{"pageNumber":"737","pageRowStart":"18400","pageSize":"25","recordCount":46677,"records":[{"id":70034328,"text":"70034328 - 2010 - Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034328","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","docAbstract":"Groundwater modeling has become a vital component to water supply and contaminant transport investigations. An important component of groundwater modeling under steady state conditions is selecting a representative hydraulic conductivity (K) estimate or set of estimates which defines the K field of the studied region. Currently, there are a number of characterization approaches to obtain K at various scales and in varying degrees of detail, but there is a paucity of information in terms of which characterization approach best predicts flow through aquifers or drawdowns caused by some drawdown inducing events. The main objective of this paper is to assess K estimates obtained by various approaches by predicting drawdowns from independent cross-hole pumping tests and total flow rates through a synthetic heterogeneous aquifer from flow-through tests. Specifically, we (1) characterize a synthetic heterogeneous aquifer built in the sandbox through various techniques (permeameter analyses of core samples, single-hole, cross-hole, and flow-through testing), (2) obtain mean K fields through traditional analysis of test data by treating the medium to be homogeneous, (3) obtain heterogeneous K fields through kriging and steady state hydraulic tomography, and (4) conduct forward simulations of 16 independent pumping tests and six flowthrough tests using these homogeneous and heterogeneous K fields and comparing them to actual data. Results show that the mean K and heterogeneous K fields estimated through kriging of small-scale K data (core and single-hole tests) yield biased predictions of drawdowns and flow rates in this synthetic heterogeneous aquifer. In contrast, the heterogeneous K distribution or ?K tomogram? estimated via steady state hydraulic tomography yields excellent predictions of drawdowns of pumping tests not used in the construction of the tomogram and very good estimates of total flow rates from the flowthrough tests. These results suggest that steady state groundwater model validation is possible in this laboratory sandbox aquifer if the heterogeneous K distribution and forcing functions (boundary conditions and source/sink terms) are characterized sufficiently. ?? 2010 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009WR007745","issn":"00431397","usgsCitation":"Illman, W., Zhu, J., Craig, A., and Yin, D., 2010, Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study: Water Resources Research, v. 46, no. 4, https://doi.org/10.1029/2009WR007745.","costCenters":[],"links":[{"id":475990,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr007745","text":"Publisher Index Page"},{"id":216852,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009WR007745"},{"id":244748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-03","publicationStatus":"PW","scienceBaseUri":"5059f850e4b0c8380cd4cffd","contributors":{"authors":[{"text":"Illman, W.A.","contributorId":53195,"corporation":false,"usgs":true,"family":"Illman","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":445258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, J.","contributorId":6289,"corporation":false,"usgs":true,"family":"Zhu","given":"J.","email":"","affiliations":[],"preferred":false,"id":445257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, A.J.","contributorId":56477,"corporation":false,"usgs":true,"family":"Craig","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":445259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yin, D.","contributorId":90137,"corporation":false,"usgs":true,"family":"Yin","given":"D.","email":"","affiliations":[],"preferred":false,"id":445260,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036544,"text":"70036544 - 2010 - Molecular investigations into a globally important carbon pool: Permafrost-protected carbon in Alaskan soils","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70036544","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Molecular investigations into a globally important carbon pool: Permafrost-protected carbon in Alaskan soils","docAbstract":"The fate of carbon (C) contained within permafrost in boreal forest environments is an important consideration for the current and future carbon cycle as soils warm in northern latitudes. Currently, little is known about the microbiology or chemistry of permafrost soils that may affect its decomposition once soils thaw. We tested the hypothesis that low microbial abundances and activities in permafrost soils limit decomposition rates compared with active layer soils. We examined active layer and permafrost soils near Fairbanks, AK, the Yukon River, and the Arctic Circle. Soils were incubated in the lab under aerobic and anaerobic conditions. Gas fluxes at -5 and 5 ??C were measured to calculate temperature response quotients (Q10). The Q10 was lower in permafrost soils (average 2.7) compared with active layer soils (average 7.5). Soil nutrients, leachable dissolved organic C (DOC) quality and quantity, and nuclear magnetic resonance spectroscopy of the soils revealed that the organic matter within permafrost soils is as labile, or even more so, than surface soils. Microbial abundances (fungi, bacteria, and subgroups: methanogens and Basidiomycetes) and exoenzyme activities involved in decomposition were lower in permafrost soils compared with active layer soils, which, together with the chemical data, supports the reduced Q10 values. CH4 fluxes were correlated with methanogen abundance and the highest CH4 production came from active layer soils. These results suggest that permafrost soils have high inherent decomposability, but low microbial abundances and activities reduce the temperature sensitivity of C fluxes. Despite these inherent limitations, however, respiration per unit soil C was higher in permafrost soils compared with active layer soils, suggesting that decomposition and heterotrophic respiration may contribute to a positive feedback to warming of this eco region. Published 2010. This article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2486.2009.02141.x","issn":"13541013","usgsCitation":"Waldrop, M., Wickland, K., White, R., Berhe, A., Harden, J., and Romanovsky, V., 2010, Molecular investigations into a globally important carbon pool: Permafrost-protected carbon in Alaskan soils: Global Change Biology, v. 16, no. 9, p. 2543-2554, https://doi.org/10.1111/j.1365-2486.2009.02141.x.","startPage":"2543","endPage":"2554","numberOfPages":"12","costCenters":[],"links":[{"id":217584,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2009.02141.x"},{"id":245537,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5d06e4b0c8380cd700f1","contributors":{"authors":[{"text":"Waldrop, M. P. 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":105104,"corporation":false,"usgs":true,"family":"Waldrop","given":"M. P.","affiliations":[],"preferred":false,"id":456654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wickland, K.P. 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":10786,"corporation":false,"usgs":true,"family":"Wickland","given":"K.P.","affiliations":[],"preferred":false,"id":456649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Rickie","contributorId":100921,"corporation":false,"usgs":true,"family":"White","given":"Rickie","affiliations":[],"preferred":false,"id":456653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berhe, A.A.","contributorId":23365,"corporation":false,"usgs":true,"family":"Berhe","given":"A.A.","affiliations":[],"preferred":false,"id":456650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":456651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romanovsky, V.E.","contributorId":54721,"corporation":false,"usgs":true,"family":"Romanovsky","given":"V.E.","email":"","affiliations":[],"preferred":false,"id":456652,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193759,"text":"70193759 - 2010 - Integrated use of surface geophysical methods for site characterization — A case study in North Kingstown, Rhode Island","interactions":[],"lastModifiedDate":"2019-10-21T13:02:22","indexId":"70193759","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated use of surface geophysical methods for site characterization — A case study in North Kingstown, Rhode Island","docAbstract":"<p><span>A suite of complementary, non‐invasive surface geophysical methods was used to assess their utility for site characterization in a pilot investigation at a former defense site in North Kingstown, Rhode Island. The methods included frequency‐domain electromagnetics (FDEM), ground‐penetrating radar (GPR), electrical resistivity tomography (ERT), and multi‐channel analysis of surface‐wave (MASW) seismic. The results of each method were compared to each other and to drive‐point data from the site. FDEM was used as a reconnaissance method to assess buried utilities and anthropogenic structures; to identify near‐surface changes in water chemistry related to conductive leachate from road‐salt storage; and to investigate a resistive signature possibly caused by groundwater discharge. Shallow anomalies observed in the GPR and ERT data were caused by near‐surface infrastructure and were consistent with anomalies observed in the FDEM data. Several parabolic reflectors were observed in the upper part of the GPR profiles, and a fairly continuous reflector that was interpreted as bedrock could be traced across the lower part of the profiles. MASW seismic data showed a sharp break in shear wave velocity at depth, which was interpreted as the overburden/bedrock interface. The MASW profile indicates the presence of a trough in the bedrock surface in the same location where the ERT data indicate lateral variations in resistivity. Depths to bedrock interpreted from the ERT, MASW, and GPR profiles were similar and consistent with the depths of refusal identified in the direct‐push wells. The interpretations of data collected using the individual methods yielded non‐unique solutions with considerable uncertainty. Integrated interpretation of the electrical, electromagnetic, and seismic geophysical profiles produced a more consistent and unique estimation of depth to bedrock that is consistent with ground‐truth data at the site. This test case shows that using complementary techniques that measure different properties can be more effective for site characterization than a single‐method investigation.