{"pageNumber":"749","pageRowStart":"18700","pageSize":"25","recordCount":46883,"records":[{"id":70037166,"text":"70037166 - 2010 - Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data","interactions":[],"lastModifiedDate":"2017-04-06T12:19:05","indexId":"70037166","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data","docAbstract":"<p id=\"\">The simulation of gross primary production (GPP) at various spatial and temporal scales remains a major challenge for quantifying the global carbon cycle. We developed a light use efficiency model, called EC-LUE, driven by only four variables: normalized difference vegetation index (NDVI), photosynthetically active radiation (PAR), air temperature, and the Bowen ratio of sensible to latent heat flux. The EC-LUE model may have the most potential to adequately address the spatial and temporal dynamics of GPP because its parameters (i.e., the potential light use efficiency and optimal plant growth temperature) are invariant across the various land cover types. However, the application of the previous EC-LUE model was hampered by poor prediction of Bowen ratio at the large spatial scale. In this study, we substituted the Bowen ratio with the ratio of evapotranspiration (ET) to net radiation, and revised the RS-PM (Remote Sensing-Penman Monteith) model for quantifying ET. Fifty-four eddy covariance towers, including various ecosystem types, were selected to calibrate and validate the revised RS-PM and EC-LUE models. The revised RS-PM model explained 82% and 68% of the observed variations of ET for all the calibration and validation sites, respectively. Using estimated ET as input, the EC-LUE model performed well in calibration and validation sites, explaining 75% and 61% of the observed GPP variation for calibration and validation sites respectively.</p><p id=\"\">Global patterns of ET and GPP at a spatial resolution of 0.5° latitude by 0.6° longitude during the years 2000–2003 were determined using the global MERRA dataset (Modern Era Retrospective-Analysis for Research and Applications) and MODIS (Moderate Resolution Imaging Spectroradiometer). The global estimates of ET and GPP agreed well with the other global models from the literature, with the highest ET and GPP over tropical forests and the lowest values in dry and high latitude areas. However, comparisons with observed GPP at eddy flux towers showed significant underestimation of ET and GPP due to lower net radiation of MERRA dataset. Applying a procedure to correct the systematic errors of global meteorological data would improve global estimates of GPP and ET. The revised RS-PM and EC-LUE models will provide the alternative approaches making it possible to map ET and GPP over large areas because (1) the model parameters are invariant across various land cover types and (2) all driving forces of the models may be derived from remote sensing data or existing climate observation networks.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.01.022","issn":"00344257","usgsCitation":"Yuan, W., Liu, S., Yu, G., Bonnefond, J., Chen, J., Davis, K., Desai, A., Goldstein, A.H., Gianelle, D., Rossi, F., Suyker, A., and Verma, S., 2010, Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data: Remote Sensing of Environment, v. 114, no. 7, p. 1416-1431, https://doi.org/10.1016/j.rse.2010.01.022.","productDescription":"16 p.","startPage":"1416","endPage":"1431","numberOfPages":"16","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245342,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217396,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.01.022"}],"volume":"114","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2946e4b0c8380cd5a7f7","contributors":{"authors":[{"text":"Yuan, W.","contributorId":35955,"corporation":false,"usgs":true,"family":"Yuan","given":"W.","email":"","affiliations":[],"preferred":false,"id":459689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":459695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, G.","contributorId":61198,"corporation":false,"usgs":true,"family":"Yu","given":"G.","email":"","affiliations":[],"preferred":false,"id":459693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonnefond, J.-M.","contributorId":70956,"corporation":false,"usgs":true,"family":"Bonnefond","given":"J.-M.","email":"","affiliations":[],"preferred":false,"id":459694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, J.","contributorId":104634,"corporation":false,"usgs":true,"family":"Chen","given":"J.","email":"","affiliations":[],"preferred":false,"id":459698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, K.","contributorId":54920,"corporation":false,"usgs":true,"family":"Davis","given":"K.","affiliations":[],"preferred":false,"id":459692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Desai, A.R.","contributorId":28835,"corporation":false,"usgs":true,"family":"Desai","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":459688,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldstein, Allen H.","contributorId":7452,"corporation":false,"usgs":true,"family":"Goldstein","given":"Allen","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":459687,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gianelle, D.","contributorId":47205,"corporation":false,"usgs":true,"family":"Gianelle","given":"D.","email":"","affiliations":[],"preferred":false,"id":459691,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rossi, F.","contributorId":103123,"corporation":false,"usgs":true,"family":"Rossi","given":"F.","affiliations":[],"preferred":false,"id":459696,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Suyker, A.E.","contributorId":42051,"corporation":false,"usgs":true,"family":"Suyker","given":"A.E.","affiliations":[],"preferred":false,"id":459690,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Verma, S.B.","contributorId":103890,"corporation":false,"usgs":true,"family":"Verma","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":459697,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70037168,"text":"70037168 - 2010 - Detecting the spatial and temporal variability of chlorophyll-a concentration and total suspended solids in Apalachicola Bay, Florida using MODIS imagery","interactions":[],"lastModifiedDate":"2019-06-17T15:27:47","indexId":"70037168","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Detecting the spatial and temporal variability of chlorophyll-<i>a</i> concentration and total suspended solids in Apalachicola Bay, Florida using MODIS imagery","title":"Detecting the spatial and temporal variability of chlorophyll-a concentration and total suspended solids in Apalachicola Bay, Florida using MODIS imagery","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Apalachicola Bay, Florida, accounts for 90% of Florida's and 10% of the nation's eastern oyster (<i>Crassostrea virginica</i>) harvesting. Chlorophyll-<i>a</i><span>&nbsp;</span>concentration and total suspended solids (TSS) are two important water quality variables, among other environmental factors such as salinity, for eastern oyster production in Apalachicola Bay. In this research, we developed regression models of the relationships between the reflectance of the Moderate-Resolution Imaging Spectroradiometer (MODIS) Terra 250&nbsp;m data and the two water quality variables based on the Bay-wide field data collected during 14–17 October 2002, a relatively dry period, and 3–5 April 2006, a relatively wet period, respectively. Then we selected the best regression models (highest coefficient of determination,<span>&nbsp;</span><i>R</i><span>&nbsp;</span><sup>2</sup>) to derive Bay-wide maps of chlorophyll-<i>a</i><span>&nbsp;</span>concentration and TSS for the two periods. The MODIS-derived maps revealed large spatial and temporal variations in chlorophyll-<i>a</i><span>&nbsp;</span>concentration and TSS across the entire Apalachicola Bay.</p></div></div>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160902893485","issn":"01431161","usgsCitation":"Wang, H., Hladik, C., Huang, W., Milla, K., Edmiston, L., Harwell, M., and Schalles, J., 2010, Detecting the spatial and temporal variability of chlorophyll-a concentration and total suspended solids in Apalachicola Bay, Florida using MODIS imagery: International Journal of Remote Sensing, v. 31, no. 2, p. 439-453, https://doi.org/10.1080/01431160902893485.","productDescription":"15 p.","startPage":"439","endPage":"453","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":245372,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Apalachicola Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.089111328125,\n              29.596147812456916\n            ],\n            [\n              -84.86801147460938,\n              29.596147812456916\n            ],\n            [\n              -84.86801147460938,\n              29.72264453862633\n            ],\n            [\n              -85.089111328125,\n              29.72264453862633\n            ],\n            [\n              -85.089111328125,\n              29.596147812456916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-01-08","publicationStatus":"PW","scienceBaseUri":"5059ff63e4b0c8380cd4f16b","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":140432,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":459708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, C.M.","contributorId":76974,"corporation":false,"usgs":true,"family":"Hladik","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":459706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, W.","contributorId":42748,"corporation":false,"usgs":true,"family":"Huang","given":"W.","email":"","affiliations":[],"preferred":false,"id":459705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milla, K.","contributorId":104313,"corporation":false,"usgs":true,"family":"Milla","given":"K.","email":"","affiliations":[],"preferred":false,"id":459710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edmiston, L.","contributorId":88982,"corporation":false,"usgs":true,"family":"Edmiston","given":"L.","affiliations":[],"preferred":false,"id":459707,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harwell, M.A.","contributorId":34362,"corporation":false,"usgs":true,"family":"Harwell","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":459704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schalles, J.F.","contributorId":99404,"corporation":false,"usgs":true,"family":"Schalles","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":459709,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037176,"text":"70037176 - 2010 - Soil organic carbon stocks in Alaska estimated with spatial and pedon data","interactions":[],"lastModifiedDate":"2017-04-05T14:09:00","indexId":"70037176","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Soil