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.
","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":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":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":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":70041939,"text":"70041939 - 2010 - Protocol for statistical analysis of vegetation changes at Catoctin Mountain Park","interactions":[],"lastModifiedDate":"2016-10-19T13:46:18","indexId":"70041939","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NCR/NCRO/NRTR2010/001","title":"Protocol for statistical analysis of vegetation changes at Catoctin Mountain Park","docAbstract":"Vegetation data collected at Catoctin Mountain Park, Maryland, in a split-panel rotation design during 2004-2009 were analyzed for differences among three regions within the park and among years. Six plots were paired with plots fenced to exclude white-tailed deer (Odocoileus virginianus), and differences between open and exclosed plots were also investigated. Repeated measures analysis of variance (ANOVA) was used to test for differences in the following variables: percentage of twigs browsed, percentage of canopy cover, and number of tree and shrub seedlings in each of five height classes. Except for some differences in numbers of tree and shrub seedlings among height classes among the regions, no differences (P > 0.05) were found among the regions or over time in the variables measured. Recommendations for future sampling and analysis are discussed. ","language":"English","publisher":"Department of Interior, National Park Service","publisherLocation":"Washington, D.C.","usgsCitation":"Hatfield, J.S., and Krafft, C., 2010, Protocol for statistical analysis of vegetation changes at Catoctin Mountain Park: Natural Resource Report NPS/NCR/NCRO/NRTR2010/001, iv, 8 p.","productDescription":"iv, 8 p.","numberOfPages":"16","ipdsId":"IP-042066","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":329752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58088688e4b0f497e78e24dd","contributors":{"authors":[{"text":"Hatfield, Jeff S.","contributorId":95187,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff","email":"","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":651409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krafft, Cairn ckrafft@usgs.gov","contributorId":3480,"corporation":false,"usgs":true,"family":"Krafft","given":"Cairn","email":"ckrafft@usgs.gov","affiliations":[],"preferred":true,"id":651410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042495,"text":"70042495 - 2010 - On the resolution of shallow mantle viscosity structure using post-earthquake relaxation data: Application to the 1999 Hector Mine, California, earthquake","interactions":[],"lastModifiedDate":"2013-04-30T14:27:32","indexId":"70042495","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"On the resolution of shallow mantle viscosity structure using post-earthquake relaxation data: Application to the 1999 Hector Mine, California, earthquake","docAbstract":"Most models of lower crust/mantle viscosity inferred from postearthquake relaxation assume one or two uniform-viscosity layers. A few existing models possess apparently significant radially variable viscosity structure in the shallow mantle (e.g., the upper 200 km), but the resolution of such variations is not clear. We use a geophysical inverse procedure to address the resolving power of inferred shallow mantle viscosity structure using postearthquake relaxation data. We apply this methodology to 9 years of GPS-constrained crustal motions after the 16 October 1999 M = 7.1 Hector Mine earthquake. After application of a differencing method to isolate the postearthquake signal from the “background” crustal velocity field, we find that surface velocities diminish from ∼20 mm/yr in the first few months to ≲2 mm/yr after 2 years. Viscoelastic relaxation of the mantle, with a time-dependent effective viscosity prescribed by a Burgers body, provides a good explanation for the postseismic crustal deformation, capturing both the spatial and temporal pattern. In the context of the Burgers body model (which involves a transient viscosity and steady state viscosity), a resolution analysis based on the singular value decomposition reveals that at most, two constraints on depth-dependent steady state mantle viscosity are provided by the present data set. Uppermost mantle viscosity (depth ≲ 60 km) is moderately resolved, but deeper viscosity structure is poorly resolved. The simplest model that explains the data better than that of uniform steady state mantle viscosity involves a linear gradient in logarithmic viscosity with depth, with a small increase from the Moho to 220 km depth. However, the viscosity increase is not statistically significant. This suggests that the depth-dependent steady state viscosity is not resolvably different from uniformity in the uppermost mantle.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2010JB007405","usgsCitation":"Pollitz, F., and Thatcher, W.R., 2010, On the resolution of shallow mantle viscosity structure using post-earthquake relaxation data: Application to the 1999 Hector Mine, California, earthquake: Journal of Geophysical Research B: Solid Earth, 20 p., https://doi.org/10.1029/2010JB007405.","productDescription":"20 p.","numberOfPages":"20","additionalOnlineFiles":"N","ipdsId":"IP-019815","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":271680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271679,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB007405"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.56,33.01 ], [ -120.56,37.00 ], [ -114.96,37.00 ], [ -114.96,33.01 ], [ -120.56,33.01 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2010-10-15","publicationStatus":"PW","scienceBaseUri":"5180e7e9e4b0df838b924d80","contributors":{"authors":[{"text":"Pollitz, Fred F. fpollitz@usgs.gov","contributorId":2408,"corporation":false,"usgs":true,"family":"Pollitz","given":"Fred F.","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":471643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thatcher, Wayne R. 0000-0001-6324-545X thatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-545X","contributorId":2599,"corporation":false,"usgs":true,"family":"Thatcher","given":"Wayne","email":"thatcher@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471644,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042097,"text":"70042097 - 2010 - Radiative forcing over the conterminous United States due to contemporary land cover land use change and sensitivity to snow and interannual albedo variability","interactions":[],"lastModifiedDate":"2017-04-05T11:57:13","indexId":"70042097","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Radiative forcing over the conterminous United States due to contemporary land cover land use change and sensitivity to snow and interannual albedo variability","docAbstract":"Satellite-derived land cover land use (LCLU), snow and albedo data, and incoming surface solar radiation reanalysis data were used to study the impact of LCLU change from 1973 to 2000 on surface albedo and radiative forcing for 58 ecoregions covering 69% of the conterminous United States. A net positive surface radiative forcing (i.e., warming) of 0.029 Wm−2 due to LCLU albedo change from 1973 to 2000 was estimated. The forcings for individual ecoregions were similar in magnitude to current global forcing estimates, with the most negative forcing (as low as −0.367 Wm−2) due to the transition to forest and the most positive forcing (up to 0.337 Wm−2) due to the conversion to grass/shrub. Snow exacerbated both negative and positive forcing for LCLU transitions between snow-hiding and snow-revealing LCLU classes. The surface radiative forcing estimates were highly sensitive to snow-free interannual albedo variability that had a percent average monthly variation from 1.6% to 4.3% across the ecoregions. The results described in this paper enhance our understanding of contemporary LCLU change on surface radiative forcing and suggest that future forcing estimates should model snow and interannual albedo variation.
","language":"English","publisher":"AGU","doi":"10.1029/2010JG001428","usgsCitation":"Barnes, C., and Roy, D.P., 2010, Radiative forcing over the conterminous United States due to contemporary land cover land use change and sensitivity to snow and interannual albedo variability: Journal of Geophysical Research: Biogeosciences, v. 115, no. G4, p. 1-14, https://doi.org/10.1029/2010JG001428.","productDescription":"G04033; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-026946","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475847,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jg001428","text":"Publisher Index Page"},{"id":339216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","volume":"115","issue":"G4","noUsgsAuthors":false,"publicationDate":"2010-12-04","publicationStatus":"PW","scienceBaseUri":"58e60274e4b09da6799ac68f","contributors":{"authors":[{"text":"Barnes, Christopher A. 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":178108,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher A.","email":"christopher.barnes.ctr@usgs.gov","affiliations":[],"preferred":false,"id":689471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, David P.","contributorId":71083,"corporation":false,"usgs":true,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":689472,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046261,"text":"70046261 - 2010 - Physical Habitat Characteristics on the North and South Forks of the Shenandoah River, VA in 2002-2007","interactions":[],"lastModifiedDate":"2013-06-04T12:43:46","indexId":"70046261","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Physical Habitat Characteristics on the North and South Forks of the Shenandoah River, VA in 2002-2007","docAbstract":"Data collected with the GeoXT Trimble GPS unit using ArcPad 6.1. (summer 2006-2007). Files were created within a geodatabase to create a data dictionary for use in ArcPad during data collection. Drop down lists for \nhabitat type, substrate, depth, width, length, and descriptions were included. Data files produced on the GeoXT were point shapefiles that could be checked back into the geodatabase and viewable as a layer. Points were gathered while canoeing along the South Fork Shenandoah River. Each location marked a change in meso-scale habitat type. GPS points were supplemented with GIS-derived points in areas where manual measurements were made. The points were used to generate a line coverage. 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Points were gathered while canoeing along the North Fork Shenandoah River. Each location marked a change in meso-scale habitat type. GPS points were supplemented with GIS-derived points in areas where manual measurements were made. The points were used to generate a line coverage. 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\n• Provide findings that are organized, peer reviewed, and communicated widely.
\n• Increase the opportunity for data collection to provide more reliable information and result in improved analyses and higher confidence in data analyses for making informed and more relevant decisions.
","largerWorkTitle":"Tagging, telemetry, and marking measures for monitoring fish populations: A compendium of new and recent science for use in informing technique and decision modalities","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","publisherLocation":"Seattle, WA","usgsCitation":"Wolf, K.S., and Waste, S., 2010, Introduction: Tagging, telemetry, and marking compendium project: PNAMP Report Series 2010-002, 4 p.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018295","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":307458,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b9e4b0518e354dd196","contributors":{"authors":[{"text":"Wolf, Keith S.","contributorId":177730,"corporation":false,"usgs":false,"family":"Wolf","given":"Keith","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":516963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waste, Stephen M. swaste@usgs.gov","contributorId":3837,"corporation":false,"usgs":true,"family":"Waste","given":"Stephen M.","email":"swaste@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":569840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043965,"text":"70043965 - 2010 - Wind River water restoration, Annual report November 2008 to October 2009.","interactions":[],"lastModifiedDate":"2016-12-28T11:16:59","indexId":"70043965","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River water restoration, Annual