</span><span></span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.3445441","usgsCitation":"Johnson, C.D., Lane, J.W., Brandon, W.C., Williams, C.A., and White, E.A., 2010, Integrated use of surface geophysical methods for site characterization — A case study in North Kingstown, Rhode Island, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010, p. 253-263, https://doi.org/10.4133/1.3445441.","productDescription":"11 p.","startPage":"253","endPage":"263","ipdsId":"IP-019287","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":350795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Rhode Island","city":"North Kingstown","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.58176422119139,\n              41.48697733905992\n            ],\n            [\n              -71.40666961669922,\n              41.48697733905992\n            ],\n            [\n              -71.40666961669922,\n              41.64136125487125\n            ],\n            [\n              -71.58176422119139,\n              41.64136125487125\n            ],\n            [\n              -71.58176422119139,\n              41.48697733905992\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2010-05-17","publicationStatus":"PW","scienceBaseUri":"5a719271e4b0a9a2e9dbde25","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":720275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandon, William C.","contributorId":199890,"corporation":false,"usgs":false,"family":"Brandon","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":720278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Christine A.P.","contributorId":199891,"corporation":false,"usgs":false,"family":"Williams","given":"Christine","email":"","middleInitial":"A.P.","affiliations":[],"preferred":false,"id":720279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":720276,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046634,"text":"ds587D - 2010 - National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 4, Southeast United States: IMPV01_4","interactions":[],"lastModifiedDate":"2013-06-17T15:53:12","indexId":"ds587D","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":"D","title":"National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 4, Southeast United States: IMPV01_4","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/ds587D","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 4, Southeast United States: IMPV01_4 (Version 1): U.S. Geological Survey Data Series 587, Dataset, https://doi.org/10.3133/ds587D.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273861,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/impv01_4.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.182478,22.983872 ], [ -98.182478,39.892971 ], [ -69.947056,39.892971 ], [ -69.947056,22.983872 ], [ -98.182478,22.983872 ] ] ] } } ] }","edition":"Version 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff3e4b0ee1529ed3d2c","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":479910,"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":479911,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":70033947,"text":"70033947 - 2010 - Exploring the limits of identifying sub-pixel thermal features using ASTER TIR data","interactions":[],"lastModifiedDate":"2019-02-18T12:29:56","indexId":"70033947","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the limits of identifying sub-pixel thermal features using ASTER TIR data","docAbstract":"<p><span>Understanding the characteristics of volcanic thermal emissions and how they change with time is important for forecasting and monitoring volcanic activity and potential hazards. Satellite instruments view volcanic thermal features across the globe at various temporal and spatial resolutions. Thermal features that may be a precursor to a major eruption, or indicative of important changes in an on-going eruption can be subtle, making them challenging to reliably identify with satellite instruments. The goal of this study was to explore the limits of the types and magnitudes of thermal anomalies that could be detected using satellite thermal infrared (TIR) data. Specifically, the characterization of sub-pixel thermal features with a wide range of temperatures is considered using ASTER multispectral TIR data. First, theoretical calculations were made to define a “thermal mixing detection threshold” for ASTER, which quantifies the limits of ASTER's ability to resolve sub-pixel thermal mixing over a range of hot target temperatures and % pixel areas. Then, ASTER TIR data were used to model sub-pixel thermal features at the Yellowstone National Park geothermal area (hot spring pools with temperatures from 40 to 90</span><span>&nbsp;</span><span>°C) and at Mount Erebus Volcano, Antarctica (an active lava lake with temperatures from 200 to 800</span><span>&nbsp;</span><span>°C). Finally, various sources of uncertainty in sub-pixel thermal calculations were quantified for these empirical measurements, including pixel resampling, atmospheric correction, and background temperature and emissivity assumptions.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2009.11.010","issn":"03770273","usgsCitation":"Vaughan, R., Keszthelyi, L., Davies, A., Schneider, D.J., Jaworowski, C., and Heasler, H., 2010, Exploring the limits of identifying sub-pixel thermal features using ASTER TIR data: Journal of Volcanology and Geothermal Research, v. 189, no. 3-4, p. 225-237, https://doi.org/10.1016/j.jvolgeores.2009.11.010.","productDescription":"13 p.","startPage":"225","endPage":"237","numberOfPages":"13","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":242274,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"189","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0e27e4b0c8380cd5330d","contributors":{"authors":[{"text":"Vaughan, R. Greg gvaughan@usgs.gov","contributorId":149412,"corporation":false,"usgs":true,"family":"Vaughan","given":"R. Greg","email":"gvaughan@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":443334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":443332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davies, Ashley G.","contributorId":36827,"corporation":false,"usgs":true,"family":"Davies","given":"Ashley G.","affiliations":[],"preferred":false,"id":443335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":633,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":443333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaworowski, Cheryl","contributorId":175486,"corporation":false,"usgs":false,"family":"Jaworowski","given":"Cheryl","email":"","affiliations":[{"id":27578,"text":"National Park Service (former)","active":true,"usgs":false}],"preferred":false,"id":443336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heasler, Henry","contributorId":62683,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","affiliations":[],"preferred":false,"id":443331,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034033,"text":"70034033 - 2010 - Landscape effects on diets of two canids in Northwestern Texas: A multinomial modeling approach","interactions":[],"lastModifiedDate":"2012-03-12T17:21:43","indexId":"70034033","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Landscape effects on diets of two canids in Northwestern Texas: A multinomial modeling approach","docAbstract":"Analyses of feces, stomach contents, and regurgitated pellets are common techniques for assessing diets of vertebrates and typically contain more than 1 food item per sampling unit. When analyzed, these individual food items have traditionally been treated as independent, which represents pseudoreplication. When food types are recorded as present or absent, these samples can be treated as multinomial vectors of food items, with each vector representing 1 realization of a possible diet. We suggest such data have a similar structure to capture histories for closed-capture, capturemarkrecapture data. To assess the effects of landscapes and presence of a potential competitor, we used closed-capture models implemented in program MARK into analyze diet data generated from feces of swift foxes (Vulpes velox) and coyotes (Canis latrans) in northwestern Texas. The best models of diet contained season and location for both swift foxes and coyotes, but year accounted for less variation, suggesting that landscape type is an important predictor of diets of both species. Models containing the effect of coyote reduction were not competitive (??QAICc 53.6685), consistent with the hypothesis that presence of coyotes did not influence diet of swift foxes. Our findings suggest that landscape type may have important influences on diets of both species. We believe that multinomial models represent an effective approach to assess hypotheses when diet studies have a data structure similar to ours. ?? 