organic carbon stocks in Alaska estimated with spatial and pedon data","docAbstract":"<p><span>Temperatures in high-latitude ecosystems are increasing faster than the average rate of global warming, which may lead to a positive feedback for climate change by increasing the respiration rates of soil organic C. If a positive feedback is confirmed, soil C will represent a source of greenhouse gases that is not currently considered in international protocols to regulate C emissions. We present new estimates of the stocks of soil organic C in Alaska, calculated by linking spatial and field data developed by the USDA NRCS. The spatial data are from the State Soil Geographic database (STATSGO), and the field and laboratory data are from the National Soil Characterization Database, also known as the pedon database. The new estimates range from 32 to 53 Pg of soil organic C for Alaska, formed by linking the spatial and field data using the attributes of Soil Taxonomy. For modelers, we recommend an estimation method based on taxonomic subgroups with interpolation for missing areas, which yields an estimate of 48 Pg. This is a substantial increase over a magnitude of 13 Pg estimated from only the STATSGO data as originally distributed in 1994, but the increase reflects different estimation methods and is not a measure of the change in C on the landscape. Pedon samples were collected between 1952 and 2002, so the results do not represent a single point in time. The linked databases provide an improved basis for modeling the impacts of climate change on net ecosystem exchange.</span></p>","language":"English","publisher":"ACSESS","doi":"10.2136/sssaj2008.0404","issn":"03615995","usgsCitation":"Bliss, N.B., and Maursetter, J., 2010, Soil organic carbon stocks in Alaska estimated with spatial and pedon data: Soil Science Society of America Journal, v. 74, no. 2, p. 565-579, https://doi.org/10.2136/sssaj2008.0404.","productDescription":"15 p.","startPage":"565","endPage":"579","numberOfPages":"15","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":217081,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2008.0404"},{"id":244994,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9212e4b08c986b319c9e","contributors":{"authors":[{"text":"Bliss, Norman B. 0000-0003-2409-5211 bliss@usgs.gov","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":1921,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","email":"bliss@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":459755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maursetter, J.","contributorId":67336,"corporation":false,"usgs":true,"family":"Maursetter","given":"J.","email":"","affiliations":[],"preferred":false,"id":459754,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037178,"text":"70037178 - 2010 - Predicting the probability and volume of postwildfire debris flows in the intermountain western United States","interactions":[],"lastModifiedDate":"2019-07-10T13:05:18","indexId":"70037178","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the probability and volume of postwildfire debris flows in the intermountain western United States","docAbstract":"Empirical models to estimate the probability of occurrence and volume of postwildfire debris flows can be quickly implemented in a geographic information system (GIS) to generate debris-flow hazard maps either before or immediately following wildfires. Models that can be used to calculate the probability of debris-flow production from individual drainage basins in response to a given storm were developed using logistic regression analyses of a database from 388 basins located in 15 burned areas located throughout the U.S. Intermountain West. The models describe debris-flow probability as a function of readily obtained measures of areal burned extent, soil properties, basin morphology, and rainfall from short-duration and low-recurrence-interval convective rainstorms. A model for estimating the volume of material that may issue from a basin mouth in response to a given storm was developed using multiple linear regression analysis of a database from 56 basins burned by eight fires. This model describes debris-flow volume as a function of the basin gradient, aerial burned extent, and storm rainfall. Applications of a probability model and the volume model for hazard assessments are illustrated using information from the 2003 Hot Creek fire in central Idaho. The predictive strength of the approach in this setting is evaluated using information on the response of this fire to a localized thunderstorm in August 2003. The mapping approach presented here identifies those basins that are most prone to the largest debris-flow events and thus provides information necessary to prioritize areas for postfire erosion mitigation, warnings, and prefire management efforts throughout the Intermountain West.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"GSA","doi":"10.1130/B26459.1","issn":"00167606","usgsCitation":"Cannon, S., Gartner, J., Rupert, M., Michael, J.A., Rea, A.H., and Parrett, C., 2010, Predicting the probability and volume of postwildfire debris flows in the intermountain western United States: Geological Society of America Bulletin, v. 122, no. 1-2, p. 127-144, https://doi.org/10.1130/B26459.1.","productDescription":"18 p.","startPage":"127","endPage":"144","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":363,"text":"Landslide Hazards Program","active":false,"usgs":true}],"links":[{"id":245026,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217109,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B26459.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"122","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2009-09-25","publicationStatus":"PW","scienceBaseUri":"505a81d5e4b0c8380cd7b772","contributors":{"authors":[{"text":"Cannon, S.H.","contributorId":38154,"corporation":false,"usgs":true,"family":"Cannon","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":459764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, J.E.","contributorId":80098,"corporation":false,"usgs":true,"family":"Gartner","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":459768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rupert, M.G.","contributorId":24455,"corporation":false,"usgs":true,"family":"Rupert","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":459763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michael, J. A.","contributorId":48567,"corporation":false,"usgs":true,"family":"Michael","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":459766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rea, A. H.","contributorId":58301,"corporation":false,"usgs":true,"family":"Rea","given":"A.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":459767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parrett, C.","contributorId":43400,"corporation":false,"usgs":true,"family":"Parrett","given":"C.","email":"","affiliations":[],"preferred":false,"id":459765,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037181,"text":"70037181 - 2010 - Judging a brook by its cover: The relation between ecological condition of a stream and urban land cover in new England","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037181","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Judging a brook by its cover: The relation between ecological condition of a stream and urban land cover in new England","docAbstract":"The US Geological Survey conducted an urban land-use study in the New England Coastal Basins (NECB) area during 2001 to determine how urbanization relates to changes in the ecological condition of streams. Thirty sites were selected that differed in their level of watershed development (low to high). An urban intensity value was calculated for each site from 24 landscape variables. Together, these 30 values reppresented a gradient of urban intensity. Among various biological, chemical, and physical factors surveyed at each site, benthic invertebrate assemblages were sampled from stream riffles and also from multiple habitats along the length of the sampling reach. We use some of the NECB data to derive a four-variable urbanintensity index (NECB-UII), where each variable represents a distinct component of urbanization: increasing human presence, expanding infrastructure, landscape development, and riparian vegetation loss. Using the NECB-UII as a characterization of urbanization, we describe how landscape fragmentation occurs with urbanization and how changes in the invertebrate assemblages, represented by metrics of ecological condition, are related to urbanization. Metrics with a strong linear response included EPT taxa richness, percentage richness of non-insect taxa, and pollution-tolerance values. Additionally, we describe how these relations can help in estimating the expected condition of a stream for its level of urbanization, thereby establishing a baseline for evaluating possible affects from specific point-source stressors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1656/045.017.0103","issn":"10926194","usgsCitation":"Coles, J., Cuffney, T., McMahon, G., and Rosiu, C., 2010, Judging a brook by its cover: The relation between ecological condition of a stream and urban land cover in new England: Northeastern Naturalist, v. 17, no. 1, p. 29-48, https://doi.org/10.1656/045.017.0103.","startPage":"29","endPage":"48","numberOfPages":"20","costCenters":[],"links":[{"id":217141,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1656/045.017.0103"},{"id":245060,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4028e4b0c8380cd64b2b","contributors":{"authors":[{"text":"Coles, J.F.","contributorId":80257,"corporation":false,"usgs":true,"family":"Coles","given":"J.F.","affiliations":[],"preferred":false,"id":459780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, T. F.","contributorId":108134,"corporation":false,"usgs":true,"family":"Cuffney","given":"T. F.","affiliations":[],"preferred":false,"id":459783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, G.","contributorId":87263,"corporation":false,"usgs":true,"family":"McMahon","given":"G.","email":"","affiliations":[],"preferred":false,"id":459781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosiu, C. J.","contributorId":97034,"corporation":false,"usgs":true,"family":"Rosiu","given":"C. J.","affiliations":[],"preferred":false,"id":459782,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037183,"text":"70037183 - 2010 - Paradigms and proboscideans in the southern Great Lakes region, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037183","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Paradigms and proboscideans in the southern Great Lakes region, USA","docAbstract":"Thirteen new chronometric dates for Illinois proboscideans are considered in relation to well-dated pollen records from northeastern and central Illinois. These dates span an interval from 21,228 to 12,944 cal BP. When compared to pollen spectra, it is evident that Mammut americanum inhabited spruce (Picea) and black ash (Fraxinus nigra) forest during the B??lling-Aller??d (14,700-12,900 cal BP) and early Younger Dryas (12,900-11,650 cal BP) chronozones. Both Mammuthus jeffersonii and Mammuthus primigenius inhabited spruce dominated open-woodland during the Oldest Dryas chronozone, while M.??primigenius persisted in a forest of predominantly black ash during the Aller??d chronozone. A newly discovered specimen from Lincoln, IL, clarifies the taxonomic distinction between M. primigenius and M.??jeffersonii. Hitherto, a paradigm of proboscidean succession during the full- to late-glacial periods was based on the vegetation succession of steppe tundra-like vegetation to spruce forest to spruce-deciduous forest. The presumed proboscidean succession was that of cold, dry steppe-adapted M. primigenius succeeded by more mesic-tolerant M. jeffersonii that in turn was succeeded by the wet forest-adapted M.??americanum. Reported data do not support this view and indicate a need for re-evaluation of assumptions of proboscidean ecology and history, e.g., the environmental tolerances and habits of M.??primigenius in regions south of 55??N, and its dynamic relationship with other proboscidean taxa. ?? 