report November 2008 to October 2009.","docAbstract":"This report summarizes work completed by U.S. Geological Survey’s Columbia River Research Laboratory (USGS-CRRL) in the Wind River subbasin during the period November 2008 through October 2009 under Bonneville Power Administration (BPA) contract 41038. Long term research in the Wind River has focused on assessments of steelhead/rainbow trout Oncorhynchus mykiss populations, interactions with introduced populations of spring Chinook salmon O. tshawytscha and brook trout Salvelinus fontinalis, and influences of habitat variables on fish productivity. During this period, we collected water temperature data to characterize variation within and among tributaries and mainstem sections in the Trout Creek watershed, and assisted Washington Department of Fish and Wildlife with smolt trapping and tagging of smolt and parr steelhead with passive integrated transponder (PIT) tags. We also continued to maintain and test efficacy of a passive integrated transponder tag interrogation system (PTIS) in Trout Creek for assessing the adult steelhead runsize. We continued to maintain and download PTIS setups in the fish ladder at Hemlock Dam. These PTISs contributed information on movement and rearing of steelhead parr and smolts. \nA statement of work (SOW) was submitted to BPA in October 2009 that outlined work to be performed by USGS-CRRL. The SOW was organized by work elements, with each describing a research task. This report summarizes the progress completed under each work element.\n","language":"English ","publisher":"Bonneville Power Administration","publisherLocation":"Portland, OR","usgsCitation":"Connolly, P., Jezorek, I., and Munz, C., 2010, Wind River water restoration, Annual report November 2008 to October 2009., 10 p.","productDescription":"10 p.","ipdsId":"IP-026263","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5864dd53e4b0cd2dabe7c1d9","contributors":{"authors":[{"text":"Connolly, P.J.","contributorId":70141,"corporation":false,"usgs":true,"family":"Connolly","given":"P.J.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jezorek, I.G.","contributorId":80913,"corporation":false,"usgs":true,"family":"Jezorek","given":"I.G.","affiliations":[],"preferred":false,"id":656708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munz, C.S.","contributorId":177697,"corporation":false,"usgs":false,"family":"Munz","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":656709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037029,"text":"70037029 - 2010 - Monitoring on-orbit calibration stability of the Terra MODIS and Landsat 7 ETM+ sensors using pseudo-invariant test sites","interactions":[],"lastModifiedDate":"2017-04-05T14:15:43","indexId":"70037029","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":"Monitoring on-orbit calibration stability of the Terra MODIS and Landsat 7 ETM+ sensors using pseudo-invariant test sites","docAbstract":"The ability to detect and quantify changes in the Earth's environment depends on sensors that can provide calibrated, consistent measurements of the Earth's surface features through time. A critical step in this process is to put image data from different sensors onto a common radiometric scale. This work focuses on monitoring the long-term on-orbit calibration stability of the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) and the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) sensors using the Committee on Earth Observation Satellites (CEOS) reference standard pseudo-invariant test sites (Libya 4, Mauritania 1/2, Algeria 3, Libya 1, and Algeria 5). These sites have been frequently used as radiometric targets because of their relatively stable surface conditions temporally. This study was performed using all cloud-free calibrated images from the Terra MODIS and the L7 ETM+ sensors, acquired from launch to December 2008. Homogeneous regions of interest (ROI) were selected in the calibrated images and the mean target statistics were derived from sensor measurements in terms of top-of-atmosphere (TOA) reflectance. For each band pair, a set of fitted coefficients (slope and offset) is provided to monitor the long-term stability over very stable pseudo-invariant test sites. The average percent differences in intercept from the long-term trends obtained from the ETM + TOA reflectance estimates relative to the MODIS for all the CEOS reference standard test sites range from 2.5% to 15%. This gives an estimate of the collective differences due to the Relative Spectral Response (RSR) characteristics of each sensor, bi-directional reflectance distribution function (BRDF), spectral signature of the ground target, and atmospheric composition. The lifetime TOA reflectance trends from both sensors over 10 years are extremely stable, changing by no more than 0.4% per year in its TOA reflectance over the CEOS reference standard test sites.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2009.12.003","issn":"00344257","usgsCitation":"Chander, G., Xiong, X., Choi, T., and Angal, A., 2010, Monitoring on-orbit calibration stability of the Terra MODIS and Landsat 7 ETM+ sensors using pseudo-invariant test sites: Remote Sensing of Environment, v. 114, no. 4, p. 925-939, https://doi.org/10.1016/j.rse.2009.12.003.","productDescription":"15 p.","startPage":"925","endPage":"939","numberOfPages":"15","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245110,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217188,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2009.12.003"}],"volume":"114","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5dd0e4b0c8380cd705f6","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":459044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, X.","contributorId":54822,"corporation":false,"usgs":true,"family":"Xiong","given":"X.","email":"","affiliations":[],"preferred":false,"id":459046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choi, T.","contributorId":21794,"corporation":false,"usgs":true,"family":"Choi","given":"T.","email":"","affiliations":[],"preferred":false,"id":459043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angal, A.","contributorId":52716,"corporation":false,"usgs":true,"family":"Angal","given":"A.","affiliations":[],"preferred":false,"id":459045,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037051,"text":"70037051 - 2010 - Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037051","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification","docAbstract":"Natural tags based on DNA fingerprints or natural features of animals are now becoming very widely used in wildlife population biology. However, classic capture-recapture models do not allow for misidentification of animals which is a potentially very serious problem with natural tags. Statistical analysis of misidentification processes is extremely difficult using traditional likelihood methods but is easily handled using Bayesian methods. We present a general framework for Bayesian analysis of categorical data arising from a latent multinomial distribution. Although our work is motivated by a specific model for misidentification in closed population capture-recapture analyses, with crucial assumptions which may not always be appropriate, the methods we develop extend naturally to a variety of other models with similar structure. Suppose that observed frequencies f are a known linear transformation f = A???x of a latent multinomial variable x with cell probability vector ?? = ??(??). Given that full conditional distributions [?? | x] can be sampled, implementation of Gibbs sampling requires only that we can sample from the full conditional distribution [x | f, ??], which is made possible by knowledge of the null space of A???. We illustrate the approach using two data sets with individual misidentification, one simulated, the other summarizing recapture data for salamanders based on natural marks. ?? 2009, The International Biometric Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biometrics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1541-0420.2009.01244.x","issn":"0006341X","usgsCitation":"Link, W., Yoshizaki, J., Bailey, L., and Pollock, K.H., 2010, Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification: Biometrics, v. 66, no. 1, p. 178-185, https://doi.org/10.1111/j.1541-0420.2009.01244.x.","startPage":"178","endPage":"185","numberOfPages":"8","costCenters":[],"links":[{"id":475979,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1541-0420.2009.01244.x","text":"Publisher Index Page"},{"id":217074,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1541-0420.2009.01244.x"},{"id":244986,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-03-17","publicationStatus":"PW","scienceBaseUri":"505bbc31e4b08c986b328ac5","contributors":{"authors":[{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":459153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoshizaki, J.","contributorId":79596,"corporation":false,"usgs":true,"family":"Yoshizaki","given":"J.","email":"","affiliations":[],"preferred":false,"id":459156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, L.L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":61006,"corporation":false,"usgs":true,"family":"Bailey","given":"L.L.","affiliations":[],"preferred":false,"id":459154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollock, K. H.","contributorId":65184,"corporation":false,"usgs":false,"family":"Pollock","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":459155,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037052,"text":"70037052 - 2010 - Reactive transport modeling to study changes in water chemistry induced by CO2 injection at the Frio-I Brine Pilot","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037052","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":"Reactive transport modeling to study changes in water chemistry induced by CO2 injection at the Frio-I Brine Pilot","docAbstract":"To demonstrate the potential for geologic storage of CO2 in saline aquifers, the Frio-I Brine Pilot was conducted, during which 1600 tons of CO2 were injected into a high-permeability sandstone and the resulting subsurface plume of CO2 was monitored using a variety of hydrogeological, geophysical, and geochemical techniques. Fluid samples were obtained before CO2 injection for baseline geochemical characterization, during the CO2 injection to track its breakthrough at a nearby observation well, and after injection to investigate changes in fluid composition and potential leakage into an overlying zone. Following CO2 breakthrough at the observation well, brine samples showed sharp drops in pH, pronounced increases in HCO3- and aqueous Fe, and significant shifts in the isotopic compositions of H2O and dissolved inorganic carbon. Based on a calibrated 1-D radial flow model, reactive transport modeling was performed for the Frio-I Brine Pilot. A simple kinetic model of Fe release from the solid to aqueous phase was developed, which can reproduce the observed increases in aqueous Fe concentration. Brine samples collected after half a year had lower Fe concentrations due to carbonate precipitation, and this trend can be also captured by our modeling. The paper provides a method for estimating potential mobile Fe inventory, and its bounding concentration in the storage formation from limited observation data. Long-term simulations show that the CO2 plume gradually spreads outward due to capillary forces, and the gas saturation gradually decreases due to its dissolution and precipitation of carbonates. The gas phase is predicted to disappear after 500 years. Elevated aqueous CO2 concentrations remain for a longer time, but eventually decrease due to carbonate precipitation. For the Frio-I Brine Pilot, all injected CO2 could ultimately be sequestered as carbonate minerals. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2010.01.006","issn":"00092541","usgsCitation":"Xu, T., Kharaka, Y., Doughty, C., Freifeld, B., and Daley, T., 2010, Reactive transport modeling to study changes in water chemistry induced by CO2 injection at the Frio-I Brine Pilot: Chemical Geology, v. 271, no. 3-4, p. 153-164, https://doi.org/10.1016/j.chemgeo.2010.01.006.","startPage":"153","endPage":"164","numberOfPages":"12","costCenters":[],"links":[{"id":475780,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/981745","text":"External Repository"},{"id":217101,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2010.01.006"},{"id":245018,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"271","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a958ae4b0c8380cd81aa8","contributors":{"authors":[{"text":"Xu, T.","contributorId":31236,"corporation":false,"usgs":true,"family":"Xu","given":"T.","email":"","affiliations":[],"preferred":false,"id":459159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kharaka, Y.K.","contributorId":23568,"corporation":false,"usgs":true,"family":"Kharaka","given":"Y.K.","email":"","affiliations":[],"preferred":false,"id":459158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doughty, C.","contributorId":41202,"corporation":false,"usgs":true,"family":"Doughty","given":"C.","email":"","affiliations":[],"preferred":false,"id":459161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freifeld, B.M.","contributorId":21753,"corporation":false,"usgs":true,"family":"Freifeld","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":459157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daley, T.M.","contributorId":34708,"corporation":false,"usgs":true,"family":"Daley","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":459160,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70037078,"text":"70037078 - 2010 - Silica in a Mars analog environment: Ka u Desert, Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70037078","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Silica in a Mars analog environment: Ka u Desert, Kilauea Volcano, Hawaii","docAbstract":"Airborne Visible/Near-Infrared Imaging Spectrometer (AVIRIS) data acquired over the Ka u Desert are atmospherically corrected to ground reflectance and used to identify the mineralogic components of relatively young basaltic materials, including 250-700 and 200-400 year old lava flows, 1971 and 1974 flows, ash deposits, and solfatara incrustations. To provide context, a geologic surface units map is constructed, verified with field observations, and supported by laboratory analyses. AVIRIS spectral endmembers are identified in the visible (0.4 to 1.2 ??m) and short wave infrared (2.0 to 2.5 ??m) wavelength ranges. Nearly all the spectral variability is controlled by the presence of ferrous and ferric iron in such minerals as pyroxene, olivine, hematite, goethite, and poorly crystalline iron oxides or glass. A broad, nearly ubiquitous absorption feature centered at 2.25 ??m is attributed to opaline (amorphous, hydrated) silica and is found to correlate spatially with mapped geologic surface units. Laboratory analyses show the silica to be consistently present as a deposited phase, including incrustations downwind from solfatara vents, cementing agent for ash duricrusts, and thin coatings on the youngest lava flow surfaces. A second, Ti-rich upper coating on young flows also influences spectral behavior. This study demonstrates that secondary silica is mobile in the Ka u Desert on a variety of time scales and spatial domains. The investigation from remote, field, and laboratory perspectives also mimics exploration of Mars using orbital and landed missions, with important implications for spectral characterization of coated basalts and formation of opaline silica in arid, acidic alteration environments. Copyright 2010 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009JE003347","issn":"01480227","usgsCitation":"Seelos, K., Arvidson, R., Jolliff, B., Chemtob, S., Morris, R., Ming, D.W., and Swayze, G., 2010, Silica in a Mars analog environment: Ka u Desert, Kilauea Volcano, Hawaii: Journal of Geophysical Research E: Planets, v. 115, no. 4, https://doi.org/10.1029/2009JE003347.","costCenters":[],"links":[{"id":475821,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009je003347","text":"Publisher Index Page"},{"id":216990,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009JE003347"},{"id":244897,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-08","publicationStatus":"PW","scienceBaseUri":"505b8f32e4b08c986b318da3","contributors":{"authors":[{"text":"Seelos, K.D.","contributorId":73849,"corporation":false,"usgs":true,"family":"Seelos","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":459277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, R. E.","contributorId":46666,"corporation":false,"usgs":true,"family":"Arvidson","given":"R. E.","affiliations":[],"preferred":false,"id":459276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jolliff, B.L.","contributorId":21268,"corporation":false,"usgs":true,"family":"Jolliff","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":459273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chemtob, S.M.","contributorId":38435,"corporation":false,"usgs":true,"family":"Chemtob","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":459275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morris, R.V.","contributorId":6978,"corporation":false,"usgs":true,"family":"Morris","given":"R.V.","affiliations":[],"preferred":false,"id":459272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ming, D. W.","contributorId":96811,"corporation":false,"usgs":true,"family":"Ming","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":459278,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swayze, G.A. 0000-0002-1814-7823","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":21570,"corporation":false,"usgs":true,"family":"Swayze","given":"G.A.","affiliations":[],"preferred":false,"id":459274,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70044084,"text":"70044084 - 2010 - Nodeomics: Pathogen detection in vertebrate lymph nodes using meta-transcriptomics","interactions":[],"lastModifiedDate":"2018-10-22T10:23:29","indexId":"70044084","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2978,"text":"PLoS","active":true,"publicationSubtype":{"id":10}},"title":"Nodeomics: Pathogen detection in vertebrate lymph nodes using meta-transcriptomics","docAbstract":"The ongoing emergence of human infections originating from wildlife highlights the need for better knowledge of the microbial community in wildlife species where traditional diagnostic approaches are limited. Here we evaluate the microbial biota in healthy mule deer (Odocoileus hemionus) by analyses of lymph node meta-transcriptomes. cDNA libraries from five individuals and two pools of samples were prepared from retropharyngeal lymph node RNA enriched for polyadenylated RNA and sequenced using Roche-454 Life Sciences technology. Protein-coding and 16S ribosomal RNA (rRNA) sequences were taxonomically profiled using protein