2010 American Society of Mammalogists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1644/07-MAMM-A-291R1.1","issn":"00222372","usgsCitation":"Lemons, P., Sedinger, J., Herzog, M., Gipson, P.S., and Gilliland, R., 2010, Landscape effects on diets of two canids in Northwestern Texas: A multinomial modeling approach: Journal of Mammalogy, v. 91, no. 1, p. 66-78, https://doi.org/10.1644/07-MAMM-A-291R1.1.","startPage":"66","endPage":"78","numberOfPages":"13","costCenters":[],"links":[{"id":475811,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/07-mamm-a-291r1.1","text":"Publisher Index Page"},{"id":244733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216837,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/07-MAMM-A-291R1.1"}],"volume":"91","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-02-17","publicationStatus":"PW","scienceBaseUri":"505a440ee4b0c8380cd667fa","contributors":{"authors":[{"text":"Lemons, P.R.","contributorId":22296,"corporation":false,"usgs":true,"family":"Lemons","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":443752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sedinger, J.S.","contributorId":75471,"corporation":false,"usgs":true,"family":"Sedinger","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":443755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, M.P.","contributorId":37865,"corporation":false,"usgs":true,"family":"Herzog","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":443753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gipson, P. S.","contributorId":70136,"corporation":false,"usgs":false,"family":"Gipson","given":"P.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":443754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilliland, R.L.","contributorId":104308,"corporation":false,"usgs":true,"family":"Gilliland","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":443756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034036,"text":"70034036 - 2010 - Milankovitch-scale correlations between deeply buried microbial populations and biogenic ooze lithology","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70034036","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Milankovitch-scale correlations between deeply buried microbial populations and biogenic ooze lithology","docAbstract":"The recent discoveries of large, active populations of microbes in the subseafloor of the world's oceans supports the impact of the deep biosphere biota on global biogeochemical cycles and raises important questions concerning the functioning of these extreme environments for life. These investigations demonstrated that subseafloor microbes are unevenly distributed and that cell abundances and metabolic activities are often independent from sediment depths, with increased prokaryotic activity at geochemical and/or sedimentary interfaces. In this study we demonstrate that microbial populations vary at the scale of individual beds in the biogenic oozes of a drill site in the eastern equatorial Pacific (Ocean Drilling Program Leg 201, Site 1226). We relate bedding-scale changes in biogenic ooze sediment composition to organic carbon (OC) and microbial cell concentrations using high-resolution color reflectance data as proxy for lithology. Our analyses demonstrate that microbial concentrations are an order of magnitude higher in the more organic-rich diatom oozes than in the nannofossil oozes. The variations mimic small-scale variations in diatom abundance and OC, indicating that the modern distribution of microbial biomass is ultimately controlled by Milankovitch-frequency variations in past oceanographic conditions. ?? 2010 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G30207.1","issn":"00917613","usgsCitation":"Aiello, I., and Bekins, B., 2010, Milankovitch-scale correlations between deeply buried microbial populations and biogenic ooze lithology: Geology, v. 38, no. 1, p. 79-82, https://doi.org/10.1130/G30207.1.","startPage":"79","endPage":"82","numberOfPages":"4","costCenters":[],"links":[{"id":216866,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30207.1"},{"id":244764,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a572ce4b0c8380cd6dadd","contributors":{"authors":[{"text":"Aiello, I.W.","contributorId":39993,"corporation":false,"usgs":true,"family":"Aiello","given":"I.W.","email":"","affiliations":[],"preferred":false,"id":443762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, B.A.","contributorId":98309,"corporation":false,"usgs":true,"family":"Bekins","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":443763,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176785,"text":"70176785 - 2010 - Climatic water deficit, tree species ranges, and climate change in Yosemite National Park","interactions":[],"lastModifiedDate":"2017-04-27T10:33:30","indexId":"70176785","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Climatic water deficit, tree species ranges, and climate change in Yosemite National Park","docAbstract":"<p><strong>Aim </strong> (1) To calculate annual potential evapotranspiration (PET), actual evapotranspiration (AET) and climatic water deficit (Deficit) with high spatial resolution; (2) to describe distributions for 17 tree species over a 2300-m elevation gradient in a 3000-km<sup>2</sup> landscape relative to AET and Deficit; (3) to examine changes in AET and Deficit between past (<i>c.</i> 1700), present (1971–2000) and future (2020–49) climatological means derived from proxies, observations and projections; and (4) to infer how the magnitude of changing Deficit may contribute to changes in forest structure and composition.</p><p><strong>Location </strong> Yosemite National Park, California, USA.</p><p><strong>Methods </strong> We calculated the water balance within Yosemite National Park using a modified Thornthwaite-type method and correlated AET and Deficit with tree species distribution. We used input data sets with different spatial resolutions parameterized for variation in latitude, precipitation, temperature, soil water-holding capacity, slope and aspect. We used climate proxies and climate projections to model AET and Deficit for past and future climate. We compared the modelled future water balance in Yosemite with current species water-balance ranges in North America.</p><p><strong>Results </strong> We calculated species climatic envelopes over broad ranges of environmental gradients – a range of 310&nbsp;mm for soil water-holding capacity, 48.3°C for mean monthly temperature (January minima to July maxima), and 918&nbsp;mm&nbsp;yr<sup>−1</sup> for annual precipitation. Tree species means were differentiated by AET and Deficit, and at higher levels of Deficit, species means were increasingly differentiated. Modelled Deficit for all species increased by a mean of 5% between past (<i>c.</i> 1700) and present (1971–2000). Projected increases in Deficit between present and future (2020–49) were 23% across all plots.</p><p><strong>Main conclusions </strong> Modelled changes in Deficit between past, present and future climate scenarios suggest that recent past changes in forest structure and composition may accelerate in the future, with species responding individualistically to further declines in water availability. Declining water availability may disproportionately affect <i>Pinus monticola</i> and <i>Tsuga mertensiana</i>. Fine-scale heterogeneity in soil water-holding capacity, aspect and slope implies that plant water balance may vary considerably within the grid cells of kilometre-scale climate models. Sub-grid-cell soil and topographical data can partially compensate for the lack of spatial heterogeneity in gridded climate data, potentially improving vegetation-change projections in mountainous landscapes with heterogeneous topography.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2699.2009.02268.x","usgsCitation":"Lutz, J.A., Van Wagtendonk, J.W., and Franklin, J., 2010, Climatic water deficit, tree species ranges, and climate change in Yosemite National Park: Journal of Biogeography, v. 37, no. 5, p. 936-350, https://doi.org/10.1111/j.1365-2699.2009.02268.x.","productDescription":"15 p.","startPage":"936","endPage":"350","ipdsId":"IP-009660","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":329346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-04-19","publicationStatus":"PW","scienceBaseUri":"57fe8151e4b0824b2d1480ba","contributors":{"authors":[{"text":"Lutz, James A.","contributorId":61350,"corporation":false,"usgs":true,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":650289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franklin, Jerry F.","contributorId":101939,"corporation":false,"usgs":true,"family":"Franklin","given":"Jerry F.","affiliations":[],"preferred":false,"id":650290,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034057,"text":"70034057 - 2010 - Response of benthic macroinvertebrate communities to highway construction in an Appalachian watershed","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034057","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Response of benthic macroinvertebrate communities to highway construction in an Appalachian watershed","docAbstract":"Highway construction in mountainous areas can result in sedimentation of streams, negatively impacting stream habitat, water quality, and biotic communities. We assessed the impacts of construction of a segment of Corridor H, a four-lane highway, in the Lost River watershed, West Virginia, by monitoring benthic