2009 Elsevier Ltd and INQUA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.quaint.2009.07.031","issn":"10406182","usgsCitation":"Saunders, J., Grimm, E., Widga, C., Campbell, G., Curry, B.B., Grimley, D., Hanson, P., McCullum, J., Oliver, J., and Treworgy, J., 2010, Paradigms and proboscideans in the southern Great Lakes region, USA: Quaternary International, v. 217, no. 1-2, p. 175-187, https://doi.org/10.1016/j.quaint.2009.07.031.","startPage":"175","endPage":"187","numberOfPages":"13","costCenters":[],"links":[{"id":217167,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quaint.2009.07.031"},{"id":245088,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"217","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a74c2e4b0c8380cd777f4","contributors":{"authors":[{"text":"Saunders, J.J.","contributorId":72598,"corporation":false,"usgs":true,"family":"Saunders","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":459793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grimm, E.C.","contributorId":88136,"corporation":false,"usgs":true,"family":"Grimm","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":459794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widga, C.C.","contributorId":98146,"corporation":false,"usgs":true,"family":"Widga","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":459796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, G.D.","contributorId":25014,"corporation":false,"usgs":true,"family":"Campbell","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":459790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curry, B. Brandon","contributorId":104224,"corporation":false,"usgs":true,"family":"Curry","given":"B.","email":"","middleInitial":"Brandon","affiliations":[],"preferred":false,"id":459797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grimley, D.A.","contributorId":18530,"corporation":false,"usgs":true,"family":"Grimley","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":459789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, P.R.","contributorId":45434,"corporation":false,"usgs":true,"family":"Hanson","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":459792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCullum, J.P.","contributorId":93733,"corporation":false,"usgs":true,"family":"McCullum","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":459795,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Oliver, J.S.","contributorId":17073,"corporation":false,"usgs":true,"family":"Oliver","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":459788,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Treworgy, J.D.","contributorId":39145,"corporation":false,"usgs":true,"family":"Treworgy","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":459791,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70037195,"text":"70037195 - 2010 - Spectral assessment of new ASTER SWIR surface reflectance data products for spectroscopic mapping of rocks and minerals","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037195","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Spectral assessment of new ASTER SWIR surface reflectance data products for spectroscopic mapping of rocks and minerals","docAbstract":"ASTER reflectance spectra from Cuprite, Nevada, and Mountain Pass, California, were compared to spectra of field samples and to ASTER-resampled AVIRIS reflectance data to determine spectral accuracy and spectroscopic mapping potential of two new ASTER SWIR reflectance datasets: RefL1b and AST_07XT. RefL1b is a new reflectance dataset produced for this study using ASTER Level 1B data, crosstalk correction, radiance correction factors, and concurrently acquired level 2 MODIS water vapor data. The AST_07XT data product, available from EDC and ERSDAC, incorporates crosstalk correction and non-concurrently acquired MODIS water vapor data for atmospheric correction. Spectral accuracy was determined using difference values which were compiled from ASTER band 5/6 and 9/8 ratios of AST_07XT or RefL1b data subtracted from similar ratios calculated for field sample and AVIRIS reflectance data. In addition, Spectral Analyst, a statistical program that utilizes a Spectral Feature Fitting algorithm, was used to quantitatively assess spectral accuracy of AST_07XT and RefL1b data.Spectral Analyst matched more minerals correctly and had higher scores for the RefL1b data than for AST_07XT data. The radiance correction factors used in the RefL1b data corrected a low band 5 reflectance anomaly observed in the AST_07XT and AST_07 data but also produced anomalously high band 5 reflectance in RefL1b spectra with strong band 5 absorption for minerals, such as alunite. Thus, the band 5 anomaly seen in the RefL1b data cannot be corrected using additional gain adjustments. In addition, the use of concurrent MODIS water vapor data in the atmospheric correction of the RefL1b data produced datasets that had lower band 9 reflectance anomalies than the AST_07XT data. Although assessment of spectral data suggests that RefL1b data are more consistent and spectrally more correct than AST_07XT data, the Spectral Analyst results indicate that spectral discrimination between some minerals, such as alunite and kaolinite, are still not possible unless additional spectral calibration using site specific spectral data are performed. ?? 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.rse.2010.04.008","issn":"00344257","usgsCitation":"Mars, J., and Rowan, L.C., 2010, Spectral assessment of new ASTER SWIR surface reflectance data products for spectroscopic mapping of rocks and minerals: Remote Sensing of Environment, v. 114, no. 9, p. 2011-2025, https://doi.org/10.1016/j.rse.2010.04.008.","startPage":"2011","endPage":"2025","numberOfPages":"15","costCenters":[],"links":[{"id":245312,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217368,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.04.008"}],"volume":"114","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9537e4b08c986b31ade3","contributors":{"authors":[{"text":"Mars, J.C.","contributorId":74833,"corporation":false,"usgs":true,"family":"Mars","given":"J.C.","affiliations":[],"preferred":false,"id":459845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowan, L. C.","contributorId":40584,"corporation":false,"usgs":true,"family":"Rowan","given":"L.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":459844,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037198,"text":"70037198 - 2010 - Reclaimed mineland curve number response to temporal distribution of rainfall","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037198","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reclaimed mineland curve number response to temporal distribution of rainfall","docAbstract":"The curve number (CN) method is a common technique to estimate runoff volume, and it is widely used in coal mining operations such as those in the Appalachian region of Kentucky. However, very little CN data are available for watersheds disturbed by surface mining and then reclaimed using traditional techniques. Furthermore, as the CN method does not readily account for variations in infiltration rates due to varying rainfall distributions, the selection of a single CN value to encompass all temporal rainfall distributions could lead engineers to substantially under- or over-size water detention structures used in mining operations or other land uses such as development. Using rainfall and runoff data from a surface coal mine located in the Cumberland Plateau of eastern Kentucky, CNs were computed for conventionally reclaimed lands. The effects of temporal rainfall distributions on CNs was also examined by classifying storms as intense, steady, multi-interval intense, or multi-interval steady. Results indicate that CNs for such reclaimed lands ranged from 62 to 94 with a mean value of 85. Temporal rainfall distributions were also shown to significantly affect CN values with intense storms having significantly higher CNs than multi-interval storms. These results indicate that a period of recovery is present between rainfall bursts of a multi-interval storm that allows depressional storage and infiltration rates to rebound. ?? 2010 American Water Resources Association.