and rRNA specific databases. Representatives of all bacterial phyla were detected in the seven libraries based on protein-coding transcripts indicating that viable microbiota were present in lymph nodes. Residents of skin and rumen, and those ubiquitous in mule deer habitat dominated classifiable bacterial species. Based on detection of both rRNA and protein-coding transcripts, we identified two new proteobacterial species; a Helicobacter closely related to Helicobacter cetorum in the Helicobacter pylori/Helicobacter acinonychis complex and an Acinetobacter related to Acinetobacter schindleri. Among viruses, a novel gamma retrovirus and other members of the Poxviridae and Retroviridae were identified. We additionally evaluated bacterial diversity by amplicon sequencing the hypervariable V6 region of 16S rRNA and demonstrate that overall taxonomic diversity is higher with the meta-transcriptomic approach. These data provide the most complete picture to date of the microbial diversity within a wildlife host. Our research advances the use of meta-transcriptomics to study microbiota in wildlife tissues, which will facilitate detection of novel organisms with pathogenic potential to human and animals.","language":"English","publisher":"PloS","doi":"10.1371/journal.pone.0013432","usgsCitation":"Wittekindt, N.E., Padhi, A., Schuster, S.C., Qi, J., Zhao, F., Tomsho, L.P., Kasson, L.R., Packard, M., Cross, P.C., and Poss, M., 2010, Nodeomics: Pathogen detection in vertebrate lymph nodes using meta-transcriptomics: PLoS, v. 5, no. 10, p. 1-10, https://doi.org/10.1371/journal.pone.0013432.","productDescription":"e13432; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-018323","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":489162,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0013432","text":"Publisher Index Page"},{"id":269666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269665,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0013432"}],"volume":"5","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-10-18","publicationStatus":"PW","scienceBaseUri":"51483797e4b022dd171afea9","contributors":{"authors":[{"text":"Wittekindt, Nicola E.","contributorId":52056,"corporation":false,"usgs":true,"family":"Wittekindt","given":"Nicola","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Padhi, Abinash","contributorId":7154,"corporation":false,"usgs":true,"family":"Padhi","given":"Abinash","email":"","affiliations":[],"preferred":false,"id":474800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, Stephan C.","contributorId":28836,"corporation":false,"usgs":true,"family":"Schuster","given":"Stephan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Ji","contributorId":16248,"corporation":false,"usgs":true,"family":"Qi","given":"Ji","email":"","affiliations":[],"preferred":false,"id":474801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhao, Fangqing","contributorId":97790,"corporation":false,"usgs":true,"family":"Zhao","given":"Fangqing","email":"","affiliations":[],"preferred":false,"id":474808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tomsho, Lynn P.","contributorId":44391,"corporation":false,"usgs":true,"family":"Tomsho","given":"Lynn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasson, Lindsay R.","contributorId":81384,"corporation":false,"usgs":true,"family":"Kasson","given":"Lindsay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474806,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Packard, Michael","contributorId":90189,"corporation":false,"usgs":true,"family":"Packard","given":"Michael","email":"","affiliations":[],"preferred":false,"id":474807,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474799,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poss, Mary","contributorId":79003,"corporation":false,"usgs":true,"family":"Poss","given":"Mary","email":"","affiliations":[],"preferred":false,"id":474805,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70037079,"text":"70037079 - 2010 - Protein expression and genetic structure of the coral Porites lobata in an environmentally extreme Samoan back reef: Does host genotype limit phenotypic plasticity?","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70037079","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Protein expression and genetic structure of the coral Porites lobata in an environmentally extreme Samoan back reef: Does host genotype limit phenotypic plasticity?","docAbstract":"The degree to which coral reef ecosystems will be impacted by global climate change depends on regional and local differences in corals' susceptibility and resilience to environmental stressors. Here, we present data from a reciprocal transplant experiment using the common reef building coral Porites lobata between a highly fluctuating back reef environment that reaches stressful daily extremes, and a more stable, neighbouring forereef. Protein biomarker analyses assessing physiological contributions to stress resistance showed evidence for both fixed and environmental influence on biomarker response. Fixed influences were strongest for ubiquitin-conjugated proteins with consistently higher levels found in back reef source colonies both pre and post-transplant when compared with their forereef conspecifics. Additionally, genetic comparisons of back reef and forereef populations revealed significant population structure of both the nuclear ribosomal and mitochondrial genomes of the coral host (FST = 0.146 P < 0.0001, FST = 0.335 P < 0.0001 for rDNA and mtDNA, respectively), whereas algal endosymbiont populations were genetically indistinguishable between the two sites. We propose that the genotype of the coral host may drive limitations to the physiological responses of these corals when faced with new environmental conditions. This result is important in understanding genotypic and environmental interactions in the coral algal symbiosis and how corals may respond to future environmental changes. ?? 