macroinvertebrate communities and water quality, before, during, and after highway construction and prior to highway use at upstream and downstream sites from 1997 through 2007. Data analysis of temporal impacts of highway construction followed a Before-After-Control-Impact (BACI) study design. Highway construction impacts included an increase in stream sedimentation during the construction phase. This was indicated by an increase in turbidity and total suspended solids. Benthic macroinvertebrate metrics indicated a community more tolerant during and after construction than in the period before construction. The percent of Chironomidae and the Hilsenhoff Biotic Index (HBI) increased, while percent of Ephemeroptera, Plecoptera, and Trichoptera (EPT) decreased. Our 10-year study addressed short-term impacts of highway construction and found that impacts were relatively minimal. A recovery of the number of EPT taxa collected after construction indicated that the benthic macroinvertebrate community may be recovering from impacts of highway construction. However, this study only addressed a period of 3 years before, 3 years during, and 4 years post construction. Inferences cannot be made concerning the long-term impacts of the highway, highway traffic, runoff, and other factors associated with highway use. Continual monitoring of the watershed is necessary to determine if the highway has a continual impact on stream habitat, water quality, and biotic integrity. ?? 2010 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-009-0070-9","issn":"00188158","usgsCitation":"Hedrick, L.B., Welsh, S., Anderson, J.T., Lin, L., Chen, Y., and Wei, X., 2010, Response of benthic macroinvertebrate communities to highway construction in an Appalachian watershed: Hydrobiologia, v. 641, no. 1, p. 115-131, https://doi.org/10.1007/s10750-009-0070-9.","startPage":"115","endPage":"131","numberOfPages":"17","costCenters":[],"links":[{"id":216687,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-009-0070-9"},{"id":244572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"641","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-12","publicationStatus":"PW","scienceBaseUri":"505aaa35e4b0c8380cd861e4","contributors":{"authors":[{"text":"Hedrick, Lara B.","contributorId":50346,"corporation":false,"usgs":true,"family":"Hedrick","given":"Lara","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":443852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, S.A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":10191,"corporation":false,"usgs":true,"family":"Welsh","given":"S.A.","affiliations":[],"preferred":false,"id":443850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":443851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lin, L.-S.","contributorId":66093,"corporation":false,"usgs":true,"family":"Lin","given":"L.-S.","email":"","affiliations":[],"preferred":false,"id":443854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Y.","contributorId":7019,"corporation":false,"usgs":true,"family":"Chen","given":"Y.","email":"","affiliations":[],"preferred":false,"id":443849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":443853,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034319,"text":"70034319 - 2010 - Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034319","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters","docAbstract":"Because unionid mussels have a parasitic larval stage, they are able to disperse upstream and downstream as larvae while attached to their host fish and with flow as juveniles after excystment from the host. Understanding unionid population ecology requires knowledge of the processes that affect juvenile dispersal prior to establishment. We examined presettlement (transport and dispersion with flow) and early postsettlement (bed shear stress) hydraulic processes as negative censoring mechanisms. Our approach was to model dispersal using particle tracking through a 3-dimensional flow field output from hydrodynamic models of a reach of the Upper Mississippi River. We tested the potential effects of bed shear stress (??b) at 5 flow rates on juvenile mussel dispersal and quantified the magnitude of these effects as a function of flow rate. We explored the reach-scale relationships of Froude number (Fr), water depth (H), local bed slope (S), and unit stream power (QS) with the likelihood of juvenile settling (??). We ran multiple dispersal simulations at each flow rate to estimate ??, the parameter of a Poisson distribution, from the number of juveniles settling in each grid cell, and calculated dispersal distances. Virtual juveniles that settled in areas of the river where b &gt; critical shear stress (c) were resuspended in the flow and transported further downstream, so we ran simulations at 3 different conditions for ??c (??c = ??? no resuspension, 0.1, and 0.05 N/m2). Differences in virtual juvenile dispersal distance were significantly dependent upon c and flow rate, and effects of b on settling distribution were dependent upon c. Most simulations resulted in positive correlations between ?? and ??b, results suggesting that during early postsettlement, ??b might be the primary determinant of juvenile settling distribution. Negative correlations between ?? and ??b occurred in some simulations, a result suggesting that physical or biological presettlement processes might determine juvenile settling distributions. Field data are needed to test these hypotheses. Results support the idea that flow patterns and b can act as negative censoring mechanisms controlling settling distributions. Furthermore, a river reach probably has a quantifiable threshold range of flow rates. Above the upper threshold, ??b probably is the primary determinant of juvenile settling distribution. Relationships of ?? with H, Fr, S, and QS were relatively weak. Important physical processes that affect dispersal probably are not captured by approximations based on large-scale hydraulic parameters, such as Fr and H. ?? 2010 The North American Benthological Society.","largerWorkTitle":"Journal of the North American Benthological Society","language":"English","doi":"10.1899/09-118.1","issn":"08873593","usgsCitation":"Daraio, J., Weber, L., and Newton, T., 2010, Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters, <i>in</i> Journal of the North American Benthological Society, v. 29, no. 3, p. 838-851, https://doi.org/10.1899/09-118.1.","startPage":"838","endPage":"851","numberOfPages":"14","costCenters":[],"links":[{"id":244589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216703,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/09-118.1"}],"volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a333de4b0c8380cd5ee52","contributors":{"authors":[{"text":"Daraio, J.A.","contributorId":51577,"corporation":false,"usgs":true,"family":"Daraio","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":445223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weber, L.J.","contributorId":79988,"corporation":false,"usgs":true,"family":"Weber","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":445224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":445225,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034370,"text":"70034370 - 2010 - Calibration and use of continuous heat-type automated seepage meters for submarine groundwater discharge measurements","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034370","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Calibration and use of continuous heat-type automated seepage meters for submarine groundwater discharge measurements","docAbstract":"Submarine groundwater discharge (SGD) assessments were conducted both in the laboratory and at a field site in the northeastern Gulf of Mexico, using a continuous heat-type automated seepage meter (seepmeter). The functioning of the seepmeter is based on measurements of a temperature gradient in the water between downstream and upstream positions in its flow pipe. The device has the potential of providing long-term, high-resolution measurements of SGD. Using a simple inexpensive laboratory set-up, we have shown that connecting an extension cable to the seepmeter has a negligible effect on its measuring capability. Similarly, the observed influence of very low temperature (???3 ??C) on seepmeter measurements can be accounted for by conducting calibrations at such temperatures prior to field deployments. Compared to manual volumetric measurements, calibration experiments showed that at higher water flow rates (&gt;28 cm day<sup>-1</sup> or cm<sup>3</sup> cm<sup>-2</sup> day<sup>-1</sup>) an analog flowmeter overestimated flow rates by ???7%. This was apparently due to flow resistance, turbulence and formation of air bubbles in the seepmeter water flow tubes. Salinity had no significant effect on the performance of the seepmeter. Calibration results from fresh water and sea water showed close agreement at a 95% confidence level significance between the data sets from the two media (R<sup>2</sup> = 0.98). Comparatively, the seepmeter SGD measurements provided data that are comparable to manually-operated seepage meters, the radon geochemical tracer approach, and an electromagnetic (EM) seepage meter. ?? 