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2010.00444.x","issn":"1093474X","usgsCitation":"Warner, R., Agouridis, C., Vingralek, P., and Fogle, A., 2010, Reclaimed mineland curve number response to temporal distribution of rainfall: Journal of the American Water Resources Association, v. 46, no. 4, p. 724-732, https://doi.org/10.1111/j.1752-1688.2010.00444.x.","startPage":"724","endPage":"732","numberOfPages":"9","costCenters":[],"links":[{"id":245345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217399,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2010.00444.x"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-26","publicationStatus":"PW","scienceBaseUri":"505a9670e4b0c8380cd81fbe","contributors":{"authors":[{"text":"Warner, R.C.","contributorId":95304,"corporation":false,"usgs":true,"family":"Warner","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":459859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agouridis, C.T.","contributorId":79338,"corporation":false,"usgs":true,"family":"Agouridis","given":"C.T.","affiliations":[],"preferred":false,"id":459858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vingralek, P.T.","contributorId":101922,"corporation":false,"usgs":true,"family":"Vingralek","given":"P.T.","email":"","affiliations":[],"preferred":false,"id":459861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fogle, A.W.","contributorId":96051,"corporation":false,"usgs":true,"family":"Fogle","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":459860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037200,"text":"70037200 - 2010 - Structural analysis of three extensional detachment faults with data from the 2000 Space-Shuttle Radar Topography Mission","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037200","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"Structural analysis of three extensional detachment faults with data from the 2000 Space-Shuttle Radar Topography Mission","docAbstract":"The Space-Shuttle Radar Topography Mission provided geologists with a detailed digital elevation model of most of Earth's land surface. This new database is used here for structural analysis of grooved surfaces interpreted to be the exhumed footwalls of three active or recently active extensional detachment faults. Exhumed fault footwalls, each with an areal extent of one hundred to several hundred square kilometers, make up much of Dayman dome in eastern Papua New Guinea, the western Gurla Mandhata massif in the central Himalaya, and the northern Tokorondo Mountains in central Sulawesi, Indonesia. Footwall curvature in profile varies from planar to slightly convex upward at Gurla Mandhata to strongly convex upward at northwestern Dayman dome. Fault curvature decreases away from the trace of the bounding detachment fault in western Dayman dome and in the Tokorondo massif, suggesting footwall flattening (reduction in curvature) following exhumation. Grooves of highly variable wavelength and amplitude reveal extension direction, although structural processes of groove genesis may be diverse.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Today","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/GSATG59A.1","issn":"10525173","usgsCitation":"Spencer, J., 2010, Structural analysis of three extensional detachment faults with data from the 2000 Space-Shuttle Radar Topography Mission: GSA Today, v. 20, no. 8, p. 4-10, https://doi.org/10.1130/GSATG59A.1.","startPage":"4","endPage":"10","numberOfPages":"7","costCenters":[],"links":[{"id":245375,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217428,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GSATG59A.1"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9bc2e4b08c986b31d089","contributors":{"authors":[{"text":"Spencer, J.E.","contributorId":91542,"corporation":false,"usgs":true,"family":"Spencer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":459866,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037201,"text":"70037201 - 2010 - Evaluation of the use of performance reference compounds in an oasis-HLB adsorbent based passive sampler for improving water concentration estimates of polar herbicides in freshwater","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70037201","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the use of performance reference compounds in an oasis-HLB adsorbent based passive sampler for improving water concentration estimates of polar herbicides in freshwater","docAbstract":"Passive samplers such as the Polar Organic Chemical Integrative Sampler (POCIS) are useful tools for monitoring trace levels of polar organic chemicals in aquatic environments. The use of performance reference compounds (PRC) spiked into the POCIS adsorbent for in situ calibration may improve the semiquantitative nature of water concentration estimates based on this type of sampler. In this work, deuterium labeled atrazine-desisopropyl (DIA-d5) was chosen as PRC because of its relatively high fugacity from Oasis HLB (the POCIS adsorbent used) and our earlier evidence of its isotropic exchange. In situ calibration of POCIS spiked with DIA-d5was performed, and the resulting time-weighted average concentration estimates were compared with similar values from an automatic sampler equipped with Oasis HLB cartridges. Before PRC correction, water concentration estimates based on POCIS data sampling ratesfrom a laboratory calibration exposure were systematically lower than the reference concentrations obtained with the automatic sampler. Use of the DIA-d5 PRC data to correct POCIS sampling rates narrowed differences between corresponding values derived from the two methods. Application of PRCs for in situ calibration seems promising for improving POCIS-derived concentration estimates of polar pesticides. However, careful attention must be paid to the minimization of matrix effects when the quantification is performed by HPLC-ESI-MS/MS. ?? 2010 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es902256m","issn":"0013936X","usgsCitation":"Mazzella, N., Lissalde, S., Moreira, S., Delmas, F., Mazellier, P., and Huckins, J., 2010, Evaluation of the use of performance reference compounds in an oasis-HLB adsorbent based passive sampler for improving water concentration estimates of polar herbicides in freshwater: Environmental Science & Technology, v. 44, no. 5, p. 1713-1719, https://doi.org/10.1021/es902256m.","startPage":"1713","endPage":"1719","numberOfPages":"7","costCenters":[],"links":[{"id":216995,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es902256m"},{"id":244902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-01-28","publicationStatus":"PW","scienceBaseUri":"505a0cf8e4b0c8380cd52d82","contributors":{"authors":[{"text":"Mazzella, N.","contributorId":63244,"corporation":false,"usgs":true,"family":"Mazzella","given":"N.","email":"","affiliations":[],"preferred":false,"id":459871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lissalde, S.","contributorId":21789,"corporation":false,"usgs":true,"family":"Lissalde","given":"S.","email":"","affiliations":[],"preferred":false,"id":459867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moreira, S.","contributorId":60473,"corporation":false,"usgs":true,"family":"Moreira","given":"S.","email":"","affiliations":[],"preferred":false,"id":459869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delmas, F.","contributorId":74984,"corporation":false,"usgs":true,"family":"Delmas","given":"F.","email":"","affiliations":[],"preferred":false,"id":459872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazellier, P.","contributorId":46797,"corporation":false,"usgs":true,"family":"Mazellier","given":"P.","email":"","affiliations":[],"preferred":false,"id":459868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huckins, J.N.","contributorId":62553,"corporation":false,"usgs":true,"family":"Huckins","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":459870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037202,"text":"70037202 - 2010 - River solute fluxes reflecting active hydrothermal chemical weathering of the Yellowstone Plateau Volcanic Field, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70037202","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":"River solute fluxes reflecting active hydrothermal chemical weathering of the Yellowstone Plateau Volcanic Field, USA","docAbstract":"In the past few decades numerous studies have quantified the load of dissolved solids in large rivers to determine chemical weathering rates in orogenic belts and volcanic areas, mainly motivated by the notion that over timescales greater than ~100kyr, silicate hydrolysis may be the dominant sink for atmospheric CO2, thus creating a feedback between climate and weathering. Here, we report the results of a detailed study during water year 2007 (October 1, 2006 to September 30, 2007) in the major rivers of the Yellowstone Plateau Volcanic Field (YPVF) which hosts Earth's largest \"restless\" caldera and over 10,000 thermal features. The chemical compositions of rivers that drain thermal areas in the YPVF differ significantly from the compositions of rivers that drain non-thermal areas. There are large seasonal variations in river chemistry and solute flux, which increases with increasing water discharge. The river chemistry and discharge data collected periodically over an entire year allow us to constrain the annual solute fluxes and to distinguish between low-temperature weathering and hydrothermal flux components. The TDS flux from Yellowstone Caldera in water year 2007 was 93t/km2/year. Extensive magma degassing and hydrothermal interaction with rocks accounts for at least 82% of this TDS flux, 83% of the cation flux and 72% of the HCO3- flux. The low-temperature chemical weathering rate (17t/km2/year), calculated on the assumption that all the Cl- is of thermal origin, could include a component from low-temperature hydrolysis reactions induced by CO2 ascending from depth rather than by atmospheric CO2. Although this uncertainty remains, the calculated low-temperature weathering rate of the young rhyolitic rocks in the Yellowstone Caldera is comparable to the world average of large watersheds that drain also more soluble carbonates and evaporates but is slightly lower than calculated rates in other, less-silicic volcanic regions. Long-term average fluxes at Yellowstone are likely ~20% higher than those in the abnormally dry water year 2007, but the protocol used in this study can be easily adaptable to track future changes in low-temperature weathering and hydrothermal flux components, which could provide better monitoring of magmatic unrest. ?? 