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,{"id":70037559,"text":"70037559 - 2010 - Analysis of elevation changes detected from multi-temporal LiDAR surveys in forested landslide terrain in western Oregon","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70037559","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of elevation changes detected from multi-temporal LiDAR surveys in forested landslide terrain in western Oregon","docAbstract":"We examined elevation changes detected from two successive sets of Light Detection and Ranging (LiDAR) data in the northern Coast Range of Oregon. The first set of LiDAR data was acquired during leafon conditions and the second set during leaf-off conditions. We were able to successfully identify and map active landslides using a differential digital elevation model (DEM) created from the two LiDAR data sets, but this required the use of thresholds (0.50 and 0.75 m) to remove noise from the differential elevation data, visual pattern recognition of landslideinduced elevation changes, and supplemental QuickBird satellite imagery. After mapping, we field-verified 88 percent of the landslides that we had mapped with high confidence, but we could not detect active landslides with elevation changes of less than 0.50 m. Volumetric calculations showed that a total of about 18,100 m3 of material was missing from landslide areas, probably as a result of systematic negative elevation errors in the differential DEM and as a result of removal of material by erosion and transport. We also examined the accuracies of 285 leaf-off LiDAR elevations at four landslide sites using Global Positioning System and total station surveys. A comparison of LiDAR and survey data indicated an overall root mean square error of 0.50 m, a maximum error of 2.21 m, and a systematic error of 0.09 m. LiDAR ground-point densities were lowest in areas with young conifer forests and deciduous vegetation, which resulted in extensive interpolations of elevations in the leaf-on, bare-earth DEM. For optimal use of multi-temporal LiDAR data in forested areas, we recommend that all data sets be flown during leaf-off seasons.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental and Engineering Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2113/gseegeosci.16.4.315","issn":"10787275","usgsCitation":"Burns, W., Coe, J.A., Kaya, B., and Ma, L., 2010, Analysis of elevation changes detected from multi-temporal LiDAR surveys in forested landslide terrain in western Oregon: Environmental & Engineering Geoscience, v. 16, no. 4, p. 315-341, https://doi.org/10.2113/gseegeosci.16.4.315.","startPage":"315","endPage":"341","numberOfPages":"27","costCenters":[],"links":[{"id":245919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217946,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/gseegeosci.16.4.315"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-10-26","publicationStatus":"PW","scienceBaseUri":"5059eb11e4b0c8380cd48bc5","contributors":{"authors":[{"text":"Burns, W.J.","contributorId":32019,"corporation":false,"usgs":true,"family":"Burns","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":461599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":461597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaya, B.S.","contributorId":100226,"corporation":false,"usgs":true,"family":"Kaya","given":"B.S.","email":"","affiliations":[],"preferred":false,"id":461600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ma, Liwang","contributorId":29140,"corporation":false,"usgs":true,"family":"Ma","given":"Liwang","email":"","affiliations":[],"preferred":false,"id":461598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046504,"text":"ds576 - 2010 - Groundwater site identification indexes for Washington, D.C., Baltimore City, and the counties of Maryland","interactions":[],"lastModifiedDate":"2013-06-17T11:50:18","indexId":"ds576","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":"576","title":"Groundwater site identification indexes for Washington, D.C., Baltimore City, and the counties of Maryland","docAbstract":"These datasets represent 23 geographic 5-minute indexes for the counties of Maryland, one 2 1/2-minute index for Washington D.C., and 1-mile square index for Baltimore City. There are 25 vector polygon datasets covered by this metadata report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds576","usgsCitation":"LaMotte, A.E., 2010, Groundwater site identification indexes for Washington, D.C., Baltimore City, and the counties of Maryland: U.S. Geological Survey Data Series 576, Dataset, https://doi.org/10.3133/ds576.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-028051","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":273814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273811,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mddc_indexes.xml."}],"country":"United States","state":"Maryl","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.916667,38.666667 ], [ -76.916667,39.250000 ], [ -76.333333,39.250000 ], [ -76.333333,38.666667 ], [ -76.916667,38.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02febe4b0ee1529ed3ce6","contributors":{"authors":[{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479723,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037477,"text":"70037477 - 2010 - A physiological approach to quantifying thermal habitat quality for redband rainbow trout (Oncorhynchus mykiss gairdneri) in the south Fork John Day River, Oregon","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037477","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"A physiological approach to quantifying thermal habitat quality for redband rainbow trout (Oncorhynchus mykiss gairdneri) in the south Fork John Day River, Oregon","docAbstract":"We examined tissue-specific levels of heat shock protein 70 (hsp70) and whole body lipid levels in juvenile redband trout (Oncorhynchus mykiss gairdneri) from the South Fork of the John Day River (SFJD), Oregon, with the goal of determining if these measures could be used as physiological indicators of thermal habitat quality for juvenile redband trout. Our objectives were to determine the hsp70 induction temperature in liver, fin, and white muscle tissue and characterize the relation between whole body lipids and hsp70 for fish in the SFJD. We found significant increases in hsp70 levels between 19 and 22??C in fin, liver, and white muscle tissue. Maximum hsp70 levels in liver, fin, and white muscle tissue occurred when mean weekly maximum temperatures (MWMT) exceeded 20-22??C. In general, the estimated hsp70 induction temperature for fin and white muscle tissue was higher than liver tissue. Whole body lipid levels began to decrease when MWMT exceeded 20. 4??C. There was a significant interaction between temperature and hsp70 in fin and white muscle tissue, but not liver tissue. Collectively, these results suggest that increased hsp70 levels in juvenile redband trout are symptomatic of thermal stress, and that energy storage capacity decreases with this stress. The possible decrease in growth potential and fitness for thermally stressed individuals emphasizes the physiological justification for thermal management criteria in salmon-bearing streams. ?? Springer Science+Business Media B.V. 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10641-010-9580-6","issn":"03781909","usgsCitation":"Feldhaus, J., Heppell, S., Li, H., and Mesa, M., 2010, A physiological approach to quantifying thermal habitat quality for redband rainbow trout (Oncorhynchus mykiss gairdneri) in the south Fork John Day River, Oregon: Environmental Biology of Fishes, v. 87, no. 4, p. 277-290, https://doi.org/10.1007/s10641-010-9580-6.","startPage":"277","endPage":"290","numberOfPages":"14","costCenters":[],"links":[{"id":217096,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-010-9580-6"},{"id":245012,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-02-20","publicationStatus":"PW","scienceBaseUri":"5059e4d9e4b0c8380cd46991","contributors":{"authors":[{"text":"Feldhaus, J.W.","contributorId":23776,"corporation":false,"usgs":true,"family":"Feldhaus","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":461245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heppell, S.A.","contributorId":91313,"corporation":false,"usgs":true,"family":"Heppell","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":461247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, H.","contributorId":44338,"corporation":false,"usgs":true,"family":"Li","given":"H.","email":"","affiliations":[],"preferred":false,"id":461246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mesa, M.G.","contributorId":17386,"corporation":false,"usgs":true,"family":"Mesa","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":461244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046752,"text":"dds49121 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: 30-Year Average Annual Precipitation, 1971-2000","interactions":[],"lastModifiedDate":"2013-11-25T16:04:42","indexId":"dds49121","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-21","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: 30-Year Average Annual Precipitation, 1971-2000","docAbstract":"This tabular data set represents the 30-year (1971-2000) average annual precipitation in millimeters multiplied by 100 compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data were the United States Average Monthly or Annual Minimum Precipitation, 1971 - 2000 raster data set produced by the PRISM Group at Oregon State University. The MRB_E2RF1 catchments are based on a modified version of the Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; J.W. Brakebill, U.S. Geological Survey, written commun., 2008). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49121","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: 30-Year Average Annual Precipitation, 1971-2000: U.S. Geological Survey Data Series 491-21, Dataset, https://doi.org/10.3133/dds49121.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274384,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_ppt30yr.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e1e4b0ca18483389d4","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":480161,"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":480162,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046753,"text":"dds49122 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Estimated Mean Annual Natural Groundwater Recharge, 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:08:13","indexId":"dds49122","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-22","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Estimated Mean Annual Natural Groundwater Recharge, 2002","docAbstract":"This tabular data set represents the mean annual natural groundwater recharge, in millimeters, compiled for every MRB_E2RF1catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data set is Estimated Mean Annual Natural Ground-Water Recharge in the Conterminous United States (Wolock, 2003). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49122","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Estimated Mean Annual Natural Groundwater Recharge, 2002: U.S. Geological Survey Data Series 491-22, Dataset, https://doi.org/10.3133/dds49122.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274387,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_recharge.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e2e4b0ca18483389e3","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":480163,"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":480164,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046754,"text":"dds49123 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Mean Annual R-factor, 1971-2000","interactions":[],"lastModifiedDate":"2013-11-25T16:08:46","indexId":"dds49123","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-23","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Mean Annual R-factor, 1971-2000","docAbstract":"This tabular data set represents the average annual R-factor, rainfall-runoff erosivity measure, compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data are from Christopher Daly of the Spatial Climate Analysis Service, Oregon State University, and George Taylor of the Oregon Climate Service, Oregon State University (2002). The ERF1_2 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49123","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Mean Annual R-factor, 1971-2000: U.S. Geological Survey Data Series 491-23, Dataset, https://doi.org/10.3133/dds49123.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274401,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_rfact30.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e3e4b0ca18483389f3","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":480165,"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":480166,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046642,"text":"70046642 - 2010 - Location of photographs showing landslide features in the Little North Santiam River Basin, Oregon","interactions":[],"lastModifiedDate":"2013-06-18T09:00:14","indexId":"70046642","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Location of photographs showing landslide features in the Little North Santiam River Basin, Oregon","docAbstract":"Data points represent locations of photographs taken of landslides in the Little North Santiam River Basin, Oregon. Photos were taken in spring of 2010 during field verification of landslide locations (deposits previously mapped using LiDAR-derived imagery). The photographs depict various landslide features, such as scarps, pistol-butt trees, or colluvium deposits. This work was completed as part of the Master's thesis \"Turbidity Monitoring and LiDAR Imagery Indicate Landslides are Primary Source of Suspended-Sediment Load in the Little North Santiam River Basin, Oregon, Winter 2009-2010\" by Steven Sobieszczyk, Portland State University and U.S. Geological Survey. Data layers in this geodatabase include: landslide deposit boundaries (Deposits); field-verfied location imagery (Photos); head scarp or scarp flanks (Scarp_Flanks); and secondary scarp features (Scarps).The geodatabase template was developed by the Oregon Department of Geology and Mineral Industries (Burns and Madin, 2009).","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/70046642","usgsCitation":"Sobieszczyk, S., 2010, Location of photographs showing landslide features in the Little North Santiam River Basin, Oregon, Dataset, https://doi.org/10.3133/70046642.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273891,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/insantiam_LandslideInventory_Photos.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.561827,44.793310 ], [ -122.561827,44.866937 ], [ -122.233760,44.866937 ], [ -122.233760,44.793310 ], [ -122.561827,44.793310 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18169e4b0dd0e00d921e9","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046639,"text":"70046639 - 2010 - Landslide deposit boundaries for the Little North Santiam River Basin, Oregon","interactions":[],"lastModifiedDate":"2013-06-18T08:29:34","indexId":"70046639","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Landslide deposit boundaries for the Little North Santiam River Basin, Oregon","docAbstract":"This layer is an inventory of existing landslides deposits in the Little North Santiam River Basin, Oregon (2009). Each landslide deposit shown on this map has been classified according to a number of specific characteristics identified at the time recorded in the GIS database. The classification scheme was developed by the Oregon Department of Geology and Mineral Industries (Burns and Madin, 2009).  Several significant landslide characteristics recorded in the database are portrayed with symbology on this map. The specific characteristics shown for each landslide are the activity of landsliding, landslide features, deep or shallow failure, type of landslide movement, and confidence of landslide interpretation. These landslide characteristics are determined primarily on the basis of geomorphic features, or landforms, observed for each landslide. This work was completed as part of the Master's thesis \"Turbidity Monitoring and LiDAR Imagery Indicate Landslides are Primary Source of Suspended-Sediment Load in the Little North Santiam River Basin, Oregon, Winter 2009-2010\" by Steven Sobieszczyk, Portland State University and U.S. Geological Survey.Data layers in this geodatabase include: landslide deposit boundaries (Deposits); field-verfied location imagery (Photos); head scarp or scarp flanks (Scarp_Flanks); and secondary scarp features (Scarps).The geodatabase template was developed by the Oregon Department of Geology and Mineral Industries (Burns and Madin, 2009).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046639","usgsCitation":"Sobieszczyk, S., 2010, Landslide deposit boundaries for the Little North Santiam River Basin, Oregon, Dataset, https://doi.org/10.3133/70046639.