2009 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuarine, Coastal and Shelf Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecss.2009.12.001","issn":"02727714","usgsCitation":"Mwashote, B., Burnett, W.C., Chanton, J., Santos, I., Dimova, N., and Swarzenski, P., 2010, Calibration and use of continuous heat-type automated seepage meters for submarine groundwater discharge measurements: Estuarine, Coastal and Shelf Science, v. 87, no. 1, p. 1-10, https://doi.org/10.1016/j.ecss.2009.12.001.","startPage":"1","endPage":"10","numberOfPages":"10","costCenters":[],"links":[{"id":216559,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2009.12.001"},{"id":244437,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f30fe4b0c8380cd4b59a","contributors":{"authors":[{"text":"Mwashote, B.M.","contributorId":27709,"corporation":false,"usgs":true,"family":"Mwashote","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":445463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burnett, W. C.","contributorId":39779,"corporation":false,"usgs":false,"family":"Burnett","given":"W.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":445465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chanton, J.","contributorId":10641,"corporation":false,"usgs":true,"family":"Chanton","given":"J.","affiliations":[],"preferred":false,"id":445462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Santos, I.R.","contributorId":94499,"corporation":false,"usgs":true,"family":"Santos","given":"I.R.","email":"","affiliations":[],"preferred":false,"id":445467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dimova, N.","contributorId":66051,"corporation":false,"usgs":true,"family":"Dimova","given":"N.","affiliations":[],"preferred":false,"id":445466,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swarzenski, P.W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":29487,"corporation":false,"usgs":true,"family":"Swarzenski","given":"P.W.","affiliations":[],"preferred":false,"id":445464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034061,"text":"70034061 - 2010 - Propagule pressure and stream characteristics influence introgression: Cutthroat and rainbow trout in British Columbia","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034061","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":"Propagule pressure and stream characteristics influence introgression: Cutthroat and rainbow trout in British Columbia","docAbstract":"Hybridization and introgression between introduced and native salmonids threaten the continued persistence of many inland cutthroat trout species. Environmental models have been developed to predict the spread of introgression, but few studies have assessed the role of propagule pressure. We used an extensive set of fish stocking records and geographic information system (GIS) data to produce a spatially explicit index of potential propagule pressure exerted by introduced rainbow trout in the Upper Kootenay River, British Columbia, Canada. We then used logistic regression and the information-theoretic approach to test the ability of a set of environmental and spatial variables to predict the level of introgression between native westslope cutthroat trout and introduced rainbow trout. Introgression was assessed using between four and seven co-dominant, diagnostic nuclear markers at 45 sites in 31 different streams. The best model for predicting introgression included our GIS propagule pressure index and an environmental variable that accounted for the biogeoclimatic zone of the site (r<sup>2</sup> = 0.62). This model was 1.4 times more likely to explain introgression than the next-best model, which consisted of only the propagule pressure index variable. We created a composite model based on the model-averaged results of the seven top models that included environmental, spatial, and propagule pressure variables. The propagule pressure index had the highest importance weight (0.995) of all variables tested and was negatively related to sites with no introgression. This study used an index of propagule pressure and demonstrated that propagule pressure had the greatest influence on the level of introgression between a native and introduced trout in a human-induced hybrid zone. ?? 2010 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-0441.1","issn":"10510761","usgsCitation":"Bennett, S., Olson, J., Kershner, J.L., and Corbett, P., 2010, Propagule pressure and stream characteristics influence introgression: Cutthroat and rainbow trout in British Columbia: Ecological Applications, v. 20, no. 1, p. 263-277, https://doi.org/10.1890/08-0441.1.","startPage":"263","endPage":"277","numberOfPages":"15","costCenters":[],"links":[{"id":216752,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-0441.1"},{"id":244638,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f14e4b0c8380cd7f588","contributors":{"authors":[{"text":"Bennett, S.N.","contributorId":87784,"corporation":false,"usgs":true,"family":"Bennett","given":"S.N.","email":"","affiliations":[],"preferred":false,"id":443870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, J.R.","contributorId":98976,"corporation":false,"usgs":true,"family":"Olson","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":443871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kershner, J. L.","contributorId":100322,"corporation":false,"usgs":true,"family":"Kershner","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":443872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corbett, P.","contributorId":54434,"corporation":false,"usgs":true,"family":"Corbett","given":"P.","email":"","affiliations":[],"preferred":false,"id":443869,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033825,"text":"70033825 - 2010 - Night sampling improves indices used for management of yellow perch in Lake Erie","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033825","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Night sampling improves indices used for management of yellow perch in Lake Erie","docAbstract":"Catch rate (catch per hour) was examined for age-0 and age-1 yellow perch, Perca flavescens (Mitchill), captured in bottom trawls from 1991 to 2005 in western Lake Erie: (1) to examine variation of catch rate among years, seasons, diel periods and their interactions; and (2) to determine whether sampling during particular diel periods improved the management value of CPH data used in models to project abundance of age-2 yellow perch. Catch rate varied with year, season and the diel period during which sampling was conducted as well as by the interaction between year and season. Indices of abundance of age-0 and age-1 yellow perch estimated from night samples typically produced better fitting models and lower estimates of age-2 abundance than those using morning or afternoon samples, whereas indices using afternoon samples typically produced less precise and higher estimates of abundance. The diel period during which sampling is conducted will not affect observed population trends but may affect estimates of abundance of age-0 and age-1 yellow perch, which in turn affect recommended allowable harvest. A field experiment throughout western Lake Erie is recommended to examine potential benefits of night sampling to management of yellow perch. Published 2010. The article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Management and Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2400.2009.00721.x","issn":"0969997X","usgsCitation":"Kocovsky, P., Stapanian, M., and Knight, C., 2010, Night sampling improves indices used for management of yellow perch in Lake Erie: Fisheries Management and Ecology, v. 17, no. 1, p. 10-18, https://doi.org/10.1111/j.1365-2400.2009.00721.x.","startPage":"10","endPage":"18","numberOfPages":"9","costCenters":[],"links":[{"id":214209,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2400.2009.00721.x"},{"id":241908,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-08","publicationStatus":"PW","scienceBaseUri":"505a6654e4b0c8380cd72d77","contributors":{"authors":[{"text":"Kocovsky, P.M.","contributorId":78447,"corporation":false,"usgs":true,"family":"Kocovsky","given":"P.M.","affiliations":[],"preferred":false,"id":442716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":442714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, C.T.","contributorId":66042,"corporation":false,"usgs":true,"family":"Knight","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":442715,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033799,"text":"70033799 - 2010 - A California statewide three-dimensional seismic velocity model from both absolute and differential times","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033799","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":"A California statewide three-dimensional seismic velocity model from both absolute and differential times","docAbstract":"We obtain a seismic velocity model of the California crust and uppermost mantle using a regional-scale double-difference tomography algorithm. We begin by using absolute arrival-time picks to solve for a coarse three-dimensional (3D) P velocity (V<sub>P</sub>) model with a uniform 30 km horizontal node spacing, which we then use as the starting model for a finer-scale inversion using double-difference tomography applied to absolute and differential pick times. For computational reasons, we split the state into 5 subregions with a grid spacing of 10 to 20 km and assemble our final statewide V<sub>P</sub> model by stitching together these local models. We also solve for a statewide S-wave model using S picks from both the Southern California Seismic Network and USArray, assuming a starting model based on the V<sub>P</sub> results and a V<sub>P</sub>=V<sub>S</sub> ratio of 1.732. Our new model has improved areal coverage compared with previous models, extending 570 km in the SW-NE directionand 1320 km in the NW-SE direction. It also extends to greater depth due to the inclusion of substantial data at large epicentral