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2010.07.001","issn":"00092541","usgsCitation":"Hurwitz, S., Evans, W.C., and Lowenstern, J.B., 2010, River solute fluxes reflecting active hydrothermal chemical weathering of the Yellowstone Plateau Volcanic Field, USA: Chemical Geology, v. 276, no. 3-4, p. 331-343, https://doi.org/10.1016/j.chemgeo.2010.07.001.","startPage":"331","endPage":"343","numberOfPages":"13","costCenters":[],"links":[{"id":216996,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2010.07.001"},{"id":244903,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"276","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aadb8e4b0c8380cd86f6c","contributors":{"authors":[{"text":"Hurwitz, S.","contributorId":61110,"corporation":false,"usgs":true,"family":"Hurwitz","given":"S.","email":"","affiliations":[],"preferred":false,"id":459874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, William C.","contributorId":104903,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":459875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, J. B.","contributorId":7737,"corporation":false,"usgs":true,"family":"Lowenstern","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":459873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037207,"text":"70037207 - 2010 - Land-use pressure and a transition to forest-cover loss in the Eastern United States","interactions":[],"lastModifiedDate":"2017-04-05T14:17:02","indexId":"70037207","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Land-use pressure and a transition to forest-cover loss in the Eastern United States","docAbstract":"<p><span>Contemporary land-use pressures have a significant impact on the extent and condition of forests in the eastern United States, causing a regional-scale decline in forest cover. Earlier in the 20th century, land cover was on a trajectory of forest expansion that followed agricultural abandonment. However, the potential for forest regeneration has slowed, and the extent of regional forest cover has declined by more than 4.0%. Using remote-sensing data, statistical sampling, and change-detection methods, this research shows how land conversion varies spatially and temporally across the East from 1973–2000, and how those changes affect regional land-change dynamics. The analysis shows that agricultural land use has continued to decline, and that this enables forest recovery; however, an important land-cover transition has occurred, from a mode of regional forest-cover gain to one of forest-cover loss caused by timber cutting cycles, urbanization, and other land-use demands.</span></p>","language":"English","publisher":"American Institute of Biological Sciences","doi":"10.1525/bio.2010.60.4.7","issn":"00063568","usgsCitation":"Drummond, M.A., and Loveland, T.R., 2010, Land-use pressure and a transition to forest-cover loss in the Eastern United States: BioScience, v. 60, no. 4, p. 286-298, https://doi.org/10.1525/bio.2010.60.4.7.","productDescription":"13 p.","startPage":"286","endPage":"298","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217054,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/bio.2010.60.4.7"}],"volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43c1e4b0c8380cd665bd","contributors":{"authors":[{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":459902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":459903,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037227,"text":"70037227 - 2010 - Carbon dioxide emission factors for U.S. coal by origin and destination","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037227","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide emission factors for U.S. coal by origin and destination","docAbstract":"This paper describes a method that uses published data to calculate locally robust CO<sub>2</sub> emission factors for U.S. coal. The method is demonstrated by calculating CO<sub>2</sub> emission factors by coal origin (223 counties, in 1999) and destination (479 power plants, in 2005). Locally robust CO<sub>2</sub> emission factors should improve the accuracy and verification of greenhouse gas emission measurements from individual coal-fired power plants. Based largely on the county origin, average emission factors for U.S. lignite, subbituminous, bituminous, and anthracite coal produced during 1999 were 92.97,91.97,88.20, and 98.91 kg CO<sub>2</sub>/GJ<sub>gross</sub>, respectively. However, greater variation is observed within these rank classes than between them, which limits the reliability of CO<sub>2</sub> emission factors specified by coal rank. Emission factors calculated by destination (power plant) showed greater variation than those listed in the Emissions &amp; Generation Resource Integrated Database (eGRID), which exhibit an unlikely uniformity that is inconsistent with the natural variation of CO<sub>2</sub> emission factors for U.S. coal. ?? 2010 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es9027259","issn":"0013936X","usgsCitation":"Quick, J., 2010, Carbon dioxide emission factors for U.S. coal by origin and destination: Environmental Science & Technology, v. 44, no. 7, p. 2709-2714, https://doi.org/10.1021/es9027259.","startPage":"2709","endPage":"2714","numberOfPages":"6","costCenters":[],"links":[{"id":217341,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9027259"},{"id":245284,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-03-16","publicationStatus":"PW","scienceBaseUri":"5059f35fe4b0c8380cd4b761","contributors":{"authors":[{"text":"Quick, J.C.","contributorId":80848,"corporation":false,"usgs":true,"family":"Quick","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":459977,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037231,"text":"70037231 - 2010 - Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods","interactions":[],"lastModifiedDate":"2018-03-08T13:02:07","indexId":"70037231","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods","docAbstract":"<p><span>A prototype method was developed to update the U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001 to a nominal date of 2006. NLCD 2001 is widely used as a baseline for national land cover and impervious cover conditions. To enable the updating of this database in an optimal manner, methods are designed to be accomplished by individual Landsat scene. Using conservative change thresholds based on land cover classes, areas of change and no-change were segregated from change vectors calculated from normalized Landsat scenes from 2001 and 2006. By sampling from NLCD 2001 impervious surface in unchanged areas, impervious surface predictions were estimated for changed areas within an urban extent defined by a companion land cover classification. Methods were developed and tested for national application across six study sites containing a variety of urban impervious surface. Results show the vast majority of impervious surface change associated with urban development was captured, with overall RMSE from 6.86 to 13.12% for these areas. Changes of urban development density were also evaluated by characterizing the categories of change by percentile for impervious surface. This prototype method provides a relatively low cost, flexible approach to generate updated impervious surface using NLCD 2001 as the baseline.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.02.018","issn":"00344257","usgsCitation":"Xian, G., and Homer, C.G., 2010, Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 using Landsat imagery change detection methods: Remote Sensing of Environment, v. 114, no. 8, p. 1676-1686, https://doi.org/10.1016/j.rse.2010.02.018.","productDescription":"11 p.","startPage":"1676","endPage":"1686","numberOfPages":"11","ipdsId":"IP-016198","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245347,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217401,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.02.018"}],"volume":"114","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbd1ee4b08c986b328ed4","contributors":{"authors":[{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":459986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":459985,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037251,"text":"70037251 - 2010 - The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037251","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States","docAbstract":"I analyze the sensitivity of seismic-hazard estimates in the central and eastern United States (CEUS) to maximum magnitude (m<sub>max</sub>) by exercising the U.S. Geological Survey (USGS) probabilistic hazard model with several m<sub>max</sub> alternatives. Seismicity-based sources control the hazard in most of the CEUS, but data seldom provide an objective basis for estimating m<sub>max</sub>. The USGS uses preferred m<sub>max</sub> values of moment magnitude 7.0 and 7.5 for the CEUS craton and extended margin, respectively, derived from data in stable continental regions worldwide. Other approaches, for example analysis of local seismicity or judgment about a source's seismogenic potential, often lead to much smaller m<sub>max</sub>. Alternative models span the m<sub>max</sub> ranges from the 1980s Electric Power Research Institute/Seismicity Owners Group (EPRI/SOG) analysis. Results are presented as haz-ard ratios relative to the USGS national seismic hazard maps. One alternative model specifies m<sub>max</sub> equal to moment magnitude 5.0 and 5.5 for the craton and margin, respectively, similar to EPRI/SOG for some sources. For 2% probability of exceedance in 50 years (about 0.0004 annual probability), the strong m<sub>max</sub> truncation produces hazard ratios equal to 0.35-0.60 for 0.2-sec spectral acceleration, and 0.15-0.35 for 1.0-sec spectral acceleration. Hazard-controlling earthquakes interact with m<sub>max</sub> in complex ways. There is a relatively weak dependence on probability level: hazardratios increase 0-15% for 0.002 annual exceedance probability and decrease 5-25% for 0.00001 annual exceedance probability. Although differences at some sites are tempered when faults are added, m<sub>max</sub> clearly accounts for some of the discrepancies that are seen in comparisons between USGS-based and EPRI/SOG-based hazard results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090114","issn":"00371106","usgsCitation":"Mueller, C., 2010, The influence of maximum magnitude on seismic-hazard estimates in the Central and Eastern United States: Bulletin of the Seismological Society of America, v. 100, no. 2, p. 699-711, https://doi.org/10.1785/0120090114.","startPage":"699","endPage":"711","numberOfPages":"13","costCenters":[],"links":[{"id":217256,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090114"},{"id":245187,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-15","publicationStatus":"PW","scienceBaseUri":"505bad2ee4b08c986b323a30","contributors":{"authors":[{"text":"Mueller, C.S.","contributorId":45310,"corporation":false,"usgs":true,"family":"Mueller","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":460084,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037261,"text":"70037261 - 2010 - Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037261","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning","docAbstract":"Many theoretical and laboratory studies have been undertaken to understand debris-flow processes and their associated hazards. However, complete and quantitative data sets from natural debris flows needed for confirmation of these results are limited. We used a novel combination of in situ measurements of debris-flow dynamics, video imagery, and pre- and postflow 2-cm-resolution digital terrain models to study a natural debris-flow event. Our field data constrain the initial and final reach morphology and key flow dynamics. The observed event consisted of multiple surges, each with clear variation of flow properties along the length of the surge. Steep, highly resistant, surge fronts of coarse-grained material without measurable pore-fluid pressure were pushed along by relatively fine-grained and water-rich tails that had a wide range of pore-fluid pressures (some two times greater than hydrostatic). Surges with larger nonequilibrium pore-fluid pressures had longer travel distances. A wide range of travel distances from different surges of similar size indicates that dynamic flow properties are of equal or greater importance than channel properties in determining where a particular surge will stop. Progressive vertical accretion of multiple surges generated the total thickness of mapped debris-flow deposits; nevertheless, deposits had massive, vertically unstratified sedimentological textures. ?? 