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273885,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/insantiam_LandslideInventory_Deposits.xml"}],"country":"United States","state":"Oregon","county":"Marion","otherGeospatial":"Little North Santiam River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.583361,44.776577 ], [ -122.583361,44.899782 ], [ -122.135924,44.899782 ], [ -122.135924,44.776577 ], [ -122.583361,44.776577 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18169e4b0dd0e00d921e5","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479917,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046636,"text":"70046636 - 2010 - Landslide inventory for the Little North Santiam River Basin, Oregon","interactions":[],"lastModifiedDate":"2013-06-17T16:18:00","indexId":"70046636","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Landslide inventory for the Little North Santiam River Basin, Oregon","docAbstract":"This geodatabase is an inventory of existing landslides in the Little North Santiam River Basin, Oregon (2009). Each landslide feature shown has been classified according to a number of specific characteristics identified at the time recorded in the GIS database. The classification scheme was developed by the Oregon Department of Geology and Mineral Industries (Burns and Madin, 2009).  Several significant landslide characteristics recorded in the database are portrayed with symbology on this map. The specific characteristics shown for each landslide are the activity of landsliding, landslide features, deep or shallow failure, type of landslide movement, and confidence of landslide interpretation. These landslide characteristics are determined primarily on the basis of geomorphic features, or landforms, observed for each landslide. This work was completed as part of the Master's thesis \"Turbidity Monitoring and LiDAR Imagery Indicate Landslides are Primary Source of Suspended-Sediment Load in the Little North Santiam River Basin, Oregon, Winter 2009-2010\" by Steven Sobieszczyk, Portland State University and U.S. Geological Survey. Data layers in this geodatabase include: landslide deposit boundaries (Deposits); field-verfied location imagery (Photos); head scarp or scarp flanks (Scarp_Flanks); and secondary scarp features (Scarps).The geodatabase template was developed by the Oregon Department of Geology and Mineral Industries (Burns and Madin, 2009).","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/70046636","usgsCitation":"Sobieszczyk, S., 2010, Landslide inventory for the Little North Santiam River Basin, Oregon, Dataset, https://doi.org/10.3133/70046636.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273867,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/insantiam_LandslideInventory.xml"}],"country":"United States","state":"Oregon","county":"Marion","otherGeospatial":"Little North Santiam River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.583361,44.776220 ], [ -122.583361,44.899790 ], [ -122.135396,44.899790 ], [ -122.135396,44.776220 ], [ -122.583361,44.776220 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff1e4b0ee1529ed3d16","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479913,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043672,"text":"70043672 - 2010 - Guidelines to indirectly measure and enhance detection efficiency of stationary PIT tag interrogation systems in streams","interactions":[],"lastModifiedDate":"2016-06-23T15:47:24","indexId":"70043672","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Guidelines to indirectly measure and enhance detection efficiency of stationary PIT tag interrogation systems in streams","docAbstract":"<p>With increasing use of passive integrated transponder (PIT) tags and reliance on stationary PIT tag interrogation systems to monitor fish populations, guidelines are offered to inform users how best to use limited funding and human resources to create functional systems that maximize a desired level of detection and precision. The estimators of detection efficiency and their variability as described by Connolly et al. (2008) are explored over a span of likely performance metrics. These estimators were developed to estimate detection efficiency without relying on a known number of fish passing the system. I present graphical displays of the results derived from these estimators to show the potential efficiency and precision to be gained by adding an array or by increasing the number of PIT-tagged fish expected to move past an interrogation system.</p>","language":"English","publisher":"PNAMP","usgsCitation":"Connolly, P., 2010, Guidelines to indirectly measure and enhance detection efficiency of stationary PIT tag interrogation systems in streams, p. 119-126.","productDescription":"8 p.","startPage":"119","endPage":"126","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017532","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":324312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576d0831e4b07657d1a37563","contributors":{"authors":[{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":640583,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046633,"text":"ds587C - 2010 - National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 3, Southwest United States: IMPV01_3","interactions":[],"lastModifiedDate":"2013-06-17T15:45:18","indexId":"ds587C","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":"C","title":"National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 3, Southwest United States: IMPV01_3","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 Service","publisherLocation":"Reston, VA","doi":"10.3133/ds587C","usgsCitation":"LaMotte, A.E., and Wieczorek, M., 2010, National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 3, Southwest United States: IMPV01_3 (Version 1): U.S. Geological Survey Data Series 587, Dataset, https://doi.org/10.3133/ds587C.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.305923,22.736542 ], [ -123.305923,39.874012 ], [ -97.818040,39.874012 ], [ -97.818040,22.736542 ], [ -123.305923,22.736542 ] ] ] } } ] }","edition":"Version 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff2e4b0ee1529ed3d28","contributors":{"authors":[{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046632,"text":"ds587B - 2010 - National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 2, Northeast United States: IMPV01_2","interactions":[],"lastModifiedDate":"2013-06-17T15:36:19","indexId":"ds587B","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":"B","title":"National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 2, Northeast United States: IMPV01_2","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 Service","publisherLocation":"Reston, VA","doi":"10.3133/ds587B","usgsCitation":"LaMotte, A.E., and Wieczorek, M., 2010, National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 2, Northeast United States: IMPV01_2 (Version 1): U.S. Geological Survey Data Series 587, Dataset, https://doi.org/10.3133/ds587B.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273858,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/impv01_2.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 98.612036,37.105324 ], [ 98.612036,51.857938 ], [ -65.143599,51.857938 ], [ -65.143599,37.105324 ], [ 98.612036,37.105324 ] ] ] } } ] }","edition":"Version 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff2e4b0ee1529ed3d24","contributors":{"authors":[{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479906,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043674,"text":"70043674 - 2010 - Juvenile Salmonid survival, passage, and egress at McNary Dam during tests of temporary spillway weirs, 2009","interactions":[],"lastModifiedDate":"2016-12-27T11:10:19","indexId":"70043674","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Juvenile Salmonid survival, passage, and egress at McNary Dam during tests of temporary spillway weirs, 2009","docAbstract":"We evaluated behavior, passage, and survival of juvenile salmonids at McNary Dam in relation to the temporary spillway weirs (TSWs) using acoustic telemetry during 2009. The TSWs were located in spill bays 4 and 20 during spring and in spill bays 19 and 20 during summer. Our objectives were to assess the performance of the TSWs as a fish passage alternative. We also examined how tailrace conditions might have influenced fish survival by releasing drift buoys (drogues).