2010 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-294X.2010.04574.x","issn":"09621083","usgsCitation":"Barshis, D., Stillman, J., Gates, R., Toonen, R., Smith, L., and Birkeland, C., 2010, Protein expression and genetic structure of the coral Porites lobata in an environmentally extreme Samoan back reef: Does host genotype limit phenotypic plasticity?: Molecular Ecology, v. 19, no. 8, p. 1705-1720, https://doi.org/10.1111/j.1365-294X.2010.04574.x.","startPage":"1705","endPage":"1720","numberOfPages":"16","costCenters":[],"links":[{"id":217015,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-294X.2010.04574.x"},{"id":244925,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f70e4b0c8380cd7f770","contributors":{"authors":[{"text":"Barshis, D.J.","contributorId":106730,"corporation":false,"usgs":true,"family":"Barshis","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":459284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillman, J.H.","contributorId":85436,"corporation":false,"usgs":true,"family":"Stillman","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":459282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gates, R.D.","contributorId":56887,"corporation":false,"usgs":true,"family":"Gates","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":459280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toonen, R.J.","contributorId":99401,"corporation":false,"usgs":true,"family":"Toonen","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":459283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, L.W.","contributorId":52992,"corporation":false,"usgs":true,"family":"Smith","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":459279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birkeland, C.","contributorId":62841,"corporation":false,"usgs":true,"family":"Birkeland","given":"C.","email":"","affiliations":[],"preferred":false,"id":459281,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70044102,"text":"70044102 - 2010 - Mapping brucellosis increases relative to elk density using hierarchical Bayesian models","interactions":[],"lastModifiedDate":"2018-10-22T10:24:46","indexId":"70044102","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mapping brucellosis increases relative to elk density using hierarchical Bayesian models","docAbstract":"The relationship between host density and parasite transmission is central to the effectiveness of many disease management strategies. Few studies, however, have empirically estimated this relationship particularly in large mammals. We applied hierarchical Bayesian methods to a 19-year dataset of over 6400 brucellosis tests of adult female elk (Cervus elaphus) in northwestern Wyoming. Management captures that occurred from January to March were over two times more likely to be seropositive than hunted elk that were killed in September to December, while accounting for site and year effects. Areas with supplemental feeding grounds for elk had higher seroprevalence in 1991 than other regions, but by 2009 many areas distant from the feeding grounds were of comparable seroprevalence. The increases in brucellosis seroprevalence were correlated with elk densities at the elk management unit, or hunt area, scale (mean 2070 km2; range = [95–10237]). The data, however, could not differentiate among linear and non-linear effects of host density. Therefore, control efforts that focus on reducing elk densities at a broad spatial scale were only weakly supported. Additional research on how a few, large groups within a region may be driving disease dynamics is needed for more targeted and effective management interventions. Brucellosis appears to be expanding its range into new regions and elk populations, which is likely to further complicate the United States brucellosis eradication program. This study is an example of how the dynamics of host populations can affect their ability to serve as disease reservoirs.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0010322","usgsCitation":"Cross, P.C., Heisey, D.M., Scurlock, B.M., Edwards, W.H., Brennan, A., and Ebinger, M.R., 2010, Mapping brucellosis increases relative to elk density using hierarchical Bayesian models: PLoS ONE, v. 5, no. 4, p. 1-9, https://doi.org/10.1371/journal.pone.0010322.","productDescription":"e10322; 9 p.","startPage":"1","endPage":"9","additionalOnlineFiles":"N","ipdsId":"IP-015864","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":488145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0010322","text":"Publisher Index Page"},{"id":268747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268742,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0010322"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.01,40.91 ], [ -111.01,44.87 ], [ -108.04,44.87 ], [ -108.04,40.91 ], [ -111.01,40.91 ] ] ] } } ] }","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-23","publicationStatus":"PW","scienceBaseUri":"51372205e4b02ab8869bffe8","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heisey, Dennis M. dheisey@usgs.gov","contributorId":2455,"corporation":false,"usgs":true,"family":"Heisey","given":"Dennis","email":"dheisey@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":474812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":474817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, William H.","contributorId":9144,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":474815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brennan, Angela","contributorId":40871,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","affiliations":[],"preferred":false,"id":474816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474814,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70037086,"text":"70037086 - 2010 - Computer algorithm for analyzing and processing borehole strainmeter data","interactions":[],"lastModifiedDate":"2013-01-14T15:14:48","indexId":"70037086","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Computer algorithm for analyzing and processing borehole strainmeter data","docAbstract":"The newly installed Plate Boundary Observatory (PBO) strainmeters record signals from tectonic activity, Earth tides, and atmospheric pressure. Important information about tectonic processes may occur at amplitudes at and below tidal strains and pressure loading. If incorrect assumptions are made regarding the background noise in the strain data, then the estimates of tectonic signal amplitudes may be incorrect. Furthermore, the use of simplifying assumptions that data are uncorrelated can lead to incorrect results and pressure loading and tides may not be completely removed from the raw data. Instead, any algorithm used to process