2010 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G30928.1","issn":"00917613","usgsCitation":"McCoy, S., Kean, J., Coe, J.A., Staley, D., Wasklewicz, T., and Tucker, G., 2010, Evolution of a natural debris flow: In situ measurements of flow dynamics, video imagery, and terrestrial laser scanning: Geology, v. 38, no. 8, p. 735-738, https://doi.org/10.1130/G30928.1.","startPage":"735","endPage":"738","numberOfPages":"4","costCenters":[],"links":[{"id":245349,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217403,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30928.1"}],"volume":"38","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d7ce4b0c8380cd5304a","contributors":{"authors":[{"text":"McCoy, S.W.","contributorId":74608,"corporation":false,"usgs":true,"family":"McCoy","given":"S.W.","affiliations":[],"preferred":false,"id":460139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, J. W. 0000-0003-3089-0369","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":71679,"corporation":false,"usgs":true,"family":"Kean","given":"J. W.","affiliations":[],"preferred":false,"id":460138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, D.M.","contributorId":17851,"corporation":false,"usgs":true,"family":"Staley","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":460136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wasklewicz, T.A.","contributorId":64922,"corporation":false,"usgs":true,"family":"Wasklewicz","given":"T.A.","affiliations":[],"preferred":false,"id":460137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, G.E.","contributorId":102992,"corporation":false,"usgs":true,"family":"Tucker","given":"G.E.","affiliations":[],"preferred":false,"id":460140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037262,"text":"70037262 - 2010 - Empirical evaluation of predator-driven diel vertical migration in Lake Superior","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037262","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Empirical evaluation of predator-driven diel vertical migration in Lake Superior","docAbstract":"Recent studies on Lake Superior suggest that diel vertical migration (DVM) of prey (generalized Coregonus spp.) may be influenced by the density of predatory siscowet (Salvelinus namaycush). We empirically evaluated this hypothesis using data from acoustic, midwater trawl, and bottom trawl sampling at eight Lake Superior sites during three seasons in 2005 and a subset of sites in 2006. We expected the larger-bodied cisco (Coregonus artedi) to exhibit a shallower DVM compared with the smaller-bodied kiyi (Coregonus kiyi). Although DVM of kiyi and cisco were consistent with expectations of DVM as a size-dependent, predator-mediated process, we found no relationship between siscowet density and the magnitude of DVM of either coregonid. Cisco appear to have a size refuge from siscowet predation. Kiyi and siscowet co-occur in demersal habitat > 150 m during the day, where visual predation is unlikely, suggesting predator avoidance is not a factor in the daytime distribution of kiyi. Seasonal patterns of kiyi DVM were consistent with reported DVM of their primary prey Mysis relicta. Our results suggest that consideration of nonvisual foraging, rather than lightbased foraging theory (i.e., the antipredation window), is necessary to understand the processes driving DVM in deepwater systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/F09-198","issn":"0706652X","usgsCitation":"Stockwell, J., Hrabik, T., Jensen, O., Yule, D., and Balge, M., 2010, Empirical evaluation of predator-driven diel vertical migration in Lake Superior: Canadian Journal of Fisheries and Aquatic Sciences, v. 67, no. 3, p. 473-485, https://doi.org/10.1139/F09-198.","startPage":"473","endPage":"485","numberOfPages":"13","costCenters":[],"links":[{"id":217431,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/F09-198"},{"id":245378,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0908e4b0c8380cd51d84","contributors":{"authors":[{"text":"Stockwell, J.D.","contributorId":19678,"corporation":false,"usgs":true,"family":"Stockwell","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":460142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hrabik, T.R.","contributorId":95250,"corporation":false,"usgs":true,"family":"Hrabik","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":460144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jensen, O.P.","contributorId":15865,"corporation":false,"usgs":true,"family":"Jensen","given":"O.P.","email":"","affiliations":[],"preferred":false,"id":460141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, D.L.","contributorId":78853,"corporation":false,"usgs":true,"family":"Yule","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":460143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balge, M.","contributorId":105920,"corporation":false,"usgs":true,"family":"Balge","given":"M.","affiliations":[],"preferred":false,"id":460145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037286,"text":"70037286 - 2010 - Quantifying restoration success and recovery in a metal-polluted stream: A 17-year assessment of physicochemical and biological responses","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037286","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying restoration success and recovery in a metal-polluted stream: A 17-year assessment of physicochemical and biological responses","docAbstract":"Evaluating the effectiveness of stream restoration is often challenging because of the lack of pre-treatment data, narrow focus on physicochemical measures and insufficient post-restoration monitoring. Even when these fundamental elements are present, quantifying restoration success is difficult because of the challenges associated with distinguishing treatment effects from seasonal variation, episodic events and long-term climatic changes.2. We report results of one of the most comprehensive and continuous records of physical, chemical and biological data available to assess restoration success for a stream ecosystem in North America. Over a 17 year period we measured seasonal and annual changes in metal concentrations, physicochemical characteristics, macroinvertebrate communities, and brown trout Salmo trutta populations in the Arkansas River, a metal-contaminated stream in Colorado, USA.3. Although we observed significant improvements in water quality after treatment, the effectiveness of restoration varied temporally, spatially and among biological response variables. The fastest recovery was observed at stations where restoration eliminated point sources of metal contamination. Recovery of macroinvertebrates was significantly delayed at some stations because of residual sediment contamination and because extreme seasonal and episodic variation in metal concentrations prevented recolonization by sensitive species. Synthesis and applications. Because recovery trajectories after the removal of a stressor are often complex or nonlinear, long-term studies are necessary to assess restoration success within the context of episodic events and changes in regional climate. The observed variation in recovery among chemical and biological endpoints highlights the importance of developing objective criteria to assess restoration success. Although the rapid response of macroinvertebrates to reduced metal concentrations is encouraging, we have previously demonstrated that benthic communities from the Arkansas River remained susceptible to other novel anthropogenic stressors. We suggest that the resistance or resilience of benthic macroinvertebrate communities to novel stressors may be effective indicators of restoration success that can account for the non-additive (e.g. synergistic) nature of compound perturbations. ?? 2010 The Authors. Journal compilation ?? 2010 British Ecological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2664.2010.01838.x","issn":"00218901","usgsCitation":"Clements, W., Vieira, N., and Church, S.E., 2010, Quantifying restoration success and recovery in a metal-polluted stream: A 17-year assessment of physicochemical and biological responses: Journal of Applied Ecology, v. 47, no. 4, p. 899-910, https://doi.org/10.1111/j.1365-2664.2010.01838.x.","startPage":"899","endPage":"910","numberOfPages":"12","costCenters":[],"links":[{"id":475855,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2010.01838.x","text":"Publisher Index Page"},{"id":217318,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2010.01838.x"},{"id":245256,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-06-29","publicationStatus":"PW","scienceBaseUri":"505a91dae4b0c8380cd804da","contributors":{"authors":[{"text":"Clements, W.H.","contributorId":78855,"corporation":false,"usgs":true,"family":"Clements","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":460282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vieira, N.K.M.","contributorId":71034,"corporation":false,"usgs":true,"family":"Vieira","given":"N.K.M.","email":"","affiliations":[],"preferred":false,"id":460281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Church, S. E.","contributorId":58260,"corporation":false,"usgs":true,"family":"Church","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":460280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037289,"text":"70037289 - 2010 - Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037289","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2615,"text":"Letters in Applied Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR","docAbstract":"Aims: The aim of this study was to evaluate the variability in lots of a DNA extraction kit using real-time PCR assays for Bacillus anthracis, Francisella tularensis and Vibrio cholerae. Methods and Results: Replicate aliquots of three bacteria were processed in duplicate with three different lots of a commercial DNA extraction kit. This experiment was repeated in triplicate. Results showed that cycle threshold values were statistically different among the different lots. Conclusions: Differences in DNA extraction reagent lots were found to be a significant source of variability for qPCR results. Steps should be taken to ensure the quality and consistency of reagents. Minimally, we propose that standard curves should be constructed for each new lot of extraction reagents, so that lot-to-lot variation is accounted for in data interpretation. Significance and Impact of the Study: This study highlights the importance of evaluating variability in DNA extraction procedures, especially when different reagent lots are used. Consideration of this variability in data interpretation should be an integral part of studies investigating environmental samples with unknown concentrations of organisms. ?? 