endPage":"44","numberOfPages":"11","costCenters":[],"links":[{"id":217381,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quaint.2008.08.007"},{"id":245326,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"215","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86b4e4b08c986b3160ac","contributors":{"authors":[{"text":"Barron, J.A. 0000-0002-9309-1145","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":95461,"corporation":false,"usgs":true,"family":"Barron","given":"J.A.","affiliations":[],"preferred":false,"id":460819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, D.","contributorId":15338,"corporation":false,"usgs":true,"family":"Bukry","given":"D.","affiliations":[],"preferred":false,"id":460818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, D.","contributorId":14669,"corporation":false,"usgs":true,"family":"Field","given":"D.","email":"","affiliations":[],"preferred":false,"id":460817,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037231,"text":"70037231 - 2010 - Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods","interactions":[],"lastModifiedDate":"2018-03-08T13:02:07","indexId":"70037231","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods","docAbstract":"

A prototype method was developed to update the U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001 to a nominal date of 2006. NLCD 2001 is widely used as a baseline for national land cover and impervious cover conditions. To enable the updating of this database in an optimal manner, methods are designed to be accomplished by individual Landsat scene. Using conservative change thresholds based on land cover classes, areas of change and no-change were segregated from change vectors calculated from normalized Landsat scenes from 2001 and 2006. By sampling from NLCD 2001 impervious surface in unchanged areas, impervious surface predictions were estimated for changed areas within an urban extent defined by a companion land cover classification. Methods were developed and tested for national application across six study sites containing a variety of urban impervious surface. Results show the vast majority of impervious surface change associated with urban development was captured, with overall RMSE from 6.86 to 13.12% for these areas. Changes of urban development density were also evaluated by characterizing the categories of change by percentile for impervious surface. This prototype method provides a relatively low cost, flexible approach to generate updated impervious surface using NLCD 2001 as the baseline.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.02.018","issn":"00344257","usgsCitation":"Xian, G., and Homer, C.G., 2010, Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods: Remote Sensing of Environment, v. 114, no. 8, p. 1676-1686, https://doi.org/10.1016/j.rse.2010.02.018.","productDescription":"11 p.","startPage":"1676","endPage":"1686","numberOfPages":"11","ipdsId":"IP-016198","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245347,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217401,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.02.018"}],"volume":"114","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbd1ee4b08c986b328ed4","contributors":{"authors":[{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":459986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":459985,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037227,"text":"70037227 - 2010 - Carbon dioxide emission factors for U.S. coal by origin and destination","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037227","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide emission factors for U.S. coal by origin and destination","docAbstract":"This paper describes a method that uses published data to calculate locally robust CO2 emission factors for U.S. coal. The method is demonstrated by calculating CO2 emission factors by coal origin (223 counties, in 1999) and destination (479 power plants, in 2005). Locally robust CO2 emission factors should improve the accuracy and verification of greenhouse gas emission measurements from individual coal-fired power plants. Based largely on the county origin, average emission factors for U.S. lignite, subbituminous, bituminous, and anthracite coal produced during 1999 were 92.97,91.97,88.20, and 98.91 kg CO2/GJgross, respectively. However, greater variation is observed within these rank classes than between them, which limits the reliability of CO2 emission factors specified by coal rank. Emission factors calculated by destination (power plant) showed greater variation than those listed in the Emissions & Generation Resource Integrated Database (eGRID), which exhibit an unlikely uniformity that is inconsistent with the natural variation of CO2 emission factors for U.S. coal. ?? 2010 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es9027259","issn":"0013936X","usgsCitation":"Quick, J., 2010, Carbon dioxide emission factors for U.S. coal by origin and destination: Environmental Science & Technology, v. 44, no. 7, p. 2709-2714, https://doi.org/10.1021/es9027259.","startPage":"2709","endPage":"2714","numberOfPages":"6","costCenters":[],"links":[{"id":217341,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9027259"},{"id":245284,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-03-16","publicationStatus":"PW","scienceBaseUri":"5059f35fe4b0c8380cd4b761","contributors":{"authors":[{"text":"Quick, J.C.","contributorId":80848,"corporation":false,"usgs":true,"family":"Quick","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":459977,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037467,"text":"70037467 - 2010 - A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037467","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska","docAbstract":"Shrub cover appears to be increasing across many areas of the Arctic tundra biome, and increasing shrub cover in the Arctic has the potential to significantly impact global carbon budgets and the global climate system. For most of the Arctic, however, there is no existing baseline inventory of shrub canopy cover, as existing maps of Arctic vegetation provide little information about the density of shrub cover at a moderate spatial resolution across