distances. Our V<sub>P</sub> model generally agrees with previous separate regional models for northern and southern California, but we also observe some new features, such as high-velocity anomalies at shallow depths in the Klamath Mountains and Mount Shasta area, somewhat slow velocities in the northern Coast Ranges, and slow anomalies beneath the Sierra Nevada at midcrustal and greater depths. This model can be applied to a variety of regional-scale studies in California, such as developing a unified statewide earthquake location catalog and performing regional waveform modeling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090028","issn":"00371106","usgsCitation":"Lin, G., Thurber, C., Zhang, H., Hauksson, E., Shearer, P., Waldhauser, F., Brocher, T., and Hardebeck, J., 2010, A California statewide three-dimensional seismic velocity model from both absolute and differential times: Bulletin of the Seismological Society of America, v. 100, no. 1, p. 225-240, https://doi.org/10.1785/0120090028.","startPage":"225","endPage":"240","numberOfPages":"16","costCenters":[],"links":[{"id":476100,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20100303-135921624","text":"External Repository"},{"id":214261,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090028"},{"id":241966,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-27","publicationStatus":"PW","scienceBaseUri":"5059e2cbe4b0c8380cd45c61","contributors":{"authors":[{"text":"Lin, G.","contributorId":108325,"corporation":false,"usgs":true,"family":"Lin","given":"G.","email":"","affiliations":[],"preferred":false,"id":442528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, C.H.","contributorId":28617,"corporation":false,"usgs":true,"family":"Thurber","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":442522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, H.","contributorId":50311,"corporation":false,"usgs":true,"family":"Zhang","given":"H.","affiliations":[],"preferred":false,"id":442524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hauksson, E.","contributorId":10932,"corporation":false,"usgs":true,"family":"Hauksson","given":"E.","affiliations":[],"preferred":false,"id":442521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shearer, P.M.","contributorId":80456,"corporation":false,"usgs":true,"family":"Shearer","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":442526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waldhauser, F.","contributorId":31897,"corporation":false,"usgs":true,"family":"Waldhauser","given":"F.","affiliations":[],"preferred":false,"id":442523,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brocher, T.M. 0000-0002-9740-839X","orcid":"https://orcid.org/0000-0002-9740-839X","contributorId":69994,"corporation":false,"usgs":true,"family":"Brocher","given":"T.M.","affiliations":[],"preferred":false,"id":442525,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hardebeck, J.","contributorId":99738,"corporation":false,"usgs":true,"family":"Hardebeck","given":"J.","email":"","affiliations":[],"preferred":false,"id":442527,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70033802,"text":"70033802 - 2010 - On the application of multilevel modeling in environmental and ecological studies","interactions":[],"lastModifiedDate":"2017-11-21T14:43:12","indexId":"70033802","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"On the application of multilevel modeling in environmental and ecological studies","docAbstract":"<p><span>This paper illustrates the advantages of a multilevel/hierarchical approach for predictive modeling, including flexibility of model formulation, explicitly accounting for hierarchical structure in the data, and the ability to predict the outcome of new cases. As a generalization of the classical approach, the multilevel modeling approach explicitly models the hierarchical structure in the data by considering both the within- and between-group variances leading to a partial pooling of data across all levels in the hierarchy. The modeling framework provides means for incorporating variables at different spatiotemporal scales. The examples used in this paper illustrate the iterative process of model fitting and evaluation, a process that can lead to improved understanding of the system being studied.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1043.1","issn":"00129658","usgsCitation":"Qian, S.S., Cuffney, T.F., Alameddine, I., McMahon, G., and Reckhow, K.H., 2010, On the application of multilevel modeling in environmental and ecological studies: Ecology, v. 91, no. 2, p. 355-361, https://doi.org/10.1890/09-1043.1.","productDescription":"7 p.","startPage":"355","endPage":"361","numberOfPages":"7","ipdsId":"IP-011765","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":476105,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/09-1043.1","text":"Publisher Index Page"},{"id":242001,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214293,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-1043.1"}],"volume":"91","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6db6e4b0c8380cd752a9","contributors":{"authors":[{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":442565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alameddine, Ibrahim","contributorId":22459,"corporation":false,"usgs":true,"family":"Alameddine","given":"Ibrahim","email":"","affiliations":[],"preferred":false,"id":442563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMahon, Gerard 0000-0001-7675-777X gmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-777X","contributorId":191488,"corporation":false,"usgs":true,"family":"McMahon","given":"Gerard","email":"gmcmahon@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":442564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reckhow, Kenneth H.","contributorId":141208,"corporation":false,"usgs":false,"family":"Reckhow","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":442562,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033915,"text":"70033915 - 2010 - Model selection bias and Freedman's paradox","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70033915","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":799,"text":"Annals of the Institute of Statistical Mathematics","active":true,"publicationSubtype":{"id":10}},"title":"Model selection bias and Freedman's paradox","docAbstract":"In situations where limited knowledge of a system exists and the ratio of data points to variables is small, variable selection methods can often be misleading. Freedman (Am Stat 37:152-155, 1983) demonstrated how common it is to select completely unrelated variables as highly \"significant\" when the number of data points is similar in magnitude to the number of variables. A new type of model averaging estimator based on model selection with Akaike's AIC is used with linear regression to investigate the problems of likely inclusion of spurious effects and model selection bias, the bias introduced while using the data to select a single seemingly \"best\" model from a (often large) set of models employing many predictor variables. The new model averaging estimator helps reduce these problems and provides confidence interval coverage at the nominal level while traditional stepwise selection has poor inferential properties. ?? The Institute of Statistical Mathematics, Tokyo 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of the Institute of Statistical Mathematics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10463-009-0234-4","issn":"00203157","usgsCitation":"Lukacs, P., Burnham, K., and Anderson, D., 2010, Model selection bias and Freedman's paradox: Annals of the Institute of Statistical Mathematics, v. 62, no. 1, p. 117-125, https://doi.org/10.1007/s10463-009-0234-4.","startPage":"117","endPage":"125","numberOfPages":"9","costCenters":[],"links":[{"id":214572,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10463-009-0234-4"},{"id":242307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-05-26","publicationStatus":"PW","scienceBaseUri":"505a5bb3e4b0c8380cd6f745","contributors":{"authors":[{"text":"Lukacs, P.M.","contributorId":84708,"corporation":false,"usgs":true,"family":"Lukacs","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":443158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burnham, K.P.","contributorId":63760,"corporation":false,"usgs":true,"family":"Burnham","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":443157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, David R.","contributorId":8413,"corporation":false,"usgs":true,"family":"Anderson","given":"David R.","affiliations":[],"preferred":false,"id":443156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186757,"text":"70186757 - 2010 - Aminostratigraphy of surface and subsurface Quaternary sediments, North Carolina coastal plain, USA","interactions":[],"lastModifiedDate":"2017-10-05T19:05:08","indexId":"70186757","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3216,"text":"Quaternary Geochronology","active":true,"publicationSubtype":{"id":10}},"title":"Aminostratigraphy of surface and subsurface Quaternary sediments, North Carolina coastal plain, USA","docAbstract":"<p><span>The Quaternary stratigraphy and geochronology of the Albemarle Embayment of the North Carolina (NC) Coastal Plain is examined using amino acid racemization (AAR) in marine mollusks, in combination with geophysical, lithologic, and biostratigraphic analysis of 28 rotasonic cores drilled between 2002 and 2006. The Albemarle Embayment is bounded by structural highs to the north and south, and Quaternary strata thin westward toward the Suffolk