2010 The Society for Applied Microbiology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Letters in Applied Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1472-765X.2009.02788.x","issn":"02668254","usgsCitation":"Bushon, R., Kephart, C., Koltun, G., Francy, D., Schaefer, F.W., and Lindquist, H.A., 2010, Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR: Letters in Applied Microbiology, v. 50, no. 3, p. 276-282, https://doi.org/10.1111/j.1472-765X.2009.02788.x.","startPage":"276","endPage":"282","numberOfPages":"7","costCenters":[],"links":[{"id":217373,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1472-765X.2009.02788.x"},{"id":245318,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b971ee4b08c986b31b8bf","contributors":{"authors":[{"text":"Bushon, R.N.","contributorId":68086,"corporation":false,"usgs":true,"family":"Bushon","given":"R.N.","affiliations":[],"preferred":false,"id":460293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kephart, C.M.","contributorId":20577,"corporation":false,"usgs":true,"family":"Kephart","given":"C.M.","affiliations":[],"preferred":false,"id":460289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":460292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Francy, D.S. 0000-0001-9229-3557","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":86809,"corporation":false,"usgs":true,"family":"Francy","given":"D.S.","affiliations":[],"preferred":false,"id":460294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaefer, F. W. III","contributorId":26475,"corporation":false,"usgs":true,"family":"Schaefer","given":"F.","suffix":"III","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":460290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindquist, H.D. Alan","contributorId":48666,"corporation":false,"usgs":true,"family":"Lindquist","given":"H.D.","email":"","middleInitial":"Alan","affiliations":[],"preferred":false,"id":460291,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037290,"text":"70037290 - 2010 - Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder","interactions":[],"lastModifiedDate":"2017-08-26T16:28:19","indexId":"70037290","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder","docAbstract":"The southern edge of San Francisco Bay is surrounded by former salt evaporation ponds, where tidal flow has been restricted since the mid to late 1890s. These ponds are now the focus of a large wetland restoration project, and accurate measurement of current pond bathymetry and adjacent mud flats has been critical to restoration planning. Aerial light detection and ranging (lidar) has become a tool for mapping surface elevations, but its accuracy had rarely been assessed for wetland habitats. We used a singlebeam echosounder system we developed for surveying shallow wetlands to map submerged pond bathymetry in January of 2004 and compared those results with aerial lidar surveys in two ponds that were dry in May of 2004. From those data sets, we compared elevations for 5164 (Pond E9, 154 ha) and 2628 (Pond E14, 69 ha) echosounder and lidar points within a 0.375-m radius of each other (0.750-m diameter lidar spot size). We found that mean elevations of the lidar points were lower than the echosounder results by 5 ?? 0.1 cm in Pond E9 and 2 ?? 0.2 cm in Pond E14. Only a few points (5% in Pond E9, 2% in Pond E14) differed by more than 20 cm, and some of these values may be explained by residual water in the ponds during the lidar survey or elevation changes that occurred between surveys. Our results suggest that aerial lidar may be a very accurate and rapid way to assess terrain elevations for wetland restoration projects. ?? 2010 Coastal Education and Research Foundation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2112/08-1076.1","issn":"07490208","usgsCitation":"Athearn, N., Takekawa, J.Y., Jaffe, B., Hattenbach, B., and Foxgrover, A., 2010, Mapping elevations of tidal wetland restoration sites in San Francisco Bay: Comparing accuracy of aerial lidar with a singlebeam echosounder: Journal of Coastal Research, v. 26, no. 2, p. 312-319, https://doi.org/10.2112/08-1076.1.","startPage":"312","endPage":"319","numberOfPages":"8","costCenters":[],"links":[{"id":217374,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/08-1076.1"},{"id":245319,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5056e4b0c8380cd6b60c","contributors":{"authors":[{"text":"Athearn, N.D.","contributorId":86958,"corporation":false,"usgs":true,"family":"Athearn","given":"N.D.","affiliations":[],"preferred":false,"id":460298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":460296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, B.","contributorId":78517,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","affiliations":[],"preferred":false,"id":460297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hattenbach, B.J.","contributorId":103902,"corporation":false,"usgs":true,"family":"Hattenbach","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":460299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foxgrover, A.C.","contributorId":34321,"corporation":false,"usgs":true,"family":"Foxgrover","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":460295,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037291,"text":"70037291 - 2010 - A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037291","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA","docAbstract":"Five palynological biozones are proposed for the uppermost Santonian and Campanian Stages of South Carolina. In ascending stratigraphic order, these highest-occurrence interval zones are the Osculapollis vestibulus (Ov) Biozone, the Holkopollenites propinquus (Hp) Biozone, the Holkopollenites forix (Hf) Biozone, the Complexiopollis abditus (Ca) Biozone, and the Osculapollis aequalis (Oa) Biozone. These biozones are based on an analysis of more than 400 subsurface and outcrop samples throughout the Coastal Plain Province of South Carolina, and the adjacent states of Georgia and North Carolina. Integration of the biostratigraphy with lithostratigraphy and geophysical log data suggests that the lower and upper boundaries of each biozone are bounded by regional unconformities. Five new species are described, and an emendation is presented for one additional species. ?? 2009 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cretaceous Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cretres.2009.09.004","issn":"01956671","usgsCitation":"Christopher, R.A., and Prowell, D., 2010, A palynological biozonation for the uppermost Santonian and Campanian Stages (Upper Cretaceous) of South Carolina, USA: Cretaceous Research, v. 31, no. 2, p. 101-129, https://doi.org/10.1016/j.cretres.2009.09.004.","startPage":"101","endPage":"129","numberOfPages":"29","costCenters":[],"links":[{"id":217404,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cretres.2009.09.004"},{"id":245350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4d1e4b0c8380cd4694e","contributors":{"authors":[{"text":"Christopher, R. A.","contributorId":53775,"corporation":false,"usgs":true,"family":"Christopher","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prowell, D.C.","contributorId":95475,"corporation":false,"usgs":true,"family":"Prowell","given":"D.C.","affiliations":[],"preferred":false,"id":460301,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037295,"text":"70037295 - 2010 - Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70037295","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish","docAbstract":"We developed stochastic matrix models to evaluate the effects of hydrologic alteration and variable mortality on the population dynamics of a lotie fish in a regulated river system. Models were applied to a representative lotic fish species, the flathead catfish (Pylodictis olivaris), for which two populations were examined: a native population from a regulated reach of the Coosa River (Alabama, USA) and an introduced population from an unregulated section of the Ocmulgee River (Georgia, USA). Size-classified matrix models were constructed for both populations, and residuals from catch-curve regressions were used as indices of year class strength (i.e., recruitment). A multiple regression model indicated that recruitment of flathead catfish in the Coosa River was positively related to the frequency of spring pulses between 283 and 566 m<sup>3</sup>/s. For the Ocmulgee River population, multiple regression models indicated that year class strength was negatively related to mean March discharge and positively related to June low flow. When the Coosa population was modeled to experience five consecutive years of favorable hydrologic conditions during a 50-year projection period, it exhibited a substantial spike in size and increased at an overall 0.2% annual rate. When modeled to experience five years of unfavorable hydrologic conditions, the Coosa population initially exhibited a decrease in size but later stabilized and increased at a 0.4% annual rate following the decline. When the Ocmulgee River population was modeled to experience five years of favorable conditions, it exhibited a substantial spike in size and increased at an overall 0.4% annual rate. After the Ocmulgee population experienced five years of unfavorable conditions, a sharp decline in population size was predicted. However, the population quickly recovered, with population size increasing at a 0.3% annual rate following the decline. In general, stochastic population growth in the Ocmulgee River was more erratic and variable than population growth in the Coosa River. We encourage ecologists to develop similar models for other lotic species, particularly in regulated river systems. Successful management of fish populations in regulated systems requires that we are able to predict how hydrology affects recruitment and will ultimately influence the population dynamics of fishes. ?? 