strainmeter data must incorporate the strong temporal correlations that are inherent with these data. The technique described here uses least squares but employs data covariance that describes the temporal correlation of strainmeter data. There are several advantages to this method since many parameters are estimated simultaneously. These parameters include: (1) functional terms that describe the underlying error model, (2) the tidal terms, (3) the pressure loading term(s), (4) amplitudes of offsets, either those from earthquakes or from the instrument, (5) rate and changes in rate, and (6) the amplitudes and time constants of either logarithmic or exponential curves that can characterize postseismic deformation or diffusion of fluids near the strainmeter. With the proper error model, realistic estimates of the standard errors of the various parameters are obtained; this is especially critical in determining the statistical significance of a suspected, tectonic strain signal. The program also provides a method of tracking the various adjustments required to process strainmeter data. In addition, the program provides several plots to assist with identifying either tectonic signals or other signals that may need to be removed before any geophysical signal can be identified.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Computers and Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cageo.2009.08.011","issn":"00983004","usgsCitation":"Langbein, J.O., 2010, Computer algorithm for analyzing and processing borehole strainmeter data: Computers & Geosciences, v. 36, no. 5, p. 611-619, https://doi.org/10.1016/j.cageo.2009.08.011.","startPage":"611","endPage":"619","numberOfPages":"9","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":217104,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2009.08.011"},{"id":245021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f955e4b0c8380cd4d587","contributors":{"authors":[{"text":"Langbein, John O. 0000-0002-7821-8101 langbein@usgs.gov","orcid":"https://orcid.org/0000-0002-7821-8101","contributorId":3293,"corporation":false,"usgs":true,"family":"Langbein","given":"John","email":"langbein@usgs.gov","middleInitial":"O.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":459311,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037087,"text":"70037087 - 2010 - Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037087","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival","docAbstract":"We used markrecapture estimation techniques and radiography to test hypotheses about 3 important aspects of recruitment in big brown bats (Eptesicus fuscus) in Fort Collins, Colorado: adult breeding probabilities, litter size, and 1st-year survival of young. We marked 2,968 females with passive integrated transponder (PIT) tags at multiple sites during 2001-2005 and based our assessments on direct recaptures (breeding probabilities) and passive detection with automated PIT tag readers (1st-year survival). We interpreted our data in relation to hypotheses regarding demographic influences of bat age, roost, and effects of years with unusual environmental conditions: extreme drought (2002) and arrival of a West Nile virus epizootic (2003). Conditional breeding probabilities at 6 roosts sampled in 2002-2005 were estimated as 0.64 (95% confidence interval [95% CI] = 0.530.73) in 1-year-old females, but were consistently high (95% CI = 0.940.96) and did not vary by roost, year, or prior year breeding status in older adults. Mean litter size was 1.11 (95% CI = 1.051.17), based on examination of 112 pregnant females by radiography. Litter size was not higher in older or larger females and was similar to results of other studies in western North America despite wide variation in latitude. First-year survival was estimated as 0.67 (95% CI = 0.610.73) for weaned females at 5 maternity roosts over 5 consecutive years, was lower than adult survival (0.79; 95% CI = 0.770.81), and varied by roost. Based on model selection criteria, strong evidence exists for complex roost and year effects on 1st-year survival. First-year survival was lowest in bats born during the drought year. Juvenile females that did not return to roosts as 1-year-olds had lower body condition indices in late summer of their natal year than those known to survive. ?? 2009 American Society of Mammalogists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1644/08-MAMM-A-295.1","issn":"00222372","usgsCitation":"O'Shea, T., Ellison, L., Neubaum, D., Neubaum, M., Reynolds, C., and Bowen, R.A., 2010, Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival: Journal of Mammalogy, v. 91, no. 2, p. 418-428, https://doi.org/10.1644/08-MAMM-A-295.1.","startPage":"418","endPage":"428","numberOfPages":"11","costCenters":[],"links":[{"id":487919,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/08-mamm-a-295.1","text":"Publisher Index Page"},{"id":217134,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/08-MAMM-A-295.1"},{"id":245053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a353e4b0e8fec6cdb821","contributors":{"authors":[{"text":"O'Shea, T. J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":50100,"corporation":false,"usgs":true,"family":"O'Shea","given":"T. J.","affiliations":[],"preferred":false,"id":459313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, L.E.","contributorId":103610,"corporation":false,"usgs":true,"family":"Ellison","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":459317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neubaum, D.J.","contributorId":43720,"corporation":false,"usgs":true,"family":"Neubaum","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":459312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neubaum, M.A.","contributorId":50866,"corporation":false,"usgs":true,"family":"Neubaum","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":459314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reynolds, C.A.","contributorId":102301,"corporation":false,"usgs":true,"family":"Reynolds","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":459316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, R. A.","contributorId":80623,"corporation":false,"usgs":false,"family":"Bowen","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":459315,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}