paleoshoreline, frequently referred to as the Suffolk Scarp. The Quaternary section is up to ∼90&nbsp;m thick, consists of a variety of estuarine, shelf, back-barrier, and lagoonal deposits, and has been influenced by multiple sea-level cycles. The temporal resolution of the amino acid racemization method is tested statistically and with the stratigraphic control provided by this geologic framework, and it is then applied to the correlation and age estimation of subsurface units throughout the region. Over 500 specimens (primarily </span><i>Mercenaria</i><span> and </span><i>Mulinia</i><span>) from the subsurface section have been analyzed using either gas chromatographic (GC) or reverse-phase liquid chromatographic (RPLC) techniques. The subsurface stratigraphic data are compared with AAR results from numerous natural or excavated exposures from the surrounding region, as well as results from NC beach collections, to develop a comprehensive aminostratigraphic database for the entire Quaternary record within the NC coastal system. Age mixing, recognized in the beach collections, is also seen in subsurface sections, usually where major seismic reflections or core lithology indicate the presence of stratigraphic discontinuities. Kinetic models for racemization are tested within the regional stratigraphic framework, using either radiocarbon or U-series calibrations or comparison with regional biostratigraphy. Three major Pleistocene aminozones [AZ2, AZ3, and AZ4] are found throughout the region, all being found in superposition in several cores. Each can be subdivided, yielding a total of at least eight stratigraphically and statistically distinct aminozones. Kinetic modeling, supplemented with local calibration, indicates that these aminozones represent depositional events ranging from ∼80&nbsp;ka to nearly 2&nbsp;Ma. Three prominent seismic reflections are interpreted to represent the base of the early, middle, and late Pleistocene, respectively, roughly 2&nbsp;Ma, 800&nbsp;ka, and 130&nbsp;ka. The large number of samples and the available stratigraphic control provide new insights into the capabilities and limitations of aminostratigraphic methods in assessing relative and numerical ages of Atlantic Coastal Plain Quaternary deposits.</span></p>","language":"English","publisher":"Elesevier","doi":"10.1016/j.quageo.2009.10.005","usgsCitation":"Wehmiller, J.F., Thieler, E.R., Miller, D., Pellerito, V., Bakeman, K.V., Riggs, S., Culver, S., Mallinson, D., Farrell, K., York, L., Pierson, J., and Parham, P., 2010, Aminostratigraphy of surface and subsurface Quaternary sediments, North Carolina coastal plain, USA: Quaternary Geochronology, v. 4, no. 5, p. 459-492, https://doi.org/10.1016/j.quageo.2009.10.005.","productDescription":"34 p.","startPage":"459","endPage":"492","ipdsId":"IP-009171","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":339515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.25561523437499,\n              34.52466147177172\n            ],\n            [\n              -75.08056640625,\n              34.52466147177172\n            ],\n            [\n              -75.08056640625,\n              37.29153547292737\n            ],\n            [\n              -78.25561523437499,\n              37.29153547292737\n            ],\n            [\n              -78.25561523437499,\n              34.52466147177172\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ec99dae4b0b4d95d33525d","contributors":{"authors":[{"text":"Wehmiller, John F.","contributorId":42220,"corporation":false,"usgs":true,"family":"Wehmiller","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":690479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Dick","contributorId":46054,"corporation":false,"usgs":true,"family":"Miller","given":"Dick","affiliations":[],"preferred":false,"id":690521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellerito, V.","contributorId":11858,"corporation":false,"usgs":true,"family":"Pellerito","given":"V.","email":"","affiliations":[],"preferred":false,"id":690522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bakeman, Keeney V.","contributorId":13840,"corporation":false,"usgs":true,"family":"Bakeman","given":"Keeney","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":690523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riggs, S.R.","contributorId":29807,"corporation":false,"usgs":true,"family":"Riggs","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":690524,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Culver, S.","contributorId":30450,"corporation":false,"usgs":true,"family":"Culver","given":"S.","email":"","affiliations":[],"preferred":false,"id":690525,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mallinson, D.","contributorId":93686,"corporation":false,"usgs":true,"family":"Mallinson","given":"D.","affiliations":[],"preferred":false,"id":690526,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Farrell, K.M.","contributorId":106573,"corporation":false,"usgs":true,"family":"Farrell","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":690527,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"York, L.L.","contributorId":58401,"corporation":false,"usgs":true,"family":"York","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":690528,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pierson, J.","contributorId":7536,"corporation":false,"usgs":true,"family":"Pierson","given":"J.","affiliations":[],"preferred":false,"id":690529,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Parham, P.R.","contributorId":37180,"corporation":false,"usgs":true,"family":"Parham","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":690530,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70037446,"text":"70037446 - 2010 - Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research","interactions":[],"lastModifiedDate":"2017-04-05T16:42:19","indexId":"70037446","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2282,"text":"Journal of Exposure Science and Environmental Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research","docAbstract":"<p><span>In recent years, geographic information systems (GIS) have increasingly been used for reconstructing individual-level exposures to environmental contaminants in epidemiological research. Remotely sensed data can be useful in creating space-time models of environmental measures. The primary advantage of using remotely sensed data is that it allows for study at the local scale (e.g., residential level) without requiring expensive, time-consuming monitoring campaigns. The purpose of our study was to identify how land surface remotely sensed data are currently being used to study the relationship between cancer and environmental contaminants, focusing primarily on agricultural chemical exposure assessment applications. We present the results of a comprehensive literature review of epidemiological research where remotely sensed imagery or land cover maps derived from remotely sensed imagery were applied. We also discuss the strengths and limitations of the most commonly used imagery data (aerial photographs and Landsat satellite imagery) and land cover maps.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/jes.2009.7","issn":"15590631","usgsCitation":"Maxwell, S., Meliker, J., and Goovaerts, P., 2010, Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research: Journal of Exposure Science and Environmental Epidemiology, v. 20, no. 2, p. 176-185, https://doi.org/10.1038/jes.2009.7.","productDescription":"10 p.","startPage":"176","endPage":"185","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475977,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/jes.2009.7","text":"External Repository"},{"id":245328,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217383,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/jes.2009.7"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-02-25","publicationStatus":"PW","scienceBaseUri":"505bbf35e4b08c986b329a0a","contributors":{"authors":[{"text":"Maxwell, S.K.","contributorId":36665,"corporation":false,"usgs":true,"family":"Maxwell","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":461097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meliker, J.R.","contributorId":56456,"corporation":false,"usgs":true,"family":"Meliker","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":461098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goovaerts, P.","contributorId":76973,"corporation":false,"usgs":true,"family":"Goovaerts","given":"P.","email":"","affiliations":[],"preferred":false,"id":461099,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194398,"text":"70194398 - 2010 - Rapid evolution in lekking grouse: Implications for taxonomic definitions","interactions":[],"lastModifiedDate":"2017-11-27T15:56:22","indexId":"70194398","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2965,"text":"Ornithological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Rapid evolution in lekking grouse: Implications for taxonomic definitions","docAbstract":"<p><span>Species and subspecies delineations were traditionally defined by morphological and behavioral traits, as well as by plumage characteristics. Molecular genetic data have more recently been used to assess these classifications and, in many cases, to redefine them. The recent practice of utilizing molecular genetic data to examine taxonomic questions has led some to suggest that molecular genetic methods are more appropriate than traditional methods for addressing taxonomic uncertainty and management units. We compared the North American Tetraoninae—which have been defined using plumage, morphology, and behavior—and considered the effects of redefinition using only neutral molecular genetic data (mitochondrial control region and cytochrome oxidase subunit 1). Using the criterion of reciprocal monophyly, we failed to recognize the five species whose mating system is highly polygynous, with males displaying on leks. In lek-breeding species, sexual selection can act to influence morphological and behavioral traits at a rate much faster than can be tracked genetically. Thus, we suggest that at least for lek-breeding species, it is important to recognize the possibility that morphological and behavioral changes may occur at an accelerated rate compared with the processes that led to reciprocal monophyly of putatively neutral genetic markers. Therefore, it is particularly important to consider the possible disconnect between such lines of evidence when making taxonomic revisions and definitions of management units.</span></p>","language":"English","publisher":"The American Ornithologists' Union","doi":"10.1525/om.2010.67.1.114","usgsCitation":"Oyler-McCance, S.J., St. John, J., and Quinn, T.W., 2010, Rapid evolution in lekking grouse: Implications for taxonomic definitions: Ornithological Monographs, v. 67, p. 114-122, https://doi.org/10.1525/om.2010.67.1.114.","productDescription":"9 p.","startPage":"114","endPage":"122","ipdsId":"IP-010513","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610acce4b06e28e9c256d9","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. John, Judy","contributorId":200881,"corporation":false,"usgs":false,"family":"St. John","given":"Judy","email":"","affiliations":[],"preferred":false,"id":723691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quinn, Thomas W.","contributorId":101131,"corporation":false,"usgs":true,"family":"Quinn","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":723692,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","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":70037444,"text":"70037444 - 2010 - Coastal loading and transport of Escherichia coli at an embayed beach in Lake Michigan","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037444","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":"Coastal loading and transport of Escherichia coli at an embayed beach in Lake Michigan","docAbstract":"A Chicago beach in southwest Lake Michigan was revisited to determine the influence of nearshore hydrodynamic effects on the variability of Escherichia coli (E. coli) concentration in both knee-deep and offshore waters. Explanatory variables that could be used for identifying potential bacteria loading mechanisms, such as bed shear stress due to a combined wave-current boundary layer and wave runup on the beach surface, were derived from an existing wave and current database. The derived hydrodynamic variables, along with the actual observed E. coli concentrations in the submerged and foreshore sands, were expected to reveal bacteria loading through nearshore sediment resuspension and swash on the beach surface, respectively. Based on the observation that onshore waves tend to result in a more active hydrodynamic system at this embayed beach, multiple linear regression analysis of onshore-wave cases further indicated the significance of sediment resuspension and the interaction of swash with gull-droppings in explaining the variability of E. coli concentration in the knee-deep water. For cases with longshore currents, numerical simulations using the Princeton Ocean Model revealed current circulation patterns inside the embayment, which can effectively entrain bacteria from the swash zone into the central area of the embayed beach water and eventually release them out of the embayment. The embayed circulation patterns are consistent with the statistical results that identified that 1) the submerged sediment was an additional net source of E. coli to the offshore water and 2) variability of E. coli concentration in the knee-deep water contributed adversely to that in the offshore water for longshore-current cases. The embayed beach setting and the statistical and numerical methods used in the present study have wide applicability for analyzing recreational water quality at similar marine and freshwater sites. ?? 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/es100797r","issn":"0013936X","usgsCitation":"Ge, Z., Nevers, M., Schwab, D., and Whitman, R., 2010, Coastal loading and transport of Escherichia coli at an embayed beach in Lake Michigan: Environmental Science & Technology, v. 44, no. 17, p. 6731-6737, https://doi.org/10.1021/es100797r.","startPage":"6731","endPage":"6737","numberOfPages":"7","costCenters":[],"links":[{"id":217354,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es100797r"},{"id":245298,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"17","noUsgsAuthors":false,"publicationDate":"2010-08-05","publicationStatus":"PW","scienceBaseUri":"5059f785e4b0c8380cd4cb74","contributors":{"authors":[{"text":"Ge, Z.","contributorId":99769,"corporation":false,"usgs":true,"family":"Ge","given":"Z.","email":"","affiliations":[],"preferred":false,"id":461090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, M.B.","contributorId":13787,"corporation":false,"usgs":true,"family":"Nevers","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":461087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwab, D.J.","contributorId":23730,"corporation":false,"usgs":true,"family":"Schwab","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":461088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, R.L.","contributorId":69750,"corporation":false,"usgs":true,"family":"Whitman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":461089,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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 m<sup>3</sup>/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":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":70037441,"text":"70037441 - 2010 - Fuel deposition rates of montane and subalpine conifers in the central Sierra Nevada, California, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:09","indexId":"70037441","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Fuel deposition rates of montane and subalpine conifers in the central Sierra Nevada, California, USA","docAbstract":"Fire managers and researchers need information on fuel deposition rates to estimate future changes in fuel bed characteristics, determine when forests transition to another fire behavior fuel model, estimate future changes in fuel bed characteristics, and parameterize and validate ecosystem process models. This information is lacking for many ecosystems including the Sierra Nevada in California, USA. We investigated fuel deposition rates and stand characteristics of seven montane and four subalpine conifers in the Sierra Nevada. We collected foliage, miscellaneous bark and crown fragments, cones, and woody fuel classes from four replicate plots each in four stem diameter size classes for each species, for a total of 176 sampling sites. We used these data to develop predictive equations for each fuel class and diameter size class of each species based on stem and crown characteristics. There were consistent species and diameter class differences in the annual amount of foliage and fragments deposited. Foliage deposition rates ranged from just over 50 g m<sup>-2</sup> year<sup>-1</sup> in small diameter mountain hemlock stands to ???300 g m<sup>-2</sup> year<sup>-1</sup> for the three largest diameter classes of giant sequoia. The deposition rate for most woody fuel classes increased from the smallest diameter class stands to the largest diameter class stands. Woody fuel deposition rates varied among species as well. The rates for the smallest woody fuels ranged from 0.8 g m<sup>-2</sup> year<sup>-1</sup> for small diameter stands of Jeffrey pine to 126.9 g m<sup>-2</sup> year<sup>-1</sup> for very large diameter stands of mountain hemlock. Crown height and live crown ratio were the best predictors of fuel deposition rates for most fuel classes and species. Both characteristics reflect the amount of crown biomass including foliage and woody fuels. Relationships established in this study allow predictions of fuel loads to be made on a stand basis for each of these species under current and possible future conditions. These predictions can be used to estimate fuel treatment longevity, assist in determining fuel model transitions, and predict future changes in fuel bed characteristics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.foreco.2010.02.024","issn":"03781127","usgsCitation":"van Wagtendonk, J., and Moore, P., 2010, Fuel deposition rates of montane and subalpine conifers in the central Sierra Nevada, California, USA: Forest Ecology and Management, v. 259, no. 10, p. 2122-2132, https://doi.org/10.1016/j.foreco.2010.02.024.","startPage":"2122","endPage":"2132","numberOfPages":"11","costCenters":[],"links":[{"id":217328,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2010.02.024"},{"id":245268,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"259","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1409e4b0c8380cd54895","contributors":{"authors":[{"text":"van Wagtendonk, J. W.","contributorId":85111,"corporation":false,"usgs":true,"family":"van Wagtendonk","given":"J. W.","affiliations":[],"preferred":false,"id":461081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, P.E.","contributorId":57395,"corporation":false,"usgs":true,"family":"Moore","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":461080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}