2010 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-0305.1","issn":"10510761","usgsCitation":"Sakaris, P., and Irwin, E., 2010, Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish: Ecological Applications, v. 20, no. 2, p. 483-496, https://doi.org/10.1890/08-0305.1.","startPage":"483","endPage":"496","numberOfPages":"14","costCenters":[],"links":[{"id":216999,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-0305.1"},{"id":244907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb8eae4b08c986b327b17","contributors":{"authors":[{"text":"Sakaris, P.C.","contributorId":18954,"corporation":false,"usgs":true,"family":"Sakaris","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":460314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, E.R.","contributorId":90269,"corporation":false,"usgs":true,"family":"Irwin","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":460315,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037298,"text":"70037298 - 2010 - Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska","interactions":[],"lastModifiedDate":"2018-08-20T19:39:40","indexId":"70037298","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska","docAbstract":"We studied the vegetation of Kasatochi Island, central Aleutian Islands, to provide a general field assessment regarding the survival of plants, lichens, and fungi following a destructive volcanic eruption that occurred in 2008. Plant community data were analyzed using multivariate methods to explore the relationship between pre- and post-eruption plant cover; 5 major vegetation types were identified: Honckenya peploides beach, Festuca rubra cliff shelf, Lupinus nootkatensisFestuca rubra meadow, Leymus mollis bluff ridge (and beach), and Aleuria aurantia lower slope barrens. Our study provided a very unusual glimpse into the early stages of plant primary succession on a remote island where most of the vegetation was destroyed. Plants that apparently survived the eruption dominated early plant communities. Not surprisingly, the most diverse post-eruption community most closely resembled a widespread pre-eruption type. Microhabitats where early plant communities were found were distinct and apparently crucial in determining plant survival. Comparison with volcanic events in related boreal regions indicated some post-eruption pattern similarities. ?? 2010 Regents of the University of Colorado.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Arctic, Antarctic, and Alpine Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1657/1938-4246-42.3.285","issn":"15230430","usgsCitation":"Talbot, S., Talbot, S.L., and Walker, L.R., 2010, Post-eruption legacy effects and their implications for long-term recovery of the vegetation on Kasatochi Island, Alaska: Arctic, Antarctic, and Alpine Research, v. 42, no. 3, p. 285-296, https://doi.org/10.1657/1938-4246-42.3.285.","startPage":"285","endPage":"296","numberOfPages":"12","costCenters":[],"links":[{"id":475814,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1657/1938-4246-42.3.285","text":"External Repository"},{"id":217028,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1657/1938-4246-42.3.285"},{"id":244939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2018-01-17","publicationStatus":"PW","scienceBaseUri":"505a7e62e4b0c8380cd7a4ee","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":460319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra Looman 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":131088,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"Looman","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":460321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Lawrence R.","contributorId":12177,"corporation":false,"usgs":true,"family":"Walker","given":"Lawrence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":460320,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037318,"text":"70037318 - 2010 - Liana habitat and host preferences in northern temperate forests","interactions":[],"lastModifiedDate":"2013-06-24T09:34:42","indexId":"70037318","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Liana habitat and host preferences in northern temperate forests","docAbstract":"Lianas and other climbers are important ecological and structural components of forest communities. Like other plants, their abundance in a given habitat depends on a variety of factors, such as light, soil moisture and nutrients. However, since lianas require external support, host tree characteristics also influence their distribution. Lianas are conspicuous life forms in tropical regions, but in temperate areas, where they are less prominent, little is known about factors that control their distributions in these forests. We surveyed the climbing plant species in 20 mature (100 years and greater) forested habitats in the Midwest USA at a variety of levels from simple presence/absence, to ground layer abundances, to those species that had ascended trees. We also examined attributes of the tree species with climbers attached to them. Using cluster analysis, we distinguished five different tree communities in our survey locations. We determined that 25% of the trees we surveyed had one or more lianas attached to it, with Parthenocissus quinquefolia (Virginia creeper) the most common climbing species encountered. Canopy cover and soil attributes both influenced climber species presence/absence and ground layer climber abundance. The proportion of liana species of a given climbing type (roots, stem twiner, tendril climber) was significantly related to the DBH of the host tree, with more root climbers and fewer stem and tendril climbers on large trees. In general, the DBH of climbing lianas had a significant positive relationship to the DBH of the host tree; however this varied by the identity of the liana and the tree species. The greater the DBH of the host tree, the higher the probability that it was colonized by one or more lianas, with tree species such as Pinus banksiana (jack pine) and Quercus alba (white oak) being more susceptible to liana colonization than others. Finally, some liana species such as Celastrus scandens (American bittersweet) showed a preference for certain tree species (i.e., P. banksiana) as hosts. The information obtained about the relationship between the tree and climber community in this study provides insight into some of the factors that influence liana distributions in understudied temperate forest habitats and how lianas contribute to the structure of these mature forests. In addition, these data can provide a point of comparison to other liana communities in both temperate and tropical regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2010.07.045","issn":"03781127","usgsCitation":"Leicht-Young, S.A., Pavlovic, N., Frohnapple, K., and Grundel, R., 2010, Liana habitat and host preferences in northern temperate forests: Forest Ecology and Management, v. 260, no. 9, p. 1467-1477, https://doi.org/10.1016/j.foreco.2010.07.045.","productDescription":"11 p.","startPage":"1467","endPage":"1477","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217346,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2010.07.045"},{"id":245290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"260","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a474ae4b0c8380cd677fe","contributors":{"authors":[{"text":"Leicht-Young, S. A.","contributorId":41648,"corporation":false,"usgs":true,"family":"Leicht-Young","given":"S.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavlovic, N.B.","contributorId":105076,"corporation":false,"usgs":true,"family":"Pavlovic","given":"N.B.","email":"","affiliations":[],"preferred":false,"id":460452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnapple, K.J.","contributorId":13442,"corporation":false,"usgs":true,"family":"Frohnapple","given":"K.J.","affiliations":[],"preferred":false,"id":460449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grundel, R.","contributorId":37110,"corporation":false,"usgs":true,"family":"Grundel","given":"R.","affiliations":[],"preferred":false,"id":460450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037322,"text":"70037322 - 2010 - Sexing California gulls using morphometrics and discriminant function analysis","interactions":[],"lastModifiedDate":"2017-07-19T15:21:12","indexId":"70037322","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Sexing California gulls using morphometrics and discriminant function analysis","docAbstract":"A discriminant function analysis (DFA) model was developed with DNA sex verification so that external morphology could be used to sex 203 adult California Gulls (Larus californicus) in San Francisco Bay (SFB). The best model was 97% accurate and included head-to-bill length, culmen depth at the gonys, and wing length. Using an iterative process, the model was simplified to a single measurement (head-to-bill length) that still assigned sex correctly 94% of the time. A previous California Gull sex determination model developed for a population in Wyoming was then assessed by fitting SFB California Gull measurement data to the Wyoming model; this new model failed to converge on the same measurements as those originally used by the Wyoming model. Results from the SFB discriminant function model were compared to the Wyoming model results (by using SFB data with the Wyoming model); the SFB model was 7% more accurate for SFB California gulls. The simplified DFA model (head-to-bill length only) provided highly accurate results (94%) and minimized the measurements and time required to accurately sex California Gulls.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.033.0109","issn":"15244695","usgsCitation":"Herring, G., Ackerman, J., Eagles-Smith, C.A., and Takekawa, J.Y., 2010, Sexing California gulls using morphometrics and discriminant function analysis: Waterbirds, v. 33, no. 1, p. 79-85, https://doi.org/10.1675/063.033.0109.","startPage":"79","endPage":"85","numberOfPages":"7","costCenters":[],"links":[{"id":245352,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217406,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.033.0109"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8db4e4b08c986b3184f1","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":460470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":460469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":460471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":460468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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