\nThe TSWs proved to be a relatively effective way to pass juvenile salmonids at McNary Dam (Summary Tables 1.1, 1.2, and 1.3), as was the case in 2007 and 2008. The TSWs passed about 14% of yearling Chinook salmon and 34% of juvenile steelhead with only 5-10% of total project discharge flowing through the TSWs. The TSWs and adjacent spill bays 16-18 passed 27% of subyearling Chinook salmon in the summer with 6-16% of total project discharge flowing through the TSWs. Based on the number of fish passing per the proportion of water flowing through the spillway (i.e., passage effectiveness), the TSWs were the most effective passage route. Passage effectiveness for fish passing through both TSW structures was 2.0 for yearling Chinook salmon, 5.2 for juvenile steelhead, and 2.7 subyearling Chinook salmon for TSW 20 alone. Higher passage of juvenile steelhead through the TSWs could have resulted from juvenile steelhead being more surface-oriented during migration (Plumb et al. 2004; Beeman et al. 2007; Beeman and Maule 2006). Based on passage performance and effectiveness metrics, TSW 4, located on the north end of the spillway, did not perform as well as TSW 20, located on the south end of the spillway. Passage proportions for TSW 4 were at least half that of the levels observed for TSW 20 for both yearling Chinook salmon and juvenile steelhead. This difference may be attributed to TSW location or other variables such as dam operations. Regardless of which TSW was used by fish passing the dam, survival through both TSWs was high (> 0.98 for paired-release dam survival) for yearling Chinook salmon and juvenile steelhead.","language":"English","publisher":"U.S. Army Corps of Engineers","publisherLocation":"Walla Walla, WA","usgsCitation":"Adams, N., and Liedtke, T., 2010, Juvenile Salmonid survival, passage, and egress at McNary Dam during tests of temporary spillway weirs, 2009, 191 p. .","productDescription":"191 p. ","ipdsId":"IP-022316","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"McNary Dam ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.37366485595702,\n              45.93252776429104\n            ],\n            [\n              -119.29538726806639,\n              45.94709159562572\n            ],\n            [\n              -119.24148559570311,\n              45.95162708963677\n            ],\n            [\n              -119.16183471679688,\n              45.940645781504905\n            ],\n            [\n              -119.10003662109374,\n              45.952104488469985\n            ],\n            [\n              -119.09591674804688,\n              45.91867663909007\n            ],\n            [\n              -119.21539306640626,\n              45.915810457254395\n            ],\n            [\n              -119.34585571289062,\n              45.909122123907295\n            ],\n            [\n              -119.38293457031249,\n              45.90243298453263\n            ],\n            [\n              -119.39117431640625,\n              45.93300532761351\n            ],\n            [\n              -119.37366485595702,\n              45.93252776429104\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58638bd6e4b0cd2dabe7bec4","contributors":{"authors":[{"text":"Adams, N.S.","contributorId":93175,"corporation":false,"usgs":true,"family":"Adams","given":"N.S.","affiliations":[],"preferred":false,"id":656638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, T.L.","contributorId":32800,"corporation":false,"usgs":true,"family":"Liedtke","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":656639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037506,"text":"70037506 - 2010 - Chemical and nanometer-scale structure of kerogen and its change during thermal maturation investigated by advanced solid-state <sup>13</sup>C NMR spectroscopy","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70037506","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Chemical and nanometer-scale structure of kerogen and its change during thermal maturation investigated by advanced solid-state <sup>13</sup>C NMR spectroscopy","docAbstract":"We have used advanced and quantitative solid-state nuclear magnetic resonance (NMR) techniques to investigate structural changes in a series of type II kerogen samples from the New Albany Shale across a range of maturity (vitrinite reflectance R<sub>0</sub> from 0.29% to 1.27%). Specific functional groups such as CH<sub>3</sub>, CH<sub>2</sub>, alkyl CH, aromatic CH, aromatic C-O, and other nonprotonated aromatics, as well as \"oil prone\" and \"gas prone\" carbons, have been quantified by <sup>13</sup>C NMR; atomic H/C and O/C ratios calculated from the NMR data agree with elemental analysis. Relationships between NMR structural parameters and vitrinite reflectance, a proxy for thermal maturity, were evaluated. The aromatic cluster size is probed in terms of the fraction of aromatic carbons that are protonated (???30%) and the average distance of aromatic C from the nearest protons in long-range H-C dephasing, both of which do not increase much with maturation, in spite of a great increase in aromaticity. The aromatic clusters in the most mature sample consist of ???30 carbons, and of ???20 carbons in the least mature samples. Proof of many links between alkyl chains and aromatic rings is provided by short-range and long-range <sup>1</sup>H-<sup>13</sup>C correlation NMR. The alkyl segments provide most H in the samples; even at a carbon aromaticity of 83%, the fraction of aromatic H is only 38%. While aromaticity increases with thermal maturity, most other NMR structural parameters, including the aromatic C-O fractions, decrease. Aromaticity is confirmed as an excellent NMR structural parameter for assessing thermal maturity. In this series of samples, thermal maturation mostly increases aromaticity by reducing the length of the alkyl chains attached to the aromatic cores, not by pronounced growth of the size of the fused aromatic ring clusters. ?? 2010 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gca.2009.12.029","issn":"00167037","usgsCitation":"Mao, J., Fang, X., Lan, Y., Schimmelmann, A., Mastalerz, M., Xu, L., and Schmidt-Rohr, K., 2010, Chemical and nanometer-scale structure of kerogen and its change during thermal maturation investigated by advanced solid-state <sup>13</sup>C NMR spectroscopy: Geochimica et Cosmochimica Acta, v. 74, no. 7, p. 2110-2127, https://doi.org/10.1016/j.gca.2009.12.029.","startPage":"2110","endPage":"2127","numberOfPages":"18","costCenters":[],"links":[{"id":218057,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2009.12.029"},{"id":246037,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f54ae4b0c8380cd4c168","contributors":{"authors":[{"text":"Mao, J.","contributorId":87513,"corporation":false,"usgs":true,"family":"Mao","given":"J.","email":"","affiliations":[],"preferred":false,"id":461369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":461364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Y.","contributorId":59277,"corporation":false,"usgs":true,"family":"Lan","given":"Y.","email":"","affiliations":[],"preferred":false,"id":461366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schimmelmann, A.","contributorId":28348,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"A.","affiliations":[],"preferred":false,"id":461363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mastalerz, Maria","contributorId":78065,"corporation":false,"usgs":true,"family":"Mastalerz","given":"Maria","affiliations":[],"preferred":false,"id":461367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, L.","contributorId":82884,"corporation":false,"usgs":true,"family":"Xu","given":"L.","email":"","affiliations":[],"preferred":false,"id":461368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt-Rohr, K.","contributorId":52439,"corporation":false,"usgs":true,"family":"Schmidt-Rohr","given":"K.","affiliations":[],"preferred":false,"id":461365,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037503,"text":"70037503 - 2010 - Discovery of ammocrypta clara (western sand darter) in the Upper Ohio River of West Virginia","interactions":[],"lastModifiedDate":"2017-05-10T15:08:58","indexId":"70037503","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of ammocrypta clara (western sand darter) in the Upper Ohio River of West Virginia","docAbstract":"<p><i>Ammocrypta clara</i><span>&nbsp;Jordan and Meek (western sand darter) occurs primarily in the western portions of Mississippi River system, but also has been reported from a Lake Michigan drainage and a few eastern Texas Gulf Slope rivers. Additional range records depict a semi-disjunct distribution within the Ohio River drainage, including collections from Wabash River in Indiana, the Cumberland, Green, Kentucky and Big Sandy rivers of Kentucky, and the upper Tennessee River in Tennessee and Virginia. This paper documents the occurrence of&nbsp;</span><i>A. clara</i><span>&nbsp;from the upper Ohio River drainage within the lower Elk River, West Virginia, based on collections from 1986, 1991, 1995, 2005 and 2006. The Elk River population, consistent with those of other Ohio River drainages, has slightly higher counts for numbers of dorsal-fin rays, scales below lateral line and lateral line scales when compared to data from populations outside of the Ohio River drainage. Modal counts of meristic characters are similar among populations, except for higher modal counts of lateral line scales in the Ohio River population. The discovery of the Elk River population extends the range distribution of&nbsp;</span><i>A. clara</i><span>&nbsp;in the Eastern Highlands region, documents wide distributional overlap and additional sympatry with its sister species,</span><i>A. pellucida</i><span>&nbsp;(eastern sand darter), and softens support for an east-west Central Highlands vicariance hypothesis for the present distribution of&nbsp;</span><i>A. clara</i><span>&nbsp;and&nbsp;</span><i>A. pellucida</i><span>.