the region. Remotely-sensed fractional shrub canopy maps can provide this necessary baseline inventory of shrub cover. In this study, we compare the accuracy of fractional shrub canopy (> 0.5 m tall) maps derived from multi-spectral, multi-angular, and multi-temporal datasets from Landsat imagery at 30 m spatial resolution, Moderate Resolution Imaging SpectroRadiometer (MODIS) imagery at 250 m and 500 m spatial resolution, and MultiAngle Imaging Spectroradiometer (MISR) imagery at 275 m spatial resolution for a 1067 km2 study area in Arctic Alaska. The study area is centered at 69 ??N, ranges in elevation from 130 to 770 m, is composed primarily of rolling topography with gentle slopes less than 10??, and is free of glaciers and perennial snow cover. Shrubs > 0.5 m in height cover 2.9% of the study area and are primarily confined to patches associated with specific landscape features. Reference fractional shrub canopy is determined from in situ shrub canopy measurements and a high spatial resolution IKONOS image swath. Regression tree models are constructed to estimate fractional canopy cover at 250 m using different combinations of input data from Landsat, MODIS, and MISR. Results indicate that multi-spectral data provide substantially more accurate estimates of fractional shrub canopy cover than multi-angular or multi-temporal data. Higher spatial resolution datasets also provide more accurate estimates of fractional shrub canopy cover (aggregated to moderate spatial resolutions) than lower spatial resolution datasets, an expected result for a study area where most shrub cover is concentrated in narrow patches associated with rivers, drainages, and slopes. Including the middle infrared bands available from Landsat and MODIS in the regression tree models (in addition to the four standard visible and near-infrared spectral bands) typically results in a slight boost in accuracy. Including the multi-angular red band data available from MISR in the regression tree models, however, typically boosts accuracy more substantially, resulting in moderate resolution fractional shrub canopy estimates approaching the accuracy of estimates derived from the much higher spatial resolution Landsat sensor. Given the poor availability of snow and cloud-free Landsat scenes in many areas of the Arctic and the promising results demonstrated here by the MISR sensor, MISR may be the best choice for large area fractional shrub canopy mapping in the Alaskan Arctic for the period 2000-2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.rse.2010.01.012","issn":"00344257","usgsCitation":"Selkowitz, D., 2010, A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in Arctic Alaska: Remote Sensing of Environment, v. 114, no. 7, p. 1338-1352, https://doi.org/10.1016/j.rse.2010.01.012.","startPage":"1338","endPage":"1352","numberOfPages":"15","costCenters":[],"links":[{"id":217035,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.01.012"},{"id":244946,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e36fe4b0c8380cd45ff9","contributors":{"authors":[{"text":"Selkowitz, D.J.","contributorId":82886,"corporation":false,"usgs":true,"family":"Selkowitz","given":"D.J.","affiliations":[],"preferred":false,"id":461205,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037471,"text":"70037471 - 2010 - Use of multiple dispersal pathways facilitates amphibian persistence in stream networks","interactions":[],"lastModifiedDate":"2012-03-12T17:22:09","indexId":"70037471","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Use of multiple dispersal pathways facilitates amphibian persistence in stream networks","docAbstract":"Although populations of amphibians are declining worldwide, there is no evidence that salamanders occupying small streams are experiencing enigmatic declines, and populations of these species seem stable. Theory predicts that dispersal through multiple pathways can stabilize populations, preventing extinction in habitat networks. However, empirical data to support this prediction are absent for most species, especially those at risk of decline. Our mark-recapture study of stream salamanders reveals both a strong upstream bias in dispersal and a surprisingly high rate of overland dispersal to adjacent headwater streams. This evidence of route-dependent variation in dispersal rates suggests a spatial mechanism for population stability in headwater-stream salamanders. Our results link the movement behavior of stream salamanders to network topology, and they underscore the importance of identifying and protecting critical dispersal pathways when addressing region-wide population declines.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1073/pnas.1000266107","issn":"00278424","usgsCitation":"Campbell, G.E., Nichols, J., Lowe, W., and Fagan, W., 2010, Use of multiple dispersal pathways facilitates amphibian persistence in stream networks: Proceedings of the National Academy of Sciences of the United States of America, v. 107, no. 15, p. 6936-6940, https://doi.org/10.1073/pnas.1000266107.","startPage":"6936","endPage":"6940","numberOfPages":"5","costCenters":[],"links":[{"id":475843,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1073/pnas.1000266107","text":"External Repository"},{"id":217065,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1000266107"},{"id":244977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"15","noUsgsAuthors":false,"publicationDate":"2010-03-29","publicationStatus":"PW","scienceBaseUri":"505bbf48e4b08c986b329a73","contributors":{"authors":[{"text":"Campbell, Grant E.H.","contributorId":44650,"corporation":false,"usgs":true,"family":"Campbell","given":"Grant","email":"","middleInitial":"E.H.","affiliations":[],"preferred":false,"id":461217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":461216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, W.H.","contributorId":91961,"corporation":false,"usgs":true,"family":"Lowe","given":"W.H.","affiliations":[],"preferred":false,"id":461218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagan, W.F.","contributorId":105829,"corporation":false,"usgs":true,"family":"Fagan","given":"W.F.","email":"","affiliations":[],"preferred":false,"id":461219,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}