</span></p>","language":"English","publisher":"University of Notre Dame","publisherLocation":"Notre Dame, IN","doi":"10.1674/0003-0031-163.2.318","issn":"00030031","usgsCitation":"Cincotta, D.A., and Welsh, S.A., 2010, Discovery of ammocrypta clara (western sand darter) in the Upper Ohio River of West Virginia: American Midland Naturalist, v. 163, no. 2, p. 318-325, https://doi.org/10.1674/0003-0031-163.2.318.","productDescription":"8 p.","startPage":"318","endPage":"325","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010169","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":246006,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Elk River, Ohio River drainage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.6460132598877,\n              38.35572453979969\n            ],\n            [\n              -81.64361000061035,\n              38.35424378986266\n            ],\n            [\n              -81.64069175720215,\n              38.35693603995133\n            ],\n            [\n              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]\n}","volume":"163","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a01f0e4b0c8380cd4fdd6","contributors":{"authors":[{"text":"Cincotta, Dan A.","contributorId":29611,"corporation":false,"usgs":false,"family":"Cincotta","given":"Dan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":461356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":461355,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037414,"text":"70037414 - 2010 - A physiologically based toxicokinetic model for methylmercury in female American kestrels","interactions":[],"lastModifiedDate":"2018-10-20T09:05:08","indexId":"70037414","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"A physiologically based toxicokinetic model for methylmercury in female American kestrels","docAbstract":"<p>A physiologically based toxicokinetic (PBTK) model was developed to describe the uptake, distribution, and elimination of methylmercury (CH 3Hg) in female American kestrels. The model consists of six tissue compartments corresponding to the brain, liver, kidney, gut, red blood cells, and remaining carcass. Additional compartments describe the elimination of CH3Hg to eggs and growing feathers. Dietary uptake of CH 3Hg was modeled as a diffusion-limited process, and the distribution of CH3Hg among compartments was assumed to be mediated by the flow of blood plasma. To the extent possible, model parameters were developed using information from American kestrels. Additional parameters were based on measured values for closely related species and allometric relationships for birds. The model was calibrated using data from dietary dosing studies with American kestrels. Good agreement between model simulations and measured CH3Hg concentrations in blood and tissues during the loading phase of these studies was obtained by fitting model parameters that control dietary uptake of CH 3Hg and possible hepatic demethylation. Modeled results tended to underestimate the observed effect of egg production on circulating levels of CH3Hg. In general, however, simulations were consistent with observed patterns of CH3Hg uptake and elimination in birds, including the dominant role of feather molt. This model could be used to extrapolate CH 3Hg kinetics from American kestrels to other bird species by appropriate reassignment of parameter values. Alternatively, when combined with a bioenergetics-based description, the model could be used to simulate CH 3Hg kinetics in a long-term environmental exposure.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/etc.241","issn":"07307268","usgsCitation":"Nichols, J., Bennett, R., Rossmann, R., French, J.B., and Sappington, K., 2010, A physiologically based toxicokinetic model for methylmercury in female American kestrels: Environmental Toxicology and Chemistry, v. 29, no. 8, p. 1854-1867, https://doi.org/10.1002/etc.241.","productDescription":"14 p.","startPage":"1854","endPage":"1867","numberOfPages":"14","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":245163,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217235,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.241"}],"volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-08-01","publicationStatus":"PW","scienceBaseUri":"5059e4d9e4b0c8380cd46994","contributors":{"authors":[{"text":"Nichols, J.W.","contributorId":97290,"corporation":false,"usgs":true,"family":"Nichols","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":460949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, R.S.","contributorId":16533,"corporation":false,"usgs":true,"family":"Bennett","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":460947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossmann, R.","contributorId":54702,"corporation":false,"usgs":true,"family":"Rossmann","given":"R.","email":"","affiliations":[],"preferred":false,"id":460948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, John B. 0000-0001-8901-7092 jbfrench@usgs.gov","orcid":"https://orcid.org/0000-0001-8901-7092","contributorId":377,"corporation":false,"usgs":true,"family":"French","given":"John","email":"jbfrench@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":460946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sappington, K.G.","contributorId":8701,"corporation":false,"usgs":true,"family":"Sappington","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":460945,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037504,"text":"70037504 - 2010 - Changes in agriculture and abundance of snow geese affect carrying capacity of sandhill cranes in Nebraska","interactions":[],"lastModifiedDate":"2018-01-04T12:54:38","indexId":"70037504","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Changes in agriculture and abundance of snow geese affect carrying capacity of sandhill cranes in Nebraska","docAbstract":"The central Platte River valley (CPRV) in Nebraska, USA, is a key spring-staging area for approximately 80 of the midcontinent population of sandhill cranes (Grus canadensis; hereafter cranes). Evidence that staging cranes acquired less lipid reserves during the 1990s compared to the late 1970s and increases in use of the CPRV by snow geese (Chen caerulescens) prompted us to investigate availability of waste corn and quantify spatial and temporal patterns of crane and waterfowl use of the region. We developed a predictive model to assess impacts of changes in availability of corn and snow goose abundance under past, present, and potential future conditions. Over a hypothetical 60-day staging period, predicted energy demand of cranes and waterfowl increased 87 between the late 1970s and 19982007, primarily because peak abundances of snow geese increased by 650,000 and cranes by 110,000. Compared to spring 1979, corn available when cranes arrived was 20 less in 1998 and 68 less in 1999; consequently, the area of cornfields required to meet crane needs increased from 14,464 ha in 1979 to 32,751 ha in 1998 and 90,559 ha in 1999. Using a pooled estimate of 88 kg/ha from springs 19981999 and 20052007, the area of cornfields needed to supply food requirements of cranes and waterfowl increased to 65,587 ha and was greatest in the eastern region of the CPRV, where an estimated 54 of cranes, 47 of Canada geese (Branta canadensis), 45 of greater white-fronted geese (Anser albifrons), and 46 of snow geese occurred during ground surveys. We estimated that a future reduction of 25 in available corn or cornfields would increase daily foraging flight distances of cranes by 2738. Crane use and ability of cranes to store lipid reserves in the CPRV could be reduced substantially if flight distance required to locate adequate corn exceeded a physiological maximum distance cranes could fly in search of food. Options to increase carrying capacity for cranes include increasing accessibility of cornfields by restoring degraded river channels to disperse roosting cranes and increasing wetland availability in the Rainwater Basin to attract snow geese using the CPRV. ?? The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2008-539","issn":"0022541X","usgsCitation":"Pearse, A., Krapu, G., Brandt, D., and Kinzel, P., 2010, Changes in agriculture and abundance of snow geese affect carrying capacity of sandhill cranes in Nebraska: Journal of Wildlife Management, v. 74, no. 3, p. 479-488, https://doi.org/10.2193/2008-539.","productDescription":"10 p.","startPage":"479","endPage":"488","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":246021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218043,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2008-539"}],"volume":"74","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"5059f409e4b0c8380cd4bada","contributors":{"authors":[{"text":"Pearse, A.T.","contributorId":56333,"corporation":false,"usgs":true,"family":"Pearse","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":461358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krapu, Gary L.","contributorId":56994,"corporation":false,"usgs":true,"family":"Krapu","given":"Gary L.","affiliations":[],"preferred":false,"id":461359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, D.A.","contributorId":67448,"corporation":false,"usgs":true,"family":"Brandt","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":461360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinzel, P.J.","contributorId":27834,"corporation":false,"usgs":true,"family":"Kinzel","given":"P.J.","affiliations":[],"preferred":false,"id":461357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043965,"text":"70043965 - 2010 - Wind River water restoration, Annual report November 2008 to October 2009.","interactions":[],"lastModifiedDate":"2016-12-28T11:16:59","indexId":"70043965","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River water restoration, Annual report November 2008 to October 2009.","docAbstract":"This report summarizes work completed by U.S. Geological Survey’s Columbia River Research Laboratory (USGS-CRRL) in the Wind River subbasin during the period November 2008 through October 2009 under Bonneville Power Administration (BPA) contract 41038.  Long term research in the Wind River has focused on assessments of steelhead/rainbow trout Oncorhynchus mykiss populations, interactions with introduced populations of spring Chinook salmon O. tshawytscha and brook trout Salvelinus fontinalis, and influences of habitat variables on fish productivity.  During this period, we collected water temperature data to characterize variation within and among tributaries and mainstem sections in the Trout Creek watershed, and assisted Washington Department of Fish and Wildlife with smolt trapping and tagging of smolt and parr steelhead with passive integrated transponder (PIT) tags.  We also continued to maintain and test efficacy of a passive integrated transponder tag interrogation system (PTIS) in Trout Creek for assessing the adult steelhead runsize.  We continued to maintain and download PTIS setups in the fish ladder at Hemlock Dam.  These PTISs contributed information on movement and rearing of steelhead parr and smolts.  \nA statement of work (SOW) was submitted to BPA in October 2009 that outlined work to be performed by USGS-CRRL.  The SOW was organized by work elements, with each describing a research task.   This report summarizes the progress completed under each work element.\n","language":"English ","publisher":"Bonneville Power Administration","publisherLocation":"Portland, OR","usgsCitation":"Connolly, P., Jezorek, I., and Munz, C., 2010, Wind River water restoration, Annual report November 2008 to October 2009., 10 p.","productDescription":"10 p.","ipdsId":"IP-026263","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5864dd53e4b0cd2dabe7c1d9","contributors":{"authors":[{"text":"Connolly, P.J.","contributorId":70141,"corporation":false,"usgs":true,"family":"Connolly","given":"P.J.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jezorek, I.G.","contributorId":80913,"corporation":false,"usgs":true,"family":"Jezorek","given":"I.G.","affiliations":[],"preferred":false,"id":656708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munz, C.S.","contributorId":177697,"corporation":false,"usgs":false,"family":"Munz","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":656709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179292,"text":"70179292 - 2010 - Effectiveness of a redesigned water diversion using rock vortex weirs to enhance longitudinal connectivity for small Salmonids","interactions":[],"lastModifiedDate":"2016-12-27T14:06:00","indexId":"70179292","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of a redesigned water diversion using rock vortex weirs to enhance longitudinal connectivity for small Salmonids","docAbstract":"<p><span>For nearly 100 years, water diversions have affected fish passage in Beaver Creek, a tributary of the lower Methow River in north-central Washington State. From 2000 to 2004, four dam-style water diversions were replaced with a series of rock vortex weirs (RVWs). The weirs were designed to allow fish passage while maintaining the ability to divert water into irrigation canals. We observed the new appearance of three species (juvenile Chinook salmon </span><i>Oncorhynchus tshawytscha</i><span>, juvenile coho salmon </span><i>O. kisutch</i><span>, and mountain whitefish </span><i>Prosopium williamsoni</i><span>) upstream of the RVWs, indicating successful restoration of longitudinal connectivity. We used passive integrated transponder (PIT) tags and instream PIT tag interrogation systems during 2004–2007 to evaluate upstream passage of small salmonids (&lt;240 mm fork length) through one series of RVWs. We documented 109 upstream passage events by small salmonids through the series of RVWs; most of the events (81%) involved passage of rainbow trout </span><i>O. mykiss</i><span> or juvenile steelhead (anadromous rainbow trout). Small rainbow trout or steelhead ranging from 86 to 238 mm (adjusted fork length) were able to pass upstream through the RVWs, although a delay in fish passage at discharges below 0.32 m</span><sup>3</sup><span>/s was detected in comparison with nearby control sections.</span></p>","language":"English","publisher":"Taylor & Francis ","doi":"10.1577/M10-025.1","usgsCitation":"Martens, K.D., and Connolly, P., 2010, Effectiveness of a redesigned water diversion using rock vortex weirs to enhance longitudinal connectivity for small Salmonids: North American Journal of Fisheries Management, p. 1544-1552 , https://doi.org/10.1577/M10-025.1.","productDescription":"9 p. ","startPage":"1544","endPage":"1552 ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":475946,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1577/m10-025.1","text":"Publisher Index Page"},{"id":332562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Beaver Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.42938232421874,\n              48.27953734226008\n            ],\n            [\n              -120.42938232421874,\n              48.7000249460914\n            ],\n            [\n              -119.92675781249999,\n              48.7000249460914\n            ],\n            [\n              -119.92675781249999,\n              48.27953734226008\n            ],\n            [\n              -120.42938232421874,\n              48.27953734226008\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"58638bd5e4b0cd2dabe7beba","contributors":{"authors":[{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":656670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178656,"text":"70178656 - 2010 - Kinetics of selenium release in mine waste from the Meade Peak Phosphatic Shale, Phosphoria Formation, Wooley Valley, Idaho, USA","interactions":[],"lastModifiedDate":"2016-12-05T11:48:25","indexId":"70178656","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of selenium release in mine waste from the Meade Peak Phosphatic Shale, Phosphoria Formation, Wooley Valley, Idaho, USA","docAbstract":"<p id=\"simple-para.0065\">Phosphorite from the Meade Peak Phosphatic Shale member of the Permian Phosphoria Formation has been mined in southeastern Idaho since 1906. Dumps of waste rock from mining operations contain high concentrations of Se which readily leach into nearby streams and wetlands. While the most common mineralogical residence of Se in the phosphatic shale is elemental Se, Se(0), Se is also an integral component of sulfide phases (pyrite, sphalerite and vaesite–pyrite<sub>ss</sub>) in the waste rock. It may also be present as adsorbed selenate and/or selenite, and FeSe<sub>2</sub> and organo-selenides.</p><p id=\"simple-para.0070\">Se release from the waste rock has been observed in field and laboratory experiments. Release rates calculated from waste rock dump and column leachate solutions describe the net, overall Se release from all of the possible sources of Se listed above. In field studies, Se concentration in seepage water (pH 7.4–7.8) from the Wooley Valley Unit 4 dump ranges from 3600&nbsp;µg/L in May to 10&nbsp;µg/L by Sept. Surface water flow, <i>Q</i>, from the seep also declines over the summer, from 2&nbsp;L/s in May to 0.03&nbsp;L/s in Sept. Se flux ([Se]&nbsp;⁎&nbsp;<i>Q</i>) reaches a steady-state of &lt;&nbsp;150&nbsp;mg/day in 1–4&nbsp;months, depending upon the volume of <i>Q</i>. Se release (mg/L) follows a first order reaction with a rate constant, <strong class=\"boldFont\"><i>k</i></strong>,&nbsp;=&nbsp;1.35&nbsp;–&nbsp;6.35e−3&nbsp;h<sup>−&nbsp;1</sup> (11.8–55.6&nbsp;yr<sup>−&nbsp;1</sup>).</p><p id=\"simple-para.0075\">Laboratory experiments were performed with the waste shale in packed bed reactors; residence time varied from 0.09 to 400&nbsp;h and outlet pH&nbsp;∼&nbsp;7.5. Here, Se concentration increased with increasing residence time and release was modeled with a first order reaction with <strong class=\"boldFont\"><i>k&nbsp;</i></strong>=&nbsp;2.19e−3&nbsp;h<sup>−&nbsp;1</sup> (19.2&nbsp;yr<sup>−&nbsp;1</sup>).</p><p id=\"simple-para.0080\">Rate constants reported here fall within an order of magnitude of reported rate constants for oxidation of Se(0) formed by bacterial precipitation. This similarity among rate constants from both field and laboratory studies combined with the direct observation of Se(0) in waste shales of the Phosphoria Formation suggests that oxidation of Se(0) may control steady-state Se concentration in water draining the Wooley Valley waste dump.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2009.10.011","usgsCitation":"Stillings, L., and Amacher, M.C., 2010, Kinetics of selenium release in mine waste from the Meade Peak Phosphatic Shale, Phosphoria Formation, Wooley Valley, Idaho, USA: Chemical Geology, v. 269, no. 1-2, p. 113-123, https://doi.org/10.1016/j.chemgeo.2009.10.011.","productDescription":"11 p.","startPage":"113","endPage":"123","ipdsId":"IP-017597","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":331461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Wooley Valley","volume":"269","issue":"1-2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58468aece4b04fc80e5236d1","contributors":{"authors":[{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":654731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amacher, Michael C.","contributorId":44949,"corporation":false,"usgs":true,"family":"Amacher","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":654732,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70155834,"text":"70155834 - 2010 - Climate and terrestrial ecosystem change in the U.S. Rocky Mountains and upper Columbia basin: Historical and future perspectives for natural resource management","interactions":[],"lastModifiedDate":"2016-12-16T15:40:24","indexId":"70155834","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Climate and terrestrial ecosystem change in the U.S. Rocky Mountains and upper Columbia basin: Historical and future perspectives for natural resource management","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Park Service White Paper","language":"English","publisher":"National Park Service ","collaboration":"USFWS;NPS","usgsCitation":"Pederson, G.T., McWethy, D.B., Gray, S., Higuera, P.E., Littell, J.S., and Andrea J. Ray, 2010, Climate and terrestrial ecosystem change in the U.S. Rocky Mountains and upper Columbia basin: Historical and future perspectives for natural resource management, 97 p. .","productDescription":"97 p. ","startPage":"1","endPage":"96","ipdsId":"IP-022990","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306192,"type":{"id":15,"text":"Index Page"},"url":"https://irmafiles.nps.gov/reference/holding/419538"},{"id":332251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58550b87e4b02bdf681568bf","contributors":{"authors":[{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":566538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWethy, David B.","contributorId":146179,"corporation":false,"usgs":false,"family":"McWethy","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":566540,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gray, Stephen T. sgray@usgs.gov","contributorId":221,"corporation":false,"usgs":true,"family":"Gray","given":"Stephen T.","email":"sgray@usgs.gov","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":566543,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Higuera, Philip E.","contributorId":146180,"corporation":false,"usgs":false,"family":"Higuera","given":"Philip","email":"","middleInitial":"E.","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":566542,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":566541,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Andrea J. Ray","contributorId":146178,"corporation":false,"usgs":false,"family":"Andrea J. Ray","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":566539,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70043684,"text":"70043684 - 2010 - Wild Steelhead and introduced spring Chinook Salmon in the Wind River, Washington: Overlapping populations and interactions","interactions":[],"lastModifiedDate":"2016-12-27T13:14:21","indexId":"70043684","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wild Steelhead and introduced spring Chinook Salmon in the Wind River, Washington: Overlapping populations and interactions","docAbstract":"We investigated interactions of introduced juvenile spring Chinook salmon Oncorhynchus tshawytscha with wild juvenile steelhead O. mykiss in the upper Wind River watershed (rkm 24.6 to rkm 43.8), Washington. Our objective was to determine if the presence of introduced spring Chinook salmon influenced populations of wild juvenile steelhead and if other biotic or abiotic factors influenced distribution and populations of these species. We snorkeled to assess distribution and abundance in one to six stream reaches per year during 2001 through 2007. Juvenile steelhead were found in each sampled reach each year, but juvenile Chinook salmon were not. The upstream extent of distribution of juvenile Chinook salmon varied from rkm 29.7 to 42.5. Our analyses suggest that juvenile Chinook salmon distribution was much influenced by flow during the spawning season. Low flow appeared to limit access of escaped adult Chinook salmon to upper stream reaches. Abundance of juvenile Chinook salmon was also influenced by base flow during the previous year, with base flow occurring post spawn in late August or early September. There were no relationships between juvenile Chinook salmon abundance and number of Chinook salmon spawners, magnitude of winter flow that might scour redds, or abundance of juvenile steelhead. Abundance of age-0 steelhead was influenced primarily by the number of steelhead spawners the previous year, and abundance of age-1 steelhead was influenced primarily by abundance of age-0 steelhead the previous year. Juvenile steelhead abundance did not show a relationship with base or peak flows, nor with number of escaped Chinook salmon adults during the previous year. We did not detect a negative influence of the relatively low abundance of progeny of escaped Chinook salmon on juvenile steelhead abundance. This low abundance of juvenile Chinook salmon was persistent throughout our study and is likely a result of hatchery management and habitat conditions. Should one or both change in the future, the potential for negative interactions with wild steelhead could change.","language":"English ","publisher":" Bonneville Power Administration","publisherLocation":"Portland, OR","usgsCitation":"Jezorek, I., and Connolly, P., 2010, Wild Steelhead and introduced spring Chinook Salmon in the Wind River, Washington: Overlapping populations and interactions, 46 p. .","productDescription":"46 p. ","ipdsId":"IP-018867","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.8002700805664,\n              45.71744665139343\n            ],\n            [\n              -121.86721801757812,\n              45.764169971705535\n            ],\n            [\n              -121.92523956298828,\n              45.8149222464981\n            ],\n            [\n              -121.97742462158202,\n              45.86108578375662\n            ],\n            [\n              -121.98223114013673,\n              45.87542933874845\n            ],\n            [\n              -121.98274612426756,\n              45.883914199299284\n            ],\n            [\n              -121.97433471679689,\n              45.88283872530761\n            ],\n            [\n              -121.95837020874022,\n              45.8633570932563\n            ],\n            [\n              -121.9291877746582,\n              45.836932440121316\n            ],\n            [\n              -121.89640045166016,\n              45.812768608069824\n            ],\n            [\n              -121.86584472656251,\n              45.78859428734741\n            ],\n            [\n              -121.84043884277344,\n              45.766085990923074\n            ],\n            [\n              -121.81022644042969,\n              45.759140108157524\n            ],\n            [\n              -121.79237365722656,\n              45.73494252455993\n            ],\n            [\n              -121.7831039428711,\n              45.72511674980165\n            ],\n            [\n              -121.78688049316405,\n              45.71049471518719\n            ],\n            [\n              -121.80095672607422,\n              45.71480981187499\n            ],\n            [\n              -121.8002700805664,\n              45.71744665139343\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58638bd6e4b0cd2dabe7bec2","contributors":{"authors":[{"text":"Jezorek, I.G.","contributorId":80913,"corporation":false,"usgs":true,"family":"Jezorek","given":"I.G.","affiliations":[],"preferred":false,"id":656658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, P.J.","contributorId":70141,"corporation":false,"usgs":true,"family":"Connolly","given":"P.J.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656659,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180383,"text":"70180383 - 2010 - Comparison of XAD with other dissolved lignin isolation techniques and a compilation of analytical improvements for the analysis of lignin in aquatic settings","interactions":[],"lastModifiedDate":"2021-03-17T14:45:27.775028","indexId":"70180383","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of XAD with other dissolved lignin isolation techniques and a compilation of analytical improvements for the analysis of lignin in aquatic settings","docAbstract":"<p><span>This manuscript highlights numerous incremental improvements in dissolved lignin measurements over the nearly three decades since CuO oxidation of lignin phenols was first adapted for environmental samples. Intercomparison of the recovery efficiency of three common lignin phenol concentration and isolation techniques, namely XAD, C</span><sub>18</sub><span>with both CH</span><sub>3</sub><span>OH (C</span><sub>18</sub><span>M) and CH</span><sub>3</sub><span>CN (C</span><sub>18</sub><span>A) used independently for priming and elution steps, and tangential flow filtration (TFF) for a range of aquatic samples including fresh, estuarine and marine waters, was undertaken. With freshwater samples XAD8-1, C</span><sub>18</sub><span>M and TFF were all observed to recover ca. 80–90% of the lignin phenols and showed no fractionation effects with respect to diagnostic lignin parameters. With estuarine and marine samples more lignin phenols were recovered with C</span><sub>18</sub><span>M and XAD8-1 than TFF because of the increased prevalence of low molecular weight lignin phenols in marine influenced samples. For marine systems, differences were also observed between diagnostic lignin parameters isolated via TFF vs. C</span><sub>18</sub><span>M and XAD8-1 as a result of the high molecular weight lignin phenols being less degraded than the bulk. Therefore, it is recommended for future studies of marine systems that only one technique is utilized for ease of intercomparison within studies. It is suggested that for studies solely aimed at recovering bulk dissolved lignin in marine environments that C</span><sub>18</sub><span>M and XAD8-1 appear to be more suitable than TFF as they recover more lignin. Our results highlight that, for freshwater samples, all three common lignin phenol concentration and isolation techniques are comparable to whole water concentrated by rotary evaporation (i.e. not isolated) but, that for marine systems, the choice of concentration and isolation techniques needs to be taken into consideration with respect to both lignin concentration and diagnostic parameters. Finally, as the study highlights XAD8-1 to be a suitable method for the isolation of dissolved lignin phenols from aquatic systems (statistically indistinguishable from C</span><sub>18</sub><span>M, </span><i>P</i><span>&nbsp;&lt;&nbsp;0.1), lignin data representative of whole waters can be produced for IHSS reference materials or other XAD sample archives.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2010.02.004","usgsCitation":"Spencer, R., Aiken, G.R., Dyda, R.Y., Butler, K.D., Bergamaschi, B.A., and Hernes, P.J., 2010, Comparison of XAD with other dissolved lignin isolation techniques and a compilation of analytical improvements for the analysis of lignin in aquatic settings: Organic Geochemistry, v. 41, no. 5, p. 445-453, https://doi.org/10.1016/j.orggeochem.2010.02.004.","productDescription":"9 p.","startPage":"445","endPage":"453","ipdsId":"IP-019043","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":334289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58905ef3e4b072a7ac0cad49","contributors":{"authors":[{"text":"Spencer, Robert G. M.","contributorId":139731,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G. M.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":661471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":661467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dyda, Rachael Y.","contributorId":33966,"corporation":false,"usgs":true,"family":"Dyda","given":"Rachael","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":661470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Kenna D. 0000-0001-9604-4603 kebutler@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4603","contributorId":178885,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":661468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661466,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernes, Peter J.","contributorId":85311,"corporation":false,"usgs":true,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":661469,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70136166,"text":"70136166 - 2010 - A likelihood framework for joint estimation of salmon abundance and migratory timing using telemetric mark-recapture","interactions":[],"lastModifiedDate":"2018-04-21T13:19:43","indexId":"70136166","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A likelihood framework for joint estimation of salmon abundance and migratory timing using telemetric mark-recapture","docAbstract":"<p><span>Many fisheries for Pacific salmon&nbsp;</span><i>Oncorhynchus</i><span>&nbsp;spp. are actively managed to meet escapement goal objectives. In fisheries where the demand for surplus production is high, an extensive assessment program is needed to achieve the opposing objectives of allowing adequate escapement and fully exploiting the available surplus. Knowledge of abundance is a critical element of such assessment programs. Abundance estimation using mark&mdash;recapture experiments in combination with telemetry has become common in recent years, particularly within Alaskan river systems. Fish are typically captured and marked in the lower river while migrating in aggregations of individuals from multiple populations. Recapture data are obtained using telemetry receivers that are co-located with abundance assessment projects near spawning areas, which provide large sample sizes and information on population-specific mark rates. When recapture data are obtained from multiple populations, unequal mark rates may reflect a violation of the assumption of homogeneous capture probabilities. A common analytical strategy is to test the hypothesis that mark rates are homogeneous and combine all recapture data if the test is not significant. However, mark rates are often low, and a test of homogeneity may lack sufficient power to detect meaningful differences among populations. In addition, differences among mark rates may provide information that could be exploited during parameter estimation. We present a temporally stratified mark&mdash;recapture model that permits capture probabilities and migratory timing through the capture area to vary among strata. Abundance information obtained from a subset of populations after the populations have segregated for spawning is jointly modeled with telemetry distribution data by use of a likelihood function. Maximization of the likelihood produces estimates of the abundance and timing of individual populations migrating through the capture area, thus yielding substantially more information than the total abundance estimate provided by the conventional approach. The utility of the model is illustrated with data for coho salmon&nbsp;</span><i>O. kisutch</i><span>&nbsp;from the Kasilof River in south-central Alaska.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1577/M10-065.1","usgsCitation":"Bromaghin, J.F., Gates, K.S., and Palmer, D.E., 2010, A likelihood framework for joint estimation of salmon abundance and migratory timing using telemetric mark-recapture: North American Journal of Fisheries Management, v. 30, no. 6, p. 1385-1394, https://doi.org/10.1577/M10-065.1.","productDescription":"10 p.","startPage":"1385","endPage":"1394","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019925","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":296918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"54dd2b1ae4b08de9379b3246","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gates, Kenneth S.","contributorId":131106,"corporation":false,"usgs":false,"family":"Gates","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":537346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmer, Douglas E.","contributorId":131118,"corporation":false,"usgs":false,"family":"Palmer","given":"Douglas